AI now reviews charts, flags care gaps, documents visits, and captures diagnoses on both sides of the payer-provider relationship. Every health plan and provider must now decide which of those decisions belong to a clinician. In this recorded fireside chat, Reveleer Chief Medical Officer Dr. Jean-Luc "JL" Neptune and Reveleer CEO Jay Ackerman explain how clinicians judge AI at the point of care, what Neptune saw when hallucinations in an ambient scribing rollout cost clinicians' trust, and how to set oversight levels before reducing human review.

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What the session covers:

• How in the loop, on the loop, and above the loop oversight differ, and which level physicians accept today
• Why clinicians ignore AI that delivers false positives or too much information
• How to rank AI tasks by risk and begin with the simplest, lowest-risk work
• Which metric to watch first when deciding whether to reduce human review
• How clinician overrides can reach the people who maintain the rules and models behind AI
• Why a health plan and a provider can reach different conclusions on the same chart, and what rule transparency changes
• How to judge AI investments by unambiguous ROI when budgets stay flat

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Reveleer delivers risk adjustment, quality improvement, clinical intelligence, and member management for health plans and provider organizations. Watch the full session to hear how clinical judgment shapes that work, then read the 2026 State of Technology in Value-Based Care report, for the survey data behind the discussion.

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Speakers

Jay Ackerman

CEO and President
Reveleer

Jean-Luc “JL” Neptune, MD, MBA

Chief Medical Officer
Reveleer

Marena Hildebrandt, DNP, RN, PHN, NEA-BC

Sr Product Marketing Manager
Reveleer

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Questions about AI in value-based care

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What is human on the loop AI in healthcare?

Human on the loop describes a model in which the AI system works autonomously while a clinician supervises it and steps in when needed. Dr. JL Neptune contrasts it with human in the loop, where a person approves every action, and above the loop, where a person sets the objective and reviews outcomes later. Neptune says many providers want on the loop supervision today and expects more use cases to move above the loop as the technology improves.

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Why do value-based care organizations still rely on manual workflows if they already use AI?

Dr. Neptune attributes the gap to workflow design. Most value-based care workflows were not designed around AI, many legacy vendors add AI as an extra feature, and providers stitch together multiple point solutions that raise complexity. The 2026 State of Technology in Value-Based Care report, a Harris Poll survey of 200 payer and provider leaders commissioned by Reveleer and analyzed by Mathematica, found AI adoption at 100% of payers and providers, while 94% of providers say manual processes still dominate their value-based care workflows.

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How should health plans and providers evaluate AI vendors?

Dr. Neptune advises working with vendors that understand the buyer's use cases, workflows, incentives, and constraints, starting with small steps instead of large ones, and choosing partners willing to solve the organization's specific problems. Ackerman adds that ROI belongs at the center of every decision, that a vendor should explain the expected return in terms the buyer believes, and that buyers should ask how the tool handles outputs that clinicians or coders reject.