Designing Enterprise Architecture toward Big Data readiness using TOGAF ADM in the public health sector
International Journal of Emerging Trends in Engineering Research · 2022
In the pandemic Covid-19, public health sector is the key for managing national health care. According to Ministry of health(MoH) data, there are 9.993 public health service institution (puskesmas) that spread across Indonesia district level. In this study, we focus on puskesmas as the representative of Ministry of health (MoH). Most of the operations and data taken from the public health center such as patients data, health record data, pharmacies data, and more. The Ministry of Health is responsible for many sectors such as health and drug regulation, health service and equipment, illness, pandemic management, health institution, and so on. Responding to numerous roles above, Information Technology is mandatory for all division in the MoH. However, there are hundreds silo applications has been developed in the Ministry of health. As the consequence, puskesmas should operate many applications. In this study, we conduct an empirical study to design an enterprise architecture on data integration and big data using real cases in the Ministry of health. TOGAF ADM Version 9.2 is used to unearth current condition and set the vision that measures the readiness for implementing Big Data technology. We conduct interviews with management and technical staff to analyze the issues and desirable state, and then conduct gap analysis. Our study provides a systematic transformation for big data analytics in public health services to increase competitive advantage in the public health sector. Furthermore, the challenges are hundreds of applications has been running, lack of regulations, and an information technology roadmap, and the absence of software documentation. Our study defines the data mart architecture as a proposal for implementing big data as an interoperability tool to generate a consistent data. Data regulation and standard protocol must be defined clearly