Patient-generated health data management and quality challenges in remote patient monitoring
Open accessAbstract
Background: Patient-Generated Health Data (PGHD) in remote monitoring programs is a promising source of precise, personalized data, encouraged by expanding growth in the health technologies market. However, PGHD utilization in clinical settings is low. One of the critical challenges that impedes confident clinical use of PGHD is that these data are not managed according to any recognized approach for data quality assurance. Objective: This article aims to identify the PGHD management and quality challenges that such an approach must address, as these are expressed by key PGHD stakeholder groups. Materials and Methods: In-depth interviews were conducted with 20 experts who have experience in the use of PGHD in remote patient monitoring, including: healthcare providers, health information professionals within clinical settings, and commercial providers of remote monitoring solutions. Participants were asked to describe PGHD management processes in the remote monitoring programs in which they are involved, and to express their perspectives on PGHD quality challenges during the data management stages. Results: The remote monitoring programs in the study did not follow clear PGHD management or quality assurance approach. Participants were not fully aware of all the considerations of PGHD quality. Digital health literacy, wearable accuracy, difficulty in data interpretation, and lack of PGHD integration with electronic medical record systems were among the key challenges identified that impact PGHD quality. Conclusion: Co-development of PGHD quality guidelines with relevant stakeholders, including patients, is needed to ensure that quality remote monitoring data from wearables is available for use in more precise and personalized patient care.
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Numerous studies have highlighted the benefits of remote patient monitoring between clinic visits in detecting health deterioration earlier and enabling prompt intervention, particularly for individuals with chronic conditions.
“Numerous studies have highlighted the benefits of remote patient monitoring between clinic visits in detecting health deterioration earlier and enabling prompt intervention, particularly for individuals with chronic conditions [44–50].”
From Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: Findings from a pilot clinical trial (2025) · cites this paper as [46]
Studies on remote patient monitoring confirm the importance of HCP involvement with digital tools.
“Studies on remote patient monitoring confirm the importance of HCP involvement with digital tools [44–48].”
From Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: Findings from a pilot clinical trial (2025) · cites this paper as [46]
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- Authors
- Abdolkhani, R., Gray, K., Borda, A., & DeSouza, R.
- Affiliations
- The University of Melbourne (AU)
- Corresponding author
- Abdolkhani, Robab
- Venue
- JAMIA Open
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-09-20
- Volume
- 2
- Issue
- 4
- Pages
- 471-478
- ISSN
- 2574-2531 (ISSN-L)
- PMC
- PMC6993998
- OpenAlex
- W2974262067
- Cited by
- 127
- References
- 26
- Citations by year
- 2026: 14 · 2025: 22 · 2024: 15 · 2023: 21 · 2022: 23 · 2021: 17 · 2020: 13 · 2019: 1
- FWCI
- 14.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- JAMIA Open (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc)
- RMIT Research Repository (RMIT University Library) (submittedVersion, other-oa)
- Funders
- University of Melbourne
- 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 › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- patient-generated health data, remote patient monitoring, data quality assurance, data management, wearable devices, digital health literacy, electronic health record integration, data interpretation, quality guidelines, stakeholder perspectives
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