Healthcare technology teams know the drill: any solution that promises to “transform” utilization management (UM) often has strings attached—long integration timelines, heavy demands on internal teams, and disruption to established workflows. When the cost of change outweighs the benefit, IT leaders are forced to hit pause. That’s one of the reasons we built Review Assist.

Review Assist doesn’t replace your systems. It sits on top of your existing technology stack, delivering intelligent support to nurses in real time, without forcing your teams to overhaul their current workflows. Using agentic technology, think of it as a clinical AI copilot that enhances the quality of highly complex medical reviews, boosts productivity, and improves consistency.

How Review Assist works
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Easy and seamless

Plus into and complements existing UM systems, review tools, and guidelines

Clinically intelligent AI

Clinical-trained AI models extract indication-level insights from clinical records

Clinical review assist

Surfaces condition-specific insights with a direct link to source evidence

Review Assist enhances the reviewer experience without disrupting established processes. Here’s how each component contributes to faster, higher-quality decisions:

🧠 Case Summary
Automatically generates a high-level overview of foundational case details, giving reviewers immediate context and accelerating orientation.

📌 Primary condition identification
AI analyzes the clinical context to suggest the most likely primary condition(s), guiding reviewers toward the appropriate guideline or policy track.

🔍 Clinical indication validation
Condition-specific insights and patient-level indicators surface directly from clinical documentation and are linked to the source evidence, ensuring nothing is missed.

📂 Clinical attachment viewer
An intuitive interface enables reviewers to quickly navigate clinical attachments and verify supporting evidence without searching through hundreds of pages of documentation.

💬 Agentic AI chatbot agent
A conversational assistant helps reviewers identify additional insights, clarify case details, and answer specific clinical questions in real time.

🔗 Workflow integration
Reviewers can easily copy AI-surfaced insights into their system of record using familiar workflows, without needing new logins or training.

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Why technical leaders should choose Review Assist

Built for user adoption
One of the most significant barriers to value realization is poor user engagement. Review Assist bypasses that risk. It acts as a copilot rather than a complex tool, providing an intuitive interface, context, and smart suggestions, without ever taking over the wheel.

High impact with low disruption
You don’t need to wait for a complete system modernization to improve medical necessity reviews. With Review Assist, you realize measurable decision quality and throughput gains from the get-go.

Improves inter-rater reliability
Review Assist helps drive more consistent and defensible decision-making across reviewers by constantly surfacing the same clinically relevant insights, cues, and supporting documentation. The result? Policy-aligned reviews that consistently reduce variation and risk.

Higher-quality reviews, powered by clinical AI
Review Assist surfaces key insights, flags policy-relevant documentation, and identifies common clinical gaps, empowering nurses to make better decisions more quickly.

From worrying about change to leading it

If you’re hesitant to introduce new technology into an already complex clinical workflow, you’re not alone. Many health plans worry that any new tool—even one promising real improvement—will create downstream complications for their teams. Review Assist was designed to address that concern head-on.

Change management can create a heavy lift, especially when workflows are tightly integrated and clinical reviewers work at full capacity. That’s why Review Assist doesn’t force a new system or process. Instead, it quietly integrates into your existing environment and supports reviewers within the systems they already use, providing an added layer of clinical intelligence with no overhaul required and little to no retraining necessary.

At the same time, the quality of medical reviews is under more scrutiny than ever. Whether addressing inter-reviewer variation or striving for better policy adherence, consistency is hard to achieve without adding more rules, checks, or staff. Review Assist flips that script by enhancing alignment with policy and clinical best practices, intelligently surfacing relevant information rather than increasing complexity. It lightens the cognitive load, helping reviewers make more consistent, accurate decisions with less effort.

For clinical teams under pressure, burnout and fatigue persist as significant risks. Manual document parsing, repetitive decision trees, and constant context switching drain productivity and morale. Review Assist was built with nurse usability at its core—reducing manual steps, automating information triage, and delivering decision support that feels like a natural extension of their thinking process, not a hurdle.

Upgrade the reviewer experience

You don’t need to overhaul your UM systems to see real gains. Review Assist provides a low-lift, high-impact way to enhance review outcomes and reduce administrative burden, with a clinical AI copilot that integrates seamlessly into your existing workflows and supports your nursing team from day one.

Learn more about how Review Assist can fit into your clinical review stack.

Published On: July 3rd, 2025Categories: Blog

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About the Author: Cohere Health

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving collaboration between physicians and health plans. Cohere works with 600,000 providers and processes millions of prior authorization requests annually. Its AI auto-approves up to 90% of requests for millions of health plan members. Cohere has been recognized in the Gartner® Hype Cycle™ for U.S. Healthcare Payers in 2024 and 2025, named a Top 5 LinkedIn™ Startup in 2023 and 2024, and is a three-time KLAS Points of Light award recipient.