Archives: Agenda

Turning large-scale perception data into smarter engagement strategies

• Sharing insights from CISCRP’s 2025 survey of 12,000+ individuals, including 4,000+ past trial participants, to unpack patient and public perceptions of AI in clinical research
• Exploring what the data means in practice, highlighting concrete actions researchers, sponsors, and sites should take to build trust, improve communication, and use AI responsibly
• Applying engagement and communication findings to recruitment and retention, including trial information-seeking behaviors, DCT preferences, results sharing expectations, and demographic-specific insights

In 2026, clinical research is characterized by a “flight to quality,” with biopharma investment consolidating into high-competition therapeutic areas that offer the greatest scientific and commercial potential.  In addition, the industry is moving from a phase of pilot testing into a “year of implementation”, where advanced technologies likeArtificial Intelligence (AI) take shape.  In this session an overview will be presented around both the funding environment and what is the indication focus today and also shifts in implementation of new and innovative ways to implement clinical research.

• Discussing how digital workflows impact inspections
• Preparing AI-related documentation and audit trails
• Strengthening quality systems for evolving expectations

Moderator: John Seman, CEO, Revitale Pharma

• Exploring automated data cleaning and reconciliation
• Supporting near real‑time decision‑making
• Strengthening interoperability across clinical systems

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• Exploring the meaning of risk sharing across roles
• Supporting balance between procurement and R&D priorities
• Strengthening partnership models through transparency

Moderator: Carrie Lewis, Executive Director, Clinical Program Optimization, Keenova Therapeutics

• How CRO incentive plans are typically structured and where misalignment starts
• Why they often fail: volume-driven KPIs over quality and outcomes
• The impact on timelines, data quality, and sponsor–CRO relationships
• Moving towards outcome-based, shared risk/reward models
• Practical examples of more effective incentive frameworks