How well does decision support software perform in the emergency department?
Objective: To determine how well general decision support systems perform given the data collected in an emergency department (ED).Methods: A convenience sample of 25 patients was selected from those patients having a diagnostic question on presentation to the ED. All interactions with the patients...
| Publicado en: | Emergency Medicine Journal (EMJ) pp. 426 - 429 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
BMJ Publishing Group
Sep2003
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106723317&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106723317 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14720205 I6E jtl: Emergency Medicine Journal (EMJ) issn: 14720205 maglogo: N pubinfo: dt: Sep2003 pid: 8280 pub: BMJ Publishing Group artinfo: ui: 106723317 106723317 NLM12954680 66881550 10.1136/emj.20.5.426 NLM12954680 106723317 ppf: 426 ppct: 3 formats: tig: atl: How well does decision support software perform in the emergency department? aug: au: Graber MA VanScoy D Graber, M A VanScoy, D affil: Department of Emergency Medicine, University of Iowa College of Medicine, Iowa City, USA sug: subj: Decision Making, Clinical Diagnosis, Computer Assisted Evaluation Emergency Service Iowa Academic Medical Centers Iowa Comparative Studies Convenience Sample Descriptive Statistics Diagnosis, Differential Emergency Medicine Iowa Physicians Human ab: Objective: To determine how well general decision support systems perform given the data collected in an emergency department (ED).Methods: A convenience sample of 25 patients was selected from those patients having a diagnostic question on presentation to the ED. All interactions with the patients were audiotaped and abstracted into a structured data form. All other data such as written notes, laboratory, and EKG results were also abstracted. All data were entered into two general diagnostic decision support programs (Quick Medical Reference (QMR Version 3.82, Knowledge Base 10-07-1998 Copyright University of Pittsburgh and The Hearst Corporation) and Iliad (Version 4.5 Copyright 1996 Applied Medical Informatics)). The diagnoses generated by the computer programs were compared with the final diagnoses of the ED attending.Results: The final ED diagnosis was found in the differential diagnosis generated by Iliad and QMR 72% and 52% of the time respectively. The final ED diagnosis was found in the top 10 diagnoses 51% and 44% of the time and in the top five diagnoses 36% and 32% of the time for each program respectively. This approximates to the performance of these programs in other clinical settings.Conclusions: Diagnostic decision support software has the same success in finding the "correct" diagnosis in the ED as in other clinical settings where more extensive clinical data are available. The accuracy is not sufficiently high to permit the use of these programs as an arbiter in any individual case. However, they may be useful, prompting additional investigation in particularly difficult cases. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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