A framework to integrate AI into clinical practice.
A discussion with Michael Young, Outgoing President and CEO of Temple Health
After nearly four decades in healthcare leadership, Michael Young has seen a lot of digital health trends come and go. AI is different. In a recent discussion, the recently retired president and CEO of Temple Health reflected upon how the health system moved from curiosity to conviction with clinical AI — and why the window for inaction has closed.
The Healthcare Tipping Point
Healthcare has reached a breaking point, with longstanding workforce shortages colliding with rising demand, increasing both complexity and the sheer volume of data clinicians are expected to process. With fewer radiologists, nurses and specialists available, the traditional model of care is becoming unsustainable. AI is emerging as a necessary response — not to replace clinicians, but to augment their capacity. By automating repetitive tasks, surfacing critical insights in real time and reducing the burden of manual data review, AI allows care teams to focus on higher-value clinical decisions and top-of-license care. In this context, AI is not a future innovation, but a practical solution to a structural challenge the healthcare system can no longer ignore.
When Temple Health began evaluating clinical AI solutions, the field was noisy. Young’s team cut through it with a clear filter: integration capabilities, focus and proven functionality.
“Aidoc came out as the only FDA-approved across many solutions,” Young noted. “Aidoc had expertise in imaging, PACS, actual solutions, and actual operating software. It was, for us, a pretty simple solution.”
A year and a half in, that assessment hasn’t changed. Young described Aidoc as “light years, two years ahead of most everybody else” — something he attributes to the company’s singular focus on solving real operational problems rather than building features for their own sake.
One area where that focus proved decisive: EHR integration. Epic and PACS don’t naturally talk to each other, and the gap creates friction that slows down care. Young described finding a company capable of navigating both as “very unusual” — and credited that capability as central to Temple Health’s decision to partner with Aidoc.
For Temple Health, the value of clinical AI isn’t just about efficiency or diagnostic confidence — it’s about how information moves across the care team.
“Aidoc understands not just the image, but who is using it, how they’re using it and how it connects to the medical record.”
By embedding insights directly into workflows — from radiology to the emergency department to hospitalists — AI becomes operational, not theoretical.
As a public hospital, Temple Health doesn’t have margin for error on technology investments. Young described an internal review process that’s deliberately rigorous: every proposed software acquisition goes before a monthly IT strategy committee, and the second question on the agenda is always return on investment (ROI).
“We’re pretty used to asking that question, and if we don’t get the right answer, we don’t install or acquire that software.” Young shared.
Perhaps the biggest shift is how AI is perceived internally.
“This is not a concept anymore,” Young said. “You can touch it. You can use it.”
Clinicians are ready. Leadership is aligned. And AI is now viewed as essential infrastructure.
Young believes the future of healthcare will look fundamentally different. He posited that it will look less like a system of buildings, and more like a data-driven platform.
“Healthcare is 80% information and 20% hands-on. We’ve focused on the buildings. Now we’re finally unlocking the data.”
In that future, AI will surface even more critical insights in real time, reduce variability in care and connect care in transformative ways for clinicians, patients, and the health systems that serve them..
To learn more about how Aidoc partners with health systems to operationalize clinical AI, click here.
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