Clinical development is undergoing rapid transformation as trial designs grow more complex, data sources multiply, and operational uncertainty increases. Sponsors face rising pressure to design smarter trials, reduce failure rates, and make decisions earlier with greater confidence. Yet many of today’s challenges such as flawed protocol assumptions, delayed insights, unnecessary rework remain preventable with correct clinical trial technology combined with human expertise.
In this webinar, we explore the three technology categories that are reshaping the future of trial design and implementation: data-driven modelling and simulation, in-stream decision-making enabled by integrated analytics, and the accelerating impact of AI across clinical workflows. Attendees will gain a clear view of how these innovations enhance feasibility assessment, de-risk design choices, optimize operational performance, and strengthen trial delivery from planning through submission.
Join MMS Board Member and biometrics expert Irving Dark, along with Chris Schoonmaker, Chief Operating Officer, and Stephine Keeton, Senior Director, Biometrics, as they examine real-world use cases and offer strategic guidance on how sponsors can adopt these capabilities to improve quality, reduce risk, and meet development milestones more efficiently.
Watch This Webinar To:
By attending this session, you will learn how to:
- Leverage modelling and simulation to optimize protocol design, evaluate scenarios, and reduce avoidable trial failures.
- Interpret feasibility signals and use data-driven insights to improve enrolment potential, sample size decisions, and design robustness.
- Implement in-stream decision-making tools that integrate EDC, PV, audit trails, external data, and data lakes for real-time operational oversight.
- Understand how AI is transforming study design, data cleaning, coding, analysis, authoring, and regulatory documentation workflows.
- Improve decision confidence, reduce rework, and accelerate timelines with technology-enabled processes.
- Identify practical steps for adopting analytics and AI capabilities within existing biometrics and clinical operations frameworks.
What You Will Learn:
- Trends driving increased complexity in trial design and feasibility assessments.
- How modelling and simulation supports adaptive and fixed design scenarios, patient burden assessment, and operational optimization.
- Case examples highlighting success rates and efficiencies achieved with data-driven design approaches.
- How in-stream analytics enable earlier detection of issues, faster risk mitigation, and proactive decision-making.
- The evolving role of AI across biometrics, clinical operations, and documentation—from automation to intelligent agents.
- Live expert discussion on where clinical development technology is heading and how sponsors can prepare.
Who will benefit from attending?
This webinar is designed for professionals across:
- Clinical development and clinical operations
- Biometrics, biostatistics, and data science
- Clinical data management
- Regulatory strategy and submissions
- Clinical innovation
- Medical writing and clinical documentation
- Program management and trial leadership teams
Anyone involved in designing, optimizing, or managing clinical trials will benefit from the insights shared.
FAQs
Who is this webinar for?
Clinical development leaders, biometrics teams, operations professionals, medical writers, data scientists, regulatory strategists, and anyone responsible for optimizing trial design or delivery.
Will a recording be available?
Yes. All registered attendees will receive on-demand access after the event.
Do I need to prepare anything in advance?
No preparation is required. Simply register and join at the scheduled time.
How can I learn more or contact the speakers?
Email info@mmsholdings.com and our team will connect you with the right expert.
Register Now
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