HIMSS17 TOOK PLACE IN ORLANDO, FL
February 19-23, 2017
Healthcare is undergoing a massive transformation. Today’s reality is changes in reimbursements, providers taking on more risk, and patients leading their care advocacy. So, what does that mean for analytics and how important is analytics in transforming healthcare?
Join us at HIMSS17 to see how others are transforming data into digestible and actionable information leading to smarter decisions both for the business side of healthcare and for clinical decisions.
We will hear from those on the front lines who are translating data into organizational acceptance, delivering proven methodologies, and how physicians, nurses and other providers are able to grab data, analyze critical solution points, and increase transparency.
A sample follows of sessions addressing how analytics is transforming healthcare delivery.
Escaping the IS Project Black Hole
Douglas Gentile, MD, MBA
CMIO, University of Vermont Medical Center
Session Take-Away: For most healthcare IS shops today, demand significantly exceeds capacity. In that environment, it is essential to have a prioritization process that all leaders not only accept but adhere to. Process transparency is also critical to organizational acceptance. The Stage-Gate process we describe in our presentation is a proven methodology for aligning projects with organizational goals and priorities and for increasing project transparency.
Enabling Advanced EHR Analytics with Clinical Terminology
Dr. David Markwell,
Session Take-Away: A clinical terminology that represents clinical meaning in a processable form can contribute to improvements in patient outcomes and reduction of adverse events. It can do this by enabling more meaningful analysis of an individual patient record leading to more effective presentation of key facts. Analysis of an individual record can also facilitate links to appropriate clinical guidelines and decision support. Use of a meaning focused clinical terminology, to enable the analysis of the records of large populations of patients can also contribute to the evidence required to underpin clinical guidelines and decision support.
Predictive Analytics: A Foundation for Care Management
Amber Sloat, RN
Care Transition Nurse
Jessica Taylor, RN
Director, Care Management
St. Joseph Healthcare
Session Take-Away: Analytics are dynamic. It is not effective in solely one venue, but rather, it has many functionalities. Predictive analytics can be leveraged to: identify at risk populations such as those at high cost, high risk for emergency room visits; identify patients at risk for specific disease; manage provider panels by risk score to level load provider work; improve readiness for value-based payment programs; encourage collaboration across the continuum; and support operational decision-making.
Have you registered for HIMSS17?