Data Normalization for Enhanced Analytics
HealthNovember 01, 2021

Ninja terminology tactics to maximize the value of clinical data across evolving ecosystems

Clinical data can take many forms, but it's still often unstructured, semi-structured, or messy. 
At the recent AMIA 2021 Conference, our panel of industry experts discussed how far the healthcare industry has come with regards to interoperability, and what opportunities and challenges still lie ahead for payers, providers, and health IT vendors in leveraging clinical data to improve patient care and reduce healthcare costs.

Watch the on-demand presentation to learn: 

  • How terminologies and a terminology strategy can improve the quality and depth of clinical data for interoperability, analytics, data science, or clinical decision support.
  • Ninja tactics for enabling natural language processing (NLP) with specialized terminologies, high-volume semantic mapping for non-standardized source terms, and authoring and maintaining proprietary terminologies or ontologies.
  • How advanced terminology services enable data quality in the context of:
    • Specialized oncology terms in the EHR for MD Anderson Cancer Center
    • Harmonizing data from multiple disparate sources to provide a single view
    • Accelerated value set authoring and maintenance for accurate clinical decision support


Sarah Bryan, MS
Director of Product Management
Wolters Kluwer, Health Language

Cheryl Mason, MSHI
Director, Terminology Management and Informatics
Wolters Kluwer, Health Language

Howard R. Strasberg, MD, MS, FACMI, FAMIA
VP, Medical Informatics
Wolters Kluwer, Clinical Effectiveness

Bo Dagnall, MA
CTO, Healthcare Provider Sector

Mark Wozny, PhD
Manager, Data Governance, Enterprise Data Engineering & Analytics
MD Anderson Cancer Center

Please fill out the form below to view the on-demand presentation. 

Health Language Data Interoperability
Manage and maintain your enterprise healthcare data in a single platform for authoring, modeling, and mapping to industry standards to enable semantic interoperability.
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