The MLR Catalyst
The Latest in a Legacy of AI Implementation in Healthcare and Pharma Communication.
Today we are implementing retrieval-augmented generative AI to allow implementation of AI in the tightly regulated Pharma milieu. This AI-powered MLR review tool is aimed at drastically reducing the time and effort needed for MLR review.
Using AI to simplify repetitive tasks
Quantitative and qualitative evaluation of alignment with pre-approved documents, claims, use-cases, variations for modular content etc.
AI built specifically with approved documents
A system that works strictly off of role-specific pre-approved knowledge base for Medical Affairs, Brand Teams, Legal, and Regulatory functions.
AI-driven accuracy assessment
Multi-modal AI evaluates text, images, tables, and videos for review accuracy using validated statistical techniques.
Reducing the time required for all steps of review
LLM enabled linking of source documentation and highlights for the specific part of the source document optimizes review time.
Mitigating effects of personnel changes
Machine learning components ensure that knowledge of every reviewer is captured and incorporated into the tool continuously.
Suggestions for improvement of content
Carefully engineered prompts ensure that the AI generates accurate suggestions for improvement of content.
Enabling reviewers to focus their intelligence
Reviewers queries based on their expert knowledge included by a feature that allows them to send well-defined queries to the AI.
Accuracy evaluation guided by human intelligence
Enables the reviewer to pose a user-defined query to enable the expert reviewer guide/direct the accuracy evaluation.
Veeva integration and firewalled knowledge base
Every user has access to files as defined by their role. Integration with Veeva to access and modify files in Veeva.