Healthcare leaders increasingly emphasize that introducing artificial intelligence tools isn’t just a technology upgrade — it requires thoughtful organizational change management to succeed in real clinical and administrative settings. Simply deploying AI models or software won’t automatically deliver better care or efficiency; health systems must also prepare clinicians, staff, and workflows for these changes. This perspective was highlighted by Dr. Kari Yacisin, a physician and former CDC expert, in a discussion previewing her workshop at the 2026 HIMSS Global Health Conference and Exposition.
A major focus of the change management approach is protecting clinician trust and well-being. As AI moves from pilot projects into daily use, clinicians — who already face high workload and burnout — need to be engaged meaningfully in adoption decisions. Without transparency, governance, and active involvement, even well-intentioned AI tools can feel like added pressure rather than support, potentially eroding autonomy and trust among healthcare professionals.
Experts argue that readiness for AI must be assessed not only in terms of technical capability but also human readiness. Organizations should help staff understand how AI fits into roles and workflows, and provide training and governance frameworks that reassure clinicians about reliability, accuracy, and ethical use. Frameworks such as organizational behavior models — including established strategies like John Kotter’s change management steps — can help guide leadership through the cultural transition required for AI to be both accepted and effective.
Ultimately, the message from healthcare IT leaders is clear: successful AI adoption is as much about managing people and processes as about deploying algorithms and infrastructure. Health systems that combine technology with robust change management, clinician engagement, and ethical oversight are more likely to realize the benefits of AI — improving patient care, reducing administrative burdens, and preserving the human aspects of healthcare delivery.
