Meaningful Use:
MedLEE™ Natural Language Processing  automaticly identify and extracts 80% of the meaningful use requirements from free text documents.

Core Measures:
MedLEE™ Natural Language Processing codifies problems, findings, allergies, procedures, meds, and lab tests for quantification of core measures reporting.

EHR Population:
MedLEE™ Natural Language Processing delivers discrete data into structured fields and improves the consolidated Patient Summary.

Health Information Exchange:
MedLEE™ Natural Language Processing structures data and translates into all industry standards ICD-9, ICD-10, CPT-4, Snomed CT and others for interoperability support.

Automated Inpatient Coding:
MedLEE™ Natural Language Processing for Computer Assisted Coding, Medical Billing and Coding, Data Mining and Abstraction. 

Clinical Decision Support:
MedLEE™ Natural Language Processing accelerates delivery of information to the right person at the right time to support appropriate care.

Automated Adverse Event Identification
MedLEE™ Natural Language Processing supports Adverse Event Notification to Risk Managers.

PQRI:
MedLEE™ Natural Language Processing automated the data's collection process and summarizes key data for physicians to capture PQRI incentives.

RAC Audit Compliance:
MedLEE™ Natural Language Processing can go through any free text (Word Document) and identify high risk non-compliant cases based on medical necisisty that require manual review.

Oncology:
Using MedLEE™ Natural Language Processing to extract information from Oncology Nursing Naritives.