Managing Digital Transformation in the Healthcare Sector: Big Data Influencing Patient Outcomes, Costs, and Efficiency Improvement

Abstract

The fourth industrial revolution and digital transformation, followed by the broad utilization of various technological devices, have revolutionized all segments of society and business, including the healthcare sector. The technology-enabled proliferation of big data from various sources opened new data collection and processing options. The present study aims to identify the important technologies in smart health care that utilize big data and provide a better understanding of how big data can assist patients and physicians. A comprehensive literature review is conducted to identify the areas of application of big data in health care and map them to the P4 principles of health care: predictive, preventive, participatory, and personalized medicine. The study is descriptive and qualitative and based on an analysis of secondary data sources. The paper’s main contribution is providing a systematic review of the current applications of big data analytics in health care from the perspective of P4 principles of health care. Additionally, the paper provides an overview of the current state of digital transformation in the healthcare sector, analyzes big data sources in health care, and explores the current challenges and future perspectives of smart healthcare solutions concerning patients’ outcomes, costs, and efficiency. Finally, the paper concludes with practical recommendations and recommendations for further research.

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