Literature DB >> 2407933

The Delphi method to validate diagnostic knowledge in computerized ECG interpretation.

J A Kors1, A C Sittig, J H van Bemmel.   

Abstract

We investigated the applicability of the Delphi method for increasing the agreement among multiple cardiologists on, firstly, their classifications of a set of electrocardiograms and, secondly, their reasons for these classifications. Five cardiologists were requested to judge the computer classifications of a set of thirty ECGs. If a cardiologist disagreed with the computer classification, he had to provide a new classification and a reason for this change. The results of this first round were compiled and anonymously fed back to the cardiologists. In a second round the cardiologists were asked once again to judge the ECGs and to rate the reasons provided in the first round. The level of agreement was estimated by means of the kappa statistic. The Delphi procedure substantially increased the agreement on the classifications among the cardiologists. The final agreement was very high and comparable with the intraobserver agreement. There was also a high level of agreement on the reasons provided by the cardiologists. However, their use in improving the program's performance is hampered by the qualitative nature of many of the reasons. Suggestions are given for a more formalized elicitation of knowledge.

Mesh:

Year:  1990        PMID: 2407933

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

1.  Reference standards, judges, and comparison subjects: roles for experts in evaluating system performance.

Authors:  George Hripcsak; Adam Wilcox
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

2.  Building and evaluation of a structured representation of pharmacokinetics information presented in SPCs: from existing conceptual views of pharmacokinetics associated with natural language processing to object-oriented design.

Authors:  Catherine Duclos-Cartolano; Alain Venot
Journal:  J Am Med Inform Assoc       Date:  2003-01-28       Impact factor: 4.497

3.  Plus disease in retinopathy of prematurity: pilot study of computer-based and expert diagnosis.

Authors:  Rony Gelman; Lei Jiang; Yunling E Du; M Elena Martinez-Perez; John T Flynn; Michael F Chiang
Journal:  J AAPOS       Date:  2007-10-29       Impact factor: 1.220

4.  Plus disease in retinopathy of prematurity: an analysis of diagnostic performance.

Authors:  Michael F Chiang; Rony Gelman; Lei Jiang; M Elena Martinez-Perez; Yunling E Du; John T Flynn
Journal:  Trans Am Ophthalmol Soc       Date:  2007
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.