The Development of Electronic Health and Artificial Intelligence in Surgery after the SARS-CoV-2 Pandemic-A Scoping Review
- PMID: 34682912
- PMCID: PMC8537136
- DOI: 10.3390/jcm10204789
The Development of Electronic Health and Artificial Intelligence in Surgery after the SARS-CoV-2 Pandemic-A Scoping Review
Abstract
Background: SARS-CoV-2 has significantly transformed the healthcare environment, and it has triggered the development of electronic health and artificial intelligence mechanisms, for instance. In this overview, we concentrated on enhancing the two concepts in surgery after the pandemic, and we examined the factors on a global scale.
Objective: The primary goal of this scoping review is to elaborate on how surgeons have used eHealth and AI before; during; and after the current global pandemic. More specifically, this review focuses on the empowerment of the concepts of electronic health and artificial intelligence after the pandemic; which mainly depend on the efforts of countries to advance the notions of surgery.
Design: The use of an online search engine was the most applied method. The publication years of all the studies included in the study ranged from 2013 to 2021. Out of the reviewed studies; forty-four qualified for inclusion in the review.
Discussion: We evaluated the prevalence of the concepts in different continents such as the United States; Europe; Asia; the Middle East; and Africa. Our research reveals that the success of eHealth and artificial intelligence adoption primarily depends on the efforts of countries to advance the notions in surgery.
Conclusions: The study's primary limitation is insufficient information on eHealth and artificial intelligence concepts; particularly in developing nations. Future research should focus on establishing methods of handling eHealth and AI challenges around confidentiality and data security.
Keywords: COVID-19; SARS-CoV-2; artificial intelligence; eHealth; pandemic; surgery.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
Similar articles
-
Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review.J Prim Care Community Health. 2020 Jan-Dec;11:2150132720963634. doi: 10.1177/2150132720963634. J Prim Care Community Health. 2020. PMID: 32996368 Free PMC article.
-
Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues.BMJ Health Care Inform. 2023 Aug;30(1):e100676. doi: 10.1136/bmjhci-2022-100676. BMJ Health Care Inform. 2023. PMID: 37541739 Free PMC article.
-
The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review.J Med Internet Res. 2022 Nov 1;24(11):e39748. doi: 10.2196/39748. J Med Internet Res. 2022. PMID: 36005841 Free PMC article.
-
Use of Artificial Intelligence for Predicting COVID-19 Outcomes: A Scoping Review.Stud Health Technol Inform. 2022 Jan 14;289:317-320. doi: 10.3233/SHTI210923. Stud Health Technol Inform. 2022. PMID: 35062156
-
Artificial intelligence assisted telehealth for nursing: A scoping review.J Telemed Telecare. 2025 Jan;31(1):140-149. doi: 10.1177/1357633X231167613. Epub 2023 Apr 18. J Telemed Telecare. 2025. PMID: 37071572
Cited by
-
A New eHealth Investment Appraisal Framework for Africa: Validation.Int J Environ Res Public Health. 2023 Jul 21;20(14):6426. doi: 10.3390/ijerph20146426. Int J Environ Res Public Health. 2023. PMID: 37510658 Free PMC article.
References
-
- Van der Kleij R.M., Kasteleyn M.J., Meijer E., Bonten T.N., Houwink E.J., Teichert M., van Luenen S., Vedanthan R., Evers A., Car J., et al. SERIES: eHealth in primary care. Part 1: Concepts, conditions, and challenges. Eur. J. Gen. Pract. 2019;25:179–189. doi: 10.1080/13814788.2019.1658190. - DOI - PMC - PubMed
Publication types
LinkOut - more resources
Full Text Sources
Miscellaneous