Enhance clinical documentation with unstructured data using Linguamatics Health

The challenge

Detailed clinical documentation, especially for the problem list, is critical for patient care and analytics. With hospital staff under constant pressure, it is impractical for all data to be entered in structured form. Problem lists can get out of date or have missing elements impacting care and reimbursement. Details in the clinical narrative often present a truer understanding of the patient.

How can we improve problem list reconciliation using the clinical narrative text?

The solution

Linguamatics Health, powered by I2E, enables automated assessment of the patient narrative to identify missing documentation or errors.

  • Mine for ejection fraction and pulmonary function values to identify missing heart failure and COPD patients
  • Extract staging, body site, histology, and biomarker information for cancer patients
  • Analyze behavioral health notes for comorbidity complications

Find out more about I2E's Extract Transform Load (ETL) solutions here

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