Sharing learnings: Unleashing the power of private generative AI in Medical Affairs

Today’s blog post provides key learnings from the linkedin webinar held on May 28, 2024, offering a compelling overview into current applications of generative AI in Medical Affairs leveraging private or bespoke generative AI.

Whether you’re seeking to streamline operations, enhance accuracy, or drive scalability, the insights presented herein provide a valuable roadmap for embracing innovative generative AI – a transformative force in the dynamic landscape of medical affairs. This technology enables organizations to generate actionable insights from vast data repositories, drive unprecedented efficiency gains in knowledge work, and enhance accuracy across critical use cases such as scientific literature summarization, medical content generation, and healthcare professional engagement. By leveraging generative AI, you can elevate your organization’s medical affairs capabilities with unprecedented value-add and impact.

Why private generative AI in Medical Affairs?

Regulatory compliance and data privacy are critical: The healthcare industry is subject to stringent regulations and data privacy laws. Private generative AI allows for a tightly controlled and compliant environment, safeguarding sensitive information and intellectual property.

Full control only by using bespoke gen AI solutions: We’ve implemented together with the Medical Affairs teams internal and external data sources, such as publications, clinical trials, regulatory guidelines as well as Veeva Promomats materials and other internal data sources. Private generative AI solutions enable the creation of tailored knowledge bases, ensuring accurate and relevant outputs specific to your Medical Affiairs organization’s needs.

Ensure consistency and accuracy when generating outputs: By training the AI model on validated data, private generative AI ensures consistent and precise outputs across various use cases, such as summarizing publications, engaging with healthcare professionals (HCPs), or developing medical training materials.

Scalability and Future-Proofing as use cases often are interconnected: Once established, private generative AI solutions can scale across multiple use cases, therapeutic areas, and indications, providing a robust foundation for future growth and innovation.

What are the steps to advance with generative AI in Medical Affairs?

FFI has extensive proven experience spanning 15 months across 15 pharmaceutical companies, including implementing private generative AI solutions tailored for medical affairs functions. Their systematic approach focuses on defining and approving specific use cases that drive value for organizations. Here’s an overview of their step-wise approach:

Use case identification & goal setting: FFI employs design thinking approaches to engage teams in identifying and prioritizing high-impact use cases aligned with business objectives. Our assessment framework helps Medical Affaris organizations and beyond to pinpoint areas where generative AI can be of value.

Use case planning, ROI analysis & approvals: Detailed use case blueprints are developed, including ROI analysis frameworks. FFI facilitates stakeholder engagement, obtaining necessary approvals from IT, compliance, and other functions through comprehensive documentation, process guidance and support.

Data assessment, integration & solution build: With a focus on data protection, privacy, and quality, we create data capture blueprints for legal/IT review and implement validated, compliant data scraping processes in case external data is required. Our bespoke generative AI platform OneRay.ai  can be deployed on-premises or as a private SaaS, following rigorous IT risk assessment protocols (following ISO 27001 standard) and providing an API connector stack for seamless data integration.

Use case output validation & pilot: Medical Affairs pilot teams are trained using a validation process overseen by data scientists and generative AI experts. Iterative feedback loops ensure outputs meet the desired accuracy and quality standards before broader deployment.

Deployment, training, analytics & scale-up: With the validated use case, FFI supports company-wide communications, training, and continuous improvement through closed-loop learning approaches. Analytics and ROI tracking mechanisms are implemented, enabling organizations to scale the validated solution across additional use cases, therapeutic areas, and functions.

By leveraging FFI’s proven expertise and structured methodology, pharmaceutical companies can confidently navigate the implementation of private generative AI solutions, tailored to address their specific medical affairs requirements while maintaining regulatory compliance and data privacy standards.

Why FFI-Ventures?

• With extensive experience in Pharma & Medical Affairs, FFI deeply understands the unique challenges and requirements of Medical Affairs teams.
• FFI combines its generative AI expertise with an in-house agency, ensuring solutions are tailored to your specific needs and grounded in real-world practicality.
• Proven Track Record as FFI has successfully implemented private generative AI solutions for numerous healthcare companies, demonstrating its ability to drive tangible results and return on investment.

Generative AI is here to stay! By partnering with FFI, you’ll gain a trusted ally with the expertise to unlock the full potential of this transformative technology, empowering your organization to deliver exceptional value to healthcare professionals and patients alike. Reach out to us!

About OneRay.ai

OneRay.ai is a second-generation, bespoke generative AI solution co-created with medical affairs teams, incorporating a comprehensive set of features tailored to the unique needs within Pharma. Developed through close collaboration and iterative feedback loops, this platform offers a wide array of functionalities highly relevant to medical affairs professionals, such as automated literature summarization, medical content generation, validated data integration from internal and external sources, and specialized features such a medical key messages and behaviour change integration for engaging healthcare professionals and patients compliantly.