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.

Comparative Research on Artificial Intelligence and a Various Role of Algorithms in Medicine for Emergency Dealing with the SARS-CoV Pandemic in Asia, USA, and EU

“…e-Health and Artificial Intelligence in Surgery in Asia, EU, and USA: This prompted a considerable link between eHealth, artificial intelligence, and digital inequalities to reach out to patients following a surgical procedure. After the pandemic outbreak, the need for artificial intelligence tools to predict surgical outcomes from the available data sets (Taha-Mehlitz et al, 2021). 5 The application of eHealth and AI in surgery allows the origin of quality medications that cause excellent results in oncology cases.…”

A New eHealth Investment Appraisal Framework for Africa: Validation

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