Predictive Big Data Analytics Capability Model to Enhancing Healthcare Organization Performance

Big data analytics capabilities have the potential to help healthcare organizations improve performance and provide high-quality care, and this awareness is growing. However, implementing BDA to optimize healthcare performance is a fundamental challenge for researchers and practitioners alike. This study investigates how big data analytics capabilities can predict the performance of healthcare organizations through five broad categories of BDA capabilities (organizational, technical, analytical, cognitive, and social) with their sub-competencies to improve decision-making and reshape the future of healthcare transmission. These thematic categories were used to develop a prediction model to predict healthcare organization performance accurately. We collect 205 responses from big data analysts and those who work in the hospital?s information technology departments through a survey, preprocessing the data, then we use the machine learning and neural networks algorithms to develop and evaluate the model. Insights into the relationship between big data analytics competencies are provided by the results of predictive modelling. The results of the proposed model were good for all capabilities. the model's accuracy at a range 77.6% to 85.4% for all capabilities, these results show that the model has strong and consistent performance, and make it a trustworthy instrument for decision-making in the healthcare industry.