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

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

  • 1Department of Medical Informatics, Faculty of Medicine and Health Sciences, Erasmus University, Rotterdam, The Netherlands.

Methods of Information in Medicine
|January 1, 1990
PubMed
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The Delphi method significantly improved agreement among cardiologists classifying electrocardiograms (ECGs). This consensus-building approach enhanced both ECG interpretations and the reasoning behind them, achieving high agreement levels.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Decision Analysis

Background:

  • Cardiologist agreement on electrocardiogram (ECG) interpretation can vary.
  • Computer-assisted ECG classification requires expert validation and refinement.
  • The Delphi method is a structured communication technique for consensus building.

Purpose of the Study:

  • To assess the Delphi method's effectiveness in enhancing inter-cardiologist agreement on ECG classifications.
  • To evaluate the Delphi method's impact on agreement regarding the rationale behind ECG classifications.
  • To explore the potential for improving computer-assisted ECG analysis through expert consensus.

Main Methods:

  • Five cardiologists reviewed computer-generated ECG classifications for 30 ECGs.

Related Experiment Videos

  • Disagreements prompted cardiologists to provide alternative classifications and justifications.
  • A two-round Delphi process involved anonymous feedback and reassessment of classifications and reasons.

    • Main Results:

    • The Delphi procedure substantially increased agreement on ECG classifications among cardiologists.
    • Final agreement levels were very high, comparable to intra-observer reliability.
    • High agreement was also observed for the reasons provided by cardiologists.

    Conclusions:

    • The Delphi method is effective in achieving high consensus among cardiologists for ECG classification.
    • While agreement on reasoning was high, its qualitative nature limits direct program improvement.
    • Formalized knowledge elicitation methods are suggested for enhancing computer-assisted diagnostic tools.