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A better approach to Natural Language Processing

Clinical Natural Language Processing (NLP)

The Problem

Meaningful clinical information is trapped as unstructured text in various clinical documents and physician notes.

The Solution

SIFT (Semantic Interpretation of Free Text) unlocks hidden data by identifying and returning the coded, actionable information you need. Through advanced normalization, mapping, and clinical natural language processing capabilities, SIFT returns coded information by analyzing unstructured text to empower better data exchange, decision support, population health, and analytics.

What does SIFT do?

Analyzes unstructured text, targets and identifies clinical information, and returns structured, actionable data.


Recognizes full, partial, or synonymous terms and matches them to targeted terminologies to impact true semantic meaning.


Uses advanced text analysis and targeted, rules-based matching to go beyond data extraction to meaningful interpretation and analytics.

Unlocks valuable insights, expanding the actionable data available to healthcare applications and providers.


Fast enough to dynamically process provider notes as they are entered and scalable enough to process a full repository of documents.

Use Cases for SIFT


Population Health/Data Analytics


Medication Reconciliation


Computer Assisted Coding


Clinical Documentation Improvement


Clinical Decision Support


Clinical Trial Recruitment


Core Measure Reporting


Case Management

…and more!

SIFT Clinical Natural Language Processing

Download the Data Sheet

"80% of clinical information is stored as free-text. It's time we do something about it."

Symedical the Informonster Healthcare Data Quality and Interoperability Solutions

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