Join us at the Main Stage, where Chris Mansi, MD, MBA, Co-founder and CEO of Viz.ai, and Suneet Mittal, MD, FHRS, will discuss how AI is transforming the delivery of care to improve patient outcomes and explore its broader potential in cardiology.
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There has been a rapid increase in technological advancements in the healthcare industry—such as telehealth, biometric monitoring technologies (BioMeTs) which includes wearables, and artificial intelligence (AI)/ Machine learning (ML). These technologies have already begun to transform biomedical research, with an increasing body of scientific evidence it will very likely transform how we provide healthcare, more specifically – cardiovascular care soon. However, there is growing concern that these technologies may inadvertently worsen existing health disparities by propagating biases inherent in existing data and clinical care processes.

In this session, we will explore the impacts of Digital Health and AI on pediatric and adult CHD patients. In addition to discussing the current state of these technologies impacting this vulnerable patient population (including what is working well and what could be improved), we will explore unmet needs for these patients and how to work with industry to potentially bring innovations forward for these patients.

While AI has become an integral part of healthcare operations, a synergy between its utilization and human oversight is critical. This session will investigate the AI and human intelligence dynamic in different healthcare settings, uncovering what works, and what unforeseen pitfalls they have to address. The panel will discuss some of the AI strategies they use to improve healthcare, clinical, and economic outcomes. 

Over the last several years, the practice of cardiovascular care has evolved dramatically, with the development and adoption of digital care. The development and integration of artificial intelligence has revolutionized the field of electrophysiology. The Heart Rhythm Society (HRS) will release a series of perspective articles in conjunction with HRX2024. In this session, panelists will discuss the current state of the art in AI as well as share insights on how best to implement AI to ensure smooth integration into cardiac arrhythmia workflows. 

10+ years of “point solution” pilots, and over $100B venture capital later, the digital health implementation “playbook” is being rewritten. The acceleration of generative AI in a capital-constrained environment, alongside demands for value-based care models, are changing the way we design clinical workflows, train staff, onboard patients, launch programs, and measure success. In this panel we will explore how technical advances and economic pressures are shaping the way that companies and health systems design, launch, and scale digital health solutions.

Explore perspectives from experts bringing innovation to the global arena, from the perspectives of clinicians, industry and finance. Discuss how health care systems, governmental agencies (including regulatory) and financing impact the distribution on innovations on a global scale.

There has been a significant increase in the volume of data produced by patients with the litany of wearables on the market. The ability to share data between patients and providers has become easier with the advent of patient portals associated with electronic medical records. But the core question of data ownership remains—who owns these data? Data ownership is complex and important for patient empowerment. But what does the law say? Can data be co-owned by the appropriate entities involved in a patient’s care? What are the legal nuances of data ownership? And are the cybersecurity measures in place sufficient in the current state? In this session, we will start to address some of these concepts.

Data overload is a major hurdle in cardiac care, but Piedmont Healthcare found a way to cut through the noise and save more than 2,100 hours of work annually. Join PaceMate® and HRX 2024 for an exclusive live production of a session. This unique event will showcase how innovative tech solutions can tackle data overload head-on. Gain insights into how the shift from outdated, cumbersome methods to a streamlined, data-driven strategy improved efficiency, patient outcomes, and staff satisfaction.

This session is dedicated to FDA regulation of digital health products, from traditional software-based medical devices to novel medical device software functions deployed on consumer products or wearables. Participants will join FDA leaders in a discussion about expectations for implementing artificial intelligence/machine learning, Predetermined Change Control Plans (PCCPs), and other digital health guidance or policy updates