Normalized claim
Time: 50% decrease
50% reduction in documentation time, freeing over 115,000 clinician hours annually.
WestCare uses Amazon Bedrock-powered generative AI to cut clinical documentation time
Use case typeClinical documentationUpdated Jun 13, 2026
WestCare, a behavioral health nonprofit, used AWS and generative AI to modernize its clinical documentation workflow. The SPIRIT project embeds Amazon Bedrock with a Cohere LLM into its Clinical Data System to draft assessments, treatment plans, and case notes from EHR data. WestCare also modernized deployment and data pipelines with Amazon EC2, Jenkins, Amazon S3, and FHIR-based transformations.
- Organization
- WestCare
- Industry
- Healthcare
- Location
- United States
- Published
- August 2025
Reported outcomes
Productivity: +20%
Productivity & throughput
Time: More than 50% lowerImpact: −35%Time: +50%
Catalog median for productivity & throughput deployments: +40% across 100 reported metrics. Compare benchmarks →
Planned next steps
- The source says this outcome is planned: Automated clinical documentation drafting.
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Quantified impact: 20% increase
20% increase in patient throughput.
Normalized claim
Quantified impact: 35% decrease
35% reduction in provider burnout.
Normalized claim
Time: 50% increase
50% faster release cycles.
Normalized claim
Time: 99.9%
99.9% uptime for patient-data access.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- WestCare
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- WestCare
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1Clinical documentation automation
- 2Workflow modernization
- 3Generative AI
- SPIRIT modernized the clinical data workflow and embedded Amazon Bedrock generative AI into the Clinical Data System.
- The system drafts clinical assessments, treatment plans, and case notes from EHR data using prompt engineering and clinical oversight.
- Amazon EC2 hosts an automated Jenkins CI/CD pipeline, and Amazon S3 supports ETL and FHIR data transformation for the clinical data system.
- Governance measures included clinician training, acceptable-use acknowledgment, and client opt-out for AI use.
- 20% increase in patient throughput.
- 50% faster release cycles.
Architecture
AWS-based SPIRIT architecture combining Amazon Bedrock with a Cohere LLM for draft clinical documentation, Amazon EC2 hosting a Jenkins CI/CD pipeline, and Amazon S3 supporting ETL jobs and FHIR data transformation within WestCare's Clinical Data System.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Blog PostPublished: Aug 28, 2025Publisher: WestCareEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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