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Delphi methodology in healthcare research: How to decide its appropriateness

📅 Published: July 19, 2021 👤 Prashant Nasa, Ravi Jain, Deven Juneja 📖 World Journal of Methodology 📊 1,642 citations
AI-Generated Summary

The Delphi technique is a systematic process of forecasting using the collective opinion of panel members. There was inconsistency in reporting vital elements of Delphi methods such as identification of panel members, defining consensus, closing criteria for rounds, and presenting the results.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 The structured method of developing consensus among panel members using Delphi methodology has gained acceptance in diverse fields of medicine.
  • 2 The Delphi methods assumed a pivotal role in the last few decades to develop best practice guidance using collective intelligence where research is limited, ethically/logistically difficult or evidence is conflicting.
  • 3 However, the attempts to assess the quality standard of Delphi studies have reported significant variance, and details of the process followed are usually unclear.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jul 19, 2021
Journal World Journal of Methodology
DOI 10.5662/wjm.v11.i4.116
Citations 1,642
Authors Prashant Nasa, Ravi Jain, Deven Juneja