AI-Enabled Clinician

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes. In this episode, Dr. Ami Bhatt and Dr. Rashmee Shah delve into how artificial intelligence is transforming the clinical research lifecycle. They explore the growing role of patient-owned data and the balance between leveraging AI-driven efficiency and preserving human cognition. They also highlight the essential skills and mindset future clinical researchers need to cultivate.

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes.     In this episode, Dr. Laxmi Mehta joins Dr. Ami Bhatt to address persistent gaps in women's cardiovascular care, from underrecognized risk factors to barriers in post-event follow-up. They explore how digital health solutions like telehealth, virtual cardiac rehab, and wearables can help close those gaps and expand access. They also share how clinicians can embrace tools like ambient AI to keep prevention a focus.

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes.     In this episode, Dr. Ami Bhatt speaks with Dr. Sneha Jain about evaluating and monitoring artificial intelligence tools for clinical practice. They discuss moving beyond exam benchmarks to real-world workflow testing and tracking system integrity, performance, and impact over time. Dr. Jain also emphasizes establishing accountability for tool retirement and scaling AI tools to community hospitals.    

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes.     In this episode, Dr. Ami Bhatt speaks with Dr. Leslie Davis about how digital health tools are empowering patients to get ahead of symptom progression and helping underserved communities adopt at-home care. They discuss how new technologies are improving healthcare utilization by preventing unplanned visits. The conversation also addresses the need for clinician and patient adoption, the impact of digital determinants of health, and more.   This podcast is supported by Hello Heart.

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes.    In this episode, Drs. Ami Bhatt, Rupal O'Quinn and Leon Ptaszek delve into the role of consumer wearables in cardiovascular care. They explore scenarios where consumer wearables can provide meaningful value and offer practical tips to help patients effectively share and use their wearable data to manage their health. They also highlight ways clinicians can integrate this information into care conversations to support better outcomes.  https://www.acc.org/Latest-in-Cardiology/Features/podcasts 

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes.    In this episode, Drs. Ami Bhatt and Sanket Dhruva explore how wearables are shaping the future of personalized care. They discuss how wearables impact clinical workflows and clinician-patient relationships and highlight key considerations for clinicians when supporting patients.

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes.     In this episode, ACC Chief Innovation Officer Dr. Ami Bhatt speaks with Dr. Krishna Pundi about how digital health tools and wearable technologies are helping to manage cardiovascular risk and chronic arrhythmias in patients. They discuss how remote monitoring and AI tools can streamline clinical workflows and support shared decision-making. Drs. Bhatt and Pundi also highlight opportunities to close care delivery gaps, advance value-based care, and build patient-centered heart rhythm programs.    This episode is supported by Hello Heart. 

and research are redefining cardiovascular care delivery and patient outcomes.     In this episode, Chief Innovation Officer Dr. Ami Bhatt is joined by Dr. Sri Adusumalli to discuss the integration of large language models in health systems. Dr. Adusumalli shares his first-hand experience from Penn Medicine, highlighting Penn Medicine's transition from predictive AI to generative AI by leveraging a clinical team-led approach. They also explore the shifting dynamics of prompt engineering and the importance of multi-phase monitoring to ensure AI safety guardrails.  This episode is supported by OpenEvidence.  

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes.     In this episode, Chief Innovation Officer Dr. Ami Bhatt and Dr. Katie Berlacher discuss how large language models (LLMs) can be integrated into clinical workflows and medical education while preserving clinical autonomy. They address the importance of studying human-AI interaction to establish safe guardrails and emphasize the necessity of formal training and continuous dialogue to prevent an over-reliance on these tools.   This episode is supported by OpenEvidence.  

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes.  In this episode, Chief Innovation Officer Dr. Ami Bhatt and Dr. Ankeet Bhatt explore the impact of large language models (LLM) on cardiovascular care today. They provide a practical framework for navigating LLMs at the point of care and highlight important components to engineer an effective clinical prompt. They also dive into how to identify and address biases when using LLMs in clinical workflow.       This episode is supported by OpenEvidence.