Senior Fellow Dr. Jim Rice moderates Panel in HIMSS 2018

Senior Fellow Dr. Jim Rice moderates Panel in HIMSS 2018

Dr. Jim Rice (SAS DMIST, Senior Fellow CGBITR) serves as moderators for three 60-minute sessions in Healthcare Information and Management Systems Society (HIMSS) 2018. These three sessions address important topics: 
 
Consumer and Patient Engagement: How to Create a World-Class Financial Service Center  
Summary: The shift to consumerism has caused patients to become more engaged in their own care, and because they are now also purchasers, they view the financial interaction as a critical element of their experience. One negative financial encounter could overshadow an otherwise positive patient experience and adversely affect the perceived value.  Learn how Yale New Haven Health (YNHH) implemented a patient engagement strategy that went beyond patient self-service tools and focused on empowering staff to be efficient and consistent in their interactions with patients. 
 
Data Analytics/ Clinical and Business Intelligence Using Market Data to Move the Needle on Performance
Summary: Healthcare organizations need a new approach to continue to flourish. Across the country, healthcare organizations are contending with the challenges associated with continued and growing market and regulatory-driven change, and the on-going evolution towards an increasing quality-minded and consumer-centric market. At the same time, reimbursement and payment models are continuing their evolution which, in turn, is putting pressure on healthcare organizations to transform their business operations with a focus on evaluating alternative revenue and growth sources, aligning their cost structure, and considering alliances with new and different partners.
 
Data Analytics/ Clinical and Business Intelligence AI-Powered Early Warning System to Improve Patient Safety
Summary: Early detection of physiologic deterioration in order to reduce in-hospital mortality and prevent unplanned transfers to the intensive care unit (ICU) is a National Patient Safety Goal. Utility of non-automated early warnings system (MEWS) and Rapid Response Teams (RRT) to reduce in-hospital mortality are often limited due to inadequate and inconsistent alerting mechanisms. We describe the development, validation, and implementation of an automated, real-time AI-Powered Early Warning System (EWS) model for predicting risk of unplanned ICU transfers or cardiopulmonary arrests outside the ICU.
 
 
More about this conference can be found here
 
More about Dr. Jim Rice can be found here.
 
 

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