ArticleJournal of the American Medical Informatics Association : JAMIA2019
Bridging the integration gap between patient-generated blood glucose data and electronic health records.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Remote symptom monitoring integrated into electronic health records: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Expanding Technology-Enabled, Nurse-Delivered Chronic Disease Care : A Pragmatic, Randomized, Effectiveness-Implementation Trial.Annals of internal medicine · 2026Trial
- Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2021Trial
- Evaluating Pharmacists' Time Collecting Self-Monitoring Blood Glucose Data.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023Article
- Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study.JMIR mHealth and uHealth · 2023Article
- Opportunities and Challenges of Integrating Food Practice into Clinical Decision-Making.Applied clinical informatics · 2022Article
- Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022Article
- Evaluation of the My Diabetes Care Patient Portal Intervention: Protocol for a Pilot Randomized Controlled Trial.JMIR research protocols · 2021Article
- Patient-generated health data and electronic health record integration: a scoping review.JAMIA open · 2020Article
- Selecting Mobile Health Technologies for Electronic Health Record Integration: Case Study.Journal of medical Internet research · 2020Article
- Self-Management Behaviors of Patients with Type 1 Diabetes: Comparing Two Sources of Patient-Generated Data.Applied clinical informatics · 2020Article
- Towards an effective framework for integrating patient-reported outcomes in electronic health records.Digital healthArticle
- Disentangling Population Health Management Initiatives in Diabetes Care: A Scoping Review.International journal of integrated careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Telemedicine can facilitate population health management by extending the reach of providers to efficiently care for high-risk, high-utilization populations. However, for telemedicine to be maximally useful, data collected using telemedicine technologies must be reliable and readily available to healthcare providers. To address current gaps in integration of patient-generated health data into the electronic health record (EHR), we examined 2 patient-facing platforms, Epic MyChart and Apple HealthKit, both of which facilitated the uploading of blood glucose data into the EHR as part of a diabetes telemedicine intervention. All patients were offered use of the MyChart platform; we subsequently invited a purposive sample of patients who used the MyChart platform effectively (n = 5) to also use the Apple HealthKit platform. Patients reported both platforms helped with diabetes self-management, and providers appreciated the convenience of the processes for obtaining patient data. Providers stated that the EHR data presentation format for Apple HealthKit was challenging to interpret; however, they also valued the greater perceived accuracy the Apple HealthKit data. Our findings indicate that patient-facing platforms can feasibly facilitate transmission of patient-generated health data into the EHR and support telemedicine-based care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.