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Agentic automation & RPA in healthcare:
use cases, benefits & challenges

January 29, 2026

Agentic automation & RPA in healthcare: market statistics

58%

of healthcare organizations use RPA and AI-powered automation

KPMG

$22.56 bn

the anticipated RPA in healthcare market size by 2034

Precedence Research

44.83%

the forecasted CAGR of the healthcare agentic AI market from 2025–2030

Mordor Intelligence

Scheme title: Agentic AI in healthcare market segmentation by end-users
Data source: Grand View Research

10 agentic automation & RPA use cases in healthcare

Modern automation solutions can be applied to a diverse set of tasks in healthcare, assisting with patient data management, billing, staff administration, and regulatory compliance.

1

Appointment scheduling

Agents and bots help healthcare providers manage the visitor flow and optimize clinical time slot utilization, executing the following repetitive and high-volume tasks related to patient scheduling:

  • Processing patient inquiries received via web portals, messengers, or email, extracting key information, such as patient name, insurance ID, and symptoms, and requesting missing information from patients or medical staff
  • Linking data provided by the patient to the information from electronic health records and a healthcare CRM system to check prior visit and interaction history
  • Synchronizing doctors’ calendars with the scheduling system to prevent double bookings
  • Searching for available appointment dates based on request urgency, doctor availability, clinic location, and patient convenience, if the existing booking system’s functionality is limited
  • Setting, cancelling, or rescheduling appointments upon patient or doctor request
  • Notifying both the patient and the doctor about appointment changes and sending appointment reminders via email or messengers
2

Patient onboarding

Streamlining and accelerating the patient onboarding process with RPA or agentic automation is one of the ways healthcare institutions can reduce stress for patient registration specialists and increase patient satisfaction. Robots and agents facilitate a smooth patient experience during onboarding, automating tasks such as:

  • Collecting patient demographic, insurance, and medical data from digital forms, emails, or scanned documents and entering it into EHR software
  • Verifying a patient’s insurance coverage, benefits, and eligibility
  • Sending welcome emails to patients with appointment confirmation details, as well as surveys to collect patient feedback
3

Prior authorization

In some cases, healthcare providers are required to undergo a prior authorization process so that a patient’s insurance provider covers certain prescribed medications or medical procedures, which can be time-consuming, especially when done on a large scale. Agentic and robotic process automation solutions allow healthcare organizations to minimize delays in treatment, while staying compliant with insurance policies, by orchestrating the following tasks and workflows:

  • Extracting patient demographic data and medical history, CPT codes, and a health plan’s policy rules from the EHR, billing, and policy management systems to help clinicians determine whether prior authorization is required
  • Verifying data completeness and accuracy and inserting it into prior authorization request (PA) forms
  • Submitting PA requests with supporting documents to insurance providers
  • Tracking PA request approval status on a payer portal and sending follow-up messages to the insurance company upon request
  • Notifying clinical staff about request approval, redirection, or denial
4

Post-discharge management

RPA robots and AI-powered agents perform the following repetitive post-discharge activities, helping clinicians provide quality and timely care to patients leaving the hospital to prevent readmissions:

  • Extracting data from discharge summaries and follow-up appointment notes and entering it into the EHR system
  • Distributing healthcare providers’ instructions to relevant patients via email
5

Virtual care & remote patient monitoring

By implementing RPA and AI-powered agents for telehealth and remote patient health monitoring, healthcare professionals can ensure timely interventions, enhancing patient care and reducing hospital visits. Agentic automation and RPA solutions can be used to execute the following tasks:

  • Processing data on patients’ vitals, such as heartbeat, blood pressure, temperature, and blood glucose level, from IoMT devices and updating medical records
  • Sending notifications to healthcare staff in case abnormal data readings are detected
  • Scheduling telehealth check-ups or follow-up consultations
  • Sending appointment reminders to doctors and patients
  • Aggregating and preparing the necessary patient information for clinicians during telehealth visits
  • Summarizing clinical notes and updating healthcare systems with this information
  • Distributing consultation summaries, treatment plans, and instructions to patients via email
6

Self-service patient check-in

Integrated into self-service kiosks to handle in-hospital check-in and data exchange with an EHR system and patient registration software, RPA bots and agents driven by artificial intelligence can not only reduce patient wait time but also ensure patient data accuracy and consistency, performing tasks such as:

