The role of electronic health in the coronavirus disease crisis: A systematic review of documents

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 220

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شناسه ملی سند علمی:

JR_IJIMI-9-1_010

تاریخ نمایه سازی: 30 مرداد 1401

چکیده مقاله:

Introduction: Epidemic diseases have always caused considerable physical and financial casualties for governments. By the end of the year ۲۰۱۹, the Covid۱۹ pandemic emerged for the first time in China and rapidly infected the globe. Objectives: As information technology plays a significant role in the current healthcare system, the aim of the present study was to conduct a systematic review to determine the role of electronic health in the Covid۱۹ crisis.Material and Methods: This review was carried out on articles published from December ۲۰۱۹ until March ۱۷th ۲۰۲۰ by searching keywords and their equivalents in "MeSH" in PubMed, Web of Science, and Scopus databases and Google search engine.Results: In total, from ۷۲ found articles, ۲۸ were recognized based on their research topic. After imposing inclusion and exclusion criteria, eventually ۶ original articles and ۸ reports were selected for further analysis. Results showed that reviewed articles had mentioned the effective role of IT in: diagnosing Corona patients, addressing the spread of the disease, providing sufficient education for the public to prevent the disease, and recognizing high-risk areas. Telemedicine, machine learning algorithms, deep learning, Augmented intelligence, neural networks, Global positioning system, and geographical information system have been the most widely used technologies.Conclusion: It was shown that defeating the Covid۱۹ is impossible without the help of technology. Experiences with the effectivity of using electronic health in controlling and monitoring the prevalence of Covid۱۹ can be used to deal with other pandemic diseases in the future as well; and to avoid possible casualties and economic regressions while rapidly providing solutions for similar critical situations.

نویسندگان

Parastoo Amiri

Department of Health Information Sciences, Faculty of Management and Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran

Kabmiz Bahaadinbeigy

Associate Professor, Department of Health Information Sciences, Faculty of Management and Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran