COVID-19, Data architecture, Information system, Reportable diseases, Surveillance system

Shanbehzadeh, Mostafa; Kazemi-arpanahi, Hadi; Nopour, Raoof; Haghiri, Hamideh; Mobasheri, Fatemeh; Bazvand-Nezhad, Zeinab

doi:10.29252/sjimu.28.6.47

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Volume 28, Issue 6 (1-2021)

Journal of Ilam University of Medical Sciences 2021, 28(6): 47-61

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COVID-19, Data architecture, Information system, Reportable diseases, Surveillance system

Mostafa Shanbehzadeh¹

, Hadi Kazemi-arpanahi ^*

², Raoof Nopour³

, Hamideh Haghiri⁴

, Fatemeh Mobasheri⁵

, Zeinab Bazvand-Nezhad⁵

1- Dept of Health Information Technology, Faculty of Paramedical, Ilam University of Medical Sciences, Ilam, Iran
2- Dept of Health Information Technology, Abadan Faculty of Medical Sciences, Abadan, Iran , hadi.kazemi67@gmail.com
3- Dept of Health Information Technology and Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
4- Dept of Health Information Technology and Management, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5- Dept of Health Information Technology, Abadan Faculty of Medical Sciences, Abadan, Iran

Abstract: (3161 Views)

Introduction: Management and control of reportable diseases are challenging because these diseases include a large spectrum of infectious conditions that need accurate, precise, and timely reporting. To deal with this problem, an integrated surveillance system using the set of core data architecture principles is crucial to ensure the effective
management of data. Therefore, this study aimed to identify the core data architecture requirements for effective management of Coronavirus Disease 2019 (COVID-19), followed by designing a data architecture model.

Materials & Methods: This systematic review was conducted in 2020 through searching five databases, including PubMed, Web of Science, Science Direct, and Scopus M, as well as Google scholar search engine to identify metrics for COVID-19 data architecture designing. Moreover, the search formula definition, implication of inclusion and exclusion criteria, search filtering adjustment, and related study identification were performed in this study. Subsequently, the cases identifying the architecture data of the COVID-19 component were systematically extracted and categorized in suitable classes. Finally, the management system of the architecture model of the patient was visualized in this study.
Ethics code: IR.ABADANUMS.REC.1399.065

Findings: Out of 398 identified studies, 27 articles met the inclusion criteria. The obtained data were categorized into five classes, including organizations involved in data management (data producer, data users, and decision-makers), data sources, information requirements (11 information classes and 77 data elements), standards (semantic and syntactic), and control quality criteria of the data.

Discussions & Conclusions: Implementation of customized data architecture for COVID-19 can increase the potential of the health care systems to prevent the high prevalence of this disease and improve the quality of care through timely and effective health monitoring, accurate epidemiological investigations, clinical decision supports, and health-care policymaking.

Keywords: COVID-19, Data architecture, Information system, Reportable diseases, Surveillance system

Full-Text [PDF 1058 kb] (1309 Downloads)

Type of Study: Applicable | Subject: Health Information management
Received: 2020/05/19 | Accepted: 2020/09/19 | Published: 2021/02/28

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Shanbehzadeh M, Kazemi-arpanahi H, Nopour R, Haghiri H, Mobasheri F, Bazvand-Nezhad Z. COVID-19, Data architecture, Information system, Reportable diseases, Surveillance system. J. Ilam Uni. Med. Sci. 2021; 28 (6) :47-61
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