Published on in Vol 7, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16969, first published .
Designing a Clinician-Facing Tool for Using Insights From Patients’ Social Media Activity: Iterative Co-Design Approach

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

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

Journals

  1. Kelly D, Spaderna M, Hodzic V, Nair S, Kitchen C, Werkheiser A, Powell M, Liu F, Coppersmith G, Chen S, Resnik P. Blinded Clinical Ratings of Social Media Data are Correlated with In-Person Clinical Ratings in Participants Diagnosed with Either Depression, Schizophrenia, or Healthy Controls. Psychiatry Research 2020;294:113496 View
  2. Yin A, Gheissari P, Lin I, Sobolev M, Pollak J, Cole C, Estrin D. Role of Technology in Self-Assessment and Feedback Among Hospitalist Physicians: Semistructured Interviews and Thematic Analysis. Journal of Medical Internet Research 2020;22(11):e23299 View
  3. Saha K, Torous J, Caine E, De Choudhury M. Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media. Journal of Medical Internet Research 2020;22(11):e22600 View
  4. Yechiam E, Yom-Tov E. Unique Internet Search Strategies of Individuals With Self-Stated Autism: Quantitative Analysis of Search Engine Users’ Investigative Behaviors. Journal of Medical Internet Research 2021;23(7):e23829 View
  5. Yoo D, Ernala S, Saket B, Weir D, Arenare E, Ali A, Van Meter A, Birnbaum M, Abowd G, De Choudhury M. Clinician Perspectives on Utilizing Computational Mental Health Insights from Patient Social Media: Design and Qualitative Evaluation of a Prototype (Preprint). JMIR Mental Health 2020 View