Overview

It takes an average 3 months to write a single Clinical Study Report (CSR) document. Multiple resources (Internal + CROs) are invovled in writing CSR. One of the biggest challenge in Medical Writing is inconsistency of the text and language across the clinical documents.

Mining for similar clinical content from the historical library of clinical documents is humanly immpossible. Our Clinical Content Similarity helps find most similar and reusable clinical content from various input source clinical documents.





Architecture

Clinical NLP

Natural language processing (NLP), is a computing technique which parses and makes sense of free text. NLP is used to analyze text to determine its meaning, enabling computer applications that can communicate effectively with humans. Clinical NLP is a specialization of NLP that allows computers to understand and analyse the medical language from the documents. Our Clinical NLP engine compares thousands of clinical texts and determins the most common and reusable content.

Features




Intelligent Extractor

Parse the PDF clinical documents and extract the unstructured content

Clinical Document Repository

Document repository with both extracted source clinical content and approved clinical content

Execute AI Engine

Ability to execute the AI project by Sentence or by Section


No Tagging

No need to spend hours tagging the data for training the AI engine

Recommendation Engine

Get the most similar and reusable clinical content by our recommendation engine

Approval Workflow

Ability to review and approve the content to push into global approved content repository

Deployment






Cloud



On-Premise



Validated Hosting

Request a demo of our Clinical Content Similarity product

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