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Digital healthcare: The only solution for better healthcare during COVID-19 pandemic?
Open accessAbstract
The huge impact of the COVID-19 pandemic on global healthcare systems has prompted search for novel tools to stem the tide. Attention has turned to the digital health community to provide possible health solutions in this time of unprecedented medical crisis to mitigate the impact of this pandemic. The paper shall focus on how digital solutions can impact healthcare during this pandemic.
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“Utilizing existing digital health technology systems and expanding and adapting it to evolving healthcare needs, would be critical for managing the current pandemic [12].”
From Equipping community health workers with digital tools for pandemic response in LMICs (2021) · cites this paper as [12]
In the citing paper
“There are several cases, which shows that highly sensitive information of patients was easily stolen by simply stealing EHR data.”
From Secondary Use of Electronic Health Record: Opportunities and Challenges (2020) · cites this paper as [94]
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https://community.dhis2.org/t/dhis2-for-covid-19-surveillance-sri-lankan-use-case/38516.
(n.d.)
Unresolvedhttps://www.fda.gov/regulatory-information/search-fda-guidance-documents/enforcement-policy-non-invasive-remote-monitoring-devices-used-support-patient-monitoring-during.
(n.d.)
Unresolvedhttps://www.mohfw.gov.in/pdf/Telemedicine.pdf.
(n.d.)
Unresolvedhttps://hitconsultant.net/2020/03/25/detect-study-wearable-data-detection-viral-illness/#.XocP1YgzY2w.
(n.d.)
Unresolvedhttps://ouraring.com/ucsf-tempredict-study.
(n.d.)
Unresolvedhttps://www.jsi.com/covid-19-digital-health-solutions-to-improve-the-response/.
(n.d.)
Unresolvedhttps://coronamap.site/.
(n.d.)
Unresolvedhttps://play.google.com/store/apps/details?id=nic.goi.aarogyasetu.
(n.d.)
Unresolvedhttps://medium.com/zenysis.
(n.d.)
Unresolvedhttps://www.mhero.org/news/three-early-digital-health-covid-19-response-success-stories.
(n.d.)
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“Patients’ data protection is just pretty much as solid as its most vulnerable component in such systems [11].”
BackgroundA Review of the State of the Art in Non-Contact Sensing for COVID-19
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BackgroundHasnain, M. (2020) · doi:10.31124/advance.12284429.v1 · Cited by 1
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Basha, A. A. J., Saravanan, K., Mangayarkarasi, T., et al. (2022) · International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) · doi:10.1109/icpects56089.2022.10047631
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BackgroundHosseini, N., Hosseini, M., Mostafavi, S. M., Kiani, B., Bergquist, R. N., Kimiafar, K., & Sarbaz, M. (2023) · doi:10.22541/au.168749823.33961108/v1
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Ofori, P. P., Antwi, E. A., Brenya, B., & Wiafe, A. (2024) · Social Science Journal for Advanced Research · doi:10.54741/ssjar.4.1.3
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“Kapoor et al. (2020) stated that digital health applications were quite beneficial during the pandemic.”
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“These predominant issues have instigated the need to fetch healthcare services to the living room of individuals [2][3].”
Adib, M. E., & Ajana, F. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-99997-0_22
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Tanwar, A. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898810634125010005
Jahromi, M. E., Ayatollahi, H., & Ebrazeh, A. (2024) · Figshare · doi:10.6084/m9.figshare.25711191
Major, P., Stefura, T., Wysocki, M., Małczak, P., Rzepa, A., Proczko-Stepaniak, M., Szeliga, J., & Pędziwiatr, M. (2020) · Figshare · doi:10.6084/m9.figshare.13331943
Pillai, J. S. K., Singh, T., Mondal, R., & Sahoo, B. (2026) · Journal of Pharmacy And Bioallied Sciences · doi:10.4103/jpbs.jpbs_461_24
Metadata
- Authors
- Kapoor, A., Guha, S., Kanti Das, M., Goswami, K. C., & Yadav, R.
- Affiliations
- Sanjay Gandhi Post Graduate Institute of Medical Sciences (IN)
- Medical College and Hospital, Kolkata (IN)
- All India Institute of Medical Sciences (IN)
- Corresponding author
- Kapoor, Aditya
- Guha, Santanu
- Goswami, Kewal C.
- Yadav, Rakesh
- Venue
- Indian Heart Journal
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 72
- Issue
- 2
- Pages
- 61-64
- ISSN
- 0019-4832 (ISSN-L)
- PMC
- PMC7151273
- OpenAlex
- W3015829205
- Cited by
- 189
- References
- 10
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 25 · 2023: 26 · 2022: 39 · 2021: 55 · 2020: 30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Indian Heart Journal (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- digital health, COVID-19 pandemic, telemedicine, health care delivery, digital health solutions, health system impact
- MeSH terms
- COVID-19, Communicable Disease Control, Female, Humans, Male, Pneumonia, Viral, Public Health, Program Evaluation, Program Development, Outcome Assessment, Health Care, Telemedicine, Coronavirus Infections, Pandemics
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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