A home signal that prompts a heart-failure nurse to call
Ce texte est en anglais tant qu une traduction n est pas publiée.
Scénario illustratif. Composite pour la planification, pas le rapport d un essai précis.
This is an illustrative composite, not a trial report. Daily weight, blood pressure, and a short symptom check land in a pool. A simple model ranks who should be called today when the heart-failure nurse starts the shift. The nurse places the call and decides on a diuretic plan with the covering clinician. The scenario deliberately stops before any claim that admissions fell. Device trials of hemodynamic monitors are a different evidence base and are not borrowed here.
Cadre clinique
A heart-failure clinic that already enrolls selected patients in home monitoring and staffs a nurse to review the queue on weekdays.
Outils et fournisseurs
Home weight and blood pressure
Clinic message pool
Source
Illustrative composite, Madical AI Use · 22 avr. 2026 · Année 2026
This is an illustrative composite, not a trial report. Before a diabetes visit, software drafts a short note from a continuous glucose export: time in range, overnight lows, and the days that look different. The clinician edits it and decides any change in insulin. The scenario excludes autonomous dosing. Closed-loop insulin systems are regulated devices with their own labels and are not this workflow.
The Targeted Real-time Early Warning System (TREWS) watches the electronic record and asks a clinician to confirm or dismiss a possible sepsis alert. It was studied prospectively across five hospitals, not as a silent background score. The published association depends on a person acting on the alert within a few hours. It does not diagnose sepsis by itself.
The Epic Sepsis Model is a proprietary score switched on in a large number of U.S. hospitals. Researchers at Michigan Medicine compared it with sepsis in their own hospitalizations, instead of relying on the vendor performance sheet. The paper is included here because a familiar model can still fail local validation. Widespread deployment is not the same thing as demonstrated usefulness.