Enabling Advanced EHR Analytics with Clinical Terminology
February 23, 2017 — 12:00PM EST - 01:00PM EST
Orange County Convention Center
A logically designed clinical terminology enables enhanced EHR analytics to deliver timely and accurate clinical and business intelligence and improve the quality and cost-effectiveness of healthcare delivery.
SNOMED CT is a globally-used clinical terminology that is freely available to US users through NLM and is designated for problem representation by the 2014 EHR certification criteria. This session will focus on a variety of approaches using SNOMED CT to address different clinical analytics use cases, such as historical summaries, clinical decision support, population health and clinical research, along with an overview of guidance developed during a study of analytics deployments.
The session will also cover practical experience from EHR vendors, healthcare provider organizations and other stakeholders, including benefits realization and challenges.
Recognize the potential value of using a logically defined clinical terminology to support effective clinical analytics
Compare alternative approaches to enhancing clinical and business intelligence using a formally defined clinical terminology
Describe ways in which the features of SNOMED CT have been applied to analytics by vendors and healthcare providers
Debate the strengths and weaknesses of SNOMED CT as part of a clinical analytics solution