  • Processing information provided by patients and transmitting it to patient registration software
  • Asking for additional information required by the hospital, such as consent to treatment, recent travel history, and current medications
  • Comparing the extracted patient data with EHR details and data from a scheduling system to identify the patient and update the EHR records with the newly submitted information
  • Matching patients with their corresponding treatment histories to provide a relevant doctor with the needed information during the visit
  • Performing basic patient triage, categorizing patients by priority
7

Medical billing, payment & claims management

Healthcare providers handle numerous bills and payments on a daily basis, including those for doctor visits, tests, medicines, and hospital stays. RPA bots and agentic automation solutions can be used to streamline the settlement of health payments, expediting claims processing, minimizing billing errors and disputes, and ensuring transparency across financial operations. Here is where agentic automation and RPA can find their application in revenue cycle management:

  • Aggregating various data, such as disease codes, prescriptions, and clinical and payment information, from medical records and inputting it into billing software
  • Processing and classifying incoming billing documents and routing them to the medical billing department
  • Flagging missing, conflicting, or non-compliant patient, treatment, and payment information derived from EHR and billing systems for review to minimize claim denials
  • Generating and forwarding invoices and bills to patients or insurance providers
  • Tracking payment statuses and sending reminders to patients and insurance providers if there is a delay or issue in payment
  • Routing claims rejected by payors to billing teams for review and adjustment
8

Asset & supply chain management

Hospitals can employ agentic automation and RPA software to help staff find medical devices necessary for their procedures, check inventory levels of medical supplies, and monitor equipment conditions. Additionally, such process automation solutions help track the shipment of medical products and locate organs intended for transplantation, preventing disruptions and delays in treatment delivery and facilitating the following activities:

  • Processing employee asset requests submitted via a corporate web portal and extracting data from healthcare asset management software to check the availability of the asset
  • Processing data from RFID systems, GPS trackers, and IoT sensors in real time to identify asset location and availability
  • Checking the availability of operating rooms or specialized equipment across hospital systems and sending booking confirmations to surgeons, nurses, and critical care doctors
  • Tracking and updating inventory levels of medical supplies in hospital inventory management or healthcare ERP systems, detecting when stock levels are reaching predefined thresholds, checking expiry dates of medications, and notifying procurement teams that they should reorder medical supplies
  • Monitoring delivery times of medical supplies and logging deliveries upon arrival
9

Regulatory compliance monitoring & reporting

Healthcare organizations can also implement RPA and agentic automation to carry out repetitive tasks to support regulatory compliance with laws and standards, such as HIPAA and GDPR, ensure the company’s audit readiness, and avoid legal risks and penalties caused by non-compliance:

  • Extracting electronic protected health information (ePHI) and patient consent data from documents and digital forms and delivering them to a secure data repository to ensure safe and compliant data handling
  • Tracking consent expiration dates and sending reminders to a compliance team to initiate renewals
  • Scanning patient records to detect those containing duplicate or incomplete data and sending them to risk and compliance teams for review
  • Processing legal documents and databases to monitor regulations and law changes applicable to the healthcare industry in the given jurisdiction
  • Drafting compliance reports using ready-made templates and necessary medical and billing data, requesting missing information from medical staff, and sending the reports to regulatory bodies
  • Generating audit logs of the tasks performed to facilitate legal reporting
10

Due to the continuous personnel shortage in the healthcare sector, efficient management of the existing health workforce has become critical to organizations’ performance. Luckily, healthcare organizations can enhance human resource management by adopting agentic and robotic process automation for the following HR tasks:

  • Posting job openings across job boards, social media, and the organization’s website
  • Screening resumes and extracting relevant candidate information, such as qualifications, experience, and education
  • Scheduling interviews, performance review meetings, and exit interviews
  • Preparing and delivering the organization’s policies, onboarding documentation, and welcome emails to new hires
  • Checking employee data for completeness and relevance, requesting missing information, and updating HRIS records
  • Consolidating data on employee working hours, tax deductions, and bonuses from all staff-related systems, detecting missing entries and inconsistencies in timesheets, and sending comprehensive information to payroll calculation solutions
  • Generating and distributing payslips to employees
  • Verifying employee benefits enrollment and compensation eligibility, sending information about company benefits to employees through emails, and updating HRIS software with data on benefits paid

RPA & agentic automation demo for healthcare data extraction

We’ve prepared a video to demonstrate how an RPA bot integrated with an OpenAI model automates data extraction from active pharmaceutical ingredients (API) specifications, accelerating document processing, reducing medication errors, and enhancing patient safety.

