The 2016 Big Data & Healthcare Analytics Forum presented by HIMSS takes place June 14th & 15th in San Francisco, California, with expected attendance from a full-spectrum of senior healthcare leaders. During this forum attendees aim to serve one objective: continue to drive the powerful insight and interactive learning needed to transform the current healthcare agenda into the more intuitive trending practice of precision medicine.
With so many analytics tools and models, how do you cultivate a winning strategy – one that maximizes your data’s value and makes a real impact on healthcare and costs?
Compelling keynote speakers will cover a wide range of data-driven healthcare pain points such as Predicting and Preventing Avoidable Readmissions, Integrating Data Science to Drive Clinical and Operational Impact, and Managing Population Health, among others. Newly promoted Executive Vice President of HIMSS Analytics, Blain Newton had this to say about the organization’s drive to better healthcare,
"HIMSS Analytics has established itself as the leading global advisor in healthcare IT. The Analytics team has achieved a great deal in recent years with Electronic Medical Record Adoption Model (EMRAMSM), and HIMSS Analytics LOGIC and is poised to continue innovating to enable our client's success in the rapidly evolving global market," said Newton.
Guests will learn what is working and what is not, interact and problem solve in structured breakout sessions that are 100% focused on healthcare’s unique analytics challenges, and network with peers, thought leaders and research technologists. The Big Data Healthcare Analytics Forum maintains strict guidelines ensuring the best data-centric content is delivered, as seen in this speaker proposal:
"Specifically, we want presentations that clearly demonstrate how healthcare payers and providers are using data and analytics to improve and standardize clinical care, reduce costs, achieve population health, and make better strategic decisions for their organizations."
Inarguably the future of data-driven healthcare is here, and this open-source approach to sharing informatics, analytics and insights will undoubtedly draw us closer to precision medicine.
