01 · Working principle
Prepare the evidence before debating the answer
A pre-read should name the leadership question, cohort, reporting window, measure definition, comparison, source vintage, and coverage. It should show what changed, what has not been validated, and which explanations remain hypotheses. That makes the meeting a decision forum instead of a live reconciliation exercise.
02 · Working principle
The five-stage cadence
Ask frames the decision. Brief assembles the evidence. Decide records management judgment. Act assigns approved work. Learn returns the observed result to the next review. The stages are simple by design; the discipline is preserving their links.
- Pre-read: stable definitions, cohort, window, comparison, coverage, and open questions.
- Meeting: shared evidence, seat-specific readings, options, assumptions, and dissent.
- Decision record: decision owner, approval, rationale, and evidence references.
- Follow-through: action owner, measure, timing, dependencies, and escalation path.
- Next review: observed movement, new evidence, limitations, and whether to continue or revise.
03 · Working principle
Common failure modes
Reviews lose value when teams debate definitions in the room, jump from association to causal certainty, leave without a named owner, or never return to the result. Another failure is compressing finance, clinical, nursing, operations, and data perspectives into one generic summary. The goal is a shared evidence base, not identical questions.
Executive checklist
What leaders should ask next
- Is the operating question narrow enough to support a decision?
- Are cohort, window, definition, source vintage, and coverage visible?
- Which statements are facts, hypotheses, assumptions, or management judgments?
- What was decided, by whom, and with what dissent or limitation?
- Which measure will return at the next review, and when?
Interpretation boundary
Limits to keep visible
- This is the sanalytics operating review framework, not a claimed universal industry standard.
- A review can organize evidence and accountability; it cannot manufacture complete data or causal proof.
- Clinical decisions and patient-level recommendations remain outside this executive operating framework.
Authoritative references
Sources and method notes
- National Institute of Standards and Technology: AI Risk Management Framework
Voluntary framework for managing AI risk, roles, and accountability. Accessed August 19, 2026.