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The Future DSM: The Path Moving Forward
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Video Summary
The webinar, <strong>“The Future DSM: The Path Moving Forward,”</strong> introduced APA’s vision for a more comprehensive, flexible diagnostic system. Drs. Diana Clark, Maria Oquendo, and Jonathan Alpert explained that the future DSM aims to move beyond a narrow checklist of symptoms toward a <strong>person-centered diagnostic formulation</strong> that includes: - <strong>Core diagnosis and severity</strong> - <strong>Transdiagnostic symptoms</strong> such as anhedonia, apathy, and neurocognitive impairment - <strong>Contextual factors</strong> like socioeconomic, cultural, environmental, developmental, and medical influences - <strong>Functioning and quality of life</strong> - <strong>Validated biomarkers and biological factors</strong> as science advances The speakers reviewed criticisms of the current DSM, including its categorical structure, limited attention to context, and lack of biological integration. They emphasized that the new model is intended to improve clinical decision-making, research, and communication while reducing premature diagnostic closure. Examples showed how diagnoses may evolve over time through <strong>longitudinal assessment</strong>, and how the same symptoms can have different meanings depending on developmental stage or cultural context. The panel also highlighted health equity concerns, stressing that any new tools must be <strong>feasible, accessible, and useful in real-world clinical settings</strong>. In the Q&A, the panel discussed AI’s potential role in supporting a living, digitally enabled DSM, while noting the need for safeguards and clinical judgment. They also addressed questions about executive function, biomarker access, lifestyle factors, international collaboration, and how the new DSM may remain practical for clinicians across disciplines.
Keywords
Future DSM
APA
diagnostic system
person-centered diagnostic formulation
core diagnosis
severity
transdiagnostic symptoms
contextual factors
functioning
quality of life
biomarkers
longitudinal assessment
health equity
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