The Future of Healthcare to 2030: Implications for the international community and NHS Stakeholders
- Thursday 7 April 2022 (11:00-12:30)
With speaker Professor Jeffrey Braithwaite of The Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University
Multiple trends are in train which will reshape healthcare across the decade of the 2020s. These include the need to create sustainability in the provision of care; managing changing demographics and disease patterns; adopting genomics and integrating it into care; assessing artificial intelligence and its impact on care; and implementing new patient-oriented models of care. With 148 contributing authors from 152 countries1, 2 I have devised a roadmap for change and am attempting to build the impetus for the transition to be skilfully managed. We will discuss the implications of this work for the international context health and the National Health Service.
1. Braithwaite J, Mannion R, Matsuyama Y, et al. Healthcare systems: future predictions for global care. Boca Raton, FL: CRC Press, 2018.
2. Braithwaite J, Mannion R, Matsuyama Y, et al. The future of health systems to 2030: a roadmap for global progress and sustainability. Int J Qual Health Care 2018; 30: 823-831.
Professor Jeffrey Braithwaite is Founding Director of the Australian Institute of Health Innovation, Director of the Centre for Healthcare Resilience and Implementation Science, and Professor of Health Systems Research, Faculty of Medicine Health and Human Sciences, Macquarie University, Sydney, Australia. He is a Board Chair and President of the International Society for Quality in Health Care (ISQua) and consultant to the World Health Organization (WHO).
His research examines the changing nature of health systems, which has attracted funding of more than AUD$176 million (GBP£93 million). He is particularly interested in patient safety, the resilience of health care settings, international health reform and health care as a complex adaptive system, applying complexity science to health care problems.