4 real-life Business Process Automation examples in Healthcare and Life Sciences

4 real-life Business Process Automation examples in Healthcare and Life Sciences

Automation within healthcare and life sciences needs to account for patient safety, clinical quality, privacy, and heavily regulated records.

The examples in hospitals and clinics show that the best automations remove duplicate data entry, claims handling friction, and document-processing burden across fragmented systems, freeing clinicians and administrators to focus on care while improving accuracy, turnaround times, and compliance.

Business function

Industry

Genentech Automating Drug Research and BioMarker Validation

Genentech has developed an advanced generative AI system, known as the gRED Research Agent, which empowers scientists to automate the arduous process of drug research and biomarker validation, transforming tasks that previously took weeks into operations completed in minutes.

Use Case
Automating Drug Research
Tools
gRED Research Agent & Claude
Input
Complex scientific queries (e.g. identifying cell surface receptors in specific diseases) and vast data sources including PubMed journals and internal proprietary repositories.
Process
The system utilises autonomous agents to decompose complex research tasks into dynamic, multi-step workflows. By employing RAG, the agents search across multiple knowledge bases and Genentech's internal APIs, adapting their approach based on information gathered at each stage to synthesise high-level findings.
Output
Synthesised scientific findings accompanied by cited summaries and data-driven insights.
Outcome
Expected automation of over 43,000 hours of manual effort in biomarker validation, significantly reducing time-to-target identification and accelerating the delivery of new medicines to patients.
Pharma and Biotech
Product

Sanofi's AI-Powered Procurement Contract Management

Sanofi implemented the Icertis Contract Intelligence platform to govern all procurement and buy-side contracts globally, replacing fragmented processes with a unified system that provides visibility into contract cycle times, obligations, and compliance across its entire supplier base.

Use Case
AI Contract Lifecycle Management for Procurement
Tools
Internal Tools & Icertis
Input
Global procurement contracts, supplier agreements, compliance obligations and approval workflow data across Sanofi's worldwide operations
Process
The Icertis platform applies AI to extract, classify, and standardise contract data and automates contract generation and approval workflows
Output
Centralised global contract repository with standardised templates with automated contract generation, approval, and execution workflows
Outcome
Improved global visibility into procurement contract performance with measurably faster contract cycle times.
Pharma and Biotech
Procurement

CareSource Automates Healthcare Document Processing with UiPath

CareSource, a US-based managed care organisation serving over two million members, used UiPath intelligent automation to redesign how it processed large volumes of critical healthcare documents including claims, prior authorisations, faxes, and invoices. The automation reduced manual intervention across its Claims, Utilisation Management, and Clinical Management teams.

Use Case
Automated document processing and claims management across healthcare operations
Tools
UiPath
Input
Incoming healthcare documents including claims, prior authorisation requests, faxes, and vendor invoices received by the C/UM/CM team
Process
UiPath robots extract and classify document data using AI-powered Document Understanding, automatically route claims and authorisation requests, process invoices, and update relevant systems — reducing or eliminating manual review steps
Output
Processed claims, approved prior authorisations, validated invoices, and updated clinical records delivered with reduced manual touchpoints and faster turnaround times
Outcome
Improved claim processing efficiency with reduced manual intervention; enhanced prior authorisation and invoice handling with fewer delays; transformed clinical operations with improved accuracy. CareSource was named a 2024 UiPath AI25 Award winner.
Hospitals and Clinics
Operations

Helse Vest Deploys RPA to Reduce Clinical Admin Burden for Doctors and Nurses

Helse Vest, a regional health authority in Norway, deployed UiPath RPA (nicknamed 'Robbie Vest') to automate repetitive clinical data entry tasks across its hospitals. Key processes automated include prostate cancer patient data registration across three separate systems (DIPS, a research database, and reporting tools) and midwifery intake forms for pregnant women — replacing paper forms and manual multi-system entry.

Use Case
Automation of clinical data entry and patient record management across multiple hospital systems
Tools
UiPath
Input
Patient clinical data including prostate cancer records requiring entry into multiple systems, and digital intake form data from pregnant women submitted via the national health portal helsenorge.no
Process
UiPath robots automatically read patient data from source systems and replicate it across DIPS journal system, research databases, and reporting tools — eliminating duplicate manual entry. For midwifery, the robot captures digital form submissions and populates all required hospital systems automatically.
Output
Accurately populated patient records across all required clinical systems, with no manual re-entry; complete midwifery intake data available to midwives before birth
Outcome
Significant reduction in time spent on administrative data entry for doctors and nurses; improved accuracy of patient data in clinical systems; midwives now receive complete patient information before births, improving patient safety. Helse Vest has become a leading proponent of RPA within Norwegian healthcare.
Hospitals and Clinics
Operations
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