SUFICARE automates extraction and classification of unstructured data across various clinical notes into a structured form


Clinical notes refer to a wide variety of documents generated on behalf of a patient in many care activities. They are a key component to communicate the health status. They include notes to support transitions of care, care planning, quality reporting, billing and even handwritten notes by care providers.

Traditionally these unstructured documents require hours of manual data entry by reading, tagging, classifying and structuring into a database.

The Problem

The process of extracting critical information from unstructured data in clinical notes, is manual, time-consuming and inefficient with possible errors and miss identification.

How We Solve it

Key capabilities of include.

Extract Insights

Enrich Data

Text Categorization

Intelligent Search


Key business benefits of include:

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