Clinician Perspectives on Using Computational Mental Health Insights From Patients' Social Media Activities: Design and Qualitative Evaluation of a Prototype.
Dong Whi YooSindhu Kiranmai ErnalaBahador SaketDomino WeirElizabeth ArenareAsra F RizviAnna R Van MeterMichael Leo BirnbaumGregory D AbowdMunmun De ChoudhuryPublished in: JMIR mental health (2021)
Our findings support the touted potential of computational mental health insights from patients' social media account data, especially in the context of psychotherapy consultations. However, sociotechnical issues, such as transparent algorithmic information and institutional support, should be addressed in future endeavors to design implementable and sustainable technology.
Keyphrases
- social media
- mental health
- end stage renal disease
- health information
- newly diagnosed
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- healthcare
- primary care
- machine learning
- risk assessment
- climate change
- electronic health record
- general practice
- mental illness
- current status
- human health
- patient reported