Healthcare Data Matters Podcast

Dr. Parag Jain, Baylor College of Medicine


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Up to 48% of post-op pediatric cardiac patients with congenital heart defects develop post-operative arrhythmias. Junctional ectopic tachycardia (JET) is considered the most common type of tachycardia seen during early post-operative care, but there are currently no automated detection algorithms for JET.

Dr. Jain  discusses how he leveraged both data and expertise across academic and industry partners to create algorithms to detect JET. Hear how this approach can accelerate clinically impactful research.

For a full replay of the webinar with accompanying slides please visit: www.healthcaredatamatters.com

Information: Season 1, Episode 3 Aired live on November 10, 2020 at 12:30 CT Audio: 8:05

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Healthcare Data Matters PodcastBy Healthcare Data Matters

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