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Assistant Professor

Joyvina Evans

After an extensive career working in research, Dr. Evans transitioned into higher education. She has worked as a subject matter expert on course developments, professor, and in leadership positions within undergraduate/graduate healthcare administration and public health programs. She holds an extensive background in online education and has experience with online platforms including Blackboard Ultra, Moodle, Brightspace, and Canvas. Dr. Evans has presented at numerous conferences, such as conferences hosted by the following organizations/institutions: Harvard University T.H. Chan School of Public Health, University of Georgia-ENGAGE, LaRoche University, Asian University for Women, Adult Higher Education Alliance, and Competency-Based Education. Dr. Evans research interests include women's health, reproductive health, health disparities, and health equity. She is a participant in the Society of Transnational Academic Researchers (STAR) Network and currently completing the Certified Research Scholar Training.

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Contributor Brief·Joyvina Evans · 1 article
Updated Aug 2, 2023

AI adoption in healthcare requires managing workforce paradox: acceptance without readiness

Evans argues that healthcare workers show surprising openness to AI implementation despite legitimate concerns about operational disruption and job security. She contends that embracing AI requires simultaneous attention to both technological integration and the human costs of adoption—a balance healthcare systems currently fail to strike.

Nearly 50%

of healthcare workers support AI despite implementation concerns

“AI technology promises efficiency gains healthcare workers actually want, if implementation challenges don't destroy trust first.”

Using AI in Healthcare is a Great Prescription for Healthcare Workers and Administrators, Though It Comes With Side Effects

Healthcare worker attitudes toward AI adoption drivers

Efficiency and workload reduction9
Patient care quality improvement8
Implementation clarity and training4
Job security and role preservation3

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38%Efficiency and
Efficiency and workload reduction
Patient care quality improvement
Implementation clarity and training
Job security and role preservation

2 sides

of healthcare AI adoption measured by Evans: acceptance versus readiness gap

Healthcare administrators underestimate how quickly worker skepticism transforms into resistance when implementation lacks transparency.

Using AI in Healthcare is a Great Prescription for Healthcare Workers and Administrators, Though It Comes With Side Effects

Side effects of AI adoption—role disruption, training gaps, autonomy loss—may outweigh efficiency gains if unmanaged.

Using AI in Healthcare is a Great Prescription for Healthcare Workers and Administrators, Though It Comes With Side Effects

“Healthcare embraces AI's promise while ignoring its organizational costs.”

Themes:Adoption-readiness paradox in healthcare technologyImplementation costs versus efficiency promisesWorkforce sentiment as AI deployment risk factor

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