Electronic Screening of Dictated Reports to Identify Patients with Do-Not-Resuscitate Status | Zendy

Dominik Aronsky | Zendy; Evelyn Kasworm | Zendy; Jay A. Jacobson | Zendy; Peter J. Haug | Zendy; Nathan C. Dean | Zendy

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Electronic Screening of Dictated Reports to Identify Patients with Do-Not-Resuscitate Status

Author(s) -

Dominik Aronsky,

Evelyn Kasworm,

Jay A. Jacobson,

Peter J. Haug,

Nathan C. Dean

Publication year - 2004

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m1518

Subject(s) - medicine , do not resuscitate , cardiopulmonary resuscitation , chart , resuscitation orders , medical record , power of attorney , emergency medicine , do not resuscitate order , medical emergency , documentation , intensive care medicine , resuscitation , health care , surgery , computer science , statistics , mathematics , economics , economic growth , programming language

Do-not-resuscitate (DNR) orders and advance directives are increasingly prevalent and may affect medical interventions and outcomes. Simple, automated techniques to identify patients with DNR orders do not currently exist but could help avoid costly and time-consuming chart review. This study hypothesized that a decision to withhold cardiopulmonary resuscitation would be included in a patient's dictated reports. The authors developed and validated a simple computerized search method, which screens dictated reports to detect patients with DNR status.

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