Affiliation:
1. Indira Institute of Technology and Sciences, Jawaharlal Nehru Technological University, India
2. Medallia, India
3. Dell, India
4. CVS Health, India
Abstract
The integration of digital twin technology with healthcare systems promises to revolutionize clinical decision-making and patient outcomes in Healthcare 6.0. This chapter explores predictive healthcare analytics' role in preventive care, resource optimization, and patient-centered outcomes. It examines theoretical foundations, methodologies like machine learning, and real-world applications, highlighting predictive maintenance and risk stratification. Ethical considerations and regulatory compliance are emphasized, with a look at future trends. Ultimately, the chapter serves as a guide for stakeholders navigating predictive healthcare analytics in Healthcare 6.0, advocating for proactive, data-driven decision-making and improved patient outcomes.