Signals Clinical Connect
AI for Data Review with Confidence: How Data Managers Use the Custom Listing Generator in Signals Clinical™
A practical look at how the Custom Listing Generator helps Data Managers create transparent custom listings, strengthen oversight traceability, and reduce dependence on slow programming workflows.
Data Managers and Medical Monitors are being asked to review data sooner, improve traceability, and strengthen oversight accountability, yet many teams still depend on delayed listings, programming queues, and fragmented tools that make collaboration slow and difficult to audit.
This webinar introduces the Custom Listing Generator in Signals Clinical, an AI-powered capability designed primarily for Data Managers that enables study-aware custom listings from natural-language requests, with visibility into how each listing is interpreted, built, and validated. The result is faster access to analysis-ready data, stronger documentation of review activity, and clearer ALCOA+ evidence across listings, issues, and queries.
Signals Clinical helps review teams:
- Replace scattered emails, PDFs, and portals with a single auditable workspace
- Reduce dependence on services-based programming queues through reproducible AI-generated listings
- Give Medical Monitors earlier access to reliable listings for potential trend and safety signal exploration
- Join us to see how Data Managers and Medical Monitors are applying transparent, explainable AI in Signals Clinical to improve oversight confidence and accelerate decision-ready review.
Clinical Connect Speakers
Simone Sharma PhD, Product Leader, Clinical, Revvity Signals
Simone Sharma has been working on solutions for data access, integration and advanced analytics within clinical research for almost a decade. In her current role as the Lead Clinical Product Manager, Simone is focused on building innovative Clinical Analytics solutions by converting business objectives into tangible products. Her previous roles have included Strategic Lead for Translational Analytics and Snr. Data Analytics Application Specialist at Revvity Signals (formerly PerkinElmer Informatics). Prior to that, she held Application Specialist roles (in Genomics) at Integromics and UCL.
Christie Quarles PhD, Product Marketing Manager, Clinical Analytics, Revvity Signals
Christie is a senior clinical leader at Revvity Signals, bringing over 20 years of experience across life sciences and clinical analytics. She has deep expertise spanning clinical trials, real-world evidence, vaccine development, and genomics, with a career focused on translating complex clinical data into actionable insight. Throughout her work, Christie has helped shape and guide enterprise clinical solutions used across biotechnology and healthcare organizations worldwide.
Unlock the Power of Clinical Data Science with Signals Clinical
As a Spotfire user, you'll appreciate how Signals Clinical extends your existing capabilities with purpose-built clinical workflows while maintaining the flexibility you love. Learn how leading organizations reduce costs, accelerate insights, and make traceable decisions directly within their clinical trial workflows.
We will demo these capabilities and discuss our ongoing efforts to accelerate data understanding in clinical studies.
Are you looking to revolutionize your clinical data review and medical review analytics and workflows? Join our exclusive webinar to discover how Signals Clinical, the only SaaS solution that combines prebuilt clinical visualizations with Spotfire's customization capabilities, can transform your clinical research workflow.
In this session, we'll demonstrate how Signals Clinical eliminates resource-intensive approaches to clinical data access and analysis. Say goodbye to slow data delivery, endless email exchanges, and fragmented decision-making. Instead, experience centralized, real-time, self-service access to clinical trial data with robust analytics that provide a complete picture of data quality, patient safety, treatment efficacy, and trial progress.
What You Will Learn:
- How to access and unify data from multiple sources including Medidata Rave and Veeva Vault EDC, including two-way communication with EDC
- Pre-built clinical visualizations that complement your custom Spotfire analytics
- Collaborative features that create a unified record of clinical trial decisions
- How to efficiently scