Designing robust and resilient data strategy in health clusters (HC): Use cases identification for efficiency and performance enhancement.
Housawi, Abdulrahman
Housawi, Abdulrahman
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8/1/2024
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Abstract
The design, implementation of execution of Data Strategy within a health cluster is a sophisticated process. Diverse actors, stakeholders and business functions are involved. The need for designing roadmaps for the implementation of the strategy, also incorporates the identification of use cases for novel initiatives, services and systems. In this chapter we communicate our experience in designing use cases as carriers of enhanced efficiency and performance that is data driven. This is a high value intellectual effort aiming to strategize the allocation of resources and the design of new robust and resilient systems to promote efficiency and performance. We exploit the outcomes of maturity assessment for Data Governance and Data Strategy and we provide a systematic methodology for the implementation of a resilient strategy in the health cluster.
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Next generation eHealth: Applied data science, machine learning and extreme computational intelligence