A framework to integrate AI into clinical practice.
EHRs were supposed to be the “transformative technology” to simplify care. Instead, physicians found themselves buried in operational tasks — staring at screens, clicking through endless alerts, finishing notes long after the last patient had gone home. At the same time, radiologists watched imaging volumes climb and backlogs quietly accumulated.
When speaking with healthcare leaders about the potential of AI, what strikes me most in these conversations is the hope they carry. Despite their past experience with transformative technology, they are expressing not cautious optimism, but real, genuine hope that AI could lift enough administrative burden to let clinicians practice the way they always envisioned: present, focused and joyful.
To bring humanity back to medicine – in a field where human lives depend on it – that is the opportunity at hand and where transformative technology reaches its true potential
At Vanderbilt University Medical Center, CIO and pediatric critical care physician Neal Patel, MD, MPH, has witnessed every wave of health IT hype—from early order entry to today’s advanced AI. He describes the “post‑commercial EHR era” as a time when many clinicians felt the computer had taken away the joy of medicine, and sees AI as an opportunity to bring that joy back into clinical practice and clinician well-being.
As Vanderbilt has deployed imaging AI solutions, radiologists and emergency care teams are seeing improved efficiency, earlier escalation of time‑sensitive findings and a peace of mind that makes it easier to go home at the end of a shift without replaying the worklist in their minds. Clinicians have told Neal that the impact is “life changing”: less work following them home, more time with their kids and a renewed sense that technology is finally working for them, not the other way around.
Temple University Health System EVP and CIO Debbie Cancilla has been candid about choosing AI that genuinely simplifies clinicians’ days — rather than layering on more digital tasks. For her, the right technology reduces friction, supports better care and makes it easier for people to leave work at work.
For many radiologists, AI’s impact shows up first in their worklist. For these radiology-led teams, the value isn’t that “AI analyzes the scan,” but that they feel, in their words, “AI has their back.”
At Mercy, Executive vice president and chief operating officer Dr. John Mohart,, describes how AI is changing patient case flow out of the ED waiting room. Instead of reading head CTs or CTPAs strictly “first in, first out,” AI flags suspected acute pathologies like brain bleeds, pneumothorax, free air in the abdomen or pulmonary embolus and alerts the radiologist, so those patients are escalated faster and see better outcomes.
Across systems like Hartford HealthCare, Methodist Healthcare, Temple and others, there is broad agreement that workflow is where joy is won or lost. Hartford’s Chief Clinical Innovation Officer and CMIO Barry Stein, MD, looks for AI that measurably improves access, safety and efficiency while relieving documentation and imaging interpretation burdens—not just tools that look impressive on slides. Methodist CIO Eddie Cuellar underscores that FDA clearance alone is not enough; solutions must prove, head‑to‑head, that they truly fit into clinical workflows and make them more efficient.
Neal Patel brings it back to a simple litmus test: introduce automation into the workflow, not extra steps—and once you turn the solution on, people should care if you turn it off. When that bar is met, adoption stops being a change‑management battle. Clinicians ask for more, not less, because they feel the difference in their day.
AI helps radiologists move from backlog and stress to confidence and collaboration, and it is bringing clinical purpose back into practice.
AI should be held to that standard. Not just accuracy and ROI, but how it feels to practice medicine with these tools in the loop, and in turn this brings us closer to the environment clinicians deserve: less clerical work, less burnout, more time at the bedside and more evenings with their families. That is the future of clinical AI our customers are building—and the one worth insisting on as joy returns to the center of medicine.
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