Natural Language Processing Solutions for Healthcare and Pharma | Linguamatics

From social determinants of health (SDoH) to quality measures and patient safety, our healthcare NLP solutions enable providers to gain a fuller understanding of their patients.

Voice of the customer data

Voice of the Customer

Voice of the customer (VoC) call feeds can provide a rich source of real world data (RWD). Pharma and healthcare organizations need to understand how their customers (e.g. patients, clinicians) are responding to marketed drugs and gain a broader picture of patient reported outcomes

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.

Social Determinants of Health (SDoH)

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.

Patient Safety

Patient safety is always a priority. Detecting early signs of clinical risk and disease gives us a greater chance of a successful outcome.

Quality Measures

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

Disease Registries

Better disease management may be obtained by adding vital information in the form of unstructured data to your disease registries.

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.

Big Data Analytics in Healthcare

The term "big data" was coined in the early 2000s by industry analyst Doug Laney. In Laney's definition, the term referred to information existing in large data sets, with high update rates and in a variety of formats.

Success Stories

Case Study: Improving Care and Population Insights in Health Systems with NLP

Case Study: Improving Care and Population Insights in Health Systems with NLP

Full Case study

Customer Success

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