What challenges did Cohere Health face before AI implementation?

Improve the speed and accuracy of medical necessity reviews for prior authorization in a highly regulated healthcare environment. Reduce administrative burden while maintaining clinical decision quality and turnaround times.

What was the impact of the AI solution?

Cohere Health expects Review Resolve to reduce review times by 30-40%. The solution aims to improve on the company's existing 90% automation rate and increase the accuracy of clinical determinations. Faster decisions are intended to accelerate care access, improve adherence to therapy, improve patient outcomes, and reduce costs.

Source

Evidence: Low35/100

Cohere Health builds an AI copilot on Amazon Bedrock AgentCore for medical necessity reviews

Use case typeClinical decision supportUpdated Oct 13, 2025

Cohere Health built Cohere Review Resolve, an AI-powered copilot for health plan medical necessity reviews. The copilot analyzes structured and unstructured clinical data to surface evidence and answer reviewer queries across complex prior authorization workflows.

Organization: Cohere Health
Industry: Healthcare
Location: United States
Published: October 2025

Reported outcomes

30-40%

review times reductionOther quantified impact

Strategic outcomes

Customer experience & trustAccelerated care accessOther strategic outcomeImproved clinical determination accuracy

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Review times reduction: 30-40% decrease

AWS ML BlogOct 13, 2025Blog postExplicit claimLow evidence strength

reduce review times by 30-40%

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Cohere Health
Provider: AWS
Maturity: Unknown
Linked source: AWS ML Blog

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Clinical decision support
2Document review

Improve the speed and accuracy of medical necessity reviews for prior authorization in a highly regulated healthcare environment.
Reduce administrative burden while maintaining clinical decision quality and turnaround times.

Built Cohere Review Resolve on Amazon Bedrock AgentCore as an AI-powered copilot.
The copilot analyzes clinical records, patient notes, and faxes to surface evidence, provide complete clinical context, and respond intelligently to reviewer queries.
AgentCore was chosen for enterprise-grade audit trails, extended session support, and history across multi-hour workflows.

Technologies

Amazon Bedrock AgentCore

Cohere Health expects Review Resolve to reduce review times by 30-40%.
The solution aims to improve on the company's existing 90% automation rate and increase the accuracy of clinical determinations.
Faster decisions are intended to accelerate care access, improve adherence to therapy, improve patient outcomes, and reduce costs.

Architecture

Cohere Health built Cohere Review Resolve on Amazon Bedrock AgentCore. The copilot analyzes structured and unstructured clinical inputs, surfaces evidence for prior authorization review, and supports reviewers through multi-hour workflows with audit trails, extended sessions, and history retention.

Sources & evidence1

Evidence: Low35/100Evidence strength