Summer School Artificial Intelligence & Value Based Healthcare
This year the first CAIRELab Summer School, Artificial Intelligence: from theory to Value Based Healthcare practice, will take place online from the 23rd of August to 26st of August. The organisation CAIRELab of the LUMC aims to create, validate and implement responsible AI solutions in the clinical workflow. Together with a team of experts we try to overcome the road blocks of AI implementation.
The scope of this summer school is on implementing Artificial Intelligence (AI) in Value Based Healthcare (VBHC) practice. VBHC is the principle for our patient care. Internationally, there is a growing interest to implement the principles of VBHC, aiming to increasethe 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 practiceis not just viewed froma 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 summer school is not intended to acquire skills in programming.
(International) students who (nearly) completed a master’s degree in the field of data science, artificial intelligence, (technical) medicine or similar. Students who are aiming to do research on something closely related to AI in VHC healthcare in the future.
For this summer school, 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 summer school, participants will be able to:
- Understand the fundamentals of AI and VBHC and explain their relation
- Describe the five steps of the AI-roadmap including potential roadblocks
- Explain the complementary roles of data-scientists, researchers and clinicians
- Explain the role of change management in each step of the AI roadmap
- Use change management models to facilitate change and mitigate resistance
- Identify whether a project idea meets the criteria for applying AI
- Discuss ethical conditions for responsible innovation
- Define and apply a stakeholder strategy
- Specify research designs and methods for the scientific evaluation of AI
- Understand the boundary conditions to implement an AI-model
- Discuss the importance and benefits of public-private partnerships
- Name key steps for adoption and scaling up innovations
- Apply VHBC principals when analyzing the impact of AI
- Formulate a plan to evaluate the impact of an AI-model
In light of covid-19, this summer school will be offered 100% online. To ensure engaging and effective sessions, the flip the classroom principle is used. We will present the material in a interactive and fun manner. Experiences and AI-solutions from experts in the field will be shared and reviewed. Companies such as Google, Philips and Pacmed will share their view on AI and the future. Also, we will round of every day with a social program, such as escape rooms, pubquizes et cetra.
Day 1: Monday 23 August 2021 - PREPARE
The first day of this summer school starts with a welcome speech and introduction followed by sessions focused around fundamentals in AI and Value Based Healthcare (VBHC) as well as the first phase of the AI roadmap; the prepare phase.
- AI and VBHC, the perfect marriage? (Prof. Mark van Buchem)
- From theory to healthcare practice: the AI roadmap (Prof. Aske Plaat)
- AI is the answer to what questions? (Prof. Ewout Steyerberg)
- Interdisciplinary collaboration: why, what and how? (Dr. Sesmu Arbous)
- Change management essentials (Drs. Nienke Hendriks-van de Weem)
- Responsible innovation: ethical and moral boundaries (Prof. Martine de Vries)
Day 2: Tuesday 24 August 2021 – CREATE MODEL & VALIDATE
The focus of the second day is on the create model and validation phase. Real-world examples are used to provide important considerations leading to successful creation and validation of an AI-solution. These examples cover different AI-techniques and hence different challenges and roadblocks.
- AI-models for healthcare: applications, limitations and implications
- How to validate an AI-model?
- AI for diagnostics (Prof. Jeroen Jansen)
- AI for consultation (Dr. Martijn Bauer)
- AI for monitoring (Prof. Douwe Atsma)
Day 3 Wednesday 26 August 2020 - IMPLEMENT
The theme of the third day is the implementation of AI-solutions in a healthcare setting, supported by the principles and models related to implementation research.
- Challenges when bringing AI into practice (Esmee Stoop, Dr. Marco Spruit)
- Privacy & Medical Device Regulation (Dr. Rob van Eijk)
- Implementation strategies (Mw. dr. Ilse Kant)
- Pacmed: learnings from an award-winning organization (Pacmed)
- Public private partnerships: do’s and don’ts (Philips)
Day 4. Thursday 27 August 2020 – IMPACT ANALYSIS
The focus of the final day is on impact analysis. The course concludes with a glimps into the future. What will the real challenge be in 15 years from now? A healthcare innovator from Google will share his thoughts. Also, participants present their top learnings during the summer school.
- Creating value with data (Dr. Egge van der Poel)
- Impact assessment guidelines (Prof. Ewout Steyerberg)
- Impact for patients and healthcare professionals (MSc. Marieke van Buchem en MSc. Anne de Hond)
- AI in the future – Google
- Final presentation and festive end ceremony