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Purposes and models of diagnostic systems
Juan E Mezzich1, Carlos E Berganza
1Division of Psychiatric Epidemiology and International Center for Mental Health, Mount Sinai School of Medicine, New York University, New York, NY 10029-6574, USA. juan.mezzich@mssm.edu
Psychopathology
|September 8, 2005
Summary
Developing new diagnostic systems requires a review of their meanings and purposes. Models must consider information domains, measurement tools, evaluators, and structural schemas for effective clinical care and public health.
Area of Science:
- Medical Informatics
- Health Systems Research
- Classification Systems
Background:
- International classification and diagnostic systems are undergoing development.
- A conceptual re-evaluation of diagnostic systems is necessary.
Purpose of the Study:
- To review and conceptualize the meanings, purposes, and models of diagnostic systems.
- To inform the development of new international classification and diagnostic systems.
Main Methods:
- Conceptual analysis of diagnostic system components.
- Review of informational domains, measurement tools, evaluators, and structural schemas.
Main Results:
- Diagnostic system meanings encompass informative statements and processes.
- Purposes include case understanding and planning clinical/public health interventions.
- Models must integrate diverse informational domains, descriptive tools, evaluators, and structural schemas.
Conclusions:
- A comprehensive approach is needed for designing effective diagnostic systems.
- Future systems should consider a broad range of factors from illness to positive health.
- Collaborative input from clinicians, patients, and families is crucial for model development.