clinical AI

CIO Craig Kwiatkowski offers a look at the AI tools deployed at the famous health system and discusses the measure of success of AI initiatives, as well as how the technology can help identify disparities in care access and outcomes.  

Cedars-Sinai CIO Craig Kwiatkowski discusses using the FAVES approach (fair, appropriate, valid, effective and safe) in genAI adoption, as well as the "build vs buy" question, and challenges with integrating AI technologies into existing systems.   

According to Dr. Reza Ryan Sadeghian, principal health IT strategist at MITConn Consulting, clinicians must be included in the process of creating new AI tools and in deciding how to deploy them safely and ethically.  

Microsoft's chief nursing information officer, Kathleen McGrow, discusses the link between clinical workflow and information technology and how the HIMSS innovation nursing advisory group educates nurses to improve AI literacy and utilization.

Dr. Jonah Feldman, medical director, clinical transformation and informatics at NYU Langone Health System, discusses an upcoming pilot study using AI to generate after-visit notes that are easier for patients to read and understand.  

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.  

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.  

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.  

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.