Maturity Assessment of Big Data Analytics in the Ethiopian Health Sector
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Date
2021-12
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Addis Ababa University
Abstract
It has been experienced and showed in different researches that big data applications have assisted in reducing the cost of healthcare. In order to understand this an appropriate maturity assessment model need to be deployed to analyze the current scenario. In this research work the following research questions will be answered: What are the key pillars considered to select Big Data Maturity Model (BDMM)? Which Big Data Maturity Model is appropriate to evaluate Ethiopian health sector experience in Big Data Analytics? What is the big data maturity level of Ethiopian health sector scenario? In general the objective of this research was maturity assessment of big data analytics in the Ethiopian health sector. For this purpose, a conceptual tool known as the big data maturity model has been selected using defined criteria that encompasses model structure completeness, model development and evaluation quality, ease of application and big data value creation to best fit the Ethiopian health sector. The researcher applied deductive–exploratory research purpose with hermeneutics philosophical approach to select the best fit maturity model called TDWI (The Data Warehouse Institute) Big data maturity model. The researchers applied qualitative research to study the status of big data analytics application based on the five pillars i.e., Organization, Infrastructure, Data Management, Analytics and Governance as a reference to define the maturity level. For this research Ministry of Innovation and Technology (MINT) and Ministry of Health (MOH) are the main sources of the data. The population is selected using Purposive Sampling Technique. In this research work data is being collected directly from the identified and selected sample population. Correspondingly, interview is used as a direct data collection method. The analysis result showed that big data analytics application in the Ethiopian health sector is in its Pre- Adoption stage. One of the characteristics of an organization in a pre-adoption stage is the readiness to start doing on its responsibilities regarding big data analytics in which the health sector in Ethiopia also shows similar characteristics. In this research work there is a limited time and capacity to reach all main stakeholders within the health sector then the researcher is limited to contact the main and leading stakeholders within the health sector.
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Keywords
Big Data Analytics, Big Data Maturity Model, TDWI BDMM, Health Sector