Advances in Medical Education and Practice (May 2018)
Gaming science innovations to integrate health systems science into medical education and practice
Abstract
Earla J White,1 Joy H Lewis,1 Lise McCoy2 1Department of Public Health, School of Osteopathic Medicine in Arizona, A.T. Still University, Mesa, AZ, USA; 2Department of Medical Humanities and Healthcare Leadership, School of Osteopathic Medicine in Arizona, A.T. Still University, Mesa, AZ, USA Abstract: Health systems science (HSS) is an emerging discipline addressing multiple, complex, interdependent variables that affect providers’ abilities to deliver patient care and influence population health. New perspectives and innovations are required as physician leaders and medical educators strive to accelerate changes in medical education and practice to meet the needs of evolving populations and systems. The purpose of this paper is to introduce gaming science as a lens to magnify HSS integration opportunities in the scope of medical education and practice. Evidence supports gaming science innovations as effective teaching and learning tools to promote learner engagement in scientific and systems thinking for decision making in complex scenarios. Valuable insights and lessons gained through the history of war games have resulted in strategic thinking to minimize risk and save lives. In health care, where decisions can affect patient and population outcomes, gaming science innovations have the potential to provide safe learning environments to practice crucial decision-making skills. Research of gaming science limitations, gaps, and strategies to maximize innovations to further advance HSS in medical education and practice is required. Gaming science holds promise to equip health care teams with HSS knowledge and skills required for transformative practice. The ultimate goals are to empower providers to work in complex systems to improve patient and population health outcomes and experiences, and to reduce costs and improve care team well-being. Keywords: gamification, simulation, population health, Quadruple Aim
