Clinical Content Similarity
AI to find the most similar and reusable clinical content for Medical Writing
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 Content Repository
Content repository with both source clinical content and approved clinical content
Clinical NLP
Specialized NLP engine which understands medical language and its semantics
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