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Designing a Clinician-Facing Tool for Using Insights From Patients' Social Media Activity: Iterative Co-Design Approach.

Dong Whi YooMichael Leo BirnbaumAnna R Van MeterAsra F RizviElizabeth ArenareGregory D AbowdMunmun De Choudhury
Published in: JMIR mental health (2020)
This exploratory co-design research confirmed that mental health attributes inferred from patients' social media data can be useful for clinicians, although it also revealed a gap between computational social media analyses and clinicians' expectations and conceptualizations of patients' mental health states. In summary, the iterative co-design process crystallized design directions for the future interface, including how we can organize and provide symptom-related information in a way that minimizes the clinicians' workloads.
Keyphrases
  • social media
  • mental health
  • health information
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • palliative care
  • magnetic resonance imaging
  • computed tomography
  • machine learning
  • electronic health record