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Developing a Standards-Based Information Model for Representing Computable Diagnostic Criteria: A Feasibility Study
Guoqian Jiang1, Harold R Solbrig1, Jyotishman Pathak1
1Mayo Clinic College of Medicine, Rochester, MN, USA.
Studies in Health Technology and Informatics
|August 12, 2015
Summary
The Quality Data Model (QDM) shows promise for creating computable diagnostic criteria. This standards-based approach is feasible for representing disease criteria, improving data interoperability.
Area of Science:
- Health Informatics
- Medical Informatics
- Clinical Data Standards
Background:
- Lack of a standards-based information model hinders computable diagnostic criteria representation.
- Existing systems struggle with consistent and computable diagnostic information.
Purpose of the Study:
- To assess the feasibility of the Quality Data Model (QDM) for representing computable diagnostic criteria.
- To explore the utility of QDM in standardizing diagnostic information.
Main Methods:
- Collected diagnostic criteria for 12 diseases/disorders from textbooks.
- Profiled these criteria using QDM data elements.
- Identified common patterns within the diagnostic criteria based on QDM.
Main Results:
- Identified common data element patterns within diagnostic criteria.
- Demonstrated the applicability of QDM to diverse disease diagnostic criteria.
- QDM facilitated a structured approach to representing complex medical information.
Conclusions:
- The Quality Data Model (QDM) is a feasible and useful tool for representing computable diagnostic criteria.
- QDM-based patterns can inform the development of a standards-based information model.
- This approach supports improved data interoperability and clinical decision support.