- Separate realistic career and business impacts from rumors and hype
- Build confidence in what is ultimately a new toolkit for your existing workflow
- Lead your team to an understanding beyond 0's and 1's
- Demonstrate and distinguish simple, intermediate, and advanced real-world applications
- Compare and contrast the technology platforms involved thus far
What are the key considerations in launch planning where AI can be of the most assistance? How can you maximize a partnership between AI and HI that gives you the most chance for success?
- Clarify where HI is most needed
- Envision the key factors separating failure from average from true success
- Review AI initiatives
- Deploy AI to evaluate commercial pipeline readiness
Every company is seeking AI solutions to patient identification and recruitment challenges – what steps can you take to get in the lead? Each hospital system uses de-anonymized data, which could allow AI solutions to extract specific patient characteristics to build the right cohorts you need for both your clinical and commercial timetables.
- Work within a tokenized system to accelerate cohort development
- Find specific attributes of interest within real-world evidence
- Build reasonable expectations for improvements to productivity
If you don't ask the right questions, AI can't give you right answers. We begin full audience participation in order to focus on the must-have features of AI prompts under the CLEAR-IT framework.
- Highlight characteristics of bad, good, and great prompts
- Distinguish between NLP and Gen-AI applications
- Gather group input on what goes into good prompts
Sit at an AI workstation and start to face your biggest questions about your day-to-day projects, with expert facilitators available for non-judgmental help. This session focuses on a Task Analysis Exercise that targets where GenAI can enhance efficiency throughout your workflow. What are the key tools for evaluating whether a task is AI-suitable? Working groups will each report back and share key learnings, so all participants will be ready for the Advanced workshop tomorrow!
- Quickly identify which tasks can – and cannot – be supported by GenAI
- Get a feel for how much time these tools require – and how much time they can save for you
- Recognize what successful GPT use looks like in your workflow
- Clarify the criteria that go into AI adoption under the 6 Quick Decision framework
- Build a personalized plan to position AI use for team members and upper management
- Separate working groups will cover:
- Developing commercial strategy from preclinical to NDA submission
- Building crucial skills for NPD and launch team leaders
- Working with R&D to formulate brand narrative
- Bringing sales focus to the next level
- Highlight the differences between GPT and more advanced applications
- Recognize which tools and platforms have next level, rarely seen steps
The mistakes surrounding the rise of e-commerce provide a valuable lesson in mainstreaming AI among your teams. By keeping your existing processes and roles and having AI enable better performance, you can expect to see faster ROI than if you attempted to build entirely new teams around them.
- Map out where AI can easily plug in and bring the fastest savings
- Plan to lower the cost of agency work if they are using AI for your materials
- Build a council of existing stakeholders to maintain open conversations and understand risk
Applications far beyond standard GPT tools can have more impact on your workflow but are less known and require more detailed input. Detailed use cases help illustrate how quickly these can take effect when used correctly.
The successful adoption of new AI tech requires not only that team members understand it but that they are given the necessary time to absorb it at their own pace, with respect to their distinct learning styles. Time-based adoption goals are unrealistic; it is more important that leadership recognize the need for a comprehensive approach from the bottom-up.
- Understand the learning priorities of early adopters
- Frame your messaging differently based on staff age, skill, and experience
- Deploy chatbots both for field sales and to help give team members their time back
Sit at an AI workstation and start to face your biggest questions about your day-to-day projects, with expert facilitators available for non-judgmental help. This session focuses on mapping out the business use case for advanced AI in your team, and then on the hands-on use of these advanced tools across relevant use cases to understand how they will come to be included in the future of medical affairs. Working groups will each report back and share key learnings, so all participants will be prepared to deploy advanced AI in their organizations.
- Identify opportunities within your team to use advanced AI
- Create a strong business case that these tools can solve core challenges for your team
- Get a feel for advanced AI tools and their practical applications
- Compare and contrast best practices on advanced AI vs prompt-only GPT tools
- Separate working groups will cover:
- Developing commercial strategy from preclinical to NDA submission
- Building crucial skills for NPD and launch team leaders
- Working with R&D to formulate brand narrative
- Bringing sales focus to the next level