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Cited by 49COVID-19 Digital Contact TracingHealthcare during COVID-19 PandemicTelemedicine and Telehealth Implementation

Digital Health COVID-19 Impact Assessment: Lessons Learned and Compelling Needs

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Microsoft, Lee, Peter, Abernethy, Amy, Verily, Shaywitz, David, Astounding HealthTech, Gundlapalli, Adi, U.S. Centers for Disease Control and Prevention +8 more·2022·NAM Perspectives
DOI 10.31478/202201cPMC PMC8970223
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  • Literature on this topic has increased exponentially following the COVID-19 pandemic.

    “literature on this topic has increased exponentially following the COVID-19 pandemic [171].”

    From Acceptability of Digital Mental Health Interventions for Depression and Anxiety: Systematic Review (2024) · cites this paper as [171]

    The paper discusses rapid adoption of digital health tools and difficulty managing the volume of COVID-19 preprints, but neither establishes that literature on the topic increased after the pandemic nor describes exponential growth. Searches for an exponential increase in publications and research literature found no passage supporting the claim; the relevant passages have no page number in our copy. (LLM, conf=0.72)

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Authors
Microsoft, Lee, P., Abernethy, A., Verily, Shaywitz, D., HealthTech, A., Gundlapalli, A., Prevention, U. S. C. F. D. C. A., Weinstein, J., Healthcare, M., Doraiswamy, P. M., Duke University School of Medicine, Schulman, K., Stanford University School of Medicine, Madhavan, S., & AstraZeneca
Affiliations
  • Microsoft (United States) (US)
  • Verily Life Sciences LLC (United States) (US)
  • Centers for Disease Control and Prevention (US)
  • Duke University (US)
  • AstraZeneca (United Kingdom) (GB)
  • Stanford Medicine (US)
ORCID
Venue
NAM Perspectives
Publisher
National Academy of Medicine
Published
2022-01-18
Volume
2022
ISSN
2578-6865 (ISSN-L)
DOI
10.31478/202201c
PMC
PMC8970223
OpenAlex
W4206514154
Cited by
49
References
31
Citations by year
2026: 2 · 2025: 9 · 2024: 14 · 2023: 15 · 2022: 9
FWCI
10.03
Type
journal article
Language
en
Open access
Locations
  • NAM Perspectives (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
  • Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
Keywords
digital health, COVID-19 pandemic, health technology assessment, telemedicine, health information technology, lessons learned, health system needs

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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