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A UVA Health emergency medicine doctor and colleague at Clemson University have developed the Total Mission Value framework to help hospitals integrate artificial intelligence in a way that not only increases efficiency and cuts costs, but ensures high-quality patient care remains the top priority.
Why the Total Mission Value Framework Was Created
With the massive potential of artificial intelligence to transform healthcare in the coming years, UVA’s R. Andrew Taylor, MD, MHS, and Clemson’s Arwen B.L. Declan, MD, PhD, created the new framework to ensure healthcare remains “rooted in its ethical obligations” to serve patients, communities and local workforces, they say in a new paper outlining their creation. The framework arrives as hospitals face mounting pressure to adopt AI quickly, often with little practical guidance on how to weigh a tool’s worth beyond its price.
A Pyramid Built on Ethics
Declan and Taylor’s framework puts patient care and the patient experience at the top of a pyramid built on a foundation of ethics and supported by a base of economic sustainability. It emphasizes that AI should support care providers in their mission rather than replace them or simply create more work for them.
Why Cost-Only Evaluation Falls Short in the Total Mission Value Framework
“AI is being adopted in medicine at a scope and velocity we have never seen before, but hospitals haven’t had a good way to weigh these decisions as a whole,” said Taylor, vice chair of research and innovation for the University of Virginia School of Medicine’s Department of Emergency Medicine. “Typical approaches tend to measure cost, because cost is the easiest thing to measure. We built this framework to give organizations a structured way to also weigh what an AI tool does for patients, for staff and for the quality of care.”
AI’s Promise Cuts Both Ways
Declan and Taylor are candid that AI’s promise cuts both ways. “AI tools could enhance care speed, diagnostic accuracy and cost efficiency while supporting population health, scientific inquiry and operational management,” they note in their paper. “However, they also introduce risks of bias, opacity, workforce displacement and erosion of the patient-clinician relationship that are invisible to cost-focused analyses.”
Five Priorities Behind the Total Mission Value Framework
Declan and Taylor note that hospitals have lacked a structured way to weigh these choices as a whole, since standard approaches for evaluating new technology tend to center on cost. Their framework is built to fill that gap, integrating five “ethically grounded” priorities: patient care, staff experience, hospital operations, economic impact, and education and research.
Patient Care and Staff Experience at the Core
Patient care, which the authors place at the top of the framework, emphasizes the importance of “patient-centered” care and traits such as integrity, honesty, trust, compassion and respect. The staff-experience category, meanwhile, calls for hospitals to use AI to drive workforce development, teamwork and collaboration across disciplines.
Why Narrow Evaluation Undermines the Total Mission Value Framework’s Goals
Declan emphasizes that realizing AI’s full potential means resisting the urge to evaluate it narrowly. “Hospitals are seeing a huge number of new AI tools marketed to improve healthcare. The challenge is to figure out which ones actually will,” said Declan, clinical assistant professor in Clemson University’s School of Health Research. “That requires weighing an AI tool’s impact across clinical, operational and financial dimensions, while keeping patient care at the center of every decision.”
Patient Care as the Central, Defining Mission
Ultimately, it is vital that hospitals remember that patient care is their “central, defining mission,” Declan and Taylor write, a principle that anchors every layer of the Total Mission Value framework.
How the Total Mission Value Framework Could Speed AI Adoption
“Our hope is that keeping the mission front and center actually speeds good AI adoption rather than slowing it down, because it builds the trust that patients and clinicians need,” Taylor said. “Technology should help us take better care of people. If we keep that as the goal, the efficiency and the savings tend to follow.”
What This Means for Hospitals Evaluating AI
By reframing AI evaluation around patient care, staff experience, operations, economics, and education rather than cost alone, the Total Mission Value framework offers hospitals a structured alternative to the ad hoc, cost-driven decision-making that has often characterized rapid AI adoption across the industry. As more health systems face pressure to distinguish genuinely valuable AI tools from those simply marketed as improvements, frameworks like this one could help organizations build the kind of clinician and patient trust that ultimately determines whether new technology succeeds or gets abandoned after a costly rollout.
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