HIMSS will host the Machine Learning & AI for Healthcare Digital Summit from Dec. 1-2, showcasing an interactive, digital event experience to build collaborative networking opportunities, insights for clinical and non-clinical staff and up-to-the-minute information from health tech experts.
With COVID-19 throwing the world into crisis, the use of AI in healthcare has been forced into the workflows of healthcare institutions. With successful implementation and accelerated adoption, the optimization of these tools is showing how important these technologies can be, as innovation has been forced by necessity.
Keynote speakers include John Brownstein, Chief Innovation Officer, Boston Children's Hospital and Eric Perakslis, Rubenstein Fellow, Duke University.
Audiences will learn how to maximize the impact of machine learning and AI, they will hear case studies on using machine learning and AI to detect social determinants of health, and they will see how to integrate machine learning and AI into clinical workflows. Other key takeaways include understanding the common misconceptions of the tools and discovering how to scale analytics into clinical operation.
Registration includes access to the two-day digital experience Dec. 1-2, 2020, plus three months access to all of the recorded content on demand.. To apply for press credentials, submit request to email@example.com.
Dec. 1–2, 2020 | Digital Summit
While healthcare is beyond the hype and already seeing the influence of machine learning and AI technologies within their workflows, the successful implementation that drives results depends on achieving analytics maturity and ensuring data quality and governance. Join HIMSS and take a holistic, workshop approach with a focus on implementation.