Assess the viability of process automation for your healthcare organization

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Real-life examples of RPA & agentic automation in healthcare

Gold Coast Health

Aiming to deliver world-class health care, Gold Coast Health, a leading medical service provider in Queensland, Australia, implemented a UiPath Platform to automate clinical and administrative processes across more than 20 facilities. Thanks to this solution, Gold Coast Health has successfully streamlined over 20 processes, including patient communication, clinical photography management, and referral management.

The solution classifies outpatient appointments, captures medical data, such as clinician identity, time of image capture, and photo details, from medical records, as well as enters referral information into multiple clinical and administrative systems, minimizing appointment calls. As a result, the organization managed to redirect over 40,000 hours annually from repetitive tasks to patient care, enhancing patient and employee experience.

By automating repetitive administrative tasks, such as transferring data between referrals, wait lists and appointments, our health service can increase operational efficiency and better allocate resources, ultimately improving patient outcomes.

author's photo

Kirsten Hinze

Senior Director, Digital Experience, Gold Coast Health

CareSource

CareSource is one of the top non-profit healthcare organizations headquartered in Ohio, United States, serving over two million people and employing over 4,500 healthcare specialists. Struggling with overtime, the company partnered with UiPath to automate processes involving a lot of manual labor, particularly for their Claim, Utilization Management, and Clinical Management (C/UM/CM) team. The automation solutions were implemented for claims processing and adjudication, prior authorization, and invoice processing, resulting in 90% of invoices being handled automatically and a 50% reduction in manual work.

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Max Healthcare

Max Healthcare, the largest hospital chain in North India, has implemented RPA to streamline insurance claims administration across all units. A robot designed by UiPath now captures patient information from emails and PDF files and inputs this data in CSV format into the company’s databases and claims management software.

The bot can also log into government healthcare scheme portals, capture patient transaction records, and verify their statuses. Upon successful data validation, the robot automatically informs relevant departments via email. As a result, the healthcare provider has saved 65-75% of time spent on government healthcare scheme processing and decreased the turnaround time by 50%.

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Northampton General Hospital

Northampton General Hospital teamed up with Automation Anywhere to implement an RPA solution to automatically monitor the oxygen supply for COVID-19 patients. Instead of manually checking the oxygen tank level in the system, Oxygen Bot connects to the oxygen supplier’s website, extracts the latest readings, and inputs the data into the hospital’s system.

With 100% accuracy, Oxygen Bot monitors the oxygen level 24/7 without human involvement, freeing up about 1,500 hours for staff to focus on other tasks and reducing clinical risks for patients requiring oxygen support.

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MD Anderson Cancer Center

The University of Texas MD Anderson Cancer Center struggled with poor data synchronization between the HR, attendance, and staffing systems that had different interfaces, data formats, and credentials. An RPA solution based on the Fortra Automate platform has been implemented for secure between-system data transfer, report generation, and critical data updates and backup. Additionally, the RPA solution looks for mistakes and sends detailed error logs in case of failures. Thanks to automation, the center managed to optimize staffing levels, reduce administrative burden, and enhance customer care, saving around $150,000 yearly.

University Hospitals Birmingham

SS&C Blue Prism has designed a self-service solution for University Hospitals Birmingham (UHB), a large UK healthcare service provider. UHB wanted to efficiently and accurately register a large number of patients using RPA technology integrated with its patient administration system.

In its multiple facilities, UHB installed self-service kiosks that patients praised due to the absence of queuing and fast and simple self-registration. With these kiosks in place, UHB has achieved a 50% increase in front-desk staff efficiency and doubled its patient flow without the need to hire 20-30 additional receptionists.

Blue Prism has allowed us to meet and deliver our own business requirements in the timescales and financial constraints we needed.

Steve Chilton

UHB’s Chief Digital Officer

Popular tools with agentic automation & RPA capabilities for healthcare

There are plenty of platforms that can be used to develop bots and agents for healthcare organizations. Here, we highlight the key capabilities of the most popular solutions that consistently rank among the leaders for RPA and agentic automation in industry reports.

UiPath, a leading RPA and agentic automation platform, enables healthcare institutions to deploy bots and AI-powered agents and easily integrate them with third-party enterprise systems.

