The Health division of Wolters Kluwer has announced that Health Language experts will lead a breakout session titled 'A Strategic Approach to Terminology Management Challenges in Population Health and Analytics' at the 87th Annual AHIMA Convention and Exhibit. Dr. Stephen Ross, Medical Informatics Specialist, and Brian Laberge, Director of Client Services Strategy, will discuss the critical role terminology management strategies play in achieving success with population health management (PHM) and data analytics.
Scheduled for September 30 at 11:15 a.m. in Rooms 271-273 of the New Orleans Convention Center, the presentation will highlight the challenges healthcare organisations currently face when laying a foundation for semantic interoperability. Presenters will discuss the need for efficient strategies to address data normalisation of clinical terminologies coming from inbound and outbound sources, and attendees will learn the value of enterprise code group management and how to align a broader enterprise terminology management strategy with data analytics and PHM efforts.
Identified as important strategies for healthcare organisations operating within risk-bearing reimbursement arrangements, PHM and data analytics require high-level information sharing capabilities. Because the industry lacks a universal terminology standard, data must be normalised upon intake to support semantic interoperability; otherwise there are inevitable conflicts with management and distribution when clinical information is shared between organisations.
Designed to enable effective clinical information exchange, the Health Language family of products including LEAP Code Group Manager will be featured at AHIMA (Booth #812). Wolters Kluwer's enterprise terminology management platform provides the software, content, and consulting solutions needed to map, translate, update, and manage standard and enhanced clinical terminologies on an enterprise scale, enabling the information liquidity required to support such healthcare challenges as Meaningful Use compliance, ICD-10 conversion, population health management, and analytics.
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