AI is everywhere in healthcare conversations. This episode asks the more uncomfortable question: what is it actually doing in real hospitals, with real patients, and real constraints?Dr. Mark Bonta sits down with Dr. Joshua Liu, Co-Founder and CEO of SeamlessMD, for a clinician-first, workflow-grounded conversation about where AI delivers value today, where it still falls apart, and why “smart” tools often die quietly at implementation.They unpack why the most immediate wins are not futuristic diagnostics. They are the unglamorous bottlenecks that drain clinical bandwidth: documentation, forms, referrals, and the administrative sprawl that keeps teams stuck in the note instead of at the bedside. From there, the conversation turns to a core systems problem: insight without protocol. A model can predict risk. But if no one knows what to do with the number, nothing changes.You’ll also hear a clear breakdown of “AI agents,” why trust matters more than technology, and how digital care journeys can reduce anxiety, shorten length of stay, and catch post-discharge issues earlier without flooding clinicians with noise.If you are a CMIO, CIO, clinical operations leader, surgical program director, or anyone tired of alert fatigue and “model theater,” this episode will feel uncomfortably familiar in the best way.Dr. Joshua Liu Website https://www.seamless.md/Episode Takeaways1. AI’s First Impact Is Administrative, Not Diagnostic — The biggest gains today are in documentation, forms, and workflow relief, not autonomous clinical decision-making.2. Insight Without Protocol Is Noise — A risk score means nothing unless a care team has defined what to do with it.3. Healthcare Moves at the Speed of Trust — Technology adoption depends less on capability and more on clinician confidence and governance.4. AI Agents Shift from Answers to Action — Moving from chat-based support to systems that execute tasks will redefine clinical workflow.5. Eighty Percent of Patient Concerns Are Low Risk — Smart triage and education can filter noise and reduce unnecessary visits.6. Digital Care Journeys Reduce Variation — Personalized, just-in-time guidance lowers anxiety, shortens length of stay, and reduces readmissions.7. Integration Determines Survival — Tools that do not fit directly into existing EMRs and workflows will not scale.8. Execution Beats Hype — The future of AI in healthcare will be shaped by implementation, not model sophistication.Episode Timestamps01:52 – AI Boom or Bust: What Actually Changes Care03:23 – Predictive Analytics vs Documentation: The Real “Low Hanging Fruit”12:19 – What Is an AI Agent: Chatbot vs Agentic AI16:39 – The Biggest Barrier: Trust, Not Just Privacy22:27 – Why Joshua Chose Startups Over Residency: SeamlessMD Origin Story25:55 – Building Digital Care Journeys: From Surgery to “Birth to Death”30:17 – AI Inside Patient Journeys: Answers Grounded in Vetted Protocols42:03 – The Next Decade: Computer Vision, Robotics, and Physical AIDISCLAMER >>>>>>    The Ditch Lab Coat podcast serves solely for general informational purposes and does not serve as a substitute for professional medical services such as medicine or nursing. It does not establish a doctor/patient relationship, and the use of information from the podcast or linked materials is at the user's own risk. The content does not aim to replace professional medical advice, diagnosis, or treatment, and users should promptly seek guidance from healthcare professionals for any medical conditions.   >>>>>> The expressed opinions belong solely to the hosts and guests, and they do not necessarily reflect the views or opinions of the Hospitals, Clinics, Universities, or any other organization associated with the host or guests.    Disclosures: Ditch The Lab Coat podcast is produced by (soundsdebatable.com) and is independent of Dr. Bonta's teaching and research roles at McMaster University, Temerty Faculty of Medicine and Queens University.