New Article on Data marketplaces for AI in Healthcare published in HMD Praxis der Wirtschaftsinformatik
(10.11.2022) Our paper “Data marketplaces for AI in Healthcare: Potentials, Challenges, and Management Strategies” by Richard Guse, Scott Thiebes, Phil Hennel, Christoph Rosenkranz, and Ali Sunyaev has been published in the Journal HMD Praxis der Wirtschaftsinformatik. The article is published with open access and freely available to the public.
View article on publisher site: https://link.springer.com/article/10.1365/s40702-022-00922-4
Training artificial intelligence (AI) models requires a large amount of high-quality data. However, especially in healthcare with its highly sensitive data and high privacy requirements, individual stakeholders often do not own sufficient high-quality data. Data marketplaces for AI aim to solve this problem by connecting data providers and data consumers and enabling data trading. However, despite initial technical concepts and some pilot projects, data marketplaces have not yet been successful in the healthcare sector. Within this study, expert interviews were therefore conducted with a number of relevant experts and stakeholders to identify potentials, challenges and possible strategies for overcoming the challenges. Based on the three dimensions of the technology, organization and environment framework, the results of the study highlight specific potentials of data marketplaces for AI in healthcare, but at the same time also a number of challenges that need to be addressed. The mitigation strategies developed here provide initial approaches for eliminating the challenges identified, but also highlight the need for further research in this area.