Time: 1 December, 10:00 – 11:30am UK Time (Online via Microsoft Teams)

Agenda

Developing data-driven solutions in real-world healthcare management
Professor Weizi (Vicky) Li

Abstract

Data-driven solutions such as artificial intelligence (AI) and machine learning (ML) can improve health and care efficiency by augmenting human labour and enhancing productivity. This talk will cover a series of collaborative projects with NHS developing real-world data-driven healthcare applications and will focus on data-driven solutions to improve referral triage from primary to secondary care, and to reduce “do-not-attend” in secondary care outpatient management. We will discuss how AI/ML improve healthcare efficiency, patient outcomes and health inequality, challenges, and future opportunities.

Evolution of knowledge ecosystems in digital transformation of the health sector
Dr Hajar Mozaffar

Abstract

Digital transformation is now central to most health system strategies around the world; although policy makers and implementers generally agree on the potential of health information technology (HIT) to improve safety, quality, and efficiency of care, strategies for procurement, implementation, and optimization vary significantly across settings. Hence, large-scale HIT-enabled transformation programs have met with varying success, and there is no agreed strategy on how best to achieve digital transformation at scale. We propose that organisation-level perspective on digital transformation of the health sector offers limited understanding of the phenomenon and hence partial understanding of how to deliver successful transformation. We suggest that to understand the complex nature of digital transformation, new approaches that consider different levels of analysis are needed. In doing so, we show how inter-organisational knowledge collaborations are a key feature of recent initiatives to promote concerted change across multiple organizations by establishing a knowledge ecosystem.