Who needs help right now?
A risk score tells you who. Acuity tells you why.
Acuity does more than rank patients. It identifies the clinical state changes, contributing evidence and longitudinal patterns that explain why a person needs attention now.
RPM trend
Clinical evidence
CHI longitudinal signal
Five questions behind every meaningful priority change.
“Why” is the bridge between data and clinical action. Acuity preserves enough context to answer the questions a clinician naturally asks before intervening.
Identify new or worsening evidence relative to the patient's recent and longitudinal state.
Show the body system, condition, symptom, vital, lab, medication or encounter signal contributing most.
Preserve the underlying evidence, source, timing and provenance rather than presenting an unexplained score.
Place the change in temporal context: new event, persistent abnormality, worsening trend or post-acute vulnerability.
Route the evidence into an appropriate, authorized clinical or operational workflow for human action.
The same value can mean different things in different patients.
Clinical meaning depends on baseline, direction of change, persistence, recent events and the rest of the patient's state. Acuity keeps those signals together instead of treating each data point as an isolated alert.
What is different from the patient's own recent state?
Is the signal improving, stable, oscillating or consistently worsening?
Are multiple independent signals pointing toward the same clinical problem?
Did the change occur after a discharge, medication change, procedure or other meaningful event?
Weight, edema, blood pressure, symptoms, medications and encounters.
Dyspnea, oxygenation, respiratory data and pulmonary diagnoses.
Kidney-related laboratory trends, diagnoses, medications and fluid context.
Mobility, falls, ADLs and other indicators of change in day-to-day capability.
Acuity is designed to make priority actionable.
A ranked list can tell a team where to look. It cannot, by itself, tell the team what they are looking for.
Traditional risk alert
Acuity's “why”
A patient with heart failure moves up the population queue.
The important question is not simply whether the score changed. It is whether the clinician can understand the clinical basis for that change.
Why should remain traceable all the way back to evidence.
Acuity's architecture separates evidence, interpretation, reconciled state and clinician-authored truth. That boundary is what allows a clinical explanation to remain reviewable rather than becoming an opaque model conclusion.
What was received, from where, and when.
What deterministic or bounded computational logic inferred.
What has been resolved into the trusted longitudinal clinical state.
What the clinician documented, signed or changed.
Know who needs help. Know why. Know what to do next.
Acuity connects patient prioritization to the clinical evidence that explains it—and then to the workflow required to act.