clinical AI
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Punit Soni, Suki AI CEO and founder, discusses how his company's integration of its AI assistant with Amwell's Converge telehealth platform to generate clinical notes and coding has reduced doctors' workload by up to 75% and boosted job satisfaction.
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Dr. Brian Anderson, CEO, Coalition of Health AI (CHAI), shares the challenges of developing specifications and ethical standards for still-evolving AI technology, as well as how members ensure patient safety remains at the center of discussions.
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Don Thompson, head of marketing at TeleVox, discusses how AI powers TeleVox products, including Iris, a virtual assistant that helps healthcare staff save time on the phone by answering patients' questions via their preferred communication platform.
Prior to ChatGPT, modern medicine was slow to implement AI technologies, says Dr. Tim O'Connell, founder and CEO of medical natural language processing company emtelligent. Now, advances in accuracy are bringing the tech to the forefront.
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Matthew Ko, cofounder, president and COO of DeepScribe, describes how the company addressed clinicians' concerns by building a "customization studio" that allows editing of AI-generated visit notes to reflect clinicians' natural writing style.
Dr. Brian Hasselfeld, senior medical director of digital health and innovation at Johns Hopkins Medicine, talks about using AI-powered ambient scribe technology to address physicians' documentation burden from the explosion of EMR content.
Senior medical director of digital health and innovation at Johns Hopkins Medicine Dr. Brian Hasselfeld discusses addressing resource issues in healthcare with the help of artificial intelligence.
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Nicole Rogas, president of symplr, discusses her company's "connected enterprise" strategy that helps consolidate multiple software systems into a single platform with one logon and automated workflows to reduce clinicians' time spent on technology.
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Tony DiGiorgio, chief architect at symplr, discusses how the company's AI-driven tools help healthcare organizations automate workflows, realize efficiencies and build a "connected enterprise" to share data among multiple systems.
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Medicomp CMO Dr. Jay Anders discusses his company's early adoption of AI to organize clinical data and its more recent tool that can teach large language models (LLMs) to create more accurate documentation.