Organizational strategies for promoting patient and provider uptake of personal health records
Open accessAbstract
Objective To investigate organizational strategies to promote personal health records (PHRs) adoption with a focus on patients with chronic disease. Methods Using semi-structured interviews and a web-based survey, we sampled US health delivery organizations which had implemented PHRs for at least 12 months, were recognized as PHR innovators, and had scored highly in national patient satisfaction surveys. Respondents had lead positions for clinical information systems or high-risk population management. Using grounded theory approach, thematic categories were derived from interviews and coupled with data from the survey. Results Interviews were conducted with 30 informants from 16 identified organizations. Organizational strategies were directed towards raising patient awareness via multimedia communications, and provider acceptance and uptake. Strategies for providers were grouped into six main themes: organizational vision, governance and policies, work process redesign, staff training, information technology (IT) support, and monitoring and incentives. Successful organizations actively communicated their vision, engaged leaders at all levels, had clear governance, planning, and protocols, set targets, and celebrated achievement. The most effective strategy for patient uptake was through health professional encouragement. No specific outreach efforts targeted patients with chronic disease. Registration and PHR activity was routinely measured but without reference to a denominator population or high risk subpopulations. Discussion and conclusion Successful PHR implementation represents a social change and operational project catalyzed by a technical solution. The key to clinician acceptance is making their work easier. However, organizations will likely not achieve the value they want from PHRs unless they target specific populations and monitor their uptake.
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Patients' expectations of eHealth depend not only on the technology but also on how general practices offer, promote, and use it.
“Patients’ expectations are not only dependent on the technology but also on the way in which general practices offer, promote, and use it [22,23].”
From Lessons Learned From a Living Lab on the Broad Adoption of eHealth in Primary Health Care (2018) · cites this paper as [22]
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van der Smissen, D., Leenen-Brinkhuis, C., Janssens, K. M. E., Porte, P. J., van Assen, M. A. L. M., & Weggelaar‐Jansen, A. M. (2025) · Journal of Medical Internet Research · doi:10.2196/71915
- Authors
- Wells, S., Rozenblum, R., Park, A., Dunn, M., & Bates, D. W.
- Affiliations
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Corresponding author
- Wells, Susan
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-10-17
- Volume
- 22
- Issue
- 1
- Pages
- 213-222
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC4433381
- OpenAlex
- W2110709878
- Cited by
- 67
- References
- 36
- Citations by year
- 2025: 3 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 7 · 2020: 4 · 2019: 9 · 2018: 9 · 2017: 10 · 2016: 7 · 2015: 6
- FWCI
- 13.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Commonwealth Fund
- National Heart Foundation of New Zealand
- Health Research Council of New Zealand
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- personal health records, organizational strategy, patient adoption, provider acceptance, chronic disease, clinical information systems, workflow redesign, employee training, patient awareness, health information technology implementation
- MeSH terms
- Chronic Disease, Humans, Interviews as Topic, Organizational Innovation, Health Records, Personal, Workflow, Electronic Health Records
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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