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A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

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Evaluating online diagnostic decision support tools for the clinical setting.

Marie Pryor¹, David White, Bronwyn Potter

¹Health Support Services, NSW Health, Sydney, Australia.

Studies in Health Technology and Informatics

|July 17, 2012

Summary

This study evaluated 11 diagnostic decision support (DDS) tools, finding that diagnostic accuracy, ease of use, and credibility were key factors. Best Practice ranked highest, demonstrating the effectiveness of clinical case scenarios in assessing DDS tool usability.

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Area of Science:

Medical Informatics
Clinical Decision Support Systems
Health Technology Assessment

Background:

Clinical decision support (DDS) tools enhance clinician decision-making and patient outcomes.
Commercially available online DDS tools require rigorous evaluation for point-of-care use.

Purpose of the Study:

To develop and apply a methodology for evaluating commercial online diagnostic decision support (DDS) tools.
To identify the most effective DDS tools for clinical practice.

Main Methods:

Evaluated 11 DDS tools using a comprehensive instrument covering general information, content, quality control, search, clinical results, and features.
Developed diagnostically challenging clinical case scenarios based on real patient experiences.
Conducted a two-phase evaluation: initial screening by the CIAP team and in-depth assessment of top tools by a clinician panel.

Main Results:

Only 4 of 11 tools met the DDS definition and provided differential diagnoses.
Initial phase scores varied: content (4 tools ≥70%), quality control (8 tools ≥65%), search (5 tools ≥65%), clinical results (4 tools ≥70%).
Best Practice ranked highest in the second phase, with diagnostic accuracy, ease of use, and information credibility differentiating the top tools.

Conclusions:

The developed evaluation methodology effectively identified high-quality DDS tools for clinical settings.
Clinical case scenarios are crucial for assessing the diagnostic accuracy and usability of DDS tools.