AMS Healthcare Fellowship in Compassion and Artificial Intelligence

How to Apply: 
Technology will transform healthcare in ways we are only beginning to understand and healthcare’s readiness to embrace this transformation – and ability to translate technology opportunities into sustainable solutions to the most pressing issues in healthcare – will be the central challenge for practitioners, providers and policymakers alike.  Expectations about compassionate care will also evolve as patients increasingly look for empathy, as well as connectedness, responsiveness, and empowerment to act together to improve health and address illness.  AMS Healthcare is inviting health professionals, educators, academics and clinicians of all disciplines to seize the opportunity to explore and lead this transformation by deepening our understanding of the various aspects of compassion in the light of emerging disruptive healthcare technologies in order to better enable healthcare’s compassionate purpose.
 
The AMS Healthcare Fellowship in Compassion and Artificial Intelligence provides highly qualified individuals (prepared with either a PhD or Master’s degree) a unique opportunity to apply their research and analytic talents to the critical challenge of the impact of DT/AI on the delivery of compassionate healthcare.  This innovative 12-month fellowship program is intended to build capacity in the healthcare research and academic community to take advantage of emerging DT/AI approaches and the intersection with compassionate care.  To achieve this goal, AMS Healthcare’s efforts are focused on early and mid-career interdisciplinary professionals, seeking experiential learning and research opportunities in compassionate care and DT/AI approaches.  The focus of the fellowships will be on practice, education and/or research in health systems and related fields to improve patient care and enhance the education of students and practicing health professionals.   
 
Core criteria for the fellowships include: 
(1) the fellowship explores specific attribute(s) of compassion (i.e., provider-patient relationship, equity, trust, patient safety, suffering, provider burnout, etc.) in relation to digital technology/AI; 
(2) Compassion is clearly conceptualized and defined in the proposal; and  (3) the exploration of compassion in relation to digital technology/AI is core to the proposal.
 
These awards provide fellows with the opportunity to dedicate a portion of their time (to be specified in the application) to become immersed in this topic area and benefit from mentorship by leaders, collaborating across disciplines, while also making it possible to protect a portion of time for academic research.  Flexibility in the time commitment will enhance the learning experience.  Fellows require a sponsoring institution that will provide support and resources to the applicant, an appropriate supervisor, as well as oversight of the financial aspects of the award. Fellows must also identify a suitably qualified mentor who will enrich this learning experience, provide advice and encourage the Fellow throughout the term of the award.
External Deadline: 
Tuesday, January 17, 2023
Funding Source: 
External
Funding Level: 
Research