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Extract Data from Unstructured Text

Use Health Language NLP and reference data to extract critical information from free text notes, and clinical and claims data, to improve clinical decision support, enable analytics, and optimize quality measure reporting.

Tag clinical concepts in clinician notes to capture additional information

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Improve quality of care

Improve the effectiveness of your care and disease management programs by leveraging unstructured data to identify at-risk patients.

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Maximize reimbursement

Ensure your clinicians are getting credit for managing patients when participating in value-based payment models.

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Optimize analytics

Leverage clinical data from EHRs, labs, and pharmacies to improve overall performance measures for important dimensions of care and service.

Find additional data in structured and unstructured text

  • Data normalization/List extraction: Extract and codify data from clinician notes including problem lists, diagnoses, med list allergies, and labs so that it can be semantically shared to enable interoperability or stored in your data repository.
  • Article tagging: Tag search terms within literature such as articles and journals to give users access to the right information at the right time.
  • Quality measure reporting: Use tailored NLP capabilities to extract data locked in unstructured notes needed for quality measure reporting, including CMS Clinical Quality Measures, PQRS, ACO Clinical Quality Measures, and HEDIS Measures.
Health Language AI/machine learning/NLP applications are included in our complete cloud-based solution, which lets you collaborate on mapping while maintaining full content versioning and a complete audit trail.

 

Need to harmonize data from disparate sources into standard terminologies?

Normalize your clinical and business data to standard terminologies so it can be used for reporting, analytics, data warehousing, and other enterprise applications. Health Language solutions help you enable interoperability, improve patient care, and maximize reimbursement.

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Insights

Code groups (also called value sets) are just that: groups of codes that come from one or more standard vocabularies.

Healthcare providers and payers are increasingly responsible for monitoring the effectiveness and safety of care and generating reports for internal use and external regulators.