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

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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

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.