Abstract

A health crisis risk monitoring information system needs to be developed, especially during the pre-disaster phase; therefore, understanding the needs of prospective users is crucial. This study aimed to investigate the needs of potential users regarding the development of this system. This study employed a qualitative, exploratory approach to gather user needs from stakeholders through interviews (n = 7) and one focus group discussion (n = 12). The data were audio-recorded, transcribed verbatim, and then thematically analyzed using qualitative content analysis. The need for information was related to disaster preparedness and its preferred format. The system should be targeted, multiplatform, support multiple users, and easy to access. Features should include fully integration, advanced capabilities, online access, and the ability to generate fast and actionable information. It is essential to have this system for all users. A system must facilitate decision-making at various levels. The system should contain related information in a standardized format, easily accessible through various platforms and by multiple users, and serve as a tool for providing information for risk mitigation, monitoring, and reporting purposes.

References

1. Blanchard K. Defining the role of public health in disasters and emergency management. In: Marie A-S, Rasmus D, eds. Defining Disaster: Disciplines and Domains. Edward Elgar Publishing Ltd.; 2022: 72–89.

2. Cheng M-Y, Chiu K-C, Hsieh Y-M, et al. BIM integrated smart monitoring technique for building fire prevention and disaster relief. AutoConstruct. 2017; 84: 14–30. DOI 10.1016/j.autcon.2017.08.027.

3. Quiram BJ, Pennel CL, Carpender SK. Information technology and data systems in disaster preparedness for healthcare and the broader community. In: Dwivedi A, ed. Handbook of Research on Information Technology Management and Clinical Data Administration in Healthcare. IGI Global; 2009: 17. DOI: 10.4018/978-1-60566-356-2.ch016.

4. United Nations. World Conference on Disaster Risk Reduction: Sendai framework for disaster risk reduction 2015–2030. 1st ed. Geneva: United Nations; 2015. 5.Aitsi-Selmi A, Egawa S, Sasaki H, et al. The Sendai framework for disaster risk reduction: Renewing the global commitment to resilience, health, and well-being. Int J Disaster Risk Sci. 2015; 6: 164–176. DOI: 10.1007/s13753-015-0050-9.

6. Harris M, Charnley G. Disaster risk management: A resilient health system. In: Eslamian S, Eslamian F, eds. Disaster risk reduction for resilience: Disaster risk management strategies. Springer International Publishing; 2022: 47–176. DOI: 10.1007/978-3-030-72196-1_7.

7. Vardarlıer P. Strategic approach to human resources management during crisis. Procedia Soc Behav Sci. 2016; 235: 463–472.DOI 10.1016/j.sbspro.2016.11.057.

8. Abd-Alrahman AM, Ekenberg L. Modelling health information during catastrophic events — A disaster management system for Sudan. IEEE; 2017. DOI: 10.23919/ISTAFRICA.2017.8102390.

9. Khan A, Gupta S, Gupta SK. Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques. Int J Disaster Risk Reduct. 2020; 47: 101642. DOI 10.1016/j.ijdrr.2020.101642.

10. Hadi MS, Hastono SP, Prabawa A. Design and Development of a Geospatial-Based Information Systems for Disaster Management of Adolescent Reproductive Health in Nusa Tenggara Barat Province in 2020. IOP Conf Series Earth Environ Sci. 2021; 755: 012073. DOI: 10.1088/1755-1315/755/1/012073.

11. Meesters K, Nespeca V, Comes T. Designing disaster information management systems 2.0: Connecting communities and responders. Proceed Int ISCRAM Conf. 2019; 2019: 1089–1102.

12. Shuvo SRS, Islam MdN, Islam ST. Role of information and communication technologies in Build Back Better to post disaster recovery practices: Insights from Bangladesh. Int J Disaster Resil Built Environ. 2022; 13: 233–247. DOI: 10.1108/IJDRBE-08-2021-0097.

13. Badan Nasional Penanggulangan Bencana. Indeks Risiko Bencana Indonesia Tahun 2021. Jakarta: Pusat Data, Informasi dan Komunikasi Kebencanaan Badan Nasional Penanggulangan Bencana; 2022.

14. Centre for Research on the Epidemiology of Disasters. 2022 Disasters in Numbers: Climate in Action. Brussels: Centre for Research on the Epidemiology of Disasters; 2023.

