跳到正文
MMadical AI Use
示意性醫院

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

此語言的正文尚未翻譯,暫以英文顯示。

示意性情境。這是供規劃用的組合示例,不是某項同行評議試驗的報告。

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.

臨床場景

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

工具與廠商

  • Home weight and blood pressure
  • Clinic message pool

來源

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

收入索引 2026年4月22日

打開來源

標籤

  • 遠程照護
  • 護理
  • 早期預警

供教育和市場掃描的目錄條目。不是醫療建議,也不是背書。

遠程監測

示意性

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

醫院 · 2026閱讀案例

臨床決策支援

已發表

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閱讀案例

臨床決策支援

已發表

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閱讀案例
贊助

向閱讀本目錄的臨床與健康科技讀者展示。

查看贊助