Enhancing Cybersecurity in Healthcare

Cybersecurity is a growing concern across all industries, but certain sectors, such as public services, educational institutions, healthcare, and mid-sized businesses, are particularly vulnerable. The increasing sophistication of cyber threats, coupled with greater reliance on digital infrastructure, makes it essential to proactively address security vulnerabilities. This white paper explores the primary cybersecurity challenges in these sectors, with a focus on the healthcare industry, the impact of breaches, and recommended strategies for enhancing cybersecurity defenses.

The healthcare industry is undergoing significant growth due to a variety of factors, including advancements in medical technology, demographic changes, and evolving patient expectations. This expansion is driven by the aging population, the rising prevalence of chronic diseases, and innovations in healthcare delivery such as electronic health records (EHRs), telemedicine, and connected medical devices. Additionally, both governments and private sectors are investing heavily in healthcare infrastructure, including hospitals, clinics, and long-term care facilities. Mergers, acquisitions, and partnerships are further expanding the reach of healthcare networks, improving service delivery, and reducing costs.

However, with this digital transformation comes heightened cybersecurity risks. The healthcare industry is a prime target for cybercriminals due to the high value of sensitive medical data and the critical nature of its services. Cyberattacks in healthcare can have severe consequences, affecting both patient safety and operational integrity.

The healthcare sector is particularly vulnerable to cyberattacks due to the sensitive nature of the data it handles, the complexity of its digital systems, and its reliance on technology.

Some of the key cybersecurity risks in healthcare include:

  • Sensitive Personal Information Healthcare data contains highly sensitive personal details, including names, addresses, social security numbers, insurance details, and medical histories. This information is highly valuable to cybercriminals as it can be used for fraud, identity theft, medical fraud, and blackmail.
  • Medical Identity Theft Stolen healthcare data can be used for medical identity theft, where criminals use a patient’s identity to receive medical care, obtain prescription drugs, or file false insurance claims. Unlike financial information, medical records are difficult to recover or change, making this data particularly attractive to attackers.
  • Interconnected Devices and Systems Healthcare facilities use a variety of interconnected systems, such as EHRs, medical devices, and hospital networks. The complexity of these systems creates multiple entry points for attackers, where a breach in one system can quickly
  • Legacy Systems Many healthcare organizations still rely on outdated systems that are difficult to secure and update, making them prime targets for cyberattacks. Legacy systems often lack modern security features, leaving gaps for attackers to exploit
  • Ransomware Attacks Healthcare providers are frequent targets for ransomware attacks, where attackers encrypt critical data and demand payment to restore access. Due to the critical nature of healthcare services, organizations are more likely to comply with ransom demands to avoid disruptions in patient care.
  • Internet of Medical Things (IoMT) The growing number of connected medical devices, including pacemakers and insulin pumps, increases the risk of cyberattacks. Many of these devices were not designed with security in mind, making them vulnerable to exploitation.
  • Insider Threats Healthcare organizations are also vulnerable to insider threats, where employees or contractors misuse their access to sensitive data or introduce malware into the system, either intentionally or unintentionally.
  • Lack of Cybersecurity Awareness Many healthcare staff lack adequate cybersecurity training, making them more susceptible to phishing scams, social engineering attacks, and weak password management. Human error remains a leading cause of cyber incidents in the healthcare sector.
  • Resource Allocation In healthcare, a significant portion of the budget is allocated to patient care, often leaving cybersecurity as a lower priority. With limited resources, organizations may struggle to address evolving cyber threats effectively
  • Limited Budgets Many healthcare organizations, particularly smaller facilities, operate with limited cybersecurity budgets. As a result, they may not invest sufficiently in advanced security tools, leaving them more vulnerable to cyber threats.
  • Telemedicine and Remote Care The rapid adoption of telemedicine during the COVID-19 pandemic has introduced new cybersecurity risks. Many telemedicine platforms may not have been designed with strong security measures, making them potential targets for cyberattacks.
  • Disruption to Patient Care Cyberattacks that disable hospital systems, delay surgeries, or prevent access to medical records can have life-threatening consequences. Attackers exploit this urgency, knowing that healthcare organizations are likely to pay ransoms to restore services quickly.
  • Cloud-Based Systems The increased use of cloud services to store healthcare data and manage operations creates additional security risks. Misconfigurations, weak encryption, and inadequate access controls can lead to data leaks or unauthorized access.
  • Third-Party Risks Healthcare organizations frequently work with third-party vendors, including medical device manufacturers and software providers. These vendors may have access to sensitive data but may not meet the same security standards, making them weak links in the security chain.
  • Nation-State Attacks Nation-state actors often target healthcare organizations for espionage or political motives. State-sponsored attackers may seek to steal sensitive research data, such as vaccine development information or clinical trial results, making these organizations particularly attractive to sophisticated and well-funded attackers.

What Needs to be Done

Although the healthcare industry is governed by strict regulations regarding the protection of personally identifiable information (PII) and protected health information (PHI)—such as HIPAA in the U.S.—many larger hospital facilities, despite heavy investments in cybersecurity, continue to experience frequent cyberattacks for various reasons previously mentioned.

Smaller medical facilities, however, face even greater cybersecurity risks due to their limited financial resources, reliance on outdated systems, lack of dedicated cybersecurity personnel, and overall weaker defenses. Their dependence on legacy systems, insufficient employee training, and inadequate data protection strategies leave them vulnerable to a broad range of cyber threats, including ransomware attacks and data breaches. In many cases, they may also fail to fully comply with HIPAA or other regulatory requirements.

For larger healthcare organizations, reducing risk is even more complex, as they often manage their own IT environments. This necessitates an independent, comprehensive review of their entire information technology infrastructure, including physical security measures.

A cybersecurity assessment should thoroughly evaluate the organization’s security posture, encompassing everything from technical defenses to governance and regulatory compliance. By identifying vulnerabilities, monitoring threats, and preparing for potential incidents, an organization can build a more resilient defense against cyberattacks and improve its overall security strategy. Such assessments should culminate in actionable recommendations to address gaps, strengthen defenses, and mitigate risks.

The review should include the following key areas:

Benefits of Business Process Automation

There are several cybersecurity assessment frameworks, such as the NIST Cybersecurity Framework (NIST CSF), that are widely recognized and adopted across various industries to help organizations evaluate their security posture, identify vulnerabilities, and implement effective cybersecurity controls. The best framework for an organization depends on its industry, regulatory requirements, size and specific security needs.

Developed by the U.S National Institute of Standards and Technology (NIST), the NIST Cybersecurity Framework s one of the most respected and widely used frameworks. It provides organizations with guidelines to manage and reduce cybersecurity risk effectively.

Regardless of which framework is selected, the assessment must be conducted by an experienced and knowledgeable firm. This ensures that all assets, including third-party dependencies, are accounted for. Moreover, findings should be risk-rated and accompanied by a remediation plan aligned with the organization’s risk appetite.

Large healthcare providers can significantly benefit from adopting a Zero Trust security model, which greatly enhances their defense mechanisms. Zero Trust continuously verifies users and devices, segments networks, and sensitive patient data, secure loTs devices and comply with regulatory standards like HIPAA.

As cyber threats become more sophisticated, the Zero Trust model offers a proactive, resilient, and adaptable approach to safeguarding healthcare organizations against breaches, ransomware, and other cyber risks
Achieving Zero Trust is not trivial, but it is becoming increasingly necessary for large enterprises, especially hospitals and healthcare facilities. With the rise of generative AI, the sophistication and frequency of cyberattacks have increased tenfold, posing a major challenge for CIOs and CISOs in securing their environments.

