The global RPA in healthcare market size is expected to reach $33.93 billion by 2032, from just $4.29 billion in 2024, at a CAGR of 29.5% during the forecast period. That’s huge growth, and this boost is attributed to the advantages robotic process automation brings to healthcare ecosystems and patients.

RPA automates repetitive, rule-based tasks, like patient scheduling, registration, data entry, insurance verification, billing, invoicing, and more, freeing up staff to focus on high-value work. It brings various benefits to healthcare, from claim processing to increased efficiency, enhanced accuracy, cost reduction, and more.

This blog explains everything you need to know about the role of robotic process automation in healthcare, including its use cases, benefits, real-life examples, challenges & solutions, and the future. It’ll help you understand everything beforehand and build the right RPA solutions for your healthcare institution.

What Is Robotic Process Automation (RPA)?

RPA, or Robotic Process Automation, uses software “bots” to mimic human actions and automate repetitive, rule-based digital tasks, for example, data entry, form filling, and system integration. It frees employees for more strategic work.

These bots interact with applications just like a human worker, handling high-volume tasks with speed and accuracy irrespective of industries, improving efficiency and reducing operational costs.

What is the Role of Robotic Process Automation in Healthcare?

Robotic Process Automation (RPA) in healthcare automates repetitive administrative tasks like data entry, scheduling, and billing, which frees up staff to focus on patient care. It also improves data accuracy, speeds up claims, enhances monitoring with EHR updates, optimizes supply chains, and enables better analytics for improved outcomes and reduced costs.

Ultimately, RPA digitalizes and automates the busywork, so clinicians and admins can focus on complex decision-making, leading to greater efficiency, fewer errors, and a better patient experience in healthcare settings.

RPA Market Trends and Adoption in the Healthcare Industry 2025-34

The global robotic process automation in the healthcare market is anticipated to reach $22.56 billion by 2034, from just $2.80 billion in 2025, expanding at a CAGR of 26.10% between 2025 and 2034.

• North America dominated robotic process automation in the healthcare market in 2024.
• In 2026, the market size will reach $3.53 billion.
• The growth is expected from $17.89 to $22.56 between 2033-34.

Why Healthcare Needs Robotic Process Automation

Healthcare is a highly complex industry, overloaded with various tasks; however, there are some tasks, like data entry, form processing, claims handling, and more, that can be automated through RPA.

Robotic process automation helps healthcare institutions automate these tasks. Automating these tasks with RPA reduces administrative burden by automating repetitive, rule-based processes, so healthcare professionals can focus on patient care.

It ensures efficiency, accuracy, and compliance, circumventing high administrative workloads, manual errors, and delays, resulting in 24/7 availability, reduced costs, and cost savings.

• High Administrative Workload: Healthcare professionals spend a significant portion of their time on administrative tasks rather than patient care. From patient registration to billing, repetitive processes consume valuable resources. RPA helps reduce the workload. 
• Manual Errors and Delays: Even a small clerical error in patient records, claims processing, or medication orders can cause serious consequences. Human errors are inevitable under heavy workloads, and RPA can reduce these risks.
• Rising Operational Costs: Manual processes require staff, training, and overtime, driving up operational expenses. With RPA, healthcare organizations reduce the need for repetitive human intervention, leading to cost savings.
• Need for Better Patient Experience: Patients expect faster registration, quicker claims processing, and timely communication. RPA ensures these processes are streamlined, improving overall patient satisfaction.

RPA Use Cases in Healthcare

The use cases of RPA in healthcare are task automation, such as patient scheduling, insurance verification, and claims processing, to free up staff from repetitive work. It results in reducing errors and cutting costs in areas from revenue cycle management to EHR data entry, ultimately improving patient experience and operational efficiency.

The following are the RPA use cases in healthcare where robotic process automation is making a tangible, high-impact difference in healthcare operations:

Patient Registration and Data Entry

RPA in the healthcare industry automates the collection, validation, and entry of patient information from forms, portals, and documents into healthcare systems. This automated patient registration and data entry significantly minimizes the need for manual data entry, reduces errors, shortens registration time, and ensures patient records are accurate from the very first interaction.

Appointment Scheduling

RPA bots in healthcare settings manage appointment bookings by checking provider availability, coordinating across departments, and updating schedules in real time. By doing so, the system reduces double bookings, missed appointments, and manual interventions while ensuring patients receive timely confirmations and reminders.

