AI in the boardroom: from insight to responsible implementation!
Many healthcare organizations have the ambition to become a data-driven organization. This 2.5-day master class is aimed at strengthening the knowledge of data and AI among managers of healthcare organizations. You might be wondering if AI is actually being used wisely within your organization.
Do we actually have a clear vision for AI or an AI policy? Is the management of AI and algorithms well organized? And do we have a clear overview of how many algorithms are being used within the organization? With our academic specialists, we will delve deeper into these topics and see where the problems lie!
This masterclass was developed and is conducted in close cooperation with M&I/Partners; the strategic ICT consultancy for government and healthcare.
What will you learn.
After attending the Masterclass AI in the boardroom you:
- Have developed a future vision of AI in healthcare, including anticipating new technological developments and exploring innovative healthcare models;
- Can create policy and determine the organization’s position in relation to the AI the organization will face;
- Can determine what the issues are in driving AI projects, algorithms or applications;
- Know what your organization needs to comply with under the AVG and explain what the European AI regulation means for your organization;
- Understand the basics of artificial intelligence (AI), including machine learning, deep learning, and natural language processing;
- Are able to identify various applications of AI in healthcare, including diagnostics, prognostics, treatment, patient care, and operational efficiency.
Designed for:
- Directors of healthcare institutions
The program is open to administrators of healthcare facilities such as hospitals, nursing homes, home care organizations, mental health agencies and other healthcare facilities. Together we go from insight to responsible implementation. Specific prior knowledge of Data Science / AI is not required to attend this program.
Dilemmas in care that we are addressing
The use of AI and data in healthcare brings both opportunities and dilemmas for healthcare administrators. Here are some key dilemmas that often come up:
- Data protection: healthcare executives must balance between protecting patient data and leveraging data for innovation;
- Privacy: strict regulations around patient data (such as GDPR) ensure high standards in data protection;
- Budget: investing in AI technologies while budgets are limited and the focus is on cost reduction;
- Ethics: AI applications must be fair, non-discriminatory and in the best interest of the patient;
- Autonomy: healthcare providers and patients should retain participation and control over healthcare decisions.
Transform your healthcare organization with AI
You’ll learn about the ethical and legal aspects of AI, how to recognize and avoid biases in data, and how AI affects employees and decisions. We’ll also discuss how to successfully launch, sponsor, and integrate innovative AI projects into your business processes.
Discover the power of AI for your organization with our Masterclass!
Program
Day 1:
What is AI and what are the recent developments with related practical examples? The afternoon session is entirely dedicated to the question, “What are the issues in driving AI projects/ algorithms or AI applications?
Day 2:
How do you apply AI responsibly, where is the boundary? To what point can you/should you be able to explain what results the machine-learning algorithm generates. How do you deal with biases in your data, how do you find out and avoid making wrong decisions or assumptions? The afternoon is all about legal: What do you all have to comply with under the GDPR/AVG and what does the European AI regulation mean for my organization?
Return afternoon:
How do I step in as an organization into a topic that my MT and my people are not yet familiar with?
Master class teachers (Program and dates subject to change)
Geert Mol, Principal adviseur at M&I Partners
A driven and innovative manager who loves issues at the intersection of (change) management and ICT. I have extensive experience with issues and projects in the field of information and data management. I combine perseverance and a healthy dose of energy with empathy. Working with people to tackle issues and taking them further gives me the most energy.
Dr. Danielle Sent, Associate Professor & Program Director of Professional Education JADS
Danielle studied computer science with a specialization in medical informatics at Utrecht University. She also received her PhD from Utrecht University. Her dissertation focuses on developing test selection strategies for the diagnosis of esophageal cancer using Bayesian networks. After postdoctoral research at the University of Twente, she was an assistant professor at Amsterdam UMC, University of Amsterdam.
Prof.dr.ir. Uzay Kaymak, Professor of information systems in health care JADS
Uzay Kaymak is a professor of information systems in healthcare at JADS. After studying at Delft University of Technology, he held positions at Shell International Exploration and Production and Erasmus University Rotterdam. His research focuses on fuzzy modeling, intelligent decision support systems, data mining and computational intelligence methods
mr.dr. Colette Cuijpers, Associate Professor Law & Technology Tilburg University
Cuijpers holds degrees in European Law and Dutch Law. She obtained her PhD on her study of the possibility and desirability of implementing the European Data Protection Directive in the Dutch Civil Code. Her expertise mainly focuses on how technology and society regulate privacy and regulate data protection and vice versa.
Dr Bart van der Sloot, Associate Professor Law & Technology Tilburg University
Bart van der Sloot specializes in the areas of technology and law, Artificial Intelligence and Human Rights. He works as an associate professor at the Tilburg Institute for Law, Technology, and Society, Tilburg University, and is the Editor in Chief of the European Data Protection Law Review. Bart holds degrees in Philosophy and Law. He has received three prestigious awards: the NWO Top Talent grant, the NWO Veni Grant and the KNAW Early Career Award.
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Download the Dutch brochure here – Masterclass AI in the boardroom!
Born out of a unique collaboration between Tilburg University (TiU) and Eindhoven University of Technology (TU/e), the Jheronimus Academy of Data Science (JADS) has been working since 2016 to create tangible impact through data science education and research. We educate future data science professionals and equip them with excellent business skills.
Why JADS?
Business and tech
JADS is a collaboration between the technical approach of Eindhoven University of Technology and the entrepreneurial, people-oriented expertise of Tilburg University.
We make data personal
Real impact you can make comes from an approach tailored to your specific business context & industry. We give you the tools, mindset and skills to take effective action.
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Our Professional Education programs address knowledge gaps and learning needs of both organizations and professionals.
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