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Proposed framework for data classification improves data governance in Egyptian healthcare systems.
A robust data management system is crucial for healthcare entities to get value from the exponential volume of generated and stored data. Given the impact of data on the decision-making process at the individual, organizational, and institutional levels, appropriate management of data should be considered a priority. Data management is referred to as the activities and processes that are directly related to the actual management of data, whereas data governance is a strategic framework concerned with managing rules, responsibilities, processes, and practices of managing the data. Data management can turn this data classification framework into executable policies and procedures. The main aim of this article is to formulate a proposal or road map for data classification methodology, with a primary focus on the first step of data classification, which is categorizing different types of data collected and released from various ecosystems within the Egyptian healthcare system.
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Elsisi et al. (2025) studied this question.
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