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Patient-generated health data earn a seat at the table: clinical adoption during the COVID-19 transition to telemedicine.
Rosner, Benjamin I; Kvedar, Joseph C; Adler-Milstein, Julia.
  • Rosner BI; Division of Hospital Medicine, Center for Clinical Informatics and Improvement Research, University of California San Francisco, San Francisco, California, USA.
  • Kvedar JC; Department of Dermatology, Harvard Medical School, Mass General Brigham, Boston, Massachusetts, USA.
  • Adler-Milstein J; Division of Hospital Medicine, Center for Clinical Informatics and Improvement Research, University of California San Francisco, San Francisco, California, USA.
JAMIA Open ; 4(4): ooab097, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1584260
ABSTRACT
Patient-generated health data (PGHD) have not achieved widespread clinical adoption. However, the COVID-induced shift to telemedicine may have created opportunities for PGHD as surrogates for vital signs collected in person. We assessed whether this shift was associated with greater ambulatory care PGHD use. We conducted an interrupted time series analysis of physician enrollment in, and patient-initiated vital sign transmission of non-COVID-associated PGHD through, a national PGHD platform (Validic). Ten health systems, 4695 physicians, and 51 320 patients were included. We found a significant increase in physician enrollment (slope change of 0.86/week, P = .02). Platform application programming interface calls continued their pre-COVID upward trend, despite large reductions in overall encounters. These findings suggest significantly greater pandemic-associated clinical demand for PGHD, and patient supply disproportionate to encounter rates. Increasing clinical use and ongoing efforts to reduce barriers, could help seize current adoption momentum to realize PGHD's potential value.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: JAMIA Open Year: 2021 Document Type: Article Affiliation country: Jamiaopen

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: JAMIA Open Year: 2021 Document Type: Article Affiliation country: Jamiaopen