Feel free to reach out if you are interested in discussing…
the ethics of medical sales and marketing;
the ethical use of AI in the delivery of healthcare;
ethical listening and patient care;
ethically navigating uncertainty in health care;
or the response to the U.S. opioid epidemic, almost three decades in.
Conference Presentations
Healthcare Ethics Consortium (HEC) Annual Conference:
Poster entitled “The Art of Medicine in the Age of AI: A Proposal for How to Engage with Predictive Risk Algorithms” presented at HEC Annual Conference,
“A Call to Action: Ethics Effectiveness in a Rapidly Shifting Healthcare Landscape.”
Emory University Center for Ethics, March 2023.
Invited Talks
Emory School of Nursing:
“The Art of Medicine in the Age of AI: Responsibly Engaging with Predictive Risk Algorithms.” Interactive lecture with Master of Nursing Students during their last semester in course entitled “NSRG 616MN: Foundations of Health Care Quality and Patient Safety”,
Nell Hodgson Woodruff School of Nursing, Emory University, June 2023.
Course Development
Healthcare Ethics Leadership Academy (HELA):
“The Art of Medicine in the Age of AI” is an eight-session course charted
via readings and discussion objectives that will contextualize
the use of artificial intelligence and machine learning algorithms
within the practice – or art – of medicine.
Developed as capstone project for HELA certification program,
Emory University Center for Ethics, May 2023.
Topic & Materials: The course focuses on both the upstream “ethics of innovation” and the downstream implications of implementing AI within the healthcare system, specifically to address the public health crisis of the opioid epidemic. Readings will focus on inequities and biases codified and perpetuated by AI in healthcare along with frameworks for how to identify inequitable algorithms.
Goals: After this course, students are better equipped in their positions of power as users of AI to be responsible stewards of the technology, promoting ethical use of AI in healthcare: maximizing quality, person-centered care and minimizing harm.
Learning Objectives:
By exploring the legal and regulatory environment along with the ethical tensions inherent in product development, students will build a foundation for understanding the complexity of AI and the often-contradictory objectives present within the product life cycle from conception to real-world utilization.
Students will also become familiar with the multifaceted ways AI can influence – often surreptitiously – their own treatment decisions, impacting patient safety and outcomes.
To teach students how to ethically engage with AI, the class highlights frameworks for how to embrace the uncertainty entailed by the practice of medicine to deliver person-centered care.
The course culminates in the case study of NarxCare, an algorithm embedded in the electronic health record and used to ‘predict’ a patient’s risk of misusing, abusing (or overdosing) opioids.