RPA automates repetitive administrative workflows in healthcare — from claims processing and prior authorization to patient registration and eligibility verification — reducing costs and errors in high-volume back-office operations.
In banking, Robotic Process Automation is represented by 19 published case-study records and 1 linked vendors in this directory. 19 records retain cited source URLs. The largest concentration is Hospital & Health System, with Patient Engagement & Access the most common use case. Outcomes are attributed to each record's source when available rather than independently verified.
Limitation: Missing linked evidence is unknown and does not prove absence of capability.
Healthcare administration consumes 34% of total US healthcare spending — over $1 trillion annually — driven by the complexity of insurance verification, prior authorization, claims processing, and regulatory compliance. RPA deploys software bots that mimic human actions across these systems: logging into portals, extracting data, filling forms, cross-referencing records, and routing exceptions for human review. While less sophisticated than machine learning, RPA's strength is its ability to automate processes that require navigating legacy systems and manual workflows that resist API-based integration.
Revenue cycle RPA delivers the most immediate and measurable value. AKASA, deployed at Cleveland Clinic and other health systems, uses intelligent automation (RPA enhanced with AI) to automate eligibility verification, prior authorization, claims status checking, and payment posting. These tasks consume thousands of staff hours monthly at large health systems, with each manual prior authorization taking 30-45 minutes. RPA reduces processing time to 3-5 minutes for standard authorizations. Claims status bots check payer portals continuously, identifying and addressing denials days faster than manual follow-up. Patient registration bots verify demographics, insurance, and benefits in real time during scheduling, preventing downstream billing issues.
Beyond revenue cycle, healthcare RPA automates clinical support workflows: lab order processing, referral management, prescription renewal verification, and medical records requests. Compliance and regulatory RPA automates audit preparation, credential verification for medical staff, and regulatory reporting. The technology is particularly valuable in healthcare because the industry relies heavily on system-to-system interactions through web portals (payer portals, state registries, pharmacy benefit managers) that lack API integration. RPA bots navigate these portals as a human would — but 24/7, error-free, and at 5-10x the speed. As AI-enhanced RPA (sometimes called intelligent automation or hyperautomation) evolves, bots increasingly handle exceptions that previously required human judgment, expanding the scope of automatable healthcare administration.
RPA automates structured, rule-based tasks by mimicking human actions (clicking, typing, copying data between systems). AI makes predictions and decisions from data. They're complementary: RPA handles the mechanical process of navigating payer portals and filling forms, while AI handles the judgment calls (should this claim be submitted? Is this prior auth likely to be approved?). AKASA and similar platforms combine both — RPA for process execution, AI for decision-making within those processes. Pure RPA works best for high-volume, low-variability tasks; AI-enhanced RPA handles workflows with exceptions and judgment requirements.
Marshall Health Network
Pennsylvania Hospital Group
Care New England
Rural hospital in Louisiana (unnamed)
Intermountain Healthcare
Signature Dental Partners
North Kansas City Hospital and Meritas Health
Austin Regional Clinic
Good Shepherd Rehabilitation Network
Lowell Community Health Center
Intermountain Healthcare
Alberta Health Services
Confidential Dental Group (4-location practice)