Insurance Eligibility & Claims Processing

Insurance eligibility checking and claim processing are significant use cases of robotic process automation in healthcare. It verifies insurance coverage, extracts policy details, submits claims, and tracks approvals automatically.

By eliminating repetitive manual checks, RPA enables healthcare organizations to accelerate claims processing, reduce denials, and improve reimbursement timelines, strengthening overall revenue cycle management.

Patient Onboarding & Discharge Processing

RPA streamlines patient onboarding in healthcare organizations by automating consent forms, documentation, and system updates.

What’s more, during discharge, bots generate instructions, update billing records, and notify relevant departments, ensuring a smooth transition for patients while reducing administrative workload for staff.

Billing and Invoicing

Robotic process automation in healthcare automates invoice generation, payment processing, and follow-up reminders for outstanding balances. Through this, the system improves billing accuracy, reduces delays, and ensures faster collections, enabling billing teams to focus more on resolving complex payment issues.

Electronic Health Record (EHR) Updates

RPA bots in healthcare update patient records across multiple systems by syncing lab results, visit notes, and treatment details. The system ensures data consistency, reduces duplicate entries, and supports clinicians with timely, accurate information for better decision-making, boosting patient trust.

Reporting and Compliance

RPA software automates the generation of operational, financial, and regulatory reports by collecting data from multiple systems, like Laboratory Information Systems (LIS), Electronic Health Records (EHR/EMR), and Radiology Information Systems (RIS). It creates detailed audit trails, assisting healthcare organizations in maintaining compliance while saving hours of manual reporting effort.

Patient Communication (Reminders, Follow-ups)

Improved patient communication is one of the significant use cases of robotic process automation in healthcare. It sends automated appointment reminders, medication alerts, vaccination notifications, and follow-up messages, thereby improving patient engagement, reducing no-shows, and supporting better adherence to care plans without adding extra workload for administrative teams.

11 Key Benefits of Robotic Process Automation in Healthcare

RPA for healthcare delivers value by automating repetitive, rule-based administrative tasks that consume time and invaluable resources. Here are the top benefits of robotic process automation for healthcare, including faster claim processing, increased efficiency, enhanced accuracy, cost reduction, streamlined workflows, and more.

1. Faster Claims Processing

Faster claim processing is one of the crucial benefits of RPA in healthcare. It accelerates claims processing by automatically validating patient details, verifying insurance eligibility, submitting claims, and tracking claim statuses across payer portals. This eliminates manual handoffs, reduces delays, and enables organizations to receive reimbursements more quickly.

2. Increased Efficiency

By automating day-to-day routine tasks such as data entry, scheduling, and report generation, RPA reduces the time staff spend on repetitive work, enabling healthcare teams to handle higher workloads without increasing headcount. 

3. Enhanced Accuracy

RPA in healthcare improves accuracy in documentation, billing, and reporting, especially in high-volume processes where small mistakes can have major consequences. It does so by following predefined rules consistently, eliminating common human errors caused by fatigue or multitasking. 

4. Cost Reduction

The application of RPA in healthcare lowers operational costs by reducing reliance on manual labor for repetitive administrative tasks. It enables healthcare organizations to save on overtime, rework caused by errors, and staffing costs while maintaining or improving service levels for better outcomes.

5. Streamlined Workflows

In healthcare organizations, RPA connects steps across multiple systems, allowing processes to run end-to-end without interruptions. This causes tasks to move faster between departments, reducing bottlenecks and ensuring smoother coordination among clinical, administrative, and financial teams.

6. Improved Patient Experience

Robotic process automation in healthcare ensures automated registration, appointment reminders, billing updates, and follow-ups, reducing waiting times and communication gaps. This, in turn, gives a boost to faster service, clearer information, and fewer administrative frustrations for patients during their healthcare journey, which improves the overall patient experience.

7. Better Staff Productivity

RPA removes repetitive administrative tasks from daily workloads in healthcare settings. This, in turn, allows staff to focus on higher-value activities such as patient interaction, case resolution, and decision-making that require human judgment and empathy.

8. Data Accuracy

Data accuracy is a priority in every healthcare setting, and RPA ensures consistent data entry and synchronization across systems such as EHRs, billing platforms, and scheduling tools. The system keeps patient records up to date and minimizes inconsistencies that often arise from manual updates.

9. Considerable Patient Outcomes

With less time spent on paperwork and administrative coordination, healthcare professionals can focus more on patient care, monitoring, and follow-ups with RPA. It leads to better health care for patients and improved health outcomes.

