Healthcare systems are known to be among the most costly and inefficient ecosystems. It is widely accepted that better and more affordable healthcare is feasible. Interestingly, many of the reasons for this inefficiency are game theoretic: conflicting objectives, asymmetric information, lack of proper incentives, externalities, and more.
The fields of multi-agent systems and algorithmic game theory combine techniques from both computer science and game theory or micro economics to produce algorithms that take these self-interests into account. Such methodologies can be used to develop computerized solutions that overcome the above problems. Moreover, by incorporating patients' preferences into the algorithms, these solutions can be used to transform health systems to put the interests of patients in center, resulting in better care.
Potential contributions may include but are not limited to the following types:
The workshop will bring together senior decision makers in the EU health system, scientists in algorithmic game theory and multi-agent systems, industry representatives, and healthcare economists in order to identify research gaps, concrete use cases, long term research strategies, and potential projects.