Innovate Health

OHSU

Podcast by OHSU

Episodes

  1. AI Healthcare Staffing Optimization: From Hero Staffing to Best-Fit OR Teams

    6d ago

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

    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.

    42 min
  2. Back to the Patient: How AI Scribe is Changing the Visit

    Apr 21

    Back to the Patient: How AI Scribe is Changing the Visit

    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.

    42 min

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Podcast by OHSU