4.10 — Healthcare operations (non-diagnostic indices)
- Scenario. Fragile ratios trigger alarm fatigue and unnecessary follow-up.
- Inputs. Operational indices (not clinical diagnosis) with alignments from data completeness.
- Behavior. Values report as usual; the lane highlights fragile periods to operators.
- Week-1 pilot. Add bands to dashboards; keep protocols unchanged.
- KPIs & acceptance. Fewer nuisance alarms, faster triage, no loss of signal visibility.
- Calculator-fast example.
Givena_f = +0.5,a_g = +0.2u_diff = 0.5493061443 - 0.2027325541 = 0.3465735902a_div = tanh(u_diff) = 0.3333333333
4.11 — Analytics & finance (aggregate confidence)
- Scenario. Cohort roll-ups lose trust due to order effects and noisy denominators.
- Inputs. Totals/ratios with alignments per source; weights reflect magnitude.
- Behavior. Order-invariant confidence accompanies totals; ratios show bounded strength.
- Week-1 pilot. Publish roll-up confidence; band alerts on fragile ratios.
- KPIs & acceptance. Fewer reversals after backfills; cleaner executive dashboards.
- Calculator-fast example.
Given(m1,a1) = (10,+0.8),(m2,a2) = (5,-0.6), weightsw = |m| = {10,5}u1 = atanh(0.8) = 1.0986122886681098u2 = atanh(-0.6) = -0.6931471805599453U = 10*u1 + 5*u2 = 7.520386983881371;W = 15a_out = tanh(U/W) = tanh(0.5013591322587581) = 0.4631853721633224
4.12 — Cybersecurity & ops (banded anomalies)
- Scenario. Noisy denominators and partial evidence flood triage queues.
- Inputs. Anomaly scores and rates with alignments from data coverage.
- Behavior. Bands tier escalation; values remain visible.
- Week-1 pilot. Introduce banded thresholds; log pre/post volumes.
- KPIs & acceptance. Fewer false escalations; faster response on strong evidence.
- Calculator-fast example (template).
Givena_rate = +0.4,a_score = +0.3a_fused = tanh( atanh(0.4) + atanh(0.3) ) = 0.625
Policy hint: escalate only if band in{A-, A--}forMconsecutive windows.
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SSMH – Table of Contents