Use of patient-generated health data across healthcare settings: implications for health systems.

data integration digital health electronic health data patient health data

Journal

JAMIA open
ISSN: 2574-2531
Titre abrégé: JAMIA Open
Pays: United States
ID NLM: 101730643

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 23 01 2019
revised: 13 09 2019
accepted: 09 12 2019
entrez: 2 7 2020
pubmed: 2 7 2020
medline: 2 7 2020
Statut: epublish

Résumé

The growing prevalence of chronic conditions requiring changes in lifestyle and at-home self-management has increased interest in and need for supplementing clinic visits with data generated by patients outside the clinic. Patient-generated health data (PGHD) support the ability to diagnose and manage chronic conditions, to improve health outcomes, and have the potential to facilitate more "connected health" between patients and their care teams; however, health systems have been slow to adopt PGHD use in clinical care. We surveyed current and potential users of PGHD to catalog how PGHD is integrated into clinical care at an academic health center. The survey included questions about data type, method of collection, and clinical uses of PGHD. Current users were asked to provide detailed case studies of PGHD use in research and care delivery. Thirty-one respondents completed the survey. Seventeen individuals contributed detailed case studies of PGHD use across diverse areas of care, including behavioral health, metabolic and gastrointestinal conditions, musculoskeletal/progressive functional conditions, cognitive symptoms, and pain management. Sensor devices and mobile technologies were the most commonly reported platforms for collection. Clinicians and researchers involved in PGHD use cited the potential for PGHD to enhance care delivery and outcomes, but also indicated substantial barriers to more widespread PGHD adoption across healthcare systems. The results of our survey illustrate how PGHD is used in targeted areas of one healthcare system and provide meaningful insights that can guide health systems in supporting the widespread use of PGHD in care delivery.

Identifiants

pubmed: 32607489
doi: 10.1093/jamiaopen/ooz065
pii: ooz065
pmc: PMC7309248
doi:

Types de publication

Journal Article

Langues

eng

Pagination

70-76

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association.

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Auteurs

Elizabeth Austin (E)

Department of Surgery, University of Washington, Seattle, Washington, USA.

Jenney R Lee (JR)

Department of Surgery, University of Washington, Seattle, Washington, USA.

Dagmar Amtmann (D)

Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA.

Rich Bloch (R)

Digital Healthcare I/O, Snohomish, Washington, USA.

Sarah O Lawrence (SO)

Department of Surgery, University of Washington, Seattle, Washington, USA.

Debbe McCall (D)

Rowan Tree Perspectives, LLC, Murietta, California, USA.

Sean Munson (S)

Department of Human Centered Design & Engineering, University of Washington, Seattle, Washington, USA.

Danielle C Lavallee (DC)

Department of Surgery, University of Washington, Seattle, Washington, USA.

Classifications MeSH