『The Smart Care Team Spotlight Podcast』のカバーアート

The Smart Care Team Spotlight Podcast

The Smart Care Team Spotlight Podcast

著者： Molly McCarthy
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概要

 In a rapidly evolving healthcare landscape, the challenges faced by clinicians are mounting. Join host Molly McCarthy MBA RN-BC, former US Microsoft CNO, as she leads captivating conversations with today’s health leaders about the game-changing potential of AI and Ambient Intelligence for care teams. Visit virtualnursing.com, your go-to resource for accelerating the transition to smart care teams. Presented by care.ai ®.care.ai 衛生・健康的な生活 身体的病い・疾患
エピソード
  • Episode #62. From Bedside to Big Impact: Nurses Driving Healthcare Change

    Episode #62. From Bedside to Big Impact: Nurses Driving Healthcare Change
    2026/02/25
    Real progress in healthcare tech happens when nurses co-design the tools and the how is treated as seriously as the what. In this episode, Dr. Susan D. Smith, Director of Technology Research and Education at ChristianaCare and a nursing technology researcher, discusses how she moved from pediatric critical care into practice-based research and helped launch collaborative robots in a complex hospital environment. She shares what worked, including simple usability and clear value for routine deliveries, and what surprised her team, such as low demand for a nurse-facing robot call option when staff needed items immediately. Dr. Smith breaks down why missing pieces like reliable timing, visibility into when help is arriving, and workflows that pair equipment with medications can derail adoption even when the tech functions as designed. She also explains how a robotics-focused nursing research fellowship improved engagement and well-being, plus her statewide work building research capacity through NIH programs and a research-matching platform that connects mentors and collaborators. Tune in and learn how to move from big ideas to sustainable, nurse-led implementation! Resources: Connect with and follow Dr. Susan D. Smith on LinkedIn. Follow ChristianCare on LinkedIn and explore their website! Nurse-Led Innovation Hub and implementation blueprint https://christianacare.org/us/en/for-health-professionals/nursing/nurse-led-innovation Integrating Collaborative Robots into a Complex Hospital Setting: A Qualitative Descriptive Study - PMC
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    44 分
  • Episode #61. ER to AI: A Nurse Practitioner Rewires the Healthcare Playbook, with Dylan Wallace, Family Nurse Practitioner at MedStar Medic

    Episode #61. ER to AI: A Nurse Practitioner Rewires the Healthcare Playbook, with Dylan Wallace, Family Nurse Practitioner at MedStar Medic
    2026/02/04
    Nursing, technology, and health equity collide! In this episode of the Smart Care Team Spotlight, Dylan Wallace, Family Nurse Practitioner at MedStar Medical Group, discusses how nurses can leverage technology to enhance patient care. She shares her journey from ER nurse to nurse practitioner, her work with underserved populations, and her commitment to health equity. Dylan also highlights the role of telemedicine, remote monitoring, and AI, while offering advice to nursing students and early-career nurses to focus on experiences, fundamentals, and critical thinking. Tune in and discover how nursing expertise is shaping the future of patient-centered healthcare! Resources: Connect with and follow Dylan Wallace on LinkedIn. Follow MedStar Health on LinkedIn and visit their website!
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    21 分
  • Episode #60. Why The Future Nurse Shift Won’t Start With A Keyboard, with Gregg Springan, a Nurse Executive for Epic

    Episode #60. Why The Future Nurse Shift Won’t Start With A Keyboard, with Gregg Springan, a Nurse Executive for Epic
    2026/01/21
    A practical path to reducing clinician burden is using ambient AI to capture documentation, allowing nurses to spend more time with patients. In this episode, Gregg Springan, a nurse executive at Epic, discusses how his ICU background and “listen first” leadership philosophy shape technology designs that serve real clinical workflows. He explains why nurses belong inside health tech companies, then contrasts large-enterprise execution with startup speed from his time in robotics. Gregg dives into the documentation burden problem and what’s actually working in 2026: “nursing out loud” as a workflow shift, inpatient ambient documentation adoption, early results like minutes saved per shift, patient opt-in rates, and improved clinician sentiment. He also breaks down predictive analytics using large-scale de-identified data to inform bedside decisions and clarifies agentic AI—what it is, where it’s safe, and how it can offload administrative work while keeping humans in the loop. Tune in and learn how AI can return time to care teams without sacrificing safety, trust, or human connection! Resources: Connect with and follow Gregg Springan on LinkedIn. Follow Epic on LinkedIn and visit their website! Read the Generative Medical Event Models Improve with Scale paper here.
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    45 分
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