Clinical NLP

Clinical Natural Language Processing

An innovative approach to capturing valuable information locked in free text.

It is estimated that 80% of clinical data is stored as free text. This in turn makes data dirty and hard to deal with. Without set standards there is no way to leverage data for decision support, improved analytics (population health) or effectively exchange information. Our Clinical Natural Language Processing tools allow clinicians to use the medium they prefer for capturing information, while still being able to take advantage of rich results derived from unstructured text.

Dirty data presents an infinite number of ways for terms to be misspelled, which can cause organizations to potentially classify information incorrectly. Context is important.

Our tools are not a black box, thus allowing configuration or quick implementation.

Learn more about how our Clinical Natural Language Processing tools provide fast, actionable information without the traditional pains of typical NLP.

Use Cases:

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Data Analytics / Population Health

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Clinical Decision Support

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Medication Management

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Clinical Trial Candidates

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Computer Assisted Coding

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Clinical Documentation Improvement

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Core Measure Reporting

…and more!

True Semantic Interoperability Starts Here

Learn more about our products that can help you achieve true semantic interoperability for all your data quality initiatives.

Symedical the Informonster Healthcare Data Quality and Interoperability Solutions

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