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Appl Clin Inform 2020; 11(04): 671-679
DOI: 10.1055/s-0040-1716538
Research Article

Patient-Initiated Data: Our Experience with Enabling Patients to Initiate Incorporation of Heart Rate Data into the Electronic Health Record

Joshua M. Pevnick
1   Division of Informatics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States
2   Division of General Internal Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States
,
Yaron Elad
1   Division of Informatics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States
,
Lisa M. Masson
1   Division of Informatics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States
,
Richard V. Riggs
1   Division of Informatics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States
3   Department of Physical Medicine and Rehabilitation, Cedars-Sinai Medical Center, Los Angeles, California, United States
,
Ray G. Duncan
1   Division of Informatics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States
› Institutsangaben Funding This work was funded in part through a research award from Cedars-Sinai Precision Health. J.P. was supported by the National Institute on Aging, United States of the National Institutes of Health, United States under award K23AG049181. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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Abstract

Background Provider organizations increasingly allow incorporation of patient-generated data into electronic health records (EHRs). In 2015, we began allowing patients to upload data to our EHR without physician orders, which we henceforth call patient-initiated data (PAIDA). Syncing wearable heart rate monitors to our EHR allows for uploading of thousands of heart rates per patient per week, including many abnormally low and high rates. Physician informaticists expressed concern that physicians and their patients might be unaware of abnormal heart rates, including those caused by treatable pathology.

Objective This study aimed to develop a protocol to address millions of unreviewed heart rates.

Methods As a quality improvement initiative, we assembled a physician informaticist team to meet monthly for review of abnormally low and high heart rates. By incorporating other data already present in the EHR, lessons learned from reviewing records over time, and from contacting physicians, we iteratively refined our protocol.

Results We developed (1) a heart rate visualization dashboard to identify concerning heart rates; (2) experience regarding which combinations of heart rates and EHR data were most clinically worrisome, as opposed to representing artifact; (3) a protocol whereby only concerning heart rates would trigger a cardiologist review revealing protected health information; and (4) a generalizable framework for addressing other PAIDA.

Conclusion We expect most PAIDA to eventually require systematic integration and oversight. Our governance framework can help guide future efforts, especially for cases with large amounts of data and where abnormal values may represent concerning but treatable pathology.

Keywords

patient-generated data - mHealth - atrial fibrillation - patient–provider portal

Protection of Human and Animal Subjects

The study was approved by Cedars-Sinai Institutional Review Board.




Publikationsverlauf

Eingereicht: 24. März 2020

Angenommen: 05. August 2020

Artikel online veröffentlicht:
14. Oktober 2020

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