Archives: Agenda
Great expectations and how to meet them – Implementing AI into your study
- Understanding stakeholder expectations for AI in clinical research
- Practical steps for integrating AI into study design and operations
- Ensuring data quality, transparency, and regulatory compliance
- Measuring adoption, engagement, and return on investment from AI initiatives
Embracing the unknown: Tips and tricks on how to grow your clinical operations
- Building a clinical operations function from the ground up
- Recruiting and Developing the right talent
- Establishing a fit-for-purpose quality framework
- Service provider strategy
- Leading through change and uncertainty
Reimaging Clinical Operations: Navigating the Future of Efficiency and innovation….an outlook into the year 2050
Have you ever wondered what the future holds for clinical operations? Currently the industry is laser focused on decentralised trials, patient diversity, risk-based monitoring, real world evidence and digitalization but where, exactly, is all this going to lead? More importantly how can we prepare for what lies ahead? Based on experience, and market and business intelligence Bernhard will dare to give us a glimpse into the future by:
- Exploring the challenges to come
- Recommending solutions to implement now, in preparation for tomorrow
Choosing the right CRO: key considerations for small biotech’s
- Evaluating CRO capabilities and experience relevant to your specific therapeutic area and development stage
- Balancing cost, quality and timelines within tight budget constraints
- Negotiating contracts with flexibility to protect your biotech’s goals
The Global biotech sector: A CRO perspective Insights from global and China biotech leaders – What sets winning companies apart
- Rising scientific and operational complexity is reshaping global biotech
- Biotech confidence is strong despite escalating funding and R&D pressures
- AI and modern trial designs are accelerating development and decision making
- Operational discipline, especially protocol quality, now drives timeline performance
- Integrated CRO partnerships enhance predictability across the development lifecycle
FIESDIE CHAT From Machine Insight to Manuel Review: AI for Vendor Proposals We will focus on
Building out the RFI? What you outsource, what you need, and how many site visits? AI
- Extracting and standardizing key details from unstructured vendor documents
- Identifying inconsistencies, omissions, or gaps within proposals
- Supporting decision-making while safeguarding confidentiality and protecting intellectual property contained in submissions
- Case Study
Moderator: Silvana Giro, Senior Management, Global Medical & Regulatory Affairs, Bracco Imaging
Unlocking Efficiency in ClinicalTrials: Scaling eSource for Enhanced Data Management and Collaboration
- It’s no longer a question whether digital transformation will happen—it is how fast we can scale it.
- When innovations such as eSource/EHR-to-EDC operate at full swing, it will allow us to perform research that otherwise wouldn’t happen and to develop medicines that otherwise would never make it to the patient
- Scaling up the technology opens new avenues for collaboration, involving pharmaceutical companies, hospitals, along with technology vendors and academic partners.
Reserved for Event Sponsor
Why are eCOA still so hard?
Despite decades of experience implementing electronic clinical outcome assessments (eCOAs) in clinical trials, we continue to grapple with the same operational challenges during set-up and implementation. They’re solvable – yet they persist. Why?
This presentation will discuss key barriers that continue to slow progress, including:
- Licensing and copyright holder review processes
- Perceived need for screenshots for IRB/EC submission
- Fragmented stakeholder collaboration and lack of true partnership
- Unbalanced expectations – electronic vs paper, BYOD vs provisioned
- sconceptions around regulatory expectations
By addressing these challenges head-on, and fostering genuine collaboration, we can solve them if we truly want to gain efficiencies and optimisations in clinical trial set-up.