Overview

Responsible analytics in healthcare achieves superior health quality outcomes by ensuring data-driven decisions are ethical, transparent, and patient-centered. As healthcare systems rely on big data, AI, and predictive modeling, the importance of responsible data governance, bias mitigation, and privacy protection has become critical. Responsible analytics involves accountability in data collection, interpretation, and application in clinical and operational decisions. By promoting ethical standards and consumer trust, responsible analytics supports more equitable care delivery, enhances population health strategies, and drives improvements in patient outcomes. Responsible Analytics for Superior Health Quality Outcomes explores the potential for AI analytics to enable quality clinical decision making that leads to high quality and high value healthcare outcomes. It examines current techniques using AI tools, describing how best to harness their potential to ensure the delivery of quality healthcare. This book covers topics such as mental health, machine learning, and medical detection, and is a useful resource for business owners, medical professionals, healthcare workers, academicians, researchers, and data scientists.

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Nilmini Wickramasinghe Currently, Professor Wickramasinghe is the inaugural Optus Chair and Professor of Digital Health at La Trobe University . She holds or has held honorary research professor positions at Epworth HealthCare, Peter MacCallum Cancer Centre, Northern Health and Murdoch Children's Research Institute. After completing 5 degrees at the University of Melbourne, she was awarded a full scholarship to complete PhD studies at Case Western Reserve University, Cleveland, OH, USA and later she was sponsored to complete executive education at Harvard Business School, Harvard University, Cambridge, MA, USA in Value-based HealthCare. For over 20 years, Professor Wickramasinghe has been actively, researching and teaching within the health informatics/digital health domain in US, Germany and Australia with a particular focus on designing, developing and deploying suitable models, strategies and techniques grounded in various management principles to facilitate the implementation and adoption of technology solutions to effect superior, value-based patient centric care delivery. Professor Wickramasinghe collaborates with leading scholars at various premier healthcare organizations and universities throughout Australasia, US and Europe and is well published with more than 400 referred scholarly articles, more than 15 books, numerous book chapters, an encyclopaedia and a well established funded research track record securing over $25M in funding from grants in US, Australia, Germany and China as a chief investigator. She holds a patent around analytics solution for managing healthcare data and is the editor-in-chief of Intl J Networking and Virtual Organisations by InderScience as well as series editor of the Springer book series Healthcare Delivery in the Information Age and the CRC Routledge book series Analytics and AI for Healthcare. In 2020 she was awarded the prestigious Alexander von Humboldt award for outstanding contribution to Digital Health, the first time this honour has been bestowed to someone in the discipline of Digital Health

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