Regulatory Compliance

The pharmaceutical industry is among the most heavily regulated in the world. Linguamatics Natural Language Processing (NLP) can bring time-saving benefits for regulatory compliance compared to manual efforts, which are often slow and expensive.

Population Health Management and Analytics

To enhance population health analysis and identify the care needs of individuals, providers and payers must extract insights from data stored in unstructured text in EHRs.

Social Determinants of Health (SDoH)

Identifying the social determinants of health (SDoH) hidden within clinical notes and other patient data enables providers and payers to build a complete picture of their patients and members.

Risk Adjustment

With growing populations of increasingly complex patients, the importance and challenge of accurately documenting and capturing patient disease under value-based care arrangements has never been greater. Technology that enables accurate and consistent coding of patient conditions improves outcomes and mitigates financial risk in delivery of value-based care.

Drug Discovery

Understanding gene-disease associations, pathways and systems, is critical for drug discovery and basic research. Text mining can access the landscape of relevant information.

Clinical Research

Mining unstructured data to support medical research has been prevalent for many years. This requires analysis of Big Data sets and often includes manual chart review to identify patients and extract specific attributes.

Quality Measures

The regulatory burdens of initiative quality measures continue to put a strain on overworked hospital departments, and payers alike.