Healthcare AI Pioneers is a twice-monthly national podcast that provides an independent forum for discussing the latest developments, innovations, strategies, and trends that clinicians, administrators, hospitals, and health systems are implementing using healthcare-related AI. The podcast focuses on three core areas: clinician-facing AI, such as in electronic health records and for diagnosis and treatment; administrative- and operational-facing AI, such as revenue cycle management and quality improvement; and consumer-facing AI, such as ChatGPT and wearables. The podcast also includes several impactful features: bonus episodes that cover breaking news; headlines of important AI healthcare developments; and resource links to significant AI healthcare documents and articles. Podcast guests analyze major trends in healthcare AI, share data on the effectiveness of programs, initiatives, and interventions, and discuss relevant AI policy, regulatory, and legal developments. The host, Jesse Pines, is an internationally known physician, innovator, researcher, and author of almost 400 peer-reviewed publications and eight books. Subscribers to the podcast include a broad range of healthcare AI stakeholders, including clinicians, hospital and health system leaders, healthcare AI organizations, policymakers, government officials, advocacy and consumer representatives, attorneys, and consultants.
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Healthcare AI Pioneers is a health podcast hosted by Unknown Host, with 13 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Unknown Host hosts Healthcare AI Pioneers, a health show with 13 episodes published.
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Healthcare AI Pioneers
Bringing AI and Informatics Into Perioperative Care with Duke University
Aug 3, 202635 min
Jesse chats with Hamed Zaribafzadeh, Senior Data Scientist in the Department of Surgery at Duke University, and Dr. Michael Kent, Associate Professor of Anesthesiology in the Ambulatory Anesthesiology Division and Associate Vice Chair Perioperative Informatics in the Department of Anesthesiology at Duke University . Together, they discuss a recent report on healthcare AI at Duke; AI models for scheduling surgeries and allocating surgical resour ces; how surgeons and informatics experts can work together to better leverage AI; using AI for automating the identification of necessary documentation for surgery authorizations and how it can reduce administrative burden; what could be next for Duke in healthcare AI and LLMs; and much more. Jesse also reflects on this key headline: United Health Group reports AI significantly trimmed medical costs in Q2. In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com . Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com . Music by Turning Pages from Pixabay .
Separating AI Hype from Clinical Reality with Dr. Roxana Daneshjou
Jul 27, 202642 min
Jesse chats with Dr. Roxana Daneshjou, Assistant Professor of Biomedical Data Science and Dermatology at Stanford School of Medicine . Together, they discuss Roxana's journey into the healthcare AI world; recent research on AI performance in healthcare tasks and claims of superhuman AI performance presented as clinical vignettes ; takeaways from Health AI Week at Stanford; AI challenges facing medical professionals and patients; using data analysis to guide healthcare AI forward; fears and hopes for healthcare AI in the future; and much more. Learn more about Roxana's work at www.DaneshjouLab.com . Jesse also reflects on this key headline: OpenAI moves toward making healthcare a central pillar of its business. In our Resource Link segment, we list one valuable resource you might want to check out . To view this link , subscribe , or find out more info rmation about our podcast, visit www.HealthcareAIPioneers.com . Want to be a spon sor, marketing p artner, or guest, or provide feedback on the podcast ? E mail us a t Info@HealthcareAIPioneers.com . Music by Turning Pages from Pixabay .
The Next Generation of Evidence-Based Clinical AI with Dr. Travis Zack
Jul 6, 202644 min
Jesse chats with Dr. Travis Zack, Chief Medical Officer at OpenEvidence and Assistant Adjunct Professor and AI Researcher at the University of California, San Francisco . Together, they discuss OpenEvidence's mission and its rapid adoption among physicians; how OpenEvidence differs from general-purpose AI platforms; Travis' background and role at OpenEvidence ; the rationale behind the organization's free access model and its long-term vision; partnerships between OpenEvidence and health systems; the organization's impact on clinical decision-making , physician practice , and medical education ; the future of OpenEvidence and clinical AI ; and much more. Jesse also reflects on this key headline: Rhode Island passes AI scribe opt -out law. In our Resource Link segment, we list one valuable resource you might want to check out . To view this link , subscribe , or find out more info rmation about our podcast, visit www.HealthcareAIPioneers.com . Want to be a spon sor, marketing p artner, or guest, or provide feedback on the podcast ? E mail us a t Info@HealthcareAIPioneers.com . Music by Turning Pages from Pixabay .
Implementing AI in Radiology and Clinical Decision-Making with MedStar Health
Jun 29, 202645 min
Jesse chats with Dr. Raj Ratwani, Vice President of Scientific Affairs at the MedStar Health Research Institute, Director of the MedStar Health National Center for Human Factors in Healthcare, and a Professor of Emergency Medicine at Georgetown University School of Medicine; and Dr. Ross Filice, Chief of Imaging Informatics, Director of Research in the Department of Radiology, and Professor at MedStar Georgetown University Hospital . Together, they discuss MedStar Health's integration of an AI clinical decision support tool, "AI Doc," into radiology care; human factors and conditions under which clinical AI tool s are likely to work; how radiology residents at Georgetown are allowed to use AI Doc; concerns surrounding deskilling in AI-assisted clinical environments; post-deployment surveillance and monitoring of AI Doc; how to build AI governance structures in healthcare settings; whether AI could eventually replace radiologists; and much more. Jesse also reflects on this key headline: AMA Adopts Policy Pushing Back on AI Creep in Medicine. In our Resource Link segment, we list one valuable resource you might want to check out . To view this link , subscribe , or find out more info rmation about our podcast, visit www.HealthcareAIPioneers.com . Want to be a spon sor, marketing p artner, or guest, or provide feedback on the podcast ? E mail us a t Info@HealthcareAIPioneers.com . Music by Turning Pages from Pixabay .
Reimagining OSCE Grading and Medical Education at UT Southwestern
Jun 8, 202640 minS0
<p >Jesse chats with Dr. Thomas Dalton, Associate Professor of Internal Medicine and Geriatrics at UT Southwestern Medical Center, and Dr. Andrew Jamieson Assistant Professor in the Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center and Principal Investigator of Jamieson Lab. Together, they discuss objective structured clinical examinations, how UT Southwestern created a model to help solve problems with OSCEs, inter-rater reliability in the human baseline in their research data compared with benchmarks, how the resulting system was operationally deployed for real students being graded on real exams, what happens to human graders who are no longer needed for OSCE scoring, ap...
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