Key capabilities
  • Patient appointment scheduling
  • Patient data processing, insurance coverage verification, and intake forms collection
  • Medical billing and patient collections coordination
  • Prior authorization request intake, coverage checks, case routing to nurses and clinicians, and additional information requesting
  • Claims submission and status tracking
  • Clinical trial eligibility assessment
  • Payer denials categorization and appeal submission
  • Laboratory test order validation and result delivery

Power Automate is a low-code solution provided by Microsoft that, when integrated with Azure automation services and Copilot, can be used to develop bots and agents for diverse clinical and administrative use cases.

Key capabilities
  • Automated appointment scheduling, confirmation, and reminders
  • Identification and processing of patient-reported symptoms
  • IoT data capture and processing
  • Home visit scheduling
  • EHR/EMR updating
  • Printed and handwritten text recognition from images and scanned documents, such as referral letters, lab reports, and clinical notes
  • Text language detection and translation
  • Patient notifications and follow-up patient satisfaction surveys distribution

Automation Anywhere provides a suite of tools for building both robotic and agentic process automation solutions, enabling healthcare professionals to streamline daily tasks, while ensuring robust data governance and security.

Key capabilities
  • Patient eligibility verification
  • Healthcare data consolidation
  • EHR data updating
  • Patient records, intake forms, and explanations of benefits (EoBs) processing
  • Authorizations and clinical documentation submission to insurance providers
  • Claims status monitoring
  • Payer denials categorization

SS&C Blue Prism offers diverse enterprise-ready RPA and agentic automation capabilities for creating automated workflows and provides a comprehensive data governance framework to ensure data security and regulatory compliance essential for healthcare environments.

Key capabilities
  • Automated appointment scheduling
  • Sending appointment reminders via SMS, email, or voice calls
  • Patient data capture from intake forms and its delivery to the EHR system
  • Insurance claims data capture from claim forms and medical records and its inputting into hospital systems
  • Patient eligibility and insurance coverage verification for prior authorization
  • Sending authorization requests to insurance companies, tracking pending requests’ status, monitoring approvals and denials, and requesting additional information from the hospital staff
  • Generation and distribution of statements, invoices, and payment reminders
  • Claims data processing to detect anomalies and suspicious activities, as well as directing potentially fraudulent claims for further investigation

Implementation tips for RPA & agentic automation in healthcare

Assess business processes for automation feasibility

Before implementing a robotic or agentic process automation solution, healthcare providers should thoroughly examine their workflows to identify automation-ready tasks.

For the process to be automated, it should involve repetitive tasks. Such processes also usually imply working with numerous data sources and large volumes of data, where there is a high risk of human error, for example, pulling data from EHR, billing, and HR software, emails, and patient portals, updating information across multiple healthcare platforms, or cross-referencing patient details.

To locate such processes, healthcare providers should map all the administrative procedures and communicate with employees to understand common bottlenecks and automation opportunities.

Adopt a human-in-the-loop approach

As process automation solutions perform increasingly complex tasks, organizations need to ensure human oversight, especially in high-risk operations like drafting clinician documentation or triaging patients. That’s what makes the human-in-the-loop (HITL) approach essential. It refers to the practice of involving people to review and approve agents’ decisions and direct them at critical moments, such as in tasks that deviate from standard processes or when exceptions occur. Human-in-the-loop also helps make sure that agent decisions are reliable, enabling human specialists to timely detect system errors or hallucinations and prevent them from escalating across multi-step workflows.

Establish robust guardrails

To control the outputs of AI-powered agents, organizations should opt for agentic automation solutions that offer guardrails, which encompass policies, technical controls, and monitoring mechanisms that govern what AI models are allowed to do and how they should perform tasks.

Guardrails help assess agent responses, automatically detecting and blocking problematic behavior. By implementing them, companies can make sure that agents act dependably, safely, and in accordance with company guidelines, which also helps maintain compliance and improve employee trust in automated solutions.

Benefits of RPA & agentic automation in healthcare

Cost savings

By entrusting software robots and agents with repetitive and time-consuming tasks, healthcare organizations can optimize their workloads and, thus, staffing levels.

Faster processes

RPA and agentic automation solutions complete mundane administrative tasks, such as appointment scheduling and insurance claims processing, several times faster than humans, reducing turnaround times without extending working hours.

Data accuracy

RPA and agentic automation tools reduce human error caused by manual data entry during patient registration, EHR updating, or billing and ensure data consistency across all the healthcare organization’s systems.

Increased productivity

By automating manual processes, RPA bots and agents free up employees’ time for complex activities requiring human judgment and decision-making, such as patient communication, inventory planning, and conflict resolution, and help maximize staff productivity.

