PAYERS
Utilization management review
Summarize current and historical records to accelerate medical-necessity analysis. Clinicians review every AI medical record summary side-by-side with the source chart.
MEDICAL RECORD SUMMARIZATION
Trusted medical record summarization, built to scale across every clinical workflow
Turn hours of manual chart review into minutes. The UiPath Solution for medical record summarization produces clinician-reviewed, citation-backed summaries with full source traceability.
The UiPath solution for medical record summarization
Trusted medical record summarization, built to scale across every clinical workflow
Turn hours of manual chart review into minutes. The UiPath Solution for medical record summarization produces clinician-reviewed, citation-backed summaries with full source traceability.
Less time on records. More time on decisions.
Every summary is template-driven, clinician-controlled, and traceable to the source record, deployable across payers, providers, and life sciences without rebuilding for each team.
90%
reduction in clinical review time per case. UiPath customer data, [2026]95%
accuracy on initial AI-generated summariesUiPath customer data, [2026]6 minutes
average review time, down from 70UiPath customer data, [2026]Medical record automation across healthcare and life sciences
Utilization management, referral intake, appeals, and clinical research all run on the same summarization engine. Each team controls its own templates and review steps.
PAYERS
Appeals and grievance handling
Extract and summarize the clinical evidence that matters for each appeal. Reviewers spend time on judgment, not on hunting for documents across the medical record.
PROVIDERS
Referral and order intake
Build intake summaries that align historical care with the reimbursement journey. Clinical necessity data is extracted once and flows downstream.
PROVIDERS
Charge billing audit
Summarize records into a clinical data repository format so charge reviews and medical-necessity checks run in hours, not days.
LIFE SCIENCES
Drug denials management
Accelerate review of denied claims for cell and gene therapy and other complex treatments where clinical documentation drives the decision.
LIFE SCIENCES
Clinical trial candidate review
Screen large volumes of patient records against trial criteria. Surface high-probability candidates based on medical history, with citations back to the source chart.
Clinician-level summaries with citations
UiPath DeepRAG framework, built for whole-document analysis across multi-page, multi-modal clinical records.
HIPAA-ready and audit-traceable
Role-based access, complete audit trails, and configurable data residency on Cloud, dedicated cloud, or on-premises.
Integrated with your EHR
Connect to Epic, Cerner, and other EHR systems. Summaries flow into downstream clinical and operational workflows.
Human-in-the-loop by design
Side-by-side document viewer, in-text citations, overrides captured, feedback loops improve every cycle.
Built on the UiPath Platform
Medical record summarization is one workflow on UiPath. Agents, robots, and people, coordinated by Maestro™, run every clinical and operational process on the same platform.
Case study
Medlitix cuts clinical review time by 90% with UiPath
A data-driven clinical review partner moved summary turnaround from 70 minutes to six, without adding clinical headcount, on the UiPath Solution for medical record summarization.
90% reduction in clinical review time per case
95% accuracy on initial AI-generated summaries
$1.2M estimated savings, five avoided clinical hires
Watch a 70-minute chart review become a structured summary in minutes.
"Since implementing UiPath, we've reduced average summary review time from 70 minutes to six, a 90% improvement. Our clinicians are spending more time on direct patient care and less time digging through documentation. The structured output and citations give us confidence in what we're reviewing."
White Paper
Trusted medical record summarization, built for accuracy
How UiPath delivers clinician-level summaries with full traceability: the review workflow, the DeepRAG framework, and the metrics that prove impact.
Medical record summarization: common questions
What medical record summarization is, how AI medical record summarization works in practice, and how the UiPath Solution fits into HIPAA-bound healthcare systems.
Medical record summarization is the process of reviewing multi-page, multi-modal patient records and producing concise, citation-backed summaries that clinical teams can act on. It powers workflows like utilization management, referral intake, appeals, and charge audits. The UiPath Solution for medical record summarization automates the extraction and summarization work while keeping clinicians in control of review and sign-off.
AI agents pull data from EHR systems and unstructured documents, then apply task-driven retrieval and summarization models to identify the clinical evidence that matters for the workflow at hand. Each AI medical record summary includes in-text citations back to the source chart. A clinician reviews the output side-by-side with the original document, applies overrides, and returns feedback that improves future accuracy.
Clinical process owners define summary templates using guided and chat-based tools, with no AI expertise required. UiPath agents run those templates against patient records using the DeepRAG framework for whole-document analysis and hierarchical summarization. Summaries route to the right clinical reviewers, who validate them in a side-by-side document interface. Maestro coordinates the end-to-end flow.
The UiPath Platform operates in HIPAA-compliant environments with role-based access, complete audit trails, and configurable data residency. Deploy on UiPath Cloud, a dedicated cloud, or on-premises. Summaries never leave approved boundaries, and every AI action is observable, traceable, and reviewable.
Yes. UiPath agents connect to Epic, Cerner, and other EHR systems to retrieve and process multi-modal patient records. Summaries flow back into downstream clinical and operational workflows, including utilization decisions, claims processing, and care coordination.
OCR extracts text and document classification routes files. Medical record summarization goes further. It analyzes the full clinical record, identifies the evidence relevant to a specific workflow, and produces a structured output that a clinician can sign off on. UiPath handles ingestion, classification, summarization, review, and downstream action in one governed flow.
Yes. Clinical process owners use guided and chat-based tools to define, test, and refine templates. They run them against sample and live documents, collaborate with peers, and publish without specialized AI expertise. Summaries stay aligned to clinical intent, not AI assumptions.
Summarization is one step in a larger orchestrated workflow. The UiPath Platform pulls data from EHRs, runs summarization via DeepRAG, routes output to the right reviewers, and feeds results into utilization decisions, claims processing, and care coordination. The summary becomes a reusable, trusted asset across every record-driven process.
