LTIMindtree Data & AI Medical Legal Regulatory & Review

Revolutionizing Medical, Legal, and Regulatory Review with GenAI on Microsoft Azure

In our pursuit of innovation within the Life Sciences sector, we have developed a cutting-edge application for the Medical, Legal & Regulatory Review process. This application leverages Microsoft Azure to deliver advanced AI solutions that transform Life Sciences and Healthcare.

Application Overview Our application streamlines the review process by extracting text and features from advertisement images of medical and OTC drugs and comparing them against USFDA guidelines. This process calculates a compliance score based on attributes such as side effects, warnings, effectiveness, adverse reactions, reporting negative side effects to the FDA, language, and readability. Additionally, our application features a robust content creation section, enabling users to generate emails, social media posts tailored for specific age groups, and perform language conversions, such as translating content from English to Spanish.

Why Microsoft Azure?

1. Scalability and Flexibility: Azure's cloud infrastructure allows us to scale our operations seamlessly, ensuring our AI models handle vast amounts of data and complex computations without compromising performance.
2. Advanced AI Capabilities: Leveraging Azure's AI services, including Azure OpenAI Service, we integrate sophisticated AI functionalities such as Image-to-Text and Text-to-Text conversions. These capabilities enable us to develop innovative solutions that predict compliance scores, enhancing regulatory adherence and operational efficiency.
3. Security and Compliance: Azure provides a comprehensive suite of security features and compliance certifications, ensuring our data and AI models are protected to the highest standards.
4. Integration with OpenAI: Our project utilizes OpenAI's powerful models for generating insights and predictions. Azure's seamless integration with OpenAI allows us to harness these capabilities effectively, driving innovation in areas such as image analysis and natural language processing.
5. Cost Efficiency: Azure's pay-as-you-go model and cost management tools help us optimize our expenditures, ensuring we deliver high-quality AI solutions within budget.

Project Highlights • Azure Virtual Machines: Deployed to provide the computational power needed for our AI models, ensuring high availability and reliability. • Cloud Functionality: Utilizing Azure's cloud services, we have implemented robust data storage, processing, and analytics solutions, supporting our AI models' training and deployment. • Generative AI for Compliance: Designed for the Medical, Legal & Regulatory Review process, we extract text and features from advertisement images of medical drugs using Image-to-text LLM Model and compare them against USFDA guidelines to calculate a compliance score. This score is based on attributes such as side effects, warnings, effectiveness, adverse reactions, reporting negative side effects to the FDA, language, and readability. • Content Creation: Our application features a robust content creation section, generating emails, social media posts tailored for specific age groups, and performing language conversions, such as translating content from English to Spanish. • Enhanced User Interface: Our application boasts an enhanced user interface designed for ease of use and efficiency, ensuring users can navigate the application seamlessly and access critical features quickly.

Challenges and Solutions While developing and deploying our GenAI project, we anticipate several challenges:

1. Data Privacy and Security: Ensuring the privacy and security of sensitive medical data is paramount. We address this by leveraging Azure's robust security features and compliance certifications.
2. Scalability: As our user base grows, maintaining performance and scalability will be crucial. Azure's scalable infrastructure allows us to expand our resources dynamically to meet increasing demands.
3. Integration with Existing Systems: Integrating our solution with existing healthcare systems can be complex (e.g., Veeva Vault, SharePoint, etc.). We mitigate this by using Azure's comprehensive integration tools and services, ensuring seamless interoperability.
4. Regulatory Compliance: Keeping up with evolving regulatory requirements is a continuous challenge. Our application is designed to adapt to new guidelines, ensuring ongoing compliance through regular updates and enhancements. By choosing Microsoft Azure, we leverage a powerful and versatile cloud platform, positioning ourselves at the forefront of AI innovation in the life sciences sector. Our commitment to excellence and Azure's advanced capabilities ensure we deliver transformative solutions that drive better outcomes for Life Sciences industries.