RCM & Prior Auth AI

How the AI Health Index grades revenue cycle and prior authorization AI

The AI Health Index grades 108 revenue cycle and prior authorization vendors on fifteen capability axes, verified as of October 22, 2026. The two axes that separate this field are EHR and Interoperability Depth, at 17 of 108 on an A with 74 at an A or a B, and Autonomy and Oversight Model, at 10 on an A with 67 at an A or a B. Those two together decide whether a product removes work or relocates it. A tool that reads eligibility and writes back to the record removes a task. A tool that surfaces a recommendation into a queue a human still has to clear has moved the task rather than eliminated it, and both are sold with the same automation language. The AI Health Index grades the depth of the write and the level of unattended action separately for exactly that reason.

Source: AI Health Index, October 22, 2026

The disclosure gap in prior authorization AI, stated plainly

Verified as of October 22, 2026, the AI Health Index grades 0 of 108 revenue cycle and prior authorization vendors at an A on AI Governance and Bias Disclosure, 2 at an A on AI Liability and Recourse, and 2 at an A on Commercial Transparency. Prior authorization is the point in the revenue cycle where an automated determination reaches a patient, and it is already the subject of regulatory and litigation attention over automated denial. A health system deploying one of these products inherits the exposure without inheriting the evidence, because in most cases there is no published subgroup performance, no stated monitoring plan and no remediation commitment to inherit. The AI Health Index grades what is published rather than what is practiced, so these are gaps a buyer can close by asking, and vendors that publish are regraded.

Source: AI Health Index, October 22, 2026