Location
Havener Center, Miner Lounge / Wiese Atrium, 9:30am-11:30am
Start Date
4-1-2026 9:30 AM
End Date
4-1-2026 11:30 AM
Presentation Date
April 1, 2026; 9:30am-11:30am
Description
Artificial intelligence (AI) has the potential to improve efficiency in healthcare, yet its adoption remains limited, with only 22% of healthcare organizations having implemented domain-specific AI tools. Adoption may be especially complex in specialized domains such as organ transplantation, where ethical, legal, and operational challenges are dominant. This study examined factors influencing AI acceptance within Organ Procurement Organizations (OPOs), focusing on technological, organizational, and environmental contexts.
Semi-structured interviews with 16 OPO executives from 10 OPOs revealed key tensions shaping AI adoption. We identified five tensions that are holding back OPO leaders from AI adoption, (1) misconceptions, (2) training approach, (3) need for AI expertise, (4) impact of organization size, and (5) top-down versus bottom-up adoption viewpoints. Overall, these findings highlight critical barriers to AI integration in OPOs and underscore the need for targeted strategies that address organizational readiness, education, and trust to support a successful implementation.
Biography
Joely Grace Hall is a fourth-year student obtaining her Bachelors of Science in Psychological Sciences at Missouri S&T, graduating in May 2026. Working under Dr. Shank and Dr. Canfield, she contributes to an NSF-funded research project developing an AI algorithm to optimize kidney allocation and improve transplant outcomes. Her interdisciplinary interests in psychology and biology reflect a commitment to advancing healthcare practices through innovative solutions. She is particularly interested in the ethical and clinical implications of emerging medical technologies. After graduation, she plans to pursue a master’s degree in genetic counseling.
Meeting Name
2026 - Miners Solving for Tomorrow Research Conference
Department(s)
Engineering Management and Systems Engineering
Second Department
Psychological Science
Document Type
Poster
Document Version
Final Version
File Type
event
Language(s)
English
Rights
© 2026 The Authors, All rights reserved
AI Adoption Tensions for Organ Procurement Organizations
Havener Center, Miner Lounge / Wiese Atrium, 9:30am-11:30am
Artificial intelligence (AI) has the potential to improve efficiency in healthcare, yet its adoption remains limited, with only 22% of healthcare organizations having implemented domain-specific AI tools. Adoption may be especially complex in specialized domains such as organ transplantation, where ethical, legal, and operational challenges are dominant. This study examined factors influencing AI acceptance within Organ Procurement Organizations (OPOs), focusing on technological, organizational, and environmental contexts.
Semi-structured interviews with 16 OPO executives from 10 OPOs revealed key tensions shaping AI adoption. We identified five tensions that are holding back OPO leaders from AI adoption, (1) misconceptions, (2) training approach, (3) need for AI expertise, (4) impact of organization size, and (5) top-down versus bottom-up adoption viewpoints. Overall, these findings highlight critical barriers to AI integration in OPOs and underscore the need for targeted strategies that address organizational readiness, education, and trust to support a successful implementation.
Comments
Advisor: Casey I. Canfield, canfieldci@mst.edu