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What Health Systems Get Wrong When They Buy AI

What Health Systems Get Wrong When They Buy AI

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Most conversations about AI in health systems are about the model. This one is about the invoice, the incentives, and the data underneath. Dr. Alan Young has sat in nearly every seat at the table, vendor CMO, consultant, health-system operator, and buyer-side committee chair, which makes him unusually candid about what each one actually optimizes for.Now with Evidently, a clinical data intelligence platform, Dr. Young joins host Dr. Junaid Kalia with co-hosts DR GPT™ Harvey Castro and Dr. Isha Mannering to name what health systems get wrong when they buy AI. The costs nobody budgets for (compute, cloud, data centers, far beyond the SaaS line). The misaligned incentives that push executives to cut headcount in ways that quietly degrade care. The data-veracity problem (what is a trillion data points worth if twenty percent is wrong?). And the ROI math that is more honest than the marketing: Junaid’s “soft ROI” of keeping one irreplaceable specialist versus the hard-dollar savings. It ends on the optimistic turn, ambient AI pulling clinicians toward adoption, costs trending to zero, and a future that looks more like health care than sick care.What You Will Discover:Cold open: survive, get consolidated, or go out of business Welcome: meet Dr. Alan Young, who has sat in every seat The hidden cost of AI, and the incentives that bite (Alan Young)Soft ROI vs hard ROI: the irreplaceable-specialist math (Junaid) Data veracity: what is bad data actually worth? (Alan Young) Harvey’s digital twin, the future for everyone (DR GPT™ Harvey Castro) Cost of AI heading to zero, and rising customer expectations (Junaid) Stop making patients repeat their history (Dr. Isha Mannering) From sick care to health care: a basic level of care for all (Alan Young) Close, and a teaser: the medical-legal episode is comingReferenced in the show:🖇️ Evidently: an AI clinical data intelligence platform reading structured and unstructured EHR data 🖇️ The hidden total cost of AI: compute, cloud, and data-center spend beyond the SaaS subscription 🖇️ “Pilot purgatory” and the gap between pilot ROI and production ROI 🖇️ Data veracity: the value of a dataset when a fifth of it is inaccurate 🖇️ Ambient AI and the clinician “pull-through” effect 🖇️ Signal & Symptoms Ep 54 (Dr. Alan Weiss): genetic testing at scaleConnect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn: https://www.linkedin.com/in/junaidkaliamd 🔗 Website: https://www.junaidkalia.com/ 📹 YouTube: https://www.youtube.com/@junaidkaliamd DR GPT™ Harvey Castro, ER Physician (co-host) 💼 LinkedIn: https://www.linkedin.com/in/harveycastromd/ 🔗 Website: https://www.harveycastromd.comDr. Isha Mannering (co-host) 💼 LinkedIn: https://www.linkedin.com/in/isha-mannering Special Guest:Dr. Alan S. Young, MD, MBA, physician executive with Evidently (clinical data intelligence); background across vendor, consulting, and health-system leadership 💼 LinkedIn: https://www.linkedin.com/in/alansyoung Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI, at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor and patient relationship. Views expressed by the guest and co-hosts are their own and do not represent their employers. No specific vendor or product is endorsed. No PHI is shared.
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