15. Deputi Bidang Pencegahan dan Kesiapsiagaan. Kajian Risiko Bencana Kabupaten Tasikmalaya Tahun 2019-2023. Jakarta: Badan Nasional Penanggulangan Bencana; 2018.

16. Pusat Krisis Kesehatan. Pantauan Bencana Pusat Krisis Kesehatan Kementerian Kesehatan Republik Indonesia. Jakarta: Pusat Krisis Kesehatan; 2025.

17. Murray V, Aitsi-Selmi A, Blanchard K. The role of public health within the united nations post-2015 framework for disaster risk reduction. Int J Disaster Risk Sci. 2015; 6: 28–37. DOI: 10.1007/s13753-015-0036-7.

18. Menteri Kesehatan Republik Indonesia. Peraturan Menteri Kesehatan No. 75 Tahun 2019 Tentang Penanggulangan Krisis Kesehatan. Jakarta: Kementerian Kesehatan Republik Indonesia; 2019.

19. Ademaj G, Saenyi B. Systematic literature review: Data standardization in health information systems. ECIS 2022 Research Papers; 2022.

20. Paul JD, Bee E, Budimir M. Mobile phone technologies for disaster risk reduction. Clim Risk Manag. 2021; 32: 100296.DOI: 10.1016/j.crm.2021.100296.

21. Zhou L, DeAlmeida D, Parmanto B. Applying a user-centered approach to building a mobile personal health record app: Development and usability study. JMIR mHealth uHealth. 2019; 7: e13194. DOI: 10.2196/13194.

22. Michelsen K, Brand H, Achterberg P, Wilkinson J. Promoting Better Integration of Health Information Systems: Best Practices and Challenges. Copenhagen: WHO Regional Office for Europe; 2015.

23. Jayaratne M, Nallaperuma D, De Silva D, et al. A data integration platform for patient-centered e-healthcare and clinical decision support. Future Gen Comput Syst. 2019; 92: 996–1008. DOI: 10.1016/j.future.2018.07.061.

24. Byrne E, Heywood A. Use of routine health information systems data in developing and monitoring district and facility health plans: A scoping review. BMC Health Serv Res. 2023; 23: 1049. DOI: 10.1186/s12913-023-09914-6.

25. Abbass M, Akhai S, Chouksey A, et al. Disaster risk reduction and management with emerging technologies: Applications of IoT, AI, and data analytics for resilient urban infrastructure. In: Al Maqousi A, ed. Revolutionizing Urban Development and Governance with Emerging Technologies. IGI Global Scientific Publishing; 2025: 71-110. DOI: 10.4018/979-8-3373-1375-7.ch003.

26. Adenuga OA, Kekwaletswe RM, Coleman A. eHealth integration and interoperability issues: Towards a solution through enterprise architecture. Health Inf Sci Syst. 2015; 3: 1. DOI: 10.1186/s13755-015-0009-7.

27. Dlodlo N, Hamunyela S. The status of integration of health information systems in Namibia. Elect J Inf Syst Eval. 2017; 20: 61–61.

28. Alamdar F, Kalantari M, Rajabifard A. Towards multi-agency sensor information integration for disaster management. Comput Environ Urban Syst. 2016; 56: 68–85. DOI: 10.1016/j.compenvurbsys.2015.11.005.

29. Rafi MM, Aziz T, Lodi SH. A comparative study of disaster management information systems. Online Inf Rev. 2018; 42: 971–988.DOI: 10.1108/OIR-06-2016-0168.

30. World Health Organization. Health emergency and disaster risk management framework. Geneva: World Health Organization; 2019.

31. Twigg J. Disaster risk reduction. London: Humanitarian Policy Group Overseas Development Institute; 2015.

32. Mustofa GG, Mulyanti B, Widiaty I. The implementation of multiplatform technology. IOP Conf Ser Mater Sci Eng. 2021; 1098: 022112.DOI: 10.1088/1757-899X/1098/2/022112.

33. Quintal C, Macías JA. Measuring and improving the quality of development processes based on usability and accessibility. Univ Access Inf Soc 2021; 20: 203–221. DOI: 10.1007/s10209-020-00726-7.

34. Teixeira P, Eusébio C, Teixeira L. Understanding the integration of accessibility requirements in the development process of information systems: A systematic literature review. Req Eng. 2024; 29: 143–176. DOI: 10.1007/s00766-023-00409-8.

Download

Share

COinS