BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT
BOSTON, Oct. 22-23, 2018
Mike Miliard is editor of Healthcare IT News. He covers topics such as health information exchange, analytics, clinical decision support, privacy and security and more.
Welcome to the Think Tank!
This interactive session leverages the audiences’ collective experience to drive greater value and takeaways. It works like this: For the first 10 minutes, each table discusses individual roadblocks and challenges with data governance. Then a designated attendee from each table takes the floor microphone and asks our panel of experts a key question from the table discussion. The goal here is to cater to specific interests of attendees to provide the most pertinent and valuable information possible.
Someone once likened executing an analytics strategy without good data governance to driving a car with little or no gas. In either case, you’re not going far. Data governance may not have the pizzazz of predictive analytics, but few topics are more important.
In addition to audience questions, our experts will:
At all HIMSS events, we strive to secure the best speakers and deliver the most valuable information possible, but in this short session at the start of the forum, we want to hear from you.
Take a few minutes and introduce yourself to fellow attendees at your table, and share why you are attending the forum. This will help facilitate networking and, we hope, create a sense of community and collaboration that will continue throughout the forum. We’ll also then hear from some attendees and speakers and learn what they want to takeaway from the forum.
There’s a ton of buzz around machine learning and artificial intelligence and the role they’ll play in revolutionizing and improving healthcare, but what are these evolving technologies, how are they different, and what are the multiple layers of use?
No complex health IT ever created has been plug-and-play. The same goes for ML and AI. To take full advantage of its potential, will require a lot of work.
In this morning leadership panel, our speakers look at the current state of machine learning and AI in healthcare and address where we are, where we are going, and what we need to do to get their faster.
What education do stakeholders need? What new vocabulary is required? How do you integrate ML and AI into operational and clinical processes? How do you show ROI?
Our speakers will address these questions and others head-on in a fascinating and insightful discussion that sets the stage for the speakers to follow.
This interview with Nadia Haque, director of the precision medicine program at Henry Ford Health System, and Bat-Ami Katzman Gordon, director for precision medicine at the University of Miami Miller School of Medicine, will look at how analytics play a key role scaling a precision medicine program throughout a healthcare organization. What's more, Nadia and Bat-Ami will explain how data integrity and interoperability are key to extending precision medicine into the community to address disparities in care.
UNC Health Care & School of Medicine is one of only two healthcare organizations to achieve the highest level of the HIMSS Analytics International Adoption Model for Analytics Maturity (AMAM), Stage 7. The model measures and advances a healthcare organization’s analytics capabilities, moving an org from foundational knowledge (data aggregation and governance) to personalized medicine and prescriptive analytics.
In this session, Jason Burke, UNC’s system vice president and analytics officer, discusses his organization’s journey to analytics maturity, what worked well and what didn’t. He’ll address key milestones along the journey to becoming a data-driven organization:
Along with Jason, Philip Bradley, regional director, North America for HIMSS Analytics, will address key stumbling blocks along the road to analytics maturity and how to stay on your path to improving healthcare.