Healthcare organizations can’t succeed at machine learning without a solid foundation of analytics and data.
That reality is the starting point for our HIMSS Machine Learning and AI for Healthcare event, scheduled for June 13-14, 2019, in Boston. The conference will focus on building analytics maturity and, beyond that, the requisite skills for moving into the age of artificial intelligence.
Providence St. Joseph Chief Clinical Officer Dr. Amy Compton-Phillips will kick things off with an opening keynote titled, “No Data Without Stories, No Stories Without Data,” where she’ll discuss the drive to convert mountains of data into information, then use AI and ML to simplify it so physicians can put that data to work.
HIMSS Machine Learning and AI for Healthcare takes place June 13-14, 2019 in Boston. Register here.
Next up, Steven Horng and Michael Schwarz will chart a roadmap from analytics to algorithms; Horng is associate director in the Emergency Medicine Informatics division at Beth Israel Deaconess Medical Center and Schwarz is the executive director of IS at Indiana University Health.
The morning sessions will also feature a deep dive into HIMSS Adoption Model for Analytics Maturity with Duke University Health System Chief Analytics Officer Stephen Blackwelder – Duke is the first hospital to achieve Stage 7 of AMAM – and James Gaston, senior director at HIMSS Analytics.
Other sessions will include a look at mission-critical data quality and governance from Tina Esposito, chief health information officer at Advocate Aurora, insights about developing an analytics team from Northshore University HealthSystem Assistant Vice President of Clinical Analytics Chad Konchak and Rush University Medical Center Chief Analytics Officer Bala Hota will share expertise about maximizing AI’s impact.
That’s just the morning. Afternoon sessions will feature UPMC CIO Srinivasan Suresh on scaling analytics in clinical operations and UNC Academy of Population Health Director Dr. Michael Dulin discussing ways to avoid bias in analytics, AI and population health work.
Day Two opens with Children’s Hospital of Orange County Medical Director Dr. Anthony Chang’s morning keynote. During “Common misconceptions of AI in healthcare,” Chang will deliver a reality check on the chatter about AI replacing physicians. He’ll also explore deep learning for decision support, AI’s promise to return the joy to medicine and future challenges.
Following Chang, a panel discussion will look at strategies for incorporating AI into clinical practice, and then Harvard Medical School Assistant Professor Len D’Avolio will share tactics for analyzing, optimizing and ultimately customizing AI and ML deployments.
Vikas Chowdry, chief analytics and information officer at Parkland Center for Clinical Innovation, will demonstrate the value of making ML actionable, while other morning speakers will discuss ways to overcome challenges and use ML to reduce risk.
In the final morning session, a few speakers will come back to the stage to outline a Success Checklist for artificial intelligence and machine learning.
The afternoon sessions will dive into more tech topics, including blockchain and natural language processing. Mount Sinai Health System’s Director of Data Engineering Varun Gupta, in fact, will relate the system’s experience using AI and NPL to uncover social determinants of health in unstructured EHR data.
And in the final session of the event, William Paiva, executive director of the Center for Health Systems Innovation at Oklahoma State University, will discuss using machine learning to address rural healthcare challenges, such as improving Native American health with innovative care delivery and technology models.
The HIMSS Machine Learning and AI for Healthcare event takes place June 13-14, 2019, at the Westin Copley Place in Boston.
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