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Innovate Health

Innovate Health

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Explore the breakthroughs, bold ideas, and rising innovations reshaping patient care and life science. From new technology to fresh thinking in medicine, discover what's next for healthcare and everyone working to keep us well. Produced by OHSU clinical informatics and Strategic Communications.

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Épisodes
  • AI Healthcare Staffing Optimization: From Hero Staffing to Best-Fit OR Teams

    AI Healthcare Staffing Optimization: From Hero Staffing to Best-Fit OR Teams
    Jun 9 2026
    Fragmented perioperative staffing models — driven by siloed knowledge, manual scheduling, and overreliance on hero staff — create inefficiencies that delay surgical access and increase staff burnout. This discussion highlights how an AI-powered staffing optimization platform leverages real-time workforce data and case-history intelligence to automate assignments, standardize decision-making, and improve OR throughput, care consistency and team scalability. In this episode we cover: - AI-Powered Perioperative Optimization: How predictive staff-to-case matching improves surgical efficiency, reduces case duration, and enhances patient care consistency. - Operational & Technical Barriers: The challenges of replacing manual, siloed scheduling systems with integrated AI tools across OR workflows and workforce systems like Kronos and EHRs. - Leadership & Transformation Strategy: Lessons on driving adoption through frontline engagement, co-design, and reframing AI as augmentation—not replacement—of clinical expertise. Episode Timeline and Key Takeaways 00:05 – Introduction and Context: The current landscape of perioperative operations, highlighting the hidden complexity of getting patients efficiently from scheduling into the operating room. 03:44 – Addressing the Staffing Optimization Problem: Why traditional “hero staffing,” siloed expertise, and manual, paper-based scheduling fail to scale in modern healthcare infrastructure. 16:04 – Technical Deep Dive: Breaking down how the AI staffing platform integrates Kronos workforce data and EHR-derived case history to match staff expertise with surgical needs and enable automated assignments. 25:50 – Workforce, Research and Education Impacts: How this shift improves care consistency, reduces administrative burden and creates new opportunities for staff development, cross-training and competency tracking. 34:25 – Future Outlook: Where AI-driven staffing and resource optimization will expand to next.
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    42 min
  • Back to the Patient: How AI Scribe is Changing the Visit

    Back to the Patient: How AI Scribe is Changing the Visit
    Apr 21 2026
    Ambient AI scribe technology is redefining clinical documentation by reducing cognitive and administrative burden while restoring patient-centered care. Through a rigorously evaluated, data-driven implementation, OHSU demonstrates how AI-assisted documentation can cut charting time in half, improve clinician retention, and enhance the quality and accessibility of clinical data—without compromising oversight or patient trust. In This Episode, We Cover: - Ambient AI in Clinical Practice: How automated documentation tools reduce clinician burnout and improve patient-provider engagement. - Enterprise Implementation Strategy: The technical, operational, and procurement challenges of deploying AI scribe solutions across a large academic health system. - Future of Clinical Workflows: Key insights for health system leaders, educators, and researchers on scaling AI responsibly while preserving clinical judgment and training integrity. Episode Timeline and Key Takeaways 00:00:05 – Introduction and Context: Overview of AI scribe technology and its role in transforming documentation and clinician workload. 00:04:11 – Addressing the Documentation Burden: Clinicians describe the evolution from paper charts to EHRs and how documentation demands introduced inefficiencies, distraction, and burnout. 00:10:43 – Technical Deep Dive: OHSU’s rigorous vendor selection process, including RFP across 12 vendors, pilot testing with 100 clinicians, and data-driven evaluation using Epic Signal metrics. 00:17:33 – Research & Education Impacts: Real-world use of AI scribe shows reduced charting time, improved note quality, and implications for clinical training, cognitive workflows, and learner development. 00:34:28 – Future Outlook: Advancements may include clinical decision support integration, automated order entry, and reduced reliance on manual documentation, reshaping both care delivery and medical education.
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    42 min
  • Saving Sight with Light: Dr. Huang and OCT

    Saving Sight with Light: Dr. Huang and OCT
    Mar 19 2026
    In this episode, Dr. David Huang tells the story of how optical coherence tomography (OCT) grew from a single research project in an MIT lab into a mainstream medical technology that saves the eyesight of millions and launched an entirely new field of innovation. He reflects on the teamwork and collaborators who shaped the breakthrough—and why working with people has been the highlight of his career. Dr. Huang also looks ahead, sharing what his team is developing now and how OCT’s next generation could transform early detection and treatment even further.
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    36 min
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