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January 29, 2026
of healthcare organizations use RPA and AI-powered automation
the anticipated RPA in healthcare market size by 2034
the forecasted CAGR of the healthcare agentic AI market from 2025–2030
Scheme title: Agentic AI in healthcare market segmentation by end-users
Data source: Grand View Research
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.
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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.
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.
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.
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%.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
By entrusting software robots and agents with repetitive and time-consuming tasks, healthcare organizations can optimize their workloads and, thus, staffing levels.
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.
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.
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.
Relieved of routine workload, healthcare staff can devote more time to patients and address their needs more attentively.
By minimizing burnout-inducing administrative tasks, process automation helps increase employee satisfaction, preventing the staff from experiencing exhaustion and quitting.
By reducing administrative delays and errors, RPA and agentic automation enable physicians to make accurate diagnoses and deliver timely treatments.
By working effectively with large amounts of data, bots and agents allow healthcare organizations to manage higher volumes of patients, procedures, and tests.
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. |
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.
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.
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.
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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