AI Powered Clinical Document Analysis

Technology Stack

Problem Statement


Manual Review Process Inefficiency: The manual review of medical trial documents is time-consuming and error-prone, requiring human experts to compare for accuracy and completeness.


Medical Terminology Mismatch: Document reviewers faced challenges in ensuring consistency across documents due to differences in medical terminologies and conceptual variance.


Risk of Oversight: Human reviewers may overlook critical disparities or inconsistencies between documents, potentially leading to approval delays or even patient safety issues during the trial.


Lack of Standardization: Without a universal structure for documents, interpretation by humans can be challenging, leading to inefficiencies and inaccuracies in the review process.


Resource Intensiveness: The manual review process requires significant human resources, leading to high costs and potential bottlenecks in the approval process for medical trials.

Solution Overview


OptiSol has collaborated with a medical research company and implemented a custom Gen AI pipeline for analyzing varied medical trial documents, including protocol documents and consent forms.


OptiSol has designed an intuitive dashboard interface where users can upload documents for automated comparison and review of results, streamlining the overall process.


We have defined and adhered to a universal structure for medical trial documents, facilitating easier interpretation by both human reviewers and AI algorithms.


We utilized syntactic and semantic analysis techniques to compare relevant sections of different documents, such as adverse symptoms sections, to identify disparities and ensure consistency.


Our team has implemented a mechanism for the AI pipeline to continuously learn and adapt, improving its accuracy and efficiency over time through feedback loops and updates.

Business Impact


Improved Efficiency: Automated document review processes significantly reduced the time and resources required for approval, accelerating the overall timeline for medical trials.


Enhanced Accuracy and Consistency: By leveraging Gen AI for document comparison and analysis, the risk of human error is minimized, ensured greater accuracy and consistency in trial documentation.


Cost Savings: Streamlined the review process through automation, leading to cost savings by reducing the need for extensive manual labor and expediting trial approval timelines.


Compliance and Risk Mitigation: Ensured consistency and completeness in trial documents, reducing the risk of compliance issues, and improving patient safety.


Competitive Advantage: Adopting AI for document review in medical trials enhanced efficiency, attracting collaborators and investors for competitive advantage.

Testimonials of Our Happy Clients

Summarize Healthcare Documents into one-page Insights with elsAi - Our GenAI Co-Pilot!

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