Telehealth utilization during the Covid-19 pandemic: a systematic review
Open accessAbstract
During the coronavirus disease (COVID-19) pandemic, different technologies, including telehealth, are maximised to mitigate the risks and consequences of the disease. Telehealth has been widely utilised because of its usability and safety in providing healthcare services during the COVID-19 pandemic. However, a systematic literature review which provides extensive evidence on the impact of COVID-19 through telehealth and which covers multiple directions in a large-scale research remains lacking. This study aims to review telehealth literature comprehensively since the pandemic started. It also aims to map the research landscape into a coherent taxonomy and characterise this emerging field in terms of motivations, open challenges and recommendations. Articles related to telehealth during the COVID-19 pandemic were systematically searched in the WOS, IEEE, Science Direct, Springer and Scopus databases. The final set included (n = 86) articles discussing telehealth applications with respect to (i) control (n = 25), (ii) technology (n = 14) and (iii) medical procedure (n = 47). Since the beginning of the pandemic, telehealth has been presented in diverse cases. However, it still warrants further attention. Regardless of category, the articles focused on the challenges which hinder the maximisation of telehealth in such times and how to address them. With the rapid increase in the utilization of telehealth in different specialised hospitals and clinics, a potential framework which reflects the authors' implications of the future application and opportunities of telehealth has been established. This article improves our understanding and reveals the full potential of telehealth during these difficult times and beyond.
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The public health emergency triggered a rapid shift in health care, boosting global adoption and usage of telehealth or other electronic solutions.
“However, this public health emergency has triggered a rapid shift in the way of health care, boosting the global adoption and usage of telehealth or other electronic solutions (68, 69).”
From Research on digital tool in cognitive assessment: a bibliometric analysis (2023) · cites this paper as [68]
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Prostate Cancer Radiation Therapy Recommendations in Response to COVID-19
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Pediatric, Family‐Centered, “At‐Home” Otologic Physical Examination in the COVID‐19 Era
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Kesici ve Kesici Delici Alet ile İntihar İki Olgu Sunumu
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Flagged first, then by citations
Research works printed but not linked: 1
- [60]Martínez-García M. Bal-Alvarado M. Guerra F.S. Ares-Rico R. Suárez-Gil R. Rodríguez-Álvarez A. Pérez-López A. Casariego-Vales E. Rial Á.F. Rey R.R. Tracing of COVID-19 patients by telemedicine with telemonitoring Rev. Clínica Española 220 2020 472 479 PMC7274600 33994572
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Chitungo, I., Mhango, M., Mbunge, E., Dzobo, M., Musuka, G., & Dzinamarira, T. (2021) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.297 · Cited by 98 · see citing works
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- Authors
- Garfan, S., Alamoodi, A. H., Zaidan, B. B., Al-Zobbi, M., Hamid, R. A., Alwan, J. K., Ahmaro, I. Y. Y., Khalid, E. T., Jumaah, F. M., Albahri, O. S., Zaidan, A. A., Albahri, A. S., Al-qaysi, Z. T., Ahmed, M. A., Shuwandy, M. L., Salih, M. M., Zughoul, O., Mohammed, K. I., & Momani, F.
- Affiliations
- Sultan Idris Education University (MY)
- National Yunlin University of Science and Technology (TW)
- University of Information Technology and Communications (IQ)
- University of Malaya (MY)
- Hebron University (PS)
- University of Basrah (IQ)
- Polytechnique Montréal (CA)
- University of Tikrit (IQ)
- Ahmed Bin Mohammed Military College (QA)
- Corresponding author
- Alamoodi, A.H.
- ORCID
- Venue
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 138
- Pages
- 104878
- ISSN
- 0010-4825 (ISSN-L)
- PMC
- PMC8450049
- OpenAlex
- W3199898909
- Cited by
- 369
- References
- 112
- Citations by year
- 2026: 31 · 2025: 59 · 2024: 106 · 2023: 104 · 2022: 64 · 2021: 4
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- Locations
- Computers in Biology and Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- Funders
- Universiti Pendidikan Sultan Idris (2020-0310-106-11)
- 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 › Dentistry › General Dentistry › Dental Research and COVID-19
- Keywords
- telemedicine, COVID-19 pandemic, remote healthcare delivery, medical procedures, research landscape mapping
- MeSH terms
- COVID-19, SARS-CoV-2, Humans, Telemedicine, 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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