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Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43954, first published .
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Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Journals

  1. Sama K, Sreevalsan-Nair J, Choudhary S, Nagendra S, Reddy P, Cohen A, Mehta U, Torous J. mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation. JMIR Formative Research 2025;9:e70073 View
  2. Wang X, Yang D, Yu S, Zhuang Y. Development of a personal health management system integrating digital twin technology and smart wearables in China. Frontiers in Public Health 2025;13 View
  3. Astill Wright L, Majid M, Shajan G, Momoh G, Patil R, Rawsthorne M, Purewal D, Patel S, Morriss R. The user experience of ambulatory assessment and mood monitoring in depression: a systematic review & meta-synthesis. npj Digital Medicine 2025;8(1) View
  4. Astill Wright L, Rawsthorne M, Nixon N, Guo B, Morriss R. Recommendations for Research and Clinical Implementation of Ambulatory Assessment, Mood Monitoring, Digital Phenotyping, and Remote Measurement Technology in Mood Disorders: Synthesis of Systematic Review Findings. JMIR Mental Health 2026;13:e79501 View