부산대학교 도서관

The Healthcare vertical is highly dependent on excessive volumes of data both structured and unstructured. Despite having the wealth of data, there is a lack of actionable insights as data is overly complex to understand and fragmented. Healthcare analytics is coming up as a transformation in the healthcare industry which will improve the process and practises of decision making in the healthcare field and enhance preventative treatment and diagnostics. (Objective) This research reviews the use of analytics in healthcare with major focus on the current scenario, and its implementation challenges in healthcare settings. It includes a study of the different technologies being currently adopted in healthcare such as big data, predictive and prescriptive analytics to generate precise and informed predictions. A narrative form of literature review approach has been adopted for this study wherein white papers, research papers, articles, blogs etc. have been referred to, studied, and then analysed. Implications: The proposed conceptual framework will help healthcare organizations, professionals, academicians researching big data in healthcare to understand how big data will help arrive at improved healthcare decisions and improve their operational efficiency and performance. Originality. The paper proposes a conceptual framework for using big data analytics for improved decision making and efficiency in operations and performance and will help in understanding the latest trends and implementation of AI, NLP in the patient care and diagnostics medicine.