Cited by 25Telemedicine and Telehealth ImplementationDiabetes Management and ResearchDiabetes Management and Education

Remote Patient Monitoring in Diabetes: How to Acquire, Manage, and Use All of the Data

Open access
Johnson, Eric L., Miller, Eden·2022·Diabetes Spectrum

Abstract

The ability of patients and health care providers to use various forms of technology for general health has significantly increased in the past several years with the expansion of telehealth, digital applications, personal digital devices, smartphones, and other internet-connected platforms and devices. For individuals with diabetes, this also includes connected blood glucose meters, continuous glucose monitoring devices, and insulin delivery systems. In this article, the authors outline several steps to facilitate the acquisition, management, and meaningful use of digital diabetes data that can enable successful implementation of both diabetes technology and telehealth services in primary care clinics.

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Crossref · 10.2337/dsi21-0015

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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  • The HCI community has explored the application of LLMs for various healthcare practices such as mental health support, health information seeking, and public health interventions.

    “The HCI community has explored the application of LLMs for various healthcare practices, such as mental health support [66,68], health information seeking [81,117,128], and public health interventions [58]”

    From Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults (2024) · cites this paper as [58]

    The Abstract discusses telehealth and remote monitoring in diabetes care, not LLM-based public health interventions—the part of the sentence to which this citation is attached. Searches for LLMs, public health interventions, and related AI applications found no passage addressing that claim in our copy. (LLM, conf=0.74)

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  • Given the limited work in multi-stakeholder contexts, our work uncovers AI's capability to address challenges in patient-provider communication.

    “Given the limited work in multi-stakeholder contexts [58], our work uncovers AI's capability to address challenges in patient-provider communication.”

    From Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults (2024) · cites this paper as [58]

    The citation is attached to the assertion that work in multi-stakeholder contexts is limited, not to the citing authors’ finding about AI. The paper discusses roles for patients, clinicians, and clinic staff in remote diabetes monitoring (Abstract, page unavailable), but does not assess how much research exists in multi-stakeholder contexts. Searches for that research-gap claim found no supporting passage. (LLM, conf=0.73)

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Research works printed but not linked: 12

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Cited by

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Authors
Johnson, E. L., & Miller, E.
Affiliations
  • University of North Dakota (US)
  • 3Diabetes and Obesity Care LLC, Bend, Oregon
Corresponding author
Johnson, Eric L.
Venue
Diabetes Spectrum
Published
2022-02-08
Volume
35
Issue
1
Pages
43-56
ISSN
  • 1040-9165 (ISSN-L)
  • 1944-7353
OpenAlex
W4205494537
Cited by
25
References
4
Citations by year
2026: 10 · 2025: 4 · 2024: 8 · 2023: 3
FWCI
3.31
Type
journal article
Language
en
Open access
Locations
  • Diabetes Spectrum (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
remote patient monitoring, diabetes mellitus, telemedicine, continuous glucose monitoring, insulin delivery devices, primary care, diabetes technology

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