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对地理知识了解不多?疑似高后果传染病患者评估的决策支持。

Don't know much about geography? Decision support for the evaluation of patients with suspected high consequence infectious diseases.

作者信息

Lazarus Jacob E, Jerry Michelle S, Germaine Lindsay, Green Chloe V, Parente Jason, Searle Eileen F, Shenoy Erica S

机构信息

Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.

Harvard Medical School, Boston, MA, USA.

出版信息

Antimicrob Steward Healthc Epidemiol. 2025 Sep 1;5(1):e192. doi: 10.1017/ash.2025.10038. eCollection 2025.

Abstract

EvalHCID is a clinical decision support system integrating outbreak intelligence, symptom onset, and epidemiologic risk factors to identify high consequence infectious diseases (HCIDs) (eg, Ebola). Tested among 20 emergency department (ED) providers, it significantly reduced assessment time, lowered misclassification, and scored "excellent" usability. EvalHCID may improve institutional preparedness and patient outcomes for emerging infectious disease threats.

摘要

EvalHCID是一个临床决策支持系统,它整合了疫情情报、症状出现情况和流行病学风险因素,以识别高后果传染病(如埃博拉)。在20名急诊科医护人员中进行了测试,它显著缩短了评估时间,降低了错误分类,并获得了“优秀”的可用性评分。EvalHCID可能会提高机构对新发传染病威胁的防范能力和患者的治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c0/12415783/094eb79e09f2/S2732494X25100387_fig1.jpg

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