Bridging the integration gap between patient-generated blood glucose data and electronic health records.

dc.contributor.author

Lewinski, Allison A

dc.contributor.author

Drake, Connor

dc.contributor.author

Shaw, Ryan J

dc.contributor.author

Jackson, George L

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Bosworth, Hayden B

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Oakes, Megan

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Gonzales, Sarah

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Jelesoff, Nicole E

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Crowley, Matthew J

dc.date.accessioned

2024-01-25T23:44:13Z

dc.date.available

2024-01-25T23:44:13Z

dc.date.issued

2019-07

dc.description.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.

dc.identifier

5476183

dc.identifier.issn

1067-5027

dc.identifier.issn

1527-974X

dc.identifier.uri

https://hdl.handle.net/10161/29859

dc.language

eng

dc.publisher

Oxford University Press (OUP)

dc.relation.ispartof

Journal of the American Medical Informatics Association : JAMIA

dc.relation.isversionof

10.1093/jamia/ocz039

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Humans

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Diabetes Mellitus, Type 2

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Blood Glucose

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Self Care

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Communication

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Telemedicine

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Systems Integration

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Physicians

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Electronic Health Records

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Patient Generated Health Data

dc.title

Bridging the integration gap between patient-generated blood glucose data and electronic health records.

dc.type

Journal article

duke.contributor.orcid

Lewinski, Allison A|0000-0002-1356-1857

duke.contributor.orcid

Drake, Connor|0000-0002-5393-6246

duke.contributor.orcid

Shaw, Ryan J|0000-0001-6800-6503

duke.contributor.orcid

Bosworth, Hayden B|0000-0001-6188-9825

duke.contributor.orcid

Crowley, Matthew J|0000-0002-6205-4536

pubs.begin-page

667

pubs.end-page

672

pubs.issue

7

pubs.organisational-group

Duke

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School of Medicine

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School of Nursing

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Basic Science Departments

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Clinical Science Departments

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Institutes and Centers

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Family Medicine and Community Health

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Medicine

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Psychiatry & Behavioral Sciences

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Medicine, Endocrinology, Metabolism, and Nutrition

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Medicine, General Internal Medicine

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Duke Cancer Institute

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Duke Clinical Research Institute

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Institutes and Provost's Academic Units

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Center for the Study of Aging and Human Development

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Initiatives

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Duke Science & Society

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Population Health Sciences

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Duke Innovation & Entrepreneurship

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Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

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Duke Center for Applied Genomics and Precision Medicine

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Duke - Margolis Center For Health Policy

pubs.publication-status

Published

pubs.volume

26

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