10. Burnout Prevention

RPA in healthcare ensures burnout prevention by automating repetitive and time-consuming tasks. It reduces workload stress on administrative and clinical staff, contributing to better job satisfaction, lower burnout rates, and improved workforce retention.

11. Revenue Cycle Management 

RPA strengthens revenue cycle management by automating eligibility checks, claims submission, payment posting, and denial follow-ups. This fosters faster cash flow, fewer claim denials, and improved financial visibility.

Real-Life Examples of RPA in Healthcare

The real-life examples of RPA in healthcare include the Asklepios Kliniken, using UiPath, and IQVIA, using Automation Anywhere. Both UiPath and Automation Anywhere are excellent examples of robotic process automation systems.

Here’s how they benefited these healthcare institutions to streamline their workflow:

UiPath: Asklepios Kliniken

Established in 1985, the Asklepios Kliniken is one of Germany’s largest private hospital groups, 

headquartered in Hamburg. Implementing robotic process automation through UiPath, Asklepios has processed 1,700,000 transactions with a remarkable 97.5% success rate, 1,600,000 successful transactions.

Order confirmation automation, customer setup automation, discount alerts, and more are the key automation areas enabled by RPA for Asklepios.

Automation Anywhere: IQVIA

To accelerate clinical innovation, IQVIA automated manual data processing using Automation Anywhere. The automated complex data analysis and document processing allow the company to accelerate clinical trials and cut data entry and QA costs by up to 65%.

With Automation Anywhere, IQVIA transformed most data-intensive operations, achieving an 80% gain in patient analytics efficiency and lessening data entry costs by up to 65%. The automation hasn’t just optimized workflows, but it has also allowed teams to focus on the high-value work, skyrocketing clinical innovation.

RPA vs Traditional Automation in Healthcare

Be it flexibility, implementation speed, complexity handling, or adaptability, there are differences between traditional automation and robotic process automation in healthcare. The table below showcases how these two automations differ when compared on different parameters:

Feature	Robotic Process Automation	Traditional Automation
Flexibility	Works across multiple apps, even without an API	Usually tied to a single system
Implementation Speed	Rapid deployment with minimal coding	Time-consuming integration
Complexity Handling	Handles structured tasks efficiently	Limited to simple, repetitive tasks
Adaptability	Can adjust workflows dynamically	Rigid once programmed

Where RPA Fits Best & Where You Should Avoid It in Healthcare

Have a look at the table below for a clear take on where to implement RPA in healthcare and where to avoid it:

Where RPA Fits Best in Healthcare	When You Should Avoid
High-volume, repetitive tasks	Highly unstructured or creative tasks
Rule-based decision-making	Processes that require human judgment or empathy
Data-intensive administrative workflows	Tasks with low ROI or minimal repetition

How to Implement RPA in Healthcare: Step-by-Step Process

Implementing RPA in healthcare involves identifying repetitive tasks (claims processing, scheduling, and data entry), engaging stakeholders, choosing the right software development partner, securing data, starting small, training staff, and continuously monitoring the system.

Here’s the step-by-step process you need to implement RPA in healthcare:

1. Identify & Analyze Processes

First off, identify the rule-based, high-volume, repetitive tasks in areas such as patient registration, billing, claims processing, inventory & appointment management, and analyze the process to automate where it engages you the most.

2. Engage Stakeholders

Involve all the stakeholders, including doctors, nurses, compliance officers, and admin staff, to ensure the RPA solution developed and implemented meets the real needs of your healthcare institution.

3. Define Goals & Metrics

Define your goals and set clear objectives, for example, reduce claim errors by X%, speed up patient onboarding, and so on, to help you measure success down the line.

4. Choose the Right Partner & Tools

Interview many and hire AI developers who have a knack for RPA implementation in healthcare. Hiring dexterous RPA solution providers, experienced in healthcare’s unique challenges and compliance, multiplies the chances of your success.

5. Start Small (Pilot Project)

Begin with a low-risk, high-impact process, for example, automating discharge instructions, to learn and build confidence to move forward accordingly.

6. Develop & Deploy

Work with your RPA implementation partner to build, test, and deploy the bots for more suitable and expected outcomes.

7. Ensure Security & Compliance

Once developed and deployed, implement strong encryption, access controls, and audit trails to protect sensitive patient data (PHI).

8. Train & Manage Change

Consider training your staff on new workflows and how to work alongside bots so that there’s no disturbance in functionality down the line.

