CAIRELab Online Summerschool
Artificial Intelligence: from theory to Value Based Healthcare practice
“Data science – which allows us to recognize meaningful patterns in large quantities of data – opens up the possibility of personalized and preventive healthcare.” (LUMC-Strategy 2018-2023)
This summerschool adds value to currently available courses in the field of AI and healthcare as it views AI within a VBHC-framework using an holistic, scientific approach.
Scope
The scope of this summerschool is on implementing Artificial Intelligence (AI) in Value Based Healthcare (VBHC) practice. VBHC is the principle for our patient care (LUMC-strategy).
Internationally, there is a growing interest to implement the principles of VBHC, aiming to increase the value of patient care at socially acceptable costs. AI is one of the fundamentals for innovation and is increasingly used to facilitate VBHC across and beyond all 10 themes for innovation. Successful implementation of AI in VBHC practice is not just viewed from a technological point of view, but from a more holistic perspective. Specific attention is given to the people side of innovation and change and the importance of interdisciplinary collaboration when implementing AI-solutions in practice. This summerschool is not intended to acquire skills in programming.
Clinical need
Both AI and VBHC are currently transforming healthcare. Their shared focus is on reducing healthcare costs and improving outcomes. In clinical practice, clinicians come across AI- solutions which do not live up to their promise when used in clinical practice; data-scientists develop AI-solutions that are theoretically sound but too complicated to implement or use in daily practice; and the validation of AI-solutions is a largely unexplored territory. The implementation of AI in healthcare depends on successful collaboration of all stakeholders involved. Currently, AI is dominated by the field of modeling, and AI researchers after their PhD often leave healthcare to work in for-profit organizations. Healthcare needs dedicated researchers who are willing and able to collaborate with clinicians. However, currently these are difficult to come by.
Learning objectives
For this summerschool, important learning objectives are stated for each of the steps of the AI roadmap, focusing on three key ingredients of success: People, Process and Product (3-P model). At the end of this summerschool, participants will be able to:
