Hospital admitted patients are in most of the world monitored regularly in an attempt to capture any deterioration of vital parameters as early as possible. Such early warning score systems provide clear patient benefit but also consume large resources in the hospitals. Accordingly, there is a need to develop systems that use existing information as efficiently as possible without jeopardizing patient safety. In this talk I present how we in Denmark used more than 3 million historical vital parameter assessments to develop a new early warning score system. This is where the AI (light) comes in. In the second half of the talk I present how we have designed a stepped wedge trial to assess the performance of the scoring system in a real-world setting. As the trial is ongoing focus will be on statistical aspects of planning.

Short Bio and contribution to science
Professor Lange’s research involves methodological research within statistics as well as a wide range of applied collaborations with medical doctors, epidemiologists, psychologists etc. His methodological work is focused on causal inference i.e. a formal framework for addressing cause and effect. Methods he has developed have been broadly applied and its novelty recognized by the 2012 Kenneth Rothman Prize. My applied collaborations span from RCTs to complex longitudinal observational studies and from intensive care research to psychology. Accordingly, the research spans novel methods for causal inference, applications within clinical research and epidemiology as well as research-based advice to government.

In total, have published more than 310 peer reviewed papers in addition to two expert reports on Corona outbreak (grey papers), two book chapters, and an R-package, h-index: 45 (WoS)

Role in ‘Future Prevention & Health’
Professor Lange is a member of the steering group of the the Future Prevention & Health program at the University of Copenhagen; a strategic initiative aimed at promoting health and preventing disease through interdisciplinary research in close collaboration with societal stakeholders.

Short description of Department of Public Health, University of Copenhagen
The Department of Public Health at the University of Copenhagen is a leading academic hub focused on improving population health through interdisciplinary research and education. It encompasses ten research sections, covering fields such as epidemiology, biostatistics, health data science & AI, global health, health services, and ethics. The department supports several graduate and postgraduate programs, including Public Health and Global Health, and fosters collaboration with national and international partners. With around 300 staff members, it contributes to evidence-based public health strategies and policy development. Its mission is to generate scientific knowledge that enhances public health efforts and deepens understanding of the societal factors influencing health.