Predictive Healthcare Analytics

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Author(s): Ushaa Eswaran (Indira Institute of Technology and Sciences, Jawaharlal Nehru Technological University, India), Vivek Eswaran (Medallia, India), Keerthna Murali (Dell, India)and Vishal Eswaran (CVS Health, India)
Copyright: 2024
Pages: 29
Source title: Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Source Author(s)/Editor(s): Archi Dubey (The ICFAI University, India), C. Kishor Kumar Reddy (Stanley College of Engineering and Technology for Women, India), Srinath Doss (Botho University, Botswana)and Marlia Mohd Hanafiah (Universiti Kebangsaan Malaysia, Malaysia)
DOI: 10.4018/979-8-3693-5893-1.ch009

Keywords: Computer Science & IT / Computer Simulation / Healthcare Administration / Medical Information Science Reference

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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.

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