Ramp-upgenAIsolutionsinpharma

Ramping-up private gen AI within Pharma and Medtech organizations

Especially for medical and commercial organizations, the integration of private bespoke generative AI solutions is becoming a game-changer. This blog post explores the strategic approach to implementing tailored AI solutions in the pharma industry, highlighting how FFI-Ventures can support organizations throughout this transformative journey.

The step-wise approach, introduced by FFI-Ventures, to implementing private bespoke Gen AI solutions in pharma provides a structured, comprehensive framework that guides organizations from initial concept to full-scale deployment, ensuring alignment with business objectives, regulatory compliance, and maximized ROI at every stage of the journey.

Step 1: Use Case identification & goals setting

This crucial first step lays the foundation for successful AI implementation. It involves a comprehensive analysis of potential use cases and aligning them with organizational goals. The process ensures that AI initiatives are strategically focused and have buy-in across the organization.

  • Develop a comprehensive use case identification and assessment framework
  • Implement design thinking approaches for team and organizational alignment
  • FFI-Ventures supports on this step the facilitation of workshops and provision of assessment tools (design thinking collaborations, identification of use cases, prioritization)

Step 2: Use Case planning, ROI-calculations & approval

Once use cases are identified, this step focuses on detailed planning and justification of (gen) AI use cases. It involves creating robust business cases, assessing technical feasibility, and projecting return on investment (ROI). This stage is critical for securing stakeholder approval and allocating resources effectively.

  • Create detailed use case blueprints
  • Conduct business and IT assessments
  • Perform ROI analysis using our proprietary framework
  • FFI-Ventures supports all these points above and prepares internal guidance on approval processes, conducts TCO calculations

Step 3: Data assessment, integration & solution build

This step addresses the technical core of the (gen) AI implementation. It covers data management, solution architecture, and regulatory compliance. The focus is on creating a secure, efficient, and compliant infrastructure that can support advanced AI capabilities while adhering to the stringent requirements of the pharmaceutical industry.

  • Establish data capture blueprints for data protection, privacy, and quality
  • Implement validated data scraping processes (requires legal/compliance approvals)
  • Choose between on-premise SaaS or bespoke/private SaaS solutions
  • Conduct IT risk assessments
  • Develop API connector stack for seamless data integration
  • FFI-Ventures support: Technical expertise in solution architecture, data compliance & security; and implementation of the activities above

Step 4: Use Case Output Validation & Pilot

Before full-scale deployment, it’s essential to validate the AI solution in a controlled environment. This step involves setting up a pilot program, training key personnel, and rigorously testing the AI outputs. It’s a critical phase for identifying and addressing any issues before wider implementation.

  • Design and implement pilot team training approaches
  • Establish validation processes, including ML/Gen AI instructions for data scientists
  • FFI-Ventures support: Pilot program management and validation support/oversight

Step 5: Deployment, Training, Learn & Scale Up

The final step focuses on rolling out the AI solution across the organization. This involves not just technical deployment, but also change management, user training, and continuous improvement processes. The goal is to ensure widespread adoption, maximize the value of the (gen) AI solution, and create a foundation for future scaling and innovation.

  • Develop company-wide communications and promotion strategies
  • Implement training programs with a closed-loop approach for continuous improvement
  • Track analytics and ROI
  • Integrate AI solutions along existing processes
  • Scale LLM and use cases
  • Allow external vendors to access LLM for specific, agreed purposes (scaling use cases)
  • Achieve company-wide integration
  • FFI-Ventures support: Change management, training facilitation, and scaling strategies & implementations

Conclusion:

The adoption of private bespoke Gen AI solutions in the pharmaceutical industry represents a significant leap forward in innovation, efficiency, and competitive advantage. By following a structured approach and leveraging the expertise of FFI-Ventures, Pharma, Biotech & Medtech companies can navigate the complexities of AI implementation, ensure compliance, and drive tangible business results. As the industry continues to evolve, those who successfully harness the power of tailored AI solutions will be well-positioned to drive value and impact.

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.