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Connecting patients, sites, and data

Conversations between Capgemini and Salesforce on clinical trials engagement

Clinical trial engagement has become a critical focus for life sciences leaders as they seek to reduce patient dropout, modernise trial delivery through decentralised models, and align with evolving patient-centricity regulations. This convergence of challenges presents a strong opportunity to combine the relationship management capabilities of Salesforce Life Sciences Cloud with Capgemini’s extensive experience in clinical operations, transformation, and technology implementation.

In this three-part video series, Capgemini and Salesforce experts join forces in a series of candid, unedited discussions on today’s challenges.

Key topics covered in this series:

  • Patient recruitment and retention challenges
  • The role of digital health and AI in clinical research
  • The future of clinical trial participation
  • Site-centric approaches to clinical trial design
  • Reducing operational complexity in clinical research
  • Building stronger connections across the clinical trial ecosystem
  • Applying AI to real clinical development challenges
  • Improving trial efficiency, collaboration, and outcomes
  • The future of AI-enabled clinical research

Explore all episodes

In Episode 1 of Clinical Trials Engagement series, Capgemini and Salesforce experts explore the evolving role of patient centricity in clinical development and discuss how technology, flexibility, and human-centered design can help improve patient recruitment, engagement, and retention.

From understanding the real cost of participant dropout to designing trial experiences that fit into patients’ lives, this conversation highlights why successful clinical trials must balance innovation with empathy.

Speakers:

  • Ivana Knyght, VP Life Sciences Industry Lead, Capgemini Invent
  • Sharmin Nasrullah, GM Life Sciences Clinical Development, Salesforce

Listen to the episode

In Episode 2 of Clinical Trials Engagement series, Capgemini and Salesforce experts explore the challenges clinical sites face in today’s increasingly complex research landscape and discuss how #technology can be used to simplify, rather than complicate, trial operations.

From managing multiple systems and workflows to reimagining how #technology supports site teams, this conversation highlights why empowering sites is essential to improving clinical trial performance, accelerating research, and delivering a better experience for patients.

Speakers:

  • Ivana Knyght, VP Life Sciences Industry Lead, Capgemini Invent
  • Sharmin Nasrullah, GM Life Sciences Clinical Development, Salesforce

Listen to the episode

In Episode 3 of Clinical Trials Engagement series, Capgemini and Salesforce experts explore the emerging role of Agentic AI in Life Sciences and discuss how intelligent, connected systems can help address some of the most complex challenges in clinical development.

Moving beyond individual use cases, the conversation examines how AI can support collaboration across sponsors, CROs, clinical sites, healthcare professionals, and patients to create a more connected and efficient clinical trial ecosystem.

Speakers:

  • Ivana Knyght, VP Life Sciences Industry Lead, Capgemini Invent
  • Sharmin Nasrullah, GM Life Sciences Clinical Development, Salesforce

Listen to the episode

Meet our experts

Dr. Ivana Knyght

Dr. Ivana Knyght

VP & Global Life Sciences Accelerator Lead, Capgemini Invent
Ivana is an established Life Sciences leader bringing a wealth of scientific, research, clinical and data expertise gained over the past 15+ years. At Capgemini, Ivana is at the forefront of driving digital innovation, business transformation and R&D acceleration for her clients. She provides strategic and scientific expertise to develop innovative solutions by employing emerging technologies, assets and platforms. She leads CxO-level business development, strategic deal shaping, and partnership building.

    FAQs

    Patients may leave clinical trials for a variety of reasons, including travel requirements, time commitments, complex study procedures, lack of engagement, or changes in their personal circumstances. Improving the patient experience through flexible trial models, digital tools, and personalized communication can help increase retention and reduce dropout rates.

    Patient-centric trial design focuses on reducing barriers to participation by making trials more accessible, convenient, and responsive to patient needs. This can include virtual visits, decentralized trial approaches, remote monitoring, and tailored communication strategies that help participants stay engaged throughout the study.

    Clinical sites play a central role in connecting patients, sponsors, CROs, and study data. Site coordinators manage multiple processes and technologies while supporting participants throughout the trial journey. Reducing site burden and simplifying workflows can improve operational efficiency, data quality, and overall study performance.

    AI and digital health technologies can help optimize patient recruitment, improve engagement, support site operations, and enable faster decision-making. When combined with high-quality data and effective processes, these technologies have the potential to improve trial efficiency, collaboration, and patient outcomes.

    Agentic AI refers to intelligent systems that can autonomously perform tasks, coordinate activities, and support decision-making across multiple stakeholders. In clinical development, Agentic AI could help connect sponsors, CROs, sites, healthcare professionals, and patients, creating a more integrated and efficient clinical trial ecosystem.