Data Driven Management of Heart Failure - AI Driven Innovations-Data Driven Management of Heart Failure

Video Transcription

Video Summary

Dr. Rohan Khera, a cardiologist and data scientist at Yale School of Medicine, moderated a discussion on data-driven management of heart failure and the role of AI-driven innovations. Panelists included notable cardiologists and researchers from various institutions, such as Dr. Jay Edelberg, Dr. Murad Farim, Dr. Adrian Hernandez, and Alex Hajduk. They addressed AI's potential in diagnosing heart failure, managing therapies, and optimizing patient care both inpatient and outpatient.<br /><br />Key points discussed included the heterogeneity of heart failure and the necessity of tailored interventions similar to oncology's approach. The conversation highlighted the importance of integrating AI tools into clinical practice efficiently, emphasizing the need for systems that can clean and filter data to make it actionable. They also touched on the regulatory pathways and the interplay between how diagnosis and therapy innovations are brought to market.<br /><br />Further debate arose around the need for more streamlined digital health implementations across institutions, suggesting the potential for entities like Epic to facilitate better integration. The panel urged for more pragmatic, scalable trials leveraging real-world data to ensure immediate applicability of findings into healthcare systems. Closing remarks stressed the need for increasing the workforce specializing in heart failure care to manage the growing patient and data influx effectively.<br /><br />The panel concluded by envisioning a future where AI tools level the playing field for diagnoses, particularly in less resource-dense settings, aiding in the widespread detection of complex conditions like amyloid cardiomyopathy.

Keywords

heart failure

AI-driven innovations

data-driven management

clinical practice

digital health

tailored interventions

real-world data

cardiomyopathy