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Artificial Intelligence & the Health Care Workforce

Date: 09/24/2019

9:30 AM - 10:30 AM

Course Curriculum
The history of technological development has clearly shown that new technologies have created more jobs than they have replaced. Innovative technologies frequently result in greater demand and greater productivity, which has been good for job markets. However, artificial intelligence products, especially characterized by “deep learning” computational functions, are generating concern among futurists who worry that these technologies will increasingly assume human job functions without improving job prospects for human workers. Already, numerous job sectors including banking, delivery services assembly line tasks are expected to be replaced by AI run devices over the next years.

This presentation will examine these projections within the health care industry, where there is concern that AI technologies will assume numerous job functions including image dependent disciplines, coding and billing, and voice recognition and natural language processing activities. There is a high level of private investment in these technologies and numerous AI driven technologies will appear in western hospitals and clinics in the very near future. Challenges will involve how to re-engineer the workforce in light of likely job disruption and understand the implications of AI for the future of work and leisure.


John Banja, PhD, Professor and Medical Ethicist
Department of Rehabilitation Medicine
at the Center for Ethics at Emory University

Dr. Banja has conducted research and educational projects with numerous federal and private organizations. He currently serves as the editor of the American Journal of Bioethics-Neuroscience. His research interests include patient safety, neuroethics and ethical dilemmas occurring in clinical and translational research. His most recent book, Medical Errors and Medical Narcissism, was published in 2005.

The speaker has no real or perceived conflicts of interest that relate to this presentation.

Learning Objectives
At the conclusion of this session, participants will be able to:

  1. Describe various AI technologies that are currently in development;
  2. List considerations that may propel or slow their adoption in the health care industry;
  3. Describe the problems that AI technologies will create for organizational leadership and regulatory entities;
  4. Discuss the ways AI may alter the health care workforce and their workflows;
  5. Identify considerations that health care leadership should be entertaining in order to prepare for what may be an extraordinarily disruptive era in the western healthcare industry.