Zero Trust operates on the principle that no user, device, or transaction should be trusted by default, regardless of their location, credentials, or network connection. Key components of Zero Trust include network segmentation, micro-segmentation, identity and access management (IAM), continuous authentication and authorization, least privilege access, network and data encryption, threat intelligence, and continuous monitoring.

Achieving Zero Trust is a journey that begins with a thorough understanding of an organization’s assets (hardware, software, people, and locations), the criticality of these assets, and how they are interconnected and accessed. Applying the principle of least privileged access can only be effective when you have full visibility of your assets and who or what can access them. This raises the question: how many organizations truly have a comprehensive picture of their assets and the maturity of their Identity and Access Management (IAM) systems? This is especially relevant to the healthcare industry, which is continuously evolving and facing a vast and expanding attack surface.

Key Challenges in Implementing Zero Trust:

  1. Zero Trust Complexity: Implementing Zero Trust is complex, requiring a deep understanding of an organization’s network, applications, and data flows. Designing a comprehensive architecture, including microsegmentation and access controls, is especially challenging in large environments.
  2. Legacy Systems: Integrating legacy systems into a Zero Trust framework is challenging due to their lack of modern security features or the need for significant modifications.
  3. User Experience: Zero Trust controls, like multi-factor authentication, may impact user experience and productivity. Ensuring security with a seamless user interface is crucial.
  4. Cultural Shift: Zero Trust requires a cultural shift, moving from a perimeter-based security mindset to continuous verification. Investing in user education is essential to overcome resistance.
  5. Operational Challenges: Managing access controls, segmentation policies, and authentication mechanisms presents operational challenges in complex environments.
  6. Integration: Zero Trust often requires integration with existing security technologies. Ensuring compatibility and smooth integration is challenging and requires careful planning.
  7. Scalability: As organizations grow, maintaining a scalable Zero Trust architecture becomes challenging. Handling increasing traffic, user volumes, and data volumes without compromising performance is crucial.
  8. Compliance: Zero Trust implementations must align with industry regulations. Ensuring solutions meet compliance standards and generate necessary audit logs is essential.

As mentioned earlier, the journey towards achieving Zero Trust should begin with a comprehensive assessment conducted by an experienced entity with deep expertise in cybersecurity controls. This entity should work closely with key stakeholders, including business owners, to accurately identify gaps and potential risks. A well-defined strategy with a clear roadmap is essential for taking the appropriate steps toward achieving Zero Trust, or at least approaching near-Zero Trust status.

Additionally, organizations must establish Key Risk Indicators (KRI), Key Operational Indicators (KOI), and Key Performance Indicators (KPI) to effectively measure the safety, soundness, and overall cybersecurity posture of the company.

For the healthcare industry, having a fully developed and thoroughly tested Disaster Recovery and Incident Management plan is critical, as any downtime can have serious, even life-threatening, consequences.

Smaller healthcare entities—including doctor’s offices, urgent care facilities, nursing homes, and assisted living centers—may have a smaller attack surface, but they often lack the necessary in-house IT expertise, have limited budgets, and may rely on third-party IT providers to manage their environments. In many cases, these organizations may not fully understand their risks, and their internal or third-party managed IT providers (MSPs) may not offer adequate cybersecurity protections.

These smaller healthcare organizations would also benefit from a complete security assessment to identify vulnerabilities and partner with a service provider that offers not only mature managed IT services but also a strong cybersecurity team to properly safeguard their operations.

Conclusion

The healthcare industry faces unique cybersecurity challenges due to its reliance on sensitive data, interconnected systems, and digital infrastructure. While technology is revolutionizing healthcare, it also introduces significant vulnerabilities that must be addressed. To mitigate these risks, healthcare organizations must understand their overall risk, invest in robust cybersecurity measures, enhance staff training, and develop comprehensive incident response plans. Without these proactive steps, the healthcare sector will remain a prime target for cyberattacks, with potentially devastating consequences for both patients and providers.

About the Author

Kambiz Mofrad is a highly accomplished senior executive and subject matter expert in Cybersecurity, Artificial Intelligence, Technology, and Data Privacy, with extensive leadership and implementation experience. His career has focused on resolving complex enterprises and regulatory challenges. In his current role, Kambiz serves as the Chief Information Security Officer (CISO) at SVAM International, with additional responsibilities as the Head of Global Infrastructure and acting Chief Cyber Security Architect.



With nearly three decades of experience at Citigroup in various risk management and technology leadership positions, Kambiz has a remarkable track record of exceeding corporate objectives.

Collaboration Solutions

Kambiz Mofrad

CISO / Managing Director

SVAM International

Throughout his career, he has demonstrated comprehensive expertise in technical development, information security, supplier risk management, operational management, data governance, and delivering best-in-class technology solutions for global and institutional clients.

Automation Strategies for Growing Businesses

In the past, you may have had to rely on manual business workflows to carry out tasks, involving anything from data entry to invoicing. While these processes may have worked in the early stages of your business, as you grow, these tasks can quickly become time-consuming and prone to errors. That’s where business process automation comes in.

With BPA, you can automate these tasks, allowing your team to focus on more strategic, value-adding activities. From customer support to sales and marketing, virtually every aspect of your business can be automated, streamlining your operations and boosting your productivity.

The Importance of Automation for Growing Businesses

Why is automation so important for growing businesses? Automation can help you save time. Automating routine tasks can free up your team’s time to focus on more critical activities. This can lead to increased productivity and efficiency, driving your business forward.

Moreover, automation can help you reduce costs. By reducing the need for manual labor, you can cut down on your overhead costs. Furthermore, automation can help minimize errors. With business process automation software, you can ensure accuracy and consistency, reducing the risk of costly mistakes.

Lastly, automation can scale your business. With automation, you can handle more tasks without increasing your workforce. This can help you grow your business without necessarily increasing your costs.

A Look at The Automation Statistics

The importance of automation isn’t just theoretical. The stats back it up. According to a report by McKinsey, automation could raise productivity growth globally by 0.8 to 1.4 percent annually. Meanwhile, a study by Deloitte found that companies that have implemented automation have seen a 20% reduction in costs.

Furthermore, a survey by Forrester revealed that 58% of companies plan to use robotic process automation (RPA) by 2021. These statistics underscore the growing trend towards automation and the benefits it can bring to businesses of all sizes.

Understanding Business Process Automation Software

So, what exactly is business process automation software? Essentially, it’s a type of software that automates routine business processes. This can include anything from invoicing to customer support.

With business process automation software, you can automate these tasks, saving time and reducing the risk of errors. The software works by following pre-defined rules and workflows. This ensures consistency and accuracy, making your operations more efficient.

Many business process automation software types are available, from general-purpose tools to specialized solutions. The right software for you will depend on your business needs and goals.

Strategies for Implementing Business Process Automation

Implementing business process automation (BPA) can significantly improve efficiency, reduce errors, and save time and resources. However, it requires careful planning and execution. Here are some strategies to consider when implementing business process automation:

Identify and Prioritize Processes:

Begin by identifying the processes within your organization that are prime candidates for automation. These are typically repetitive, rule-based, and time-consuming tasks.

Set Clear Objectives:

Define clear and specific objectives for automation, such as reducing processing time by a certain percentage, minimizing errors, or improving customer satisfaction. Having measurable goals helps track progress.

Involve Stakeholders:

Engage all relevant stakeholders, including employees who perform the processes, to get their input and buy-in. This will help you understand their pain points and concerns.

Select the Right Tools:

Choose the appropriate automation tools or platforms that align with your organization’s needs and objectives. Standard automation tools include robotic process automation (RPA) software, workflow management systems, and custom software development.