9. Monitor & Optimize

Continuously keep track of the performance, fix issues (exception handling), and look for new automation opportunities.

10. Scale Gradually

Avoid automating everything all of a sudden. Expand from simple tasks to more complex workflows as you gain experience.

Common Challenges of Using RPA in Healthcare and Solutions to Overcome

RPA in healthcare faces challenges like data security, legacy system integration, staff resistance, initial setup and training, change management, and post-deployment issues. Here are the challenges and possible solutions you should know:

Data Security & Privacy Concerns

Healthcare organizations handle highly sensitive patient data, including medical histories, insurance details, and personal identifiers. Automating processes across multiple systems increases exposure to risks if data access, storage, or transmission is not properly controlled.

Solution: Implement strong encryption, role-based access controls, and secure credential vaults, and ensure RPA workflows comply with HIPAA, GDPR, and internal security policies.

Integration with Legacy Systems

Many healthcare providers rely on obsolete legacy systems that lack APIs or modern integration capabilities. Implementing RPA for these systems is likely to be complex, brittle, and prone to failure when interfaces or workflows change.

Solution: Use RPA tools designed for surface-level integration and middleware solutions that allow bots to interact reliably with multiple legacy and modern systems.

Initial Setup and Training

Deploying RPA in healthcare requires upfront effort to identify suitable processes, define workflows, and train teams. Without proper planning, organizations may automate inefficient processes or struggle to scale automation effectively.

Solution: Start with pilot projects, document processes thoroughly, and conduct structured training programs before expanding RPA across departments.

Change Management

Staff may resist RPA adoption due to fears of job displacement or a lack of understanding. Poor communication can lead to low adoption, reduced collaboration, and missed opportunities for automation-driven improvements.

Solution: Position RPA as a support tool, involve employees early, and highlight how automation reduces workload rather than replacing human roles.

Post-Deployment Issues

RPA bots depend on stable systems and workflows. Changes in applications, updates, or process variations can cause bots to fail, leading to interruptions if monitoring and maintenance are not in place.

Solution: Establish continuous bot monitoring, regular audits, and maintenance schedules to quickly detect issues and ensure consistent performance.

Future of Robotic Process Automation in Healthcare

The future of RPA in healthcare will be RPA integration with AI and machine learning, predictive analytics, intelligent document processing, and more. The pointers below showcase what the future of robotic process automation will look like:

• AI and Machine Learning Integration: RPA combined with AI and machine learning will enable bots to interpret data, learn patterns, and support decision-making, benefiting clinicians and administrators through faster insights and reduced manual analysis.
• Hyperautomation: By integrating RPA with process mining, AI, and workflow orchestration tools, healthcare organizations will be able to automate end-to-end processes, benefiting operations teams through improved efficiency and reduced process fragmentation.
• Intelligent Document Processing (IDP): Robotic process automation in healthcare, paired with OCR, NLP, and machine learning, will extract data from unstructured documents, helping administrative and billing teams process forms faster while reducing errors and manual data entry.
• Predictive Analytics: When integrated with analytics and machine learning models, RPA in healthcare will support predictive workflows, enabling healthcare planners to anticipate patient volumes, staffing needs, and resource utilization more effectively.
• Focus on Security & Compliance: Enhanced RPA platforms will integrate security controls, audit logs, and compliance monitoring tools, helping healthcare organizations protect patient data and meet regulatory requirements with greater consistency.
• Interoperability: RPA will act as a digital bridge across EHRs, billing systems, and payer platforms, enabling smoother data flow and collaboration between healthcare providers, clinics, and insurers without replacing existing systems.

Why MindInventory Is Your Trusted Partner for RPA Solutions

RPA is no longer optional but a necessity in modern healthcare settings. By automating repetitive administrative tasks, healthcare organizations can reduce costs, enhance accuracy, improve patient experiences, and empower staff to focus on what matters most: quality patient care.

MindInventory is a client-centric service provider offering comprehensive robotic process automation services for healthcare organizations. Be it end-to-end RPA implementation, bot implementation, or just RPA consulting services, we help healthcare service providers with complete RPA solutions.

Working for years, we leverage our expertise in AI/ML development services, ensuring a smooth deployment of the solution and maximum ROI, paving the way for a smarter, more efficient healthcare ecosystem. We help you unlock the potential of reducing costs by 30% to 50% with custom RPA solutions for healthcare.

FAQs on RPA in Healthcare