Wolters Kluwer Health announces its Health Language Platform, a FHIR Terminology Server that will work with Microsoft Azure Health Data Services FHIR service to help customers enrich and standardize their healthcare data with medical ontologies on Microsoft Azure. Wolters Kluwer Health Language Platform enables customers to leverage its foundational expertise and sophisticated, proven abilities to transform disparate, messy healthcare data into clean, standardized, and interoperable data and insights.
The Health Language platform enables Microsoft customers such as health insurers, healthcare providers, and health IT vendors to leverage a single source for the management, maintenance, and mapping of their healthcare vocabularies to ensure accuracy, reliability, and optimized performance on the cloud. Health Language achieves this by providing a FHIR terminology server that adheres to the FHIR specs (4.0.1) outlined in the National Coordinator for Health Information Technology (ONC) Cures Act.
As stakeholders in the healthcare ecosystems work to build out population health analytics and trusted AI models, a well-architected terminology server is essential. Semantic interoperability, a foundational element of the Health Language platform, creates a common vocabulary that paves the way for accurate and reliable communication across IT applications and is a central component of a healthcare big data ecosystem.
Organizations onboarding to Azure can leverage the AI-enabled FHIR terminology server with Azure Health Data Services to validate and translate their FHIR data so that it is ready for future analysis. Using the Health Language Platform, organizations can achieve semantic interoperability across multi-modal data sources to propel a range of use cases across healthcare: Simplified clinical terminology management of 650+ annual healthcare content updates to support wide-scale provider, payer, or HIT vendor data collection and maintenance across multiple data formats and systems; Operating from a single source of truth to keep data aligned to industry standards allows customers to realize up to 75% improvement in efficiency in the process to update terminologies, with up to 90% reduction in time spent processing and publishing the updates across their organizations; Applying AI to harvest insights from health data and train future AI models.
Accelerated standardization of data across multiple health systems, particularly in today’s heightened healthcare M&A environment; and Supported research, querying and reporting, and analytics through common frameworks for the validation and translation of health data to regulatory standards.
The Wolters Kluwer Health Language Platform is available now in the Microsoft Commercial Marketplace to help organizations speed their migration to Azure.
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