Free self-assessment
Clinical AI Documentation Readiness Index
Before a health system decides whether a proposed clinical AI use case should proceed, someone has to answer a narrower question: is the local documentation pathway behind it understood well enough to support that decision. These twelve items surface where the answer is written down, where it is only assumed, and where it is not known today.
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0 of 12 items answered
Decision framing
1. One named clinical AI use case is defined, including intended users and the workflow it touches.
Decision framing
2. A named decision owner and a decision deadline exist for that use case.
Decision framing
3. The unresolved question that would change the decision is written down.
Documentation pathway
4. The documentation fields the use case depends on have been listed and located in the record.
Documentation pathway
5. Timing of those fields is understood, including when entries are actually filed relative to the event.
Documentation pathway
6. Missingness and duplication patterns in those fields have been examined locally.
Documentation pathway
7. Source provenance is known, including which entries are typed, templated, imported, or device derived.
Documentation pathway
8. Mapping consistency across units, sites, and record versions has been checked.
Governance
9. Approved subgroup fields are available for a fairness or consistency review.
Governance
10. An approved retrospective or read-only evaluation pathway exists, with criteria for whether any later observational phase may be considered under separate written authorization.
Governance
11. Stopping conditions are agreed in advance, including what would justify Proceed, Modify, Pause, or Stop.
Governance
12. The governance body expects a written evidence record before a Proceed decision.
What happens after this
The index points at open questions. A 30-minute Readiness Evaluation Scoping Conversation turns those into a written evaluation-fit determination, including the possibility that no study is justified.