The Role of Knowledge Extraction from Big Data for Enhancing Healthcare Services

All knowledge management methods and activities are meaningless unless knowledge is generated for effective various applications. Based on this fact, the aim of this article is to shed the light on the function of knowledge extraction from big data in improving healthcare services. The research derives various results after conducting this survey and examining several studies based on the descriptive analytical approach that is based on examining several scholarly papers from 2011 to 2022. The main achieved results revealed that most key benefits of using big data in healthcare include traceability, analytical capability, speeds to decisions capability, predictive analytics capability, interoperability capability, quicker clinical research progress, a more personalized approach to patient care, and earlier illness identification. On the other hand, high dimensionality, inconsistency, sparseness, distortion, and bias are some characteristics of healthcare big data that make their management and processing difficult. In addition, barriers to adopting big data technology include skepticism about its benefits, the necessity for a substantial initial investment, and difficulty reengineering healthcare systems and gaining approval for disruptive technologies. Finally concluded, it was shown that knowledge extraction from big data had altered healthcare practice and revolutionized the link between sickness and health.