What challenges did WestCare face before AI implementation?

Clinicians spent over 230,000 hours on documentation in 2023, reducing time for patient care and contributing to burnout and turnover. WestCare needed to modernize legacy clinical workflows rather than simply layering AI onto an old system.

What was the impact of the AI solution?

50% reduction in documentation time, freeing over 115,000 clinician hours annually. 20% increase in patient throughput. 35% reduction in provider burnout. 50% faster release cycles. 99.9% uptime for patient-data access.

Source

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

99.9%

timeTime & speed

−50%time+20%quantified impact−35%quantified impact

Strategic outcomes

New product / capabilityAutomated clinical documentation draftingSpeed & agilityModernized deployment and data pipelinesCustomer experience & trustImproved patient care capacityEmployee experienceReduced clinician burnout

Primary read

Use case focus

Showing 3 of 3

1Clinical documentation automation
2Workflow modernization
3Generative AI

Clinicians spent over 230,000 hours on documentation in 2023, reducing time for patient care and contributing to burnout and turnover.
WestCare needed to modernize legacy clinical workflows rather than simply layering AI onto an old system.

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.

Technologies

Amazon Bedrock Cohere Command Large Language Model Amazon EC2 Jenkins Amazon S3 FHIR PostgreSQL

50% reduction in documentation time, freeing over 115,000 clinician hours annually.
20% increase in patient throughput.
35% reduction in provider burnout.
50% faster release cycles.
99.9% uptime for patient-data access.

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

Groundedness: 3/5Type: Blog PostPublished: Aug 28, 2025Publisher: WestCareEvidence: PrimaryConfidence: High

Primary source

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