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Clinically Intelligent Natural Language Processing

Optimize manual medical record review using the Health Language Clinical Natural Language Processing solution. Automate the review of unstructured data, extract clinically relevant data, and codify extracted data to industry standards.

Information Extraction for High-Value Use Cases

Quality Measure Reporting

Unlock data trapped in the patient record as unstructured text to provide a more accurate picture of a patient’s health status to identify potential gaps in care or documentation that could impact quality scores.

Risk Stratification

Accelerate manual workflows by highlighting clinical concepts that qualify as a complicating condition to more accurately characterize the risk of a patient, potentially influencing reimbursement in value-based payment models.

Medical Necessity Review

Automate patient record review identifying relevant clinical information needed to determine appropriate coverage of prescribed therapy.

Predictive Analytics

Extract and normalize data locked in unstructured text to empower predictive analytics and machine learning models with the most clinically accurate representation of data needed to appropriately assess dimensions of care and cost.

Unlock Value Hidden in Unstructured Text

Clinical Natural Language Processing infographic

Discover the Power of our cNLP Lexicon

For more than a decade, we’ve worked with 300,000+ clinicians across numerous EHR platforms to capture how they search and document problems and diagnoses at the point-of-care. Combining that knowledge with common words associated with labs and drugs, we’ve created a new library of synonyms that gives you the ability to convert text – at scale.

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Our robust API-enabled solution reduces data processing from hours to seconds. This puts your organization in a better position to leverage complex data sets from the patient’s EHR at a massive scale to support risk adjustment, quality measures, determine medical necessity and other data quality initiatives.

We’ve made it easier to extract meaningful and relevant clinical information from unstructured data found in a variety of patient medical records, such as:

• Labs
• Medication lists
• Physician notes
• Radiology reports
• Your organization’s data warehouse(s)

Health Language 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.