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
mindLAMPVis is a tailored tool designed for use in India, but it can aid in identifying and comparing behavioral patterns that may indicate clinical risk for patients in any country. mindLAMPVis offers an example of how, through technical design, feedback, and real-world clinical testing, it is feasible to adapt current software tools to meet local needs and even exceed the use cases of the original technology. mindLAMPVis also successfully incorporates both active and passive digital phenotyping data.
Authors
- Urvakhsh Meherwan Mehta (ORCID: https://orcid.org/0000-0002-2252-9189)
- Asher Cohen
- Preethi V. Reddy (ORCID: https://orcid.org/0000-0002-7229-1869)
- John Blake Torous (ORCID: https://orcid.org/0000-0002-5362-7937)
- Srilakshmi Nagendra
- Soumya Choudhary (ORCID: https://orcid.org/0000-0002-7522-6923)
- Jaya Sreevalsan‐Nair (ORCID: https://orcid.org/0000-0001-6333-4161)
- Karthik Sama
Institutions
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- International Institute of Information Technology Bangalore (IN)
- National Institute of Advanced Studies (IN)
- National Institute of Mental Health and Neurosciences (IN)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-05-05
- DOI
- https://doi.org/10.2196/70073
- Citations
- 1
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 1.28
Funders
- Wellcome Trust