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MMadical AI Use
例示病院

A home signal that prompts a heart-failure nurse to call

この言語の本文は未訳のため、英語で表示しています。

例示シナリオです。計画用の合成であり、特定の査読試験の報告ではありません。

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.

臨床の場

A heart-failure clinic that already enrolls selected patients in home monitoring and staffs a nurse to review the queue on weekdays.

ツールとベンダー

  • Home weight and blood pressure
  • Clinic message pool

出典

Illustrative composite, Madical AI Use · 2026年4月22日 · 年 2026

索引への追加 2026年4月22日

出典を開く

タグ

  • 遠隔ケア
  • 看護
  • 早期警告

教育と市場把握のための条目。医療助言でも推奨でもありません。

関連シナリオ

この領域のすべて

遠隔モニタリング

例示

A weekly glucose-pattern note for the diabetes visit

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.

Continuous glucose monitor export · Clinic inbox

病院 · 2026事例を読む

臨床意思決定支援

論文

TREWS sepsis early warning on the inpatient ward

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.

TREWS · Bayesian Health

論文 · 2022事例を読む

臨床意思決定支援

論文

External validation of a widely deployed sepsis model

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.

Epic Sepsis Model

論文 · 2021事例を読む
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