Man vs Robots? Future Challenges and Opportunities within Artificial Intelligence Health Care Education Model

This study investigated the need to provide a formal artificial intelligence (AI) health care education model to the 21th century AI health care learners. Health care has continuously transformed at all levels of health care administrative, operational, and practical. This vastly changing health care industry requires a synthesis of communicating multifaceted and diverse forms of thinking. AI health care professional entities within business, technology, art, biomedical, and other health care related sectors must work cross-functionally to establish roles that will meet the need toward improving health care at all levels. In order to achieve this pursuit, we researched and investigated how to create an AI health care education model fostering collaboration and innovation. There has been a significant calling for AI heath care collaboration of academicians, clinical scientist, and health care practitioners of all levels to identify a comprehensive AI health care education model due to the current void in the health care course design. To further this empirical study, the researchers focused on a qualitative study comprising of qualitative interviews and surveys inviting participants from the AI health care, business, biomedical, clinical scientist, academia, and capital investors to expound on the level of significance each professional sector have toward AI Health care education.