Design Workflow and Processes:

Redesign the processes you intend to automate for maximum efficiency. Eliminate unnecessary steps, simplify workflows, and ensure that they are well-documented.

Data Integration:

Ensure the automation system seamlessly integrates with existing data sources and methods. Data quality and consistency are crucial for successful automation.

Test and Refine:

Before rolling out automation on a large scale, conduct pilot tests and gather user feedback. Use this feedback to refine and improve the automated processes.

Security and Compliance:

Implement security measures to protect sensitive data and ensure compliance with relevant regulations (e.g., GDPR, HIPAA). Security and privacy should be at the forefront of your automation strategy.

Change Management:

Prepare your employees for the changes automation will bring. Provide training and support to help them adapt to new roles and responsibilities.

Monitoring and Optimization:

Continuously monitor the performance of automated processes. Use analytics and key performance indicators (KPIs) to identify bottlenecks or areas for improvement and make necessary adjustments.

Benefits of Business Process Automation

How Can RPA From SVAM Help You Automate Business Process?

If you’re looking for a solution to automate your business processes, consider SVAM’s RPA services. SVAM is a leading provider of business process automation services, helping businesses like yours automate their operations and boost their productivity.

With SVAM’s RPA services, you can automate tasks across various systems and applications. This can include anything from data entry to customer support. Automating these tasks can save time, reduce errors, and cut costs.

Moreover, you can scale your operations without increasing your workforce with the right automation tools and support. This can help you grow your business while keeping your costs in check.

Embracing Automation for Business Growth With SVAM

In conclusion, automation is a powerful tool for growing businesses. Automating your business processes can save time, reduce costs, and boost your productivity. Moreover, with the right business process automation software and strategies, you can scale your operations and drive your business forward.

Whether you’re just starting your automation journey or looking to take it to the next level, SVAM can help. With our business process automation services, we can help you automate your operations and achieve your business goals. So why wait? Start embracing automation for business growth with SVAM today.

How is automation used in the manufacturing industry

Automation is a must-have for organizations looking forward to taking the hyper-growth path. Whether it’s about businesses, supply chains, or healthcare, every sector is pulling the levers to leverage the potential of automation and integrate its capabilities into their systems. Wanting to harness the benefits, AI implementation has seen a significant spike, jumping from 35% to 60% within a year, making the retail market the sector with the most rapid increase.

The increase is also a result of industry leaders who are enticed by what automation and AI do and are continuously looking for better automation.

73% of IT leaders credit automation with helping employees save 10–50% of the time they previously spent on manual tasks. Meanwhile, 85% of managers think automating specific tasks will give them and their employees extra time to focus on more critical company goals.

At its core, automation refers to using technology, specifically machines, to perform tasks with little human intervention.

Now imagine this concept applied to the manufacturing industry where millions and trillions of items are being processed. It conjures up images of futuristic factories filled with robots. It’s not all science fiction, though. The reality is that automation is already playing a significant role in the manufacturing industry. The people are using it here, and its influence is growing every day.

Understanding Automated Manufacturing Systems

Before we delve deeper, let’s understand what automated manufacturing systems mean. Unlike the literal robots with metallic arms, automation is a system or multiple systems designed to perform manufacturing processes with minimal human involvement, using various control systems such as computers or robots. They are often used in industries where high volumes of products are produced. They are programmed with specific instructions, ensuring each task is performed accurately and efficiently.

Automated manufacturing systems can be as simple as a single machine performing a specific task or as complex as a full-fledged production line. Think about the assembly line in a car factory. Each robot has a specific job: one installs the wheels, another attaches the doors, and so on, until a shiny new car rolls off the production line.

The beauty of integrating automation in the manufacturing industry is that it can work round the clock, delivering consistent quality while reducing human error.

The Importance of Automation in the Manufacturing Industry

Automation is not just a fancy, high-tech gimmick; it’s a game-changer for the manufacturing industry, becoming a vital tool for manufacturers to stay competitive in today’s technologically advanced world.

One of the main advantages of automation in manufacturing is its efficiency. Automated manufacturing systems can perform tasks much faster than their human counterparts and can do so without taking breaks. This increases productivity, allowing companies to produce more goods in less time.

Moreover, automation reduces the risk of human error, which can lead to costly mistakes. Machines are less likely to make mistakes, and even when they do, they are easier to correct and prevent from happening again. This leads to improved quality, leading to increased customer satisfaction.

Importance of Automation in the Manufacturing Industry

Embrace automation with SVAM to address these challenges and optimize your business operations.

Critical Benefits of Manufacturing Process Automation

By now, you’re starting to grasp how to automate manufacturing. But why should you go through all this trouble? Well, the benefits of manufacturing process automation are manifold and far-reaching. A market research company study found that industrial automation can increase productivity by up to 30% in some industries, leading to significant cost savings.  The benefits of automation do not end here.

Enhanced Efficiency

Automation optimizes complex workflows by minimizing manual interventions and eliminating repetitive tasks. This streamlines production processes, reduces bottlenecks and ensures tasks are completed precisely. As a result, the entire manufacturing cycle becomes more efficient, allowing resources to be allocated effectively and improving overall operational productivity.

Cost Savings

Automated manufacturing processes lead to significant cost savings. By reducing the need for manual labor and minimizing errors, businesses can cut down on labor costs. Moreover, automation helps efficiently use raw materials, lowering material wastage. Over time, these cost savings accumulate, contributing to improved profitability.

Real-time Insights

Automation provides real-time visibility into various aspects of production, inventory levels, and supply chain operations. With accurate and up-to-date data readily available, decision-makers can make informed choices quickly. This capability enables proactive responses to changing market demands, helps identify and resolve issues promptly, and enhances overall operational agility.

Higher Quality Products

Automated systems follow standardized processes consistently, leading to higher-quality products. With reduced manual intervention, the likelihood of errors or variations in manufacturing decreases. This translates to fewer defects, increased product reliability, and improved customer satisfaction.

Improved Scalability

Automated manufacturing processes are designed to be easily scalable. Computerized systems can handle higher production volumes as demand increases without sacrificing efficiency or quality. This flexibility enables businesses to meet market demands while maintaining operational excellence.

Faster Time-to-Market

Automation accelerates various stages of production, from design to delivery. By streamlining processes, businesses can significantly reduce lead times. This allows products to reach the market faster, enabling companies to capitalize on market trends and gain a competitive advantage.

Embrace Automation in the Manufacturing Industry With SVAM

Remember, automation is not about replacing humans with machines. It’s about using technology to enhance human capabilities to create a safer, more efficient, and more productive workplace.

The journey toward automation may seem daunting initially, but with the proper planning and execution, you can reap its numerous benefits. So why wait? Connect with the subject matter experts at SVAM today to know how we can help with the automation of your business.

We have delivered several automation services for various industries, including law firms, transit, healthcare, and the environment, and seen them grow with automation.

How Can SVAM Help You?

Every business consistently encounters the task of enhancing efficiencies and productivity. Robotic Process Automation (RPA) technology presents a significant opportunity to elevate output, cut costs, and augment productivity by automating manual processes. By implementing RPA, businesses can seamlessly introduce automation and achieve operational efficiencies with minimal risk.

SVAM is at the forefront of guiding clients to recognize the importance of integrating RPA with AI and ML. Through collaboration and incorporating UI Path’s versatile platform, we have designed and crafted comprehensive demonstrations and proofs of concept catering to private and public domains.

Get in touch with us today to learn more about our services and how we can help your business: https://svam.com/contact-us/

benefits of using automation in manufacturing

To maintain a competitive edge in the fiercely competitive business of manufacturing, companies must carefully walk the line between investing in new technologies and minimizing costs. In this pursuit of excellence, digital automation has emerged as a beacon of hope through its combination of software robotics, AI, and the Internet of Things (IoT), to reach unparalleled levels of productivity, quality, and scalability in the manufacturing industry.

This article explores the inherent benefits of employing business process automation software concerning manufacturing and its potential to revolutionize the industry. From enhancing production efficiency to addressing the skills gap, each aspect represents a stepping stone toward a more optimized, competitive, and future-proof manufacturing landscape.

Automation has begun to usher in a new era where traditional manufacturing methods and manual labor will soon be replaced with virtual software robots that work in conjunction with machines to perform workflows with greater accuracy, faster speeds, and absent human error.

How Can Digital Automation Help Companies in the Manufacturing Industry?

According to a recent study, if 64% of manufacturing tasks were automated 749 billion working hours would be saved globally. This statistic alone showcases how automation can increase workforce efficiency at any business, provided solutions are implemented properly:

1. The Efficiency Leap: Enhancing Production Efficiency through Automation

One of the most evident benefits of automation lies in its ability to elevate production efficiency to unprecedented heights. Manufacturing operations that leverage automation technologies witness a significant reduction in cycle times and an increase in output. Machines, unaffected by fatigue, work continuously, leading to a continuous and consistent flow of production. As a result, businesses can meet growing demands while reducing lead times, ensuring on-time deliveries, and bolstering customer satisfaction.

2. The Pursuit of Perfection: Ensuring Product Quality and Consistency

In a highly competitive market landscape, product quality is paramount in determining a manufacturer’s success. Human errors are unavoidable, and even the most skilled workers can falter under monotonous and repetitive tasks. Automation, with its precision and reliability, eradicates variations, leading to uniformity and superior product quality. By implementing automated manufacturing systems in quality control processes, manufacturers can achieve a remarkable reduction in defects and rejections, saving both time and resources.

3. Prioritizing Safety: Improving Workplace Safety Through Automation

Employee safety is a cornerstone of responsible manufacturing practices and is dramatically enhanced when automation solutions are implemented. The integration of automation technology mitigates risks by reducing the involvement of human workers in hazardous or physically demanding tasks. Business process automation tools excel in handling dangerous materials and environments, leading to a dramatic decrease in workplace accidents and ensuring a safer work environment for all. Moreover, this fosters a positive work culture, improving employee morale and retention rates.

4. Smart Resource Management: Optimizing Resources with Automation

Resource management plays a pivotal role in operational efficiency and sustainability. Automation aids manufacturers in optimizing the use of resources such as raw materials, energy, and time. By streamlining processes, automating energy-intensive tasks, and minimizing waste, businesses can reduce their environmental footprint and embrace a greener approach to manufacturing. This not only aligns with the rising demand for eco-friendly products but also establishes the brand as a responsible corporate citizen.

5. Embracing Agility: Flexibility and Scalability in Manufacturing

The business landscape is perpetually evolving, and manufacturers must adapt swiftly to changing market demands. Automation empowers companies to embrace agility by offering unparalleled flexibility and scalability. Automated systems can be quickly reprogrammed and reconfigured to accommodate different product specifications, sizes, and configurations. Consequently, businesses will be more equipped to seize new market opportunities, pivot their production lines, and respond promptly to customer demands, gaining a competitive edge in the dynamic marketplace.

6. Empowering Data-Driven Decision Making

As Industry 4.0 continues to transform the manufacturing landscape, data has emerged as a valuable asset. Automation integrates sensors and IoT devices that gather real-time data on production performance, machine health, and quality metrics. This treasure trove of information empowers manufacturers to make data-driven decisions, optimize processes, predict maintenance requirements, and identify potential bottlenecks. The ability to leverage data effectively equips businesses with a strategic advantage, propelling them toward continuous improvement and operational excellence.

7. Bridging the Skills Gap: Collaborative Automation

The manufacturing sector has been grappling with a skills void, where the demand for skilled workers exceeds the available workforce. Automation offers a solution to this challenge through collaborative robotics or cobots. These robots work alongside human operators, handling repetitive or physically demanding tasks, while human workers focus on more complex and creative aspects of production. Collaborative automation not only bridges the skills gap but also augments human potential, fostering a harmonious and productive human-machine partnership.

How to Automate Manufacturing?

Automating manufacturing processes is a key step toward streamlining operations and maximizing productivity. Here’s a concise guide to help you navigate the journey of automation:

Assess Your Processes: Begin by evaluating your existing manufacturing workflows. Identify manual, high-volume, and repetitive tasks as areas with automation potential.

Set Clear Objectives: Define your automation goals, whether it’s to increase output, reduce errors, or enhance quality. Clear objectives will guide your automation strategy.

Choose the Right Technology: Select automation solutions that align with your specific needs. Explore options like robotics, AI-powered systems, or IoT devices, depending on your industry and requirements.

Start with a Pilot Project: Launch a small-scale pilot to test the effectiveness of automation in a controlled environment. Analyze the results and gather feedback to refine your approach.

Integrate Seamlessly: Ensure that your business process automation solution integrates smoothly with existing systems. This fosters a cohesive and efficient manufacturing ecosystem.

Train Your Workforce: Empower your employees with the skills needed to work alongside automated systems. Encourage a collaborative mindset that values automation as a tool for productivity enhancement.

Monitor and Optimize: Continuously monitor the impact of automation on key performance indicators. Use data insights to optimize processes and make data-driven decisions.

Scale Gradually: Expand automation gradually across different processes and departments as your team becomes more comfortable with the technology.

Prioritize Data Security: Implement robust cybersecurity measures to safeguard sensitive data, ensuring compliance with regulations and protecting your company’s reputation.

Embrace the Future: Embrace the principles of Industry 4.0 to unlock the full potential of automation and prepare your manufacturing business for a dynamic and competitive future.

Benefits of Automation in Manufacturing

benefits of using automation in manufacturing

Automation brings multiple benefits to the manufacturing industry. If you wish to harness the full potential of your business, it is time to switch to automation.

  • Increased Productivity
  • Enhanced Quality Control
  • Improved Safety
  • Increased Flexibility
  • Shortened Production Time
  • Data-driven Decision Making
  • Skilled Workforce Utilization

Get powerful automation solutions from SVAM and empower your manufacturing business with the technology of the future.

Experience the Benefits of Automation in Manufacturing

Automation has ushered in a new era of manufacturing, where efficiency, quality, safety, and flexibility converge to drive optimal growth and profitability. From enhanced production efficiency to data-driven decision-making business process automation services can help with each aspect of automation.

SVAM International, Inc. is a global leader in combining RPA with AI and Machine Learning (ML) and excels in automating repetitive tasks intelligently for its clients. By bridging the gap between intelligent automation and artificial intelligence, we effectively minimize staffing expenses and mitigate the potential for human errors. Our expertise lies in creating seamless solutions that optimize efficiency and drive productivity for our valued clients.

A growing number of organizations (36%) are using business process management software to automate workflows, with 50% of business leaders planning to automate more repetitive tasks. If you wish to join the bandwagon of growth, it’s time to connect with SVAM.

witness increased productivity in healthcare industry through rpa digital transformation

Every day hospitals and medical offices are inundated with patients requiring immediate medical attention. As a result, healthcare employees have become overburdened with administrative tasks concerning insurance claims, patient record & data management, insurance claims, appointment scheduling, and post-discharge instructions – this is where the RPA in the healthcare industry comes into play.

Business process automation in healthcare is an advanced digital technology capable of mimicking & replacing human interaction among multiple computer systems & applications by facilitating tasks related to third-party communications, data management, interface usage, form execution, and file transfer.

In this blog, we discuss the application of RPA in healthcare, and how it can be used as an optimal business management tool for medical practitioners.

What is Robotic Process Automation (RPA)?

Robotic Process Automation, or RPA, refers to the development & use of customized software robots to automate rule-based workplace tasks that are repetitive, time-consuming, and high-volume.

Using RPA in the healthcare industry to automate human tasks results in:

  • Increased productivity with employees better able to focus on more strategic tasks;
  • Increased efficiency as robots perform tasks faster and at higher volumes than humans;
  • Minimal human error since workplace actions are executed by a robot instead of a person;
  • Reduced costs with the price of RPA software is merely a fraction of what healthcare providers pay employees for conducting the same activities slower and less efficiently; and
  • Increased employee morale who are no longer required to labor over tedious and monotonous tasks.

Gartner estimates that by 2024, organizations will lower operational costs by 30% by combining automation with operational processes. Additionally, markets and markets say that the Robotic Process Automation (RPA) Market is estimated to reach USD 2,467.0 million by 2022, at a CAGR of 30.14%. This includes the use of RPA in HR, healthcare, supply chains, retail stores, and more.

How is Business Process Automation in Healthcare Beneficial?

Studies estimate that the Healthcare industry collectively spends a stunning $2.1 billion each year on manual tasks, including those related to data management alone.

By using robotic process automation for medical billing or for automating office processes, like data management, time-consuming employee tasks are instead completed by robots in a more efficient, reliable manner, and with reduced human error. This enables doctors, nurses, and healthcare staff to focus on patient care rather than paperwork.

As many healthcare office processes are rule-based, time-consuming, and high-volume, they are perfectly suited for RPA, including the following:

1. Patient Records & Data

A survey conducted in 2021 found that 67% of healthcare organizations heavily rely on paper documents, which include patient records & data management, a prime candidate for digital transformation.

Computer networks & systems in the healthcare industry process massive amounts of patient information and health data from various internal and external sources, including third-party portals, insurance companies, and health record databases. Burdening useful resources with the paperwork associated with managing data can not only hamper productivity but is unnecessary.

For example, RPA can be used to directly process patient records throughout a patient’s care and save all data relevant to him or her. Hospital staff is then able to extract all pertinent information and enter it into digital systems within a matter of minutes rather than hours, thereby improving efficiency and leveraging the benefits of automation for patient care. Automation can also be used to generate reports and offer insights to track the health conditions of patients and develop customized treatment plans for individual patients.

As a result, the use of RPA in the healthcare industry can process patient records & data with greater accuracy, at a faster pace, with enhanced security, and more consistently.

2. Billing

Medical billing and settlement of health payments processing are not only highly-repetitive and time-consuming but also error-prone when inputting, processing, and evaluations are done manually.

RPA can be used to develop a robot that automates the invoicing and billing processes in line with services offered as follows:

First, an RPA bot recognizes payment details using optical character recognition (OCR), then logs into the accounting system and inputs data into the relevant system’s fields. Once the invoice is created and registered into the system, the bot emails it to a patient. If there’s a delay in payment, the bot can send a customized reminder to the patient and create an attendance report with the current payment status for a finance manager.

The application of RPA in healthcare will streamline the settlement of health payments, processing of invoices, and management bills that are completed faster, with greater accuracy, and in a manner that reduces inaccuracies.

3. Claims Management

Claims management responsibilities of healthcare providers include processes such as data input, processing, evaluation, and dealing with appeals. The entire process, when handled manually or using generic software often proves to be highly inefficient and error-prone. The complexities of processing medical claims alone have created an industry now worth roughly $4.6 billion. More than 30-40% of health insurance claims are denied because of non-compliance with regulations.

RPA can be used effectively in the healthcare automation market to manage claims processing, reimbursements, referrals, and settlements with insurance providers. Bots can automatically populate insurance claims fields, prepare the claim, and finally claim to file.

Based on present use cases, it takes 12 seconds for an RPA solution to check the status of a health insurance claim compared to 85 seconds for a human, meaning that one robot could do the work of 9 full-time employees without error.

4. Scheduling and Managing Appointments

Appointment scheduling and management is a repetitive and time-consuming task faced by healthcare support staff daily. Whenever a patient wants to book an appointment, personnel are required to communicate directly with that patient to determine physician availability, change appointment times or locations, call for reminders, inform patients of cancellations, and reschedule bookings.

Implementation of RPA in the healthcare industry can instead be used to interact with patients by phone or email directly and enable them to manage appointments without interaction from medical staff. RPA bots offer appointment slots to a patient according to their needs and schedule according to doctor availability. Once the patient has booked an appointment, the bot schedules it in the database and removes that appointment slot. Bots can manage large volumes of appointments and send reminders faster and with better accuracy.

5. Post-Treatment Care

Typically, after patients are discharged from a hospital, they are expected to follow strict healthcare instructions, whether it be for medication, physical therapy, or meal plans. However, it’s often likely for the patient to forget or otherwise fail to comply with the post-discharge regimens properly.

In such cases, business process automation in healthcare can be used to manage post-discharge care and allow patients to confidently recover, after leaving a health facility. For example, RPA may be used to send reminders to patients about important actions such as taking medication, doing exercise, or following a meal plan. It can also assist patients when measuring vital signs, such as blood pressure, and then inform healthcare professionals of any problems or issues.

SVAM, International Inc. – Leader in RPA Technologies

By automating routine tasks in the healthcare industry, robots can be used as a digital workforce to fill in forms, manage reports, communicate with patients, and transfer patient records & data across various systems and interfaces.

SVAM International, a global leader in RPA technologies, can help you discover the power of RPA automation by assessing your company’s readiness, developing a prototype, and finally deploying an RPA robot customized to your internal system.

Implementing RPA makes healthcare IT systems more efficient, reduces costs, minimizes human error, and in a manner that provides a higher quality patient experience overall.

how rpa can transform supply chain management

Supply chain management (SME) refers to the path of a commercial product from its inception (or creation) to sale. Every business with a SME component has a compelling interest to minimize cost and time when offering a product for sale in the marketplace. To obtain a competitive edge, some companies have begun to implement Robotic Process Automation in supply chain as an effective way of reducing cost and time.

Specifically, RPA in the realm of SME has the potential of automatically extracting sales order data from all order types and eliminate data entry errors by automating major order processing steps and managing complex roles.

RPA technologies are still relatively new and many SME companies have no idea of its benefits. Thus, if you are unaware or are even vaguely aware of how RPA in supply chain can transform the supply chain, this blog is for you.

RPA History

RPA is the new buzzword in the IT sector. Regarded as one of the most powerful technologies that promises to change the future, integration of RPA in business is changing the manner from which organizations are streamlining the processes.

Previously, implementing RPA technologies was specific to IT companies, but over the past decade, its landscape has grown to include the retail sector, healthcare organizations, and supply chain management.

Robotic process automation is a modern technology that allows companies to automate complex and repetitive tasks. Software bots are programmed to carry out specific tasks to streamline the activities that take up the major chunk of the time of human workforce and reduce manual errors.

According to Gartner, the use of RPA in the U.S. increased 19.5% from 2021 to 2022. This is evidence that the popularity of RPA is growing with each passing year, in every sector, and is expected to catalyze in 2023.

Now that you have an idea about RPA, let’s discuss the key benefits of robotic process automation in supply chain.

Benefits of RPA

RPA is implemented in SME to help automate complex processes, eliminate errors, increase proficiency, and reduce the turnaround time. Since supply chain is an industry that is fueled by speed and accuracy, RPA is a technology that can deliver the same.

With the RPA the supply chain can increase operational efficiency and increase productivity thereby giving them an added advantage over the clients.

Apart from streamlining the processes, there are various advantages of integrating RPA in supply chain. Here are some of the key benefits

  1. RPA can help you cut back on the manual work as it can automatically undertake these tasks increasing the efficacy.
  2. One-time RPA implementation can help in cost cutting as more automation means less workforce which ultimately leads to fewer people required for the job. Thus, lesser payouts.
  3. There is a slight chance of error in data management as everything is undertaken by the automation software. Whereas there are always chances of error in human-led jobs, a well-programmed robot doesn’t leave room for any mistakes.

Well, advantages are obvious, but understanding the use cases is an important part of discussion of RPA in supply chain. Let’s zero in on the significant use cases

Use Cases of RPA in Supply Chain

Here is a rundown of the most important RPA use cases for the supply chain and associated factors:

1. Order Management

This is a priority task of any supply chain. Depending on the size of the company, thousands of requests must be processed and checked everyday before delivery and receipt processing. However, doing this physically can engage a lot of workforce, which will eventually lead to people shifting their focus from the important tasks.

However, by integrating RPA in supply chain, the entire order management process can be automated. RPA can also be developed and implemented to identify errors and warn authorized personnel when necessary. The RPA bots are so efficient that the errors only happen for only a fraction of orders.

2. Stock & Inventory management

Since it is a supply chain, there are always stocks to check and inventory to manage. Traditionally, these stocks have been checked by people, which has led to common human errors and a waste of productive man hours.

Since the entire process requires a lot of information, robotic process automation in supply chain and operations can screen the inventory, stock, amount of the items, send a warning and even request new items when required. Thus, maintaining the inventory at all times.

By monitoring the stock from time to time, these robots can improve the entire stock management process.

3. Receipt management

Data and orders yield receipts that require high-volume management and entry, making it perfect for automation. Intelligent automation software can easily process receipt reports from providers making the entire receipt management process fast and error-free.

4. Customer and People Management

The entire supply chain deals with numerous people at every point. These people are not only customers as end users but are also the people working in the internal processes of the supply chain, including suppliers, manufacturers, distributors, and vendors.

Since customers and personnel management is an important part of every business and industry, there must be a process that deals with the account of automation, messages and notices can be sent to them during the entire process.

As for the process pertaining only to the customers, RPA can manage everything right from the time the request is processed, delivered, or canceled.

To summarize, robotic process automation in supply chain can operate smoothly while providing a superior client experience in the supply chain and operation industries.

5. Data Management

There is high-volume data coming in from various channels in the supply chain. Due to the large amount of information and data that the firms handle, the data management duties can be time-consuming and boring. Processes like these are ideal for automation.

RPA routines the tasks like data validation, data entry, management and reviewing freeing up the resources to be more productive and undertake the jobs that require human intervention.

6. Planning Supply and Demand

One of the core jobs of supply chain is planning the supply and demand. These jobs are exceptionally vast and require a large number of human laborers, which leads to common human errors. The planning requires going through the reports at large for getting information from the market, providers, clients, and the organization.

Using RPA in the supply chain can carry out these tasks quicker and without errors. When integrated with the help of professional RPA solutions providers, the automation software can do tasks like reporting which will offer organized information that is easily accessible.

7. Produce Important Process Data

If you own the supply chain, you must be in charge of all the data. These intelligent automation robots can help you gather precise information regarding process efficacy, loopholes, gaps in the process, and knowledge regarding areas that need repair.

These gaps can be bridged using the automation software resources, and deliver the capabilities that can only be brought by intelligent automation.

8. Easy Automation

Automation is the need of the hour. May it be for the start-up businesses, medium sized businesses, or even the large ones, intelligent automation has the capability to drive excellent growth. While on the other hand, legacy systems may be a hindrance in the growth that is needed to outperform the competitors in this digitally driven world. Infact, according to Kommandotech, 57% of organizations want to use automation to boost employee productivity and performance.

What’s the best part? You don’t really have to replace your legacy system to implement RPA technologies, as those built on no-code platforms can work efficiently the same way. In fact, because legacy software has been designed to emulate human user activities like clicks, it is usually easier to educate robots to utilize it.

9. Quick Financing

One of the most famous and looked-upon forms of automation in a company may be RPA in accounting and finance. Robots have the potential to reduce pressure since departments require reliable data and are familiar with the difficulties associated with maintaining accounting procedures in high-volume firms.

Future of Robotic Process Automation in Supply Chain

The RPA solutions and applications will frequently include aspects of intelligent automation including artificial intelligence and machine learning. Since these are the technologies of the future, it is obvious that they are here to stay and so is RPA. When it comes to RPA in the supply chain, the usage is only set to grow as the supply chain will continuously want to improve their operations.

In this future, the objective is to reduce human decision-making altogether.

However, some would consider it as an ill-effect of automation as it may lead to lesser work force requirement, while others say that RPA will help them work in a better way. In a study by KommandoTech, almost 70% of employees agree that automation will allow them to qualify for higher-paying jobs.

Based on the conflicting facts, we can say that this technology suits the future requirements brought by digitization.

The supply chain runs on highly complex and high-volume data. Apart from the data, there are multiple monotonous tasks that can be automated and are currently taking up the workforce allowing the human labor force to focus on more important tasks for the organization. If you are considering joining the bandwagon of automation, now is an excellent time to consider the same and leverage the benefits of RPA in supply chain.

SVAM International Inc.

With the subject matter experts at SVAM International, you can integrate intelligent automation solutions into your business and enjoy the benefits of automation. We can help you define the RPA integration strategies, and the right RPA tool, and train the employees with RPA to ensure streamlined and smooth processes.

SVAM is on the way to use RPA in tandem with AI to increase the potential abilities of automation. In the future, we aim to deliver maximum performance with the intelligent automation solutions.

Implementation of RPA processes is vital and decides how the RPA will work in the future with the systems. If the implementation is not proper, there are chances that the automation might fail. Thus, the implementation must be done properly and by following the correct protocol.

1. Identification of a process

Determining the procedures that will gain from RPA implementation. This means looking at the current processes and figuring out which ones are time consuming, have chances of error and are repetitive enough to be automated.

2. Possibility and Method

Once the processes are identified, it’s also important to determine whether the selected processes are feasible enough to automate, fit to the technical demands and have complexity just precisely to fit to the automation.

3. Planning and Strategizing

After the process determination and possible assessment, it is time to create a strategy for carrying out the process. This includes determining the project’s goals, timing, budget, and resource as well as its scope.

4. Choosing Equipment and Technology

With such a variety of tools on the market, it is crucial to select those most appropriate that best meets the demands and specifications of the organization.

5. Training in Accordance with Flexibility

Automation is a fairly new technology and requires training. Thus, once implemented, employees are taught on proper usage of RPA in supply chain. This will ensure fail-proof ways of working with automation.

6. Testing and Deployment

Before the robotic process automation in supply chain is rolled out, the developed solution is tested to ensure intended performance.

7. Monitoring and Observability

Once the solution has been put into place, it is crucial to monitor it and make any necessary tweaks to make sure it functions well to suit your company. Additionally, it’s critical to regularly update the software to retain its efficacy.

The Bottomline

The supply chain runs on highly complex and high-volume data. Apart from the data, there are multiple monotonous tasks that can be automated and are currently taking up the workforce allowing the human labor force to focus on more important tasks for the organization. If you are considering joining the bandwagon of automation, now is an excellent time to consider the same and leverage the benefits of RPA in the supply chain.

To know more about our RPA services and solutions, get in touch with us today.

Robotic Process Automation in the Healthcare Industry
Every day hospitals and medical offices are inundated with patients requiring immediate medical attention. As a result, healthcare employees have become overburdened with administrative tasks concerning insurance claims, patient record & data management, insurance claims, appointment scheduling, and post-discharge instructions.

Robotic Process Automation, or RPA, is an advanced digital technology capable of mimicking & replacing human interaction among multiple computer systems & applications by facilitating tasks related to third-party communications, data management, interface usage, form execution, and file transfer.

In this blog, we discuss the application of RPA to the healthcare industry, and how it can be used as an optimal business management tool for medical practitioners.

What is Robotic Process Automation (RPA)?

Robotic Process Automation, or RPA, refers to the development & use of customized software robots to automate rule-based workplace tasks that are repetitive, time-consuming, and high-volume.

Using digital robots to automate human tasks results in:

  • Increased productivity with employees better able to focus on more strategic tasks;
  • Increased efficiency as robots perform tasks faster and at higher volumes than humans;
  • Minimal human error since workplace actions are executed by a robot instead of a person;
  • Reduced costs with the price of RPA software is merely a fraction of what healthcare providers pay employees for conducting the same activities slower and less efficiently; and
  • Increased employee morale who are no longer required to labor over tedious and monotonous tasks.

Gartner estimates that by 2024, organizations will lower operational costs by 30% by combining automation with operational processes. Additionally, markets and markets say that the Robotic Process Automation (RPA) Market is estimated to reach USD 2,467.0 million by 2022, at a CAGR of 30.14%.

How RPA Can Benefit the Healthcare Industry

Studies estimate that the Healthcare industry collectively spends a stunning $2.1 billion each year on manual tasks, including those related to data management alone.

By using RPA to automate office processes, like data management, time-consuming employee tasks are instead completed by robots in a more efficient, reliable manner, and with reduced human error. This enables doctors, nurses, and healthcare staff better able to focus on patient care rather than paperwork.

As many healthcare office processes are rule-based, time-consuming, and high-volume, they are perfectly suited for RPA, including the following:

1. Patient Records & Data

A survey conducted in 2021 found that 67% of healthcare organizations heavily rely on paper documents, which includes patient records & data management a prime candidate for digital transformation.

Computer networks & systems in the healthcare industry process massive amounts of patient information and health data from various internal and external sources, including third-party portals, insurance companies, and health record databases. Burdening useful resources with the paperwork associated with managing data can not only hamper productivity but is unnecessary.

For example, RPA can be used to directly process patient records throughout a patient’s care and save all data relevant to him or her. Hospital staff are then able to extract all pertinent information and enter it into digital systems within a matter of minutes rather than hours, thereby improving efficiency. Automation can also be used to generate reports and offer insights to track the health conditions of patients and develop a customized treatment plan for individual patients.

As a result, RPA can process patient records & data with greater accuracy, at a faster pace, with enhanced security, and more consistently.

2. Billing

Medical billing and settlement of health payments processing are not only highly-repetitive and time-consuming but also error-prone when inputting, processing, and evaluations are done manually.

RPA can be used to develop a robot that automates the invoicing and billing processes in line with services offered as follows:

First, an RPA bot recognizes payment details using optical character recognition (OCR), then it logs into the accounting system and inputs data into the relevant system’s fields. Once the invoice is created and registered into the system, the bot emails it to a patient. If there’s a delay in payment, the bot can send a customized reminder to the patient and create an attendance report with the current payment status for a finance manager.

By using RPA to streamline the settlement of health payments, processing invoices and managing bills are completed faster, with greater accuracy, and in a manner that reduces inaccuracies.

3. Claims Management

Claims management responsibilities of healthcare providers includes processes such as data input, processing, evaluation, and dealing with appeals. The entire process, when handled manually or using a generic software often proves to be highly inefficient and error-prone. The complexities of processing medical claims alone has created an industry now worth roughly $4.6 billion. More than 30-40% of health insurance claims are denied because of non-compliance of regulations.

RPA can be used to effectively manage claims processing, reimbursements, referrals, and settlements with insurance providers. Bots can automatically populate insurance claims fields, prepare the claim, and finally claim filing.

Based on present use cases, it takes 12 seconds for an RPA solution to check the status of a health insurance claim compared to 85 seconds for a human, meaning that one robot could do the work of 9 full time employees without error.

4. Scheduling and Managing appointments

Appointment scheduling and management is a repetitive and time-consuming task faced by healthcare support staff daily. Whenever a patient wants to book an appointment, personnel is required to communicate directly with that patient to determine physician availability, change appointment times or locations, call for reminders, inform patients of cancelations, and to reschedule bookings.

RPA can instead be used to interact with patients by phone or email directly and enable them to manage appointments without interaction from medical staff. RPA bots offer appointment slots to a patient according to their needs and schedule according to doctor availability. Once the patient has booked an appointment, the bot schedules it in the database and removes that appointment slot. Bots can manage large volume of appointments and send reminders faster and with better accuracy.

5. Post-Treatment Care

Typically, after patients are discharged from a hospital, they are expected to follow strict healthcare instructions, whether it be for medication, physical therapy, or meal plans. However, it’s often likely for the patient to forget or otherwise fail to comply with the post-discharge regimens properly.

Here, RPA can be used to manage post-discharge care and allow patients to confidently recover, after leaving a health facility. For example, RPA may be used to send reminders to patients about important actions such as taking medication, doing exercise, or following a meal plan. It can also assist patients when measuring vital signs, such as blood pressure, and then inform healthcare professionals of any problems or issues.

SVAM, International Inc. – Leader in RPA Technologies

By automating routine tasks in the healthcare industry, robots can be used as a digital workforce to fill in forms, manage reports, communicate with patients, and transfer patient records & data across various systems and interfaces.

SVAM, a global leader in RPA technologies, can help you discover the power of RPA automation by assessing your company’s readiness, developing a prototype, and finally deploying an RPA robot customized to your internal system.

Implementing RPA makes healthcare IT systems more efficient, reduces costs, minimizes human error, and in a manner that providers a higher quality patient experience overall.

how is rpa different from other enterprise automation tools

Robotic process automation and traditional automation lie on different sides of the bank. Both of these help achieve efficiency in delivering results within time. This kind of mechanism reduces human intervention and performs predefined activities according to the instructions. Both softwares are considered the biggest boost to the infrastructure and efficiency of programming functions. Not just this, RPA in HR is proving to be one of the most effective implications of automation.

By employing the right RPA tools, it becomes possible for the individual to automate the maximum activity in the management functions. But there is a huge amount of difference between the two concepts. The functioning of these two kinds of software can be differentiated based on the given information.

Differences Between The Two Kinds of Software

The various grounds of the meanings have been mentioned as follows:

Meaning and Function

Robotic process automation is a kind of software that helps to automate a high volume of repetitive tasks in a minimum amount of time. These kinds of tools allow the design of software robots to make them capable of automatically executing different types of tasks over time. All the RPA business processes can function effectively over time and when it comes to managing complete operations like bringing the RPA into the supply chain, the benefits are immense.

It is a kind of predefined activity that has finally executed different types of tasks and transactions for delivering effective results within time. Accordingly, the same result can be achieved without any human interaction. It is the utility that is obtained with the help of this process.

Traditional automation and enterprise automation are a kind of combination of different applications that help to achieve automatic integration at a database level. But the speed at which the given results can be obtained is very less, due to which it is a conventional method of automation only.

Requirements

Robotic process automation does not require any modification to the existing infrastructure and can be effectively adapted across any platform. But on the other hand, specific customization can be required in traditional and enterprise automation cases. RPA services companies do not require any adjustments, but enterprise automation requires adjustments to the existing structure to enhance the performance’s efficacy. For instance, if you wish to bring in robotic process automation in HR for your organization, you do not have to disturb any other process. But with the ERP, you have to alter the existing structure or the systems.

Functions

Robotic process automation helps to automate repetitive and different types of rule-based tasks. This kind of software performs the different actions performed by human beings to increase the efficiency of the programming. The entire programming is determined according to a flowchart without any change in the language codification.

But on the other hand, enterprise automation does not perform all the functions that human beings can perform without instructions. Even the pre-defined instructions cannot be followed properly. In such a situation, it is essential to note that interface automation may not be a good process in the long run and requires a lot of programming to achieve a given objective. On the other hand, implementing RPA in areas like robotic process automation in the supply chain can be done easily.

Kickstarting The Process of Automation

All the activities related to RPA for small businesses can be easily performed without knowing any programming. It is a quick implementation method that requires less time to get the desired results compared to the enterprise automated software, which usually takes a lot of time in this process. It usually takes a lot of months to get implemented because designing and integrating instructions are difficult tasks in this kind of software.

Alignment of Work

The robotic automation process helps to delegate the work to thousands of machines which makes it significantly different from ERP. It is essential to gain the desired programming functionality so that the same function can be performed in less time compared to the other situation of interface automation, which usually takes a lot of time to get scalability.

A kind of parallel execution is required in this process. It has got the capability of performing the best functions related to customized management. But in the long run, only robotic programming automation can be configured to meet the needs of the user immediately compared to interface automation, which usually has a lot of limitations related to the functioning of API and other complex technology employed.

Conclusion

The aforesaid is one of the most useful and effective ways with the help of which automation can be used in any organization. Understanding the differences between RPA and other enterprise automation tools helps to choose the required services from SVAM International.

This is helpful in the long run to get the required services over time. It brings the maximum amount of efficiency that deals with the timely completion of tasks and effective programming of functions. Get in touch with us today to know more about our RPA and ERP services.

The Covid-19 crisis made businesses realize how essential automation is for business and agility. The Covid situation challenged the inefficiencies of the traditional business models that rely on manual operations. The global robotic process automation (RPA) market is expected to grow more than 13 billion U.S dollars by 2030 (Source: Statista). Robotic process automation (RPA) is enabling businesses across the world to reduce costs, improve operational efficiency, providecustomer satisfaction, and more.Robotic process automation has witnessed exponential growth over the past two years. The latest market trends show that RPA will dominate in 2022 and continue to do so in the coming years. According to Gartner’s prediction, 90% of the prominent organizations globally will adopt RPA in some form by 2022 for scaling up their businesses. RPA will play a key role in improving the process quality, speed, productivity, etc., in companies.Here are a few Robotic Process Automation trends and predictions in 2022One of the main reasons for deploying robotic process automation technology is, it reduces time, effort, and cost to execute time-consuming and repetitive tasks. With robotic process automation (RPA), businesses can save time and generate higher ROI. Moreover, RPA can also safeguard businesses from future crises like the Covid-19 pandemic.Because of Robotic Process Automation, there is a massive digital transformation in HR, banking services, financial services, and many more businesses. RPA is one of the rapidly-growing technologies in the world. According to Grandview Research, the service sector accounted for the highest share of 61% and it is expected to grow at the highest CAGR from 2021 to 2028. Let’s look at the trends and predictions for RPA in 2022.
  • Adopting RPA centers of excellence (CoE) will be prevalent as they will standardize RPA by reducing maintenance, bot faults, etc.
  • With the advancing technologies, RPA bots can benefit from other developing technologies like artificial intelligence.
  • By 2022 RPA will incorporate artificial intelligence (AI) and machine learning techniques.
  • Automation acquisitions rise in 2021 will continue their pace in 2022 and beyond.
  • The RPA industry is booming faster and will grow tremendously in 2022. RPA bots and artificial intelligence solutions have grown past few years. And it is predicted to grow in 2022, where companies can drive higher benefits from automated planning and delivery.
As mentioned above, the trends show RPA will dominate in 2022. And we at SVAM will help you make the most of RPA and thrive through these challenging times. You can be part of changing the business world with the help of our RPA solutions. With the best RPA practices, we will help you build a sustainable business and take it to new heights.

Automation is only set to catalyse in 2023. The buzz around ChatGPT and the AI is an evidence that the only way ahead for your business is automating it. Along with the AI is also a powerful technology, RPA that is creating a hype amidst big and medium sized companies.

Robotic process automation is software (robots or bots) that performs various tasks to help automate the process and reduce expenses. The robotic process automation (RPA) market is growing exponentially worldwide.

Robotic process automation use cases are exploding in various industries and in businesses areas like using in RPA in the HR department, for calculating finances, creating innumerable new opportunities. The onset of 2023 brought the evolution of RPA trends. The time has come to reap the benefits of investing in digital transformations.

RPA is a result-driven technology entering the phase of maturity and delivering results. It is time to automate the tedious processes and spend time on more crucial things. Here, in the blog, we will uncover the latest trends in RPA that will dominate in 2023.

RPA Trends That Will Attract Your Attention in 2023

The key reasons businesses are adopting and implementing RPA (Robotic Process Automation) are its ability to transform the company, save time, labour, and money. It can speed up the processes, reduce errors and increase productivity. The impact of the pandemic has boosted the implementation of RPA.

Robotic Process Automation in Supply Chain

With the increased RPA capabilities integrating it with other technologies in supply chain will increase the overall performance and productivity. There are remarkable outcomes to look forward to with the integration of RPA in supply chain along with other tools and technologies.

RPA Will take Over Enterprise Resource Planning (ERP)

The ERP and traditional systems in businesses encounter the problem of catching up with the frequency of the digital transformation. Manual data entry into ERP is a tedious task. ERP will undergo a massive change, with RPA playing a crucial role. With RPA, employees can automate repetitive tasks and business processes. In some cases, they can record the processes through automatic code generation and create a software bot.

RPA Will Pave Way for More Innovation

The companies and businesses that initially adopt RPA will gain a competitive edge. The companies that create and design frameworks to execute the system will make the most of the automation programs. This approach of the organizations will pave the way for more innovations.

RPA and Artificial Intelligence to Empower Processes

When RPA and artificial intelligence come together, they empower process automation and impactful digital transformations. Organizations can reach extreme possibilities by combining the RPA with AI to deal with anything. Cognitive bots learn from the data and make decisions, thus becoming a vital part of your team.

Small and Medium Enterprises Adopting RPA

The impact of the Covid 19 pandemic made the SMEs realize the importance of automating processes. They have understood how crucial it is to adopt automation to take competitive advantage and bounce back from a sudden disaster. Now they are adopting RPA at a much faster rate than expected. They are on the way to working more efficiently by automating their processes.

RPA in Human Resources

Robotic Process Automation in HR departments of companies to automate repetitive, mundane tasks through the use of software bots. In the human resources department, RPA can be used to automate a variety of tasks such as data entry management, employee recruitment, administration benefits, employee onboarding and more.

Conclusion

The advancements made by the RPA industry are shining brighter. That is why it is expected that 2023 will prove to be a game-changer for RPA specially in the business and supply chains. Robotic process automation is adding new possibilities in the business world. Automation will be the core necessity of every organization in the coming years and a must-have technology.

SVAM International Inc. has helped clients automate their process with intelligent automation solutions that can help us bridge the gap between AI and business growth. Get the RPA solutions that promise productivity at par with the expectations.