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Related Experiment Video

Updated: May 25, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Online survey system for image-based clinical guideline studies using the Delphi method.

Todd M Harper1, Chia-Chi Teng

  • 1Brigham Young University, Provo, UT 84602, USA. toddharp@byu .net

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary

This study introduces a web-based system for image-based Delphi studies, streamlining the creation of clinical guidelines. This technology aims to improve healthcare quality and clinical decision-making through efficient data analysis.

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Area of Science:

  • Health Informatics
  • Medical Imaging
  • Clinical Decision Support

Background:

  • Health Information Technology (HIT) adoption is rising to enhance healthcare quality and efficiency.
  • Clinical decision support systems are crucial for the meaningful use of HIT.
  • Clinical guidelines, often developed via expert consensus methods like Delphi, aid physician decision-making.

Purpose of the Study:

  • To propose a web-based system for conducting image-based Delphi studies.
  • To facilitate the creation of standardized clinical guidelines using medical imagery.
  • To improve clinical decision support through enhanced guideline development.

Main Methods:

  • Development of a web-based platform for image-based Delphi studies.
  • Utilizing expert consensus through surveys for guideline creation.
  • Focusing on image analysis for standardization of clinical classifications.

Main Results:

  • The proposed system addresses the impracticality of traditional paper-based image studies.
  • Aims to reduce the cost and time associated with developing clinical guidelines.
  • Facilitates more efficient and standardized guideline creation.

Conclusions:

  • Web-based image-based Delphi studies offer a practical solution for guideline development.
  • This approach can significantly improve the quality and accessibility of clinical guidelines.
  • The system supports better clinical decision-making and healthcare quality improvement.