HDM KLASroom (CxE1S3): Clinician Experience – AI and the clinical experience
Adoption of AI across health care has been limited when it comes to improving patient care. While there are myriad reasons for this, CCM’s Top of Mind research identified a lack of trust and buy-in, especially by physicians, as the biggest challenge facing AI in health care.
AI was identified as the most exciting emerging technology in health care in each of the past two “Top of Mind for Top Health Systems” research reports published by the Center for Connected Medicine (CCM). The technology is often heralded for its potential to improve patient care, reduce the administrative burden on physicians, and bring greater efficiencies to hospital operations.
Despite this potential, adoption across health care has been limited when it comes to improving patient care. While there are myriad reasons for this, the Top of Mind research identified a lack of trust and buy-in, especially by physicians, as the biggest challenge facing AI in health care. This is a critical area for health care technology leaders to address if AI is to have a meaningful impact on the industry.
With this background in mind, this discussion explores how health care leaders and AI experts can help build trust in AI, and other new technologies.
- The view of AI’s potential to improve clinician and care team experiences. What about outcomes for patients?
- Areas where AI technology is becoming commonplace and what has led to clinicians trusting its use?
- The role technology companies should have in bringing AI to health care
- The potential for bias in algorithms diminishing trust in the technology and how to overcome that bias
Educators:
UPMC: Oscar Marroquin, MD, FACC, Chief Healthcare Data and Analytics Officer
Emory University School of Medicine: Judy Wawira Gichoya, MD, Assistant Professor, Department of Radiology
UPMC Enterprises & the Center for Connected Medicine: Alex Nixon, Senior Research Analyst