Pre- and Post-Operative Care
What should the system recommend today, versus why did it recommend that then—these are different questions.
The situation
For surgical patients, AI can assist with pre-operative risk assessment, protocol adherence, post-operative monitoring and escalation. The relevant decision is rarely based on one measurement — patient history, medications, labs, procedure characteriztics, observations and changing physiological state can interact.
How AnantVerify evaluates it
AnantVerify evaluates whether the state required for a protocol-supported decision is available and sufficiently current, and tests whether an AI-assisted decision responds appropriately when clinically relevant conditions change while remaining stable to irrelevant changes.
After deployment, the organization can preserve the evidence and protocol version that supported the recommendation at the time it was made.
Why replay matters
Months later, the protocol may have changed. Decision Replay can distinguish what the system should recommend today from why the system made that recommendation then. Those are different questions—and an assurance system should preserve both.
An assurance system should be able to answer both what should happen now, and why something happened then.