- How GenAI utilizes existing data and prediction models for clinical trials to reduce the operational burden
- In a conservative and cautious industry, are sponsors truly ready for AI adoption?
- Understanding the risks of diving head-first into a technology many still struggle to conceptualize
- How much risk is too much risk when implementing AI into your trial?
- Why an over-reliance on AI will ultimately fail: The need for human oversight when the tool is deployed and having enough people reviewing the quality of the data that goes into the final dataset
- Examples of successful and unsuccessful AI adoption
Moderator: Amanda Murphy, Senior Director, Data Intelligence & Solutions, GlobalData
In this session, we’ll address five of the most common myths surrounding mobile visits, replacing assumptions with real-world data and operational insights:
- Consistent clinician assignments build trust and strengthen patient relationships
- Mobile visits can offer greater privacy and comfort than traditional sites
- Decentralized models can accommodate complex protocols without compromising quality
- Structured planning makes mobile visits logistically viable and scalable
- Bringing research directly into communities expands access and improves retention and inclusivity
- Acknowledging the value that patients can bring to every stage of the drug development pathway
- Engaging patients and advocacy groups early on in the clinical trial design process
- How minimizing participant burden leads to on-time enrollment and completion
- Combining patient perspectives with those of healthcare professionals to create a holistic trial model
- Highlighting how to compensate patients
Moderator: Amanda Murphy, Senior Director, Data Intelligence & Solutions, GlobalData