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Updated: Jun 28, 2026
14:32
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
Improving care, improving performance, or just improving numbers?
1Jesse Brown Veterans Affairs Medical Center, Chicago, IL 60612, USA. daniel.luchins@va.gov
Psychiatric Services (Washington, D.C.)
|October 31, 2008
Summary
Computerized systems for mental health care lack empirical support. Non-quantitative methods may complement or correct these digital tools, highlighting the limitations of solely measuring outcomes.
Area of Science:
- Mental Health
- Health Informatics
- Clinical Psychology
Background:
- Review of literature on computerized systems in mental health care.
- Limited empirical evidence supports claims of assessment or improvement.
- Author's experience aligns with literature limitations.
Purpose of the Study:
- To critically evaluate the empirical support for computerized systems in mental health.
- To explore the role of non-quantitative methods in clinical care.
- To discuss the implications of measurement-driven changes in healthcare.
Main Methods:
- Literature review of computerized systems for mental health assessment and improvement.
- Synthesis of empirical evidence and author's practical experience.
- Argumentative analysis of quantitative vs. non-quantitative assessment methods.
Main Results:
- Scarcity of empirical data validating computerized mental health systems.
- Identified limitations in current digital health assessment tools.
- Potential for non-quantitative methods to enhance or rectify digital assessments.
Conclusions:
- Computerized mental health systems require more robust empirical validation.
- Non-quantitative assessment approaches offer valuable complementary and corrective functions.
- Over-reliance on measurable outcomes may distort actual clinical care improvements.
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