Health Care Technology
Company Overview of Health Language, Inc.
Health Language, Inc. provides healthcare terminology management solutions and professional services that normalize data within the healthcare organizations. It offers health management software, content, and consulting solutions that map, translate, update, and manage clinical terminologies on an enterprise scale. The company provides healthcare IT solutions in the areas of content standardization, data normalization, ICD-10 remediation, and workflow-enhancing search. It serves payers, providers, and vendors. The company was founded in 2000 and is based in Denver, Colorado. As of January 4, 2013, Health Language, Inc. operates as a subsidiary of Wolters Kluwer Health, Inc.
4600 South Syracuse Street
Denver, CO 80237
Founded in 2000
Key Executives for Health Language, Inc.
Co-Founder and Vice President of Global Business Development
Chief Technology Officer and Vice President
Chief Medical Officer and Senior Vice President
Director of Medical Informatics
Compensation as of Fiscal Year 2014.
Health Language, Inc. Key Developments
Global Technology Resources, Inc. and United States Department of Defense Selects Health Language, Inc. to Enhance Documentation and Workflow Within the Armed Forces Clinical Database
Mar 1 13
Wolters Kluwer Health announced that Global Technology Resources, Inc. (GTRI) and the United States Department of Defense (DoD) have selected Health Language(R) to enhance documentation and workflow within the Armed Forces Clinical Database. Health Language medical terminology management software and services will enable the DoD to leverage greater granularity and trending for more robust population analytics and business intelligence reporting. Health Language will support GTRI on its US Navy Communications and Network contract, providing data standardization tools for the DoD's existing data warehousing projects. Its Language Engine will normalize disparate data across the Armed Forces Clinical Database by automatically mapping it to standard terminologies, such as SNOMED CT(R) and ICD-10. Additionally, the Health Language Provider Friendly Terminology (PFT) allows clinicians in the Armed Forces to use everyday terms, abbreviations and nomenclatures to input and search patient information, limiting burden on providers.
Health Language, Inc. Expands Language Engine to Provide Support for Stage 2 Meaningful Use through SNOMED CT Conversion
Nov 28 12
Health Language, Inc. announced the release of a new terminology mapping designed to support providers and electronic health record (EHR) vendors in meeting the Stage 2 Meaningful Use requirements for SNOMED-encoded problem lists. Under Meaningful Use Stage 1, hospitals, eligible providers and EHR vendors could record problems in ICD-9-CM or SNOMED CT. Stage 2 now calls for all problem lists to be reported in SNOMED CT. To support this requirement, HLI developed an updated mapping between ICD-9-CM and SNOMED CT. This new content set, combined with HLI's Language Engine software: enables one-to-one matches of ICD-9-CM diagnoses to SNOMED CT problems; decreases clinician time spent converting codes while enhancing use of SNOMED CT-encoded problems; and allows physicians to make a gradual transition to SNOMED CT, as they can continue using ICD-9-CM as synonyms in the short term while they become familiar with SNOMED CT.
Healthland Partners with Health Language to Support ICD-10 Readiness and Terminology Standardization in Rural Hospitals
Oct 2 12
Health Language, Inc. announced that Healthland has selected its Language Engine (LE) and provider-friendly terminology (PFT) to enhance documentation and physician workflow in critical access and community hospitals. Healthland will integrate these tools with its inpatient and outpatient electronic health record (EHR) systems to support terminologies such as SNOMED CT and ICD-10 on a single platform. PFT enhances the clinical workflow by recognizing common clinical expressions, acronyms, and search terms and automatically associating them with standard codes sets, while the LE incorporates algorithms for searching, mapping and updating codes. Together, these solutions ease the transition to ICD-10, simplify problem lists and diagnosis searches, and support Meaningful Use standards.
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