Improved patient experience

Relieved of routine workload, healthcare staff can devote more time to patients and address their needs more attentively.

Burnout prevention

By minimizing burnout-inducing administrative tasks, process automation helps increase employee satisfaction, preventing the staff from experiencing exhaustion and quitting.

Improved patient outcomes

By reducing administrative delays and errors, RPA and agentic automation enable physicians to make accurate diagnoses and deliver timely treatments.

Scalability

By working effectively with large amounts of data, bots and agents allow healthcare organizations to manage higher volumes of patients, procedures, and tests.

Want to reap the benefits of RPA or agentic automation?

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Challenges of RPA & agentic automation in healthcare

Challenge

Solution

Data privacy
RPA bots and AI agents collect, process, and transmit significant amounts of sensitive data, which brings potential cybersecurity threats and raises data privacy concerns.

To reduce risks like unauthorized access or data leakage, healthcare providers should implement automation solutions that offer robust built-in data governance and security mechanisms, including data encryption at rest and in transit, granular access controls, and strong user authentication and authorization processes.

Slow return on investment
While RPA or agentic automation solutions offer significant process improvements, some healthcare institutions find it hard to achieve the desired ROI of automation within the expected timeframe.

One of the ways to speed up the return on process automation investments is to focus on proper implementation planning at the beginning of the project, which involves conducting upfront automation feasibility and ROI assessments. Organizations should calculate how much will be saved by eliminating manual effort and investing in automation. Moreover, partnering with experienced RPA and agentic automation consultants can help companies prioritize automation use cases and plan the solution’s implementation to accelerate its time-to-value.

Staff resistance
Fearing that automation will take their jobs, operational healthcare employees can resist the technology.

Organizations should invest in proper staff training, which can foster a better understanding of the technology and help employees develop new skills to use automation efficiently, as well as to become more proficient in tasks that automated solutions can’t perform.

Itransition’s RPA & agentic automation services for healthcare

Consulting

We provide strategic and technical guidance to help you plan and implement a robotic or agentic process automation solution in line with your business needs. Starting with a comprehensive business processes analysis, we help you identify a suitable automation use case, tech stack, and implementation strategy. Additionally, we oversee the implementation process end-to-end, preventing project bottlenecks and workflow disruptions.

Implementation

We deliver tailored automation solutions to help you streamline your healthcare workflows. Within the scope of our services, we define your automation needs, select the best-suited automation tools, and develop automation solutions aligned with your business goals. Apart from providing comprehensive implementation services, we also offer post-launch solution monitoring and fine-tuning support on demand to ensure that the automated solution functions as planned.

Streamline your healthcare operations with RPA

Streamline your healthcare operations with RPA & agentic automation

RPA and agentic automation have become an integral part of digital transformation in the healthcare industry. Allowing professionals to streamline a variety of healthcare operations, including patient data intake, insurance eligibility checks, appointment scheduling, and billing processes, bots and agents reduce manual effort, eliminate inefficiencies, and speed up routine tasks. As a result, healthcare specialists can dedicate more time to intellectually intensive activities to improve the patient experience.

However, to realize the potential of automation, strategic planning, investment in talent and technologies, and a commitment to ethical and responsible use of automation are necessary. You can contact agentic automation and RPA experts, such as Itransition, for implementation guidance or to start a process automation project for your healthcare institution.

Looking for an expert agentic automation and RPA services provider?

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FAQs

Traditional RPA solutions can perform only rule-based tasks and process structured data. However, modern agentic automation solutions combined with machine learning, optical character recognition, and natural language processing can aggregate both structured and unstructured data and handle multi-step workflows, enabling intelligent automation across different business processes.

RPA bots can simplify integration by interacting with legacy systems through their user interfaces and replicating human actions, such as data extraction and entry. For deeper integration, organizations can connect legacy systems with a process automation platform by developing custom APIs or implementing middleware or iPaaS software. At Itransition, we help companies integrate different types of disparate systems, facilitating seamless data exchange and secure app communication.

The cost of an RPA or agentic automation solution depends on the selected automation platform’s license fees, the number and complexity of bots you implement, the number of automated processes, integration scope and complexity, staff training needs, and solution maintenance requirements. Generally, the total cost of automation implementation in healthcare can range from $5,000 for a single bot and up to $10,000 for an AI agent, reaching $300,000 for multiple bots and agents.

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