Introduction: SARS-CoV-2 has disseminated globally, and COVID-19 has been labeled as a public health emergency of global concern by the World Health Organization. Since 2019-nCoV (2019 new coronavirus) has a long incubation period and high infectivity, e-Health and its subsets in medical informatics (MI) have evolved as a suitable solution to enable the continuity of health services delivery. Also, new health care models are required during the COVID-19 pandemic. The proposed systematic review aims to examine and summarize evidence related to medical informatics applications in COVID-19 crisis, as evidence-based approaches.
Methods and Analysis: A research team consisting of experts in the fields of medical informatics and systematic review methods were guided this review according to the Cochrane Handbook and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. PubMed and Scopus databases were searched. Eligibility criteria for including studies reviewed was randomized and non-randomized controlled trials published in English language. Articles performed on medical informatics applications in COVID-19 pandemic during 2019-2020 were identified. Two independent reviewers will assess articles eligibility and extract data into a spreadsheet using a structured pilot-tested form. Collected data and evidence will be synthesized using a thematic synthesis approach. The risk of bias will be assessed in all included studies using appropriate tools.
Results: The literature search led to the identification of a total of 1882 and 854 articles retrieved from the PubMed and Scopus databases, respectively. After removing duplicates, 2716 articles remained and underwent title and abstract screening process.
Conclusion: This systematic review aims to identify the applications of medical informatics in COVID-19 pandemic. To the best of our knowledge, this review is the first attempt undertaken to develop an evidence-based method using a systematic review approach.
Juul S, Nielsen EE, Feinberg J, Siddiqui F, Jørgensen CK, Barot E, et al. Interventions for treatment of COVID-19: A living systematic review with meta-analyses and trial sequential analyses (The LIVING Project). PLoS Med. 2020; 17(9): e1003293. PMID: 32941437 doi: 10.1371/journal.pmed.1003293
World Health Organization. Novel Coronavirus (2019-nCoV): Situation report-3 [Internet]. 2020 [cited: 1 Oct 2020]. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200123-sitrep-3-2019-ncov.pdf?sfvrsn=d6d23643_8
Gavriilidis P, Pai M. The impact of COVID-19 global pandemic on morbidity and mortality of liver transplant recipients children and adults: A systematic review of case series. J Clin Med Res. 2020; 12(7): 404-8. PMID: 32655733 DOI: 10.14740/jocmr4223
Guan W-j, Ni Z-y, Hu Y, Liang W-h, Ou C-q, He J-x, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020; 382: 1708-20.
Peeri NC, Shrestha N, Rahman MS, Zaki R, Tan Z, Bibi S, et al. The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: What lessons have we learned? Int J Epidemiol. 2020; 49(3): 717-26. PMID: 32086938 DOI: 10.1093/ije/dyaa033
Mehrotra A, Chernew M, Linetsky D, Hatch H, Cutler D. The impact of the COVID-19 pandemic on outpatient visits: A rebound emerges [Internet]. 2020 [cited: 1 Oct 2020]. Available from: https://www.commonwealthfund.org/publications/2020/apr/impact-covid-19-outpatient-visits
Dores AR, Geraldo A, Carvalho IP, Barbosa F. The use of new digital information and communication technologies in psychological counseling during the CoViD-19 pandemic. Int J Environ Res Public Health. 2020; 17(20): 7663. PMID: 33096650 DOI: 10.3390/ijerph17207663
World Health Organization. Fifty-eighth world health assembly: Resolutions and decisions annex. Geneva: WHO; 2005.
Tebeje TH, Klein J. Applications of e-Health to support person-centered health care at the time of COVID-19 pandemic. Telemed J E Health. 2020. PMID: 32746750 DOI: 10.1089/tmj.2020.0201
Fagherazzi G, Goetzinger C, Rashid MA, Aguayo GA, Huiart L. Digital health strategies to fight COVID-19 worldwide: Challenges, recommendations, and a call for papers. J Med Internet Res. 2020; 22(6): e19284. PMID: 32501804 DOI: 10.2196/19284
Ting DSW, Carin L, Dzau V, Wong TY. Digital technology and COVID-19. Nat Med. 2020; 26(4): 459-61. PMID: 32284618 DOI: 10.1038/s41591-020-0824-5
Ye J. The role of health technology and informatics in a global public health emergency: Practices and implications from the COVID-19 pandemic. JMIR Med Inform. 2020; 8(7): e19866. PMID: 32568725 DOI: 10.2196/19866
Ye Q, Zhou J, Wu H. Using information technology to manage the COVID-19 pandemic: Development of a technical framework based on practical experience in China. JMIR Med Inform. 2020; 8(6): e19515. PMID: 32479411 DOI: 10.2196/19515
Higgins JP. Cochrane handbook for systematic reviews of interventions version 5.0. 1 [Internet]. 2008 [cited: 1 Oct 2020]. The Cochrane Collaboration. Available from: http://www cochrane-handbook org
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015; 4(1): 1. PMID: 25554246 DOI: 10.1186/2046-4053-4-1
Sahama T. Health informatics domain knowledge analysis: An information technology perspective. In: Croll P, Sintchenko V (Eds.). Frontiers of Health Informatics-Redefining Healthcare: Annual HISA Health Informatics Conference. Health Informatics Society of Australia; 2009.
Schuemie M, Talmon J, Moorman P, Kors J. Mapping the domain of medical informatics. Methods Inf Med. 2009; 48(1): 76-83. PMID: 19151887 DOI: 10.3414/me0576
Ganjali R, Khoshrounejad F, Habibi MRM, Taherzadeh Z, Golmakani R, Mostafavi SM, et al. Effect and features of information technology-based interventions on self-management in adolescent and young adult kidney transplant recipients: A systematic review. Adolesc Health Med Ther. 2019; 10: 173-90. PMID: 31686939 DOI: 10.2147/AHMT.S200801
Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ. 2009; 339: b2535. PMID: 19622551 DOI: 10.1136/bmj.b2535
Vandenbroucke JP, Von Elm E, Altman DG, Gøtzsche PC, Mulrow CD, Pocock SJ, et al. Strengthening the reporting of observational studies in epidemiology (STROBE): Explanation and elaboration. PLoS Med. 2007; 4(10): e297. PMID: 17941715 DOI: 10.1371/journal.pmed.0040297
Moons KG, Wolff RF, Riley RD, Whiting PF, Westwood M, Collins GS, et al. PROBAST: A tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration. Ann Intern Med. 2019; 170(1): W1-33. PMID: 30596876 DOI: 10.7326/M18-1377
Estabrooks C, Goel V, Thiel E, Pinfold P, Sawka C, Williams I. Decision aids: Are they worth it? A systematic review. J Health Serv Res Policy. 2001; 6(3): 170-82. PMID: 11467275 DOI: 10.1258/1355819011927431
Estabrooks CA, Cummings GG, Olivo SA, Squires JE, Giblin C, Simpson N. Effects of shift length on quality of patient care and health provider outcomes: Systematic review. Qual Saf Health Care. 2009; 18(3): 181-8. PMID: 19467999 DOI: 10.1136/qshc.2007.024232
Thomas J, Harden A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol. 2008; 8: 45. PMID: 18616818 DOI: 10.1186/1471-2288-8-45
Niazkhani Z, Pirnejad H, Khazaee PR. The impact of health information technology on organ transplant care: A systematic review. Int J Med Inform. 2017; 100: 95-107. PMID: 28241943 DOI: 10.1016/j.ijmedinf.2017.01.015
Shahmoradi L, Abtahi H, Amini S, Gholamzadeh M. Systematic review of using medical informatics in lung transplantation studies. Int J Med Inform. 2020; 136: 104096. PMID: 32058262 DOI: 10.1016/j.ijmedinf.2020.104096