Experiential Learning in Clinical Settings and Its Benefit to Public Health and Health Administration

Experiential learning is becoming more widely recognized as a necessary strategy for acquiring applied competencies in various healthcare-related areas. Although simulation-based experiential learning strategies are widely adopted in clinical disciplines like nursing, their application to other healthcare professions, namely those related to public health and health administration, is yet underdeveloped. This paper examines how existing models of clinical experiential learning can be transferred to other healthcare disciplines and the importance of AI and digital twin technologies for further development of the latter. For this study, a systematic review of the relevant literature was performed, covering the results of clinical simulations, public health training strategies, and emerging educational models based on the utilization of AI. It appears that the main benefits of using experiential learning include improvement in such competencies as leadership skills, systems thinking, crisis response planning, and communication skills. Also, innovative approaches to utilizing the potential of AI technologies and digital twins should be noted. Nevertheless, some limitations of the current research in terms of the lack of empirical data in relation to administrative and public health contexts. This paper highlights the need for future research to evaluate long-term outcomes and proposes a framework for integrating AI-enhanced experiential learning into health administration and public health curricula.