Article 5 min read Oleksandr Andrieiev, CEO & Founder Robotic Process Automation in Healthcare: Best Ways To Use RPA Business • Engineering • Healthtech • Trends • Healthcare • Enterprise Software Development • The healthcare industry is facing significant challenges in managing the overwhelming amount of patient data and the errors that come with it. According to human factors studies, human error is the root cause of almost 80% of major accidents. In a clinical setting, the same risk shows up as mistakes in manual work with patient data. The problem is that clinics often lack resources to identify and correct errors in medical data. They often suffer from incorrect resource allocation resulting in low clinical efficiency and high operational costs. So, many of them opt for robotic process automation to get the job done error-free. If you face workflow inefficiencies because of errors in healthcare data and aim to prevent them with robotic process automation (RPA), read this article. You’ll find out how to implement robotic automation correctly to fix your clinical processes and increase your company’s return on investment. What Is RPA in Healthcare? Robotic process automation in healthcare uses software robots to handle tasks that are usually done by people. These tasks, such as setting up appointments, handling insurance claims, keeping track of patient records, and managing billing, can be simple but take a lot of time and effort. RPA is a good fit for rule based tasks that follow clear workflow rules and rely on structured data, so you can automate repetitive manual tasks without constant manual intervention. RPA tools act like humans by interacting with computers to do these jobs quicker and with fewer mistakes. This helps make the healthcare system run smoother and lets medical professionals spend more time with patients instead of filling out forms. Types of RPA in Healthcare Robotic process automation (RPA) comes in three types, depending on how much human involvement the bots need. Attended bots work alongside an employee and start on demand: a front-desk coordinator, for example, triggers a bot to pull insurance details into a registration form. Unattended bots run on their own on a schedule or trigger, such as overnight claim status checks across payer portals. Hybrid RPA combines both: an unattended bot prepares a batch of prior authorization requests, and staff reviews only the exceptions. All three types handle rule based tasks. The State of RPA and AI in the Healthcare Sector: Market Statistics To Consider Most recent industry data covers AI more broadly, and RPA is one tool in that group, so the figures below show the wider automation trend RPA is part of. Health systems are moving from pilots to scale. In Deloitte’s 2026 Global Health Care Outlook survey of 180 C-suite executives at large health systems in six countries, conducted in August and September 2025, more than 90% said improving productivity would be a priority. Yet only 2% had deployed AI across their entire enterprise, so most organizations are still automating one process at a time. The AI market is growing fast. Deloitte’s report cites a Fortune Business Insights forecast that the global AI in health care market will grow from $39 billion in 2025 to $504 billion by 2032. Deloitte’s respondents expect generative and agentic AI to make up 19% of technology budgets in the year ahead. In revenue cycle management, Fierce Healthcare reports on an HFMA Pulse survey of 519 hospital finance leaders, fielded in April 2025: 80% of health systems were exploring, piloting, or implementing generative AI, up from 58% in 2023. Returns are still being measured. In the same Deloitte survey, 51% of executives had either not measured returns on AI or said it was too soon, while 31% reported moderate financial returns. Automation also pays off at the industry level. The 2025 CAQH Index, reported by AJMC, finds more than $20 billion in savings still available in U.S. healthcare administration. Adoption of electronic prior authorization rose from 31% in the previous Index to 40%, and 81% of medical claim status inquiries are now automated. Key Benefits of RPA in Healthcare RPA is making a big deal in healthcare, helping clinics do their work better, keep patients safe, and reduce operational costs. These benefits highlight how PRA can be useful for your medical company and what you can achieve after implementing this technology. Better Efficiency Data entry, patient scheduling, and data registration are time-consuming tasks that RPA can easily automate. Bots can also book and reschedule patient appointments without staff involvement. As a result, you can expect faster clinical processes and a reduction in administrative workload for clinical and administrative teams, allowing them to focus on more critical processes. Improved Data Accuracy Handling medical data manually often results in errors that, in some cases, can be critical and costly. RPA can reduce the likelihood of mistakes by processing data accurately, keeping patient records safe, and doing billing tasks following industry regulations. Higher data accuracy also supports patient safety and risk management, because clinicians make decisions based on correct information. Cost Reduction When tasks are automated, your clinic is likely to experience a reduced need for manual labor. It means you can achieve substantial cost savings by cutting down operational costs and minimizing the likelihood of errors that could lead to financial losses due to claims, rejections, or legal fines. Enhanced Patient Outcomes and Patient Experience With administrative tasks automated, healthcare professionals have more time to focus on patient care. This can lead to better patient outcomes and higher satisfaction rates as the staff can provide more personalized attention. Scalability RPA technology can scale up or down based on your healthcare needs. As your clinic grows, RPA systems can handle increased loads without the need for additional staffing. Regulatory Compliance and Security RPA helps healthcare organizations maintain compliance with healthcare regulations. It can be programmed to follow exact regulatory processes, ensuring that all operations are compliant with laws like HIPAA. What’s more, RPA reduces human access to sensitive data, which strengthens data protection, privacy, and security. Consistent rule-following also supports risk management, keeps data accuracy high, and helps protect patient safety. Improved Data Management RPA facilitates data management by collecting and organizing data from various sources. This consolidated data can then be used for analytics, helping healthcare teams make informed decisions based on accurate data insights. RPA Use Cases in Healthcare: How Robotic Automation Improves Clinical Processes RPA has the potential to improve various aspects of healthcare delivery, and the main RPA use cases include data sharing, payment processes, vaccine management, and patient diagnostics. If your medical teams are overwhelmed with data and lose productivity, it might be the right time to automate your clinical processes. Electronic Records and Data Sharing Automating the entry of patient data into electronic health records (EHR) and electronic medical records (EMR) is a good robotic process automation example. Bots can transfer a patient’s medical history and other health data between systems, so medical records stay complete and consistent. Such automation helps ensure that medical data is accurately shared across different healthcare systems, including those built on FHIR standards. This reduces manual errors, speeds up data access for healthcare teams, and leads to better-coordinated care. Billing, Payments, and Claims Management RPA can automate the processing of claims and manage billing by extracting data from forms, entering it into billing systems, and verifying insurance coverage automatically. As a result, clinics get faster claims processing, reduced errors, and improved cash flow management. It also supports revenue cycle management by speeding up claim submission and payment posting. Self-Service Kiosk Check-In RPA can manage data entry for self-service kiosks, allowing patients to check in, update their information, and schedule appointments without staff assistance. This reduces wait times and administrative workload while improving the patient experience and satisfaction at check-in. Data Analytics and Diagnostics RPA gathers and preprocesses large datasets for analysis, helping physicians gain insights into patient outcomes and treatment effectiveness. This enhanced decision-making based on comprehensive data analytics, including business intelligence in healthcare, can lead to better patient outcomes and more personalized care. Optimized Data Management RPA can automate routine data tasks, such as data entry, migration, and updates across healthcare systems. As a result, your clinic gets more efficient data handling, reduced risk of data errors, and free time for healthcare professionals to focus on patient care. Vaccine Management RPA can streamline the management of vaccine inventories, track vaccination records, and schedule appointments. This ensures improved vaccine rollout efficiency, accurate tracking of vaccination rates, and better public health outcomes. Post-Treatment Care With the help of RPA, clinics can automate follow-up appointment scheduling, patient monitoring, and sending reminders for medication or check-ups. Combined with healthcare chatbots, these reminders reach patients in the channel they prefer. This results in consistent post-treatment care, enhanced patient compliance with treatment plans, and reduced readmission rates. Remote Patient Monitoring Monitoring itself is handled by connected devices and dedicated platforms, while RPA automates the routine work around them. Bots can collect readings from device apps and transfer them into the patient’s record, send an alert to the care team when a value goes outside the set range, and schedule follow-up calls or visits. As a result, clinicians spend less time on manual data transfer and can focus on patients who need attention first. If you plan to build the monitoring side as well, see our guide to creating a remote patient monitoring app. By automating these key medical areas, RPA helps boost operational efficiency and enhance the quality and speed of care across your clinic. Top Challenges of RPA for Healthcare Providers and Solutions To Handle Them Using robotic automation in healthcare can be truly beneficial, but it also comes with a set of challenges that you need to address carefully. By understanding these challenges and preparing solutions in advance, you can make the most out of your RPA tech, improving your services and making things better for patients and staff. Integration with Existing Systems Sometimes, RPA software has a hard time working with existing medical systems, especially legacy systems that lack modern interfaces. Choose RPA tools that are known for flexibility and reliable integration with different types of technology. If your stack is aging, our article on legacy healthcare systems explains how to modernize it. Also, engage experts in medical tech to help make everything work smoothly. Managing Privacy and Security Protecting patient information is of utmost importance in healthcare, and using robots to handle data could make it risky. Consider using RPA systems that have strong security measures. Make sure they meet all the legal rules, such as HIPAA and GDPR, to keep patient data safe and prevent costly breaches. To see how the two concepts differ, check out our comparison of IT security and IT compliance. High Initial Costs Starting with RPA can be expensive because you need to buy the software, set it up, and train your teams to use it. The Jelvix team recommends that you plan your budget carefully. It’s a good idea to start small with RPA in just one part of your operations to see how it goes before spending more money. Staff Resistance Very often, employees don’t appreciate changes in the set clinical process, especially those including new tech. They might not like the new robotic tools or might be scared of losing their jobs to robots. It’s important to educate your teams about how RPA makes their jobs easier and faster. Provide comprehensive training so they feel comfortable using the new technology. Ongoing Maintenance and Updates Like any other software, RPA tools require updates and maintenance, which can take a lot of time and financial resources. Work with RPA vendors who offer strong support and regular updates. This way, you can keep the software running smoothly without too much hassle. RPA for Healthcare: Real-World Case Studies As you already know, companies around the globe implement RPA to make their processes more efficient and reduce costs. Looking through real-world success stories can help you evaluate what tasks you need to automate and what outcomes you can expect after implementing RPA solutions. Saving Time for the Staff Helse Vest IKT, the IT provider for the hospitals of Western Norway, runs around 100 RPA processes in production. In a November 2025 project report published by Helse Bergen, one robot that creates patient contacts for the hospital’s gastro school saves an estimated 659 hours a year, equal to 88 working days. Another robot at Haukeland University Hospital does in two minutes what takes a person ten. Reducing Manual Work King’s Facility Management, a subsidiary of King’s College Hospital NHS Foundation Trust, introduced RPA in 2019. According to KFM’s head of communications in Times Higher Education, the bots take over manual work that used to consume about 10 days of staff time per month, with estimated savings of 70 days per month. The resource reports more than £500,000 in cost avoidance and over 5,000 data errors avoided, a 10% reduction. Monitoring EMR Performance A peer-reviewed study in JMIR Medical Informatics (2025) shows a less common use. Seoul National University Bundang Hospital ran RPA bots four times a day for three years, simulating user actions in its EMR to track system response times. The bots flagged more than 700 events, including a rise in outpatient list loading from 17.8 to 25 seconds. The authors note that RPA is not a universal solution and that bots need maintenance when interface elements change. Navigate the complex process of choosing a health tech partner with Jelvix’s comprehensive guide. Find essential criteria and expert insights for successful collaborations in healthcare. ? Navigate the complex process of choosing a health tech partner with Jelvix's comprehensive guide. Find essential criteria and expert insights for successful collaborations in healthcare. 8 Steps To Implement RPA in Your Clinical Processes Seamlessly Implementing RPA in your healthcare company can seem daunting, but following a step-by-step approach can make the process smoother and more effective. By following the steps listed below, you can successfully implement RPA and expect better efficiency in your clinical operations. 1. Identify the Tasks for Automation Begin by identifying tasks that are repetitive and rule-based. These often include data entry, appointment scheduling, patient billing, and updating patient records. To ensure you choose the right tasks for automation, consider using techniques like activity diagrams and value stream mapping. These tools help visualize the workflow and identify areas where RPA can have the most impact. RPA works best when you automate repetitive manual tasks that follow clear workflow rules and use structured data, so check each candidate against these criteria. 2.Choose the Right RPA Tool Select an RPA software that meets the specific needs of your healthcare operations. Widely used platforms include UiPath, Automation Anywhere, SS&C Blue Prism, and Microsoft Power Automate. Compare them by three criteria: compatibility with your EHR, electronic medical records (EMR), and CRM systems; security, including access controls, audit logs, and HIPAA and GDPR compliance; and ease of use, since low-code interfaces let your team adjust bots without developers. Healthcare providers should pilot two or three tools on one process before committing to a full rollout. 3. Get Buy-In From Stakeholders Explain the potential benefits of RPA to all stakeholders, including IT staff, healthcare teams, and administrative personnel. Support from these user groups is important for tackling resistance and setting up a cooperative atmosphere. Highlight the benefits, such as reduced workload and improved accuracy, to gain their support. 4. Plan and Design the RPA Implementation Communicate with your IT department and the chosen RPA vendor to plan how the automation will work. This step involves designing the workflow and defining how RPA bots will interact with your current systems. 5. Develop and Test Your RPA Tech Proceed to develop the RPA bots based on your designs. Once developed, test them in a controlled setting to ensure they perform accurately and efficiently. Testing helps identify issues before going live and reduces the risk of errors. 6. Train Your Staff Teach your team how to work with the new RPA system. They should understand how to monitor and manage the bots and what to do in case of errors or unexpected issues. Adequate training is vital for smooth operation and acceptance of new technology. 7. Launch and Monitor Launch your PRA solution in real-world settings. Make sure to continuously monitor how well it performs and whether it completes the tasks as expected. You need to do this because monitoring helps evaluate the impact of automation on your clinical process and make improvements where needed. 8. Improve Continuously RPA is complex software that requires ongoing attention. You need to assess its performance regularly to make timely updates and identify where you can scale up the solution to perform more tasks. This way, you can make the most out of RPA in your healthcare operations. Factors that Impact How Quickly an RPA Solution Can Pay Off Payback is hard to predict. In Deloitte’s 2026 survey, 51% of health system executives had not yet measured returns on AI or said it was too soon, while 31% reported moderate financial returns. In healthcare, payback varies depending on various factors, such as the scale of the deployment, the complexity of the automated processes, and the effectiveness of your implementation strategy. Nature of Automated Tasks If RPA is applied to high-volume and repetitive tasks, the payback can be quicker. Automating complex processes that involve multiple systems usually takes longer to get returns but can provide significant savings and efficiency gains later. Implementation Efficiency A well-planned and smoothly made implementation can lead to quicker ROI. This includes proper selection of processes for automation, quality of the RPA software, and adequacy of training provided to staff. Extent of Cost Savings RPA reduces the need for manual labor in administrative tasks. The direct cost savings from reduced labor expenses often manifest quickly and continue to accrue, contributing to a faster ROI. Accuracy and Compliance Gains By reducing human errors, RPA decreases the costs associated with corrections and non-compliance with regulations. This indirect saving can be significant over time, especially in reducing risks of fines and rework. Productivity Enhancements RPA allows healthcare staff to focus on patient care and other high-value tasks, potentially leading to better health outcomes and higher patient satisfaction. These benefits can lead to long-term returns, although they’re pretty hard to quantify. Note that the actual timeframe can vary based on the specific circumstances and goals of your medical company. That’s why conducting a cost-benefit analysis to understand the potential ROI before implementing RPA can be a good idea for you. How Jelvix Can Help Implement RPA into Your Medical Settings As the volume of healthcare data grows, medical companies will eventually face the need to automate at least some of their processes to preserve clinical efficiency and save costs. Yet, implementing solutions like RPA is a complex process that requires deep tech expertise. At Jelvix, we help medical enterprises develop and implement RPA together with AI and machine learning solutions to automate their daily operations. Our expertise in healthcare software development helps us connect bots with the systems clinics already use. If you need help evaluating where automation will give you the best outcomes, reach out to our experts. They will help you assess your company’s current state and offer the best solution based on your operational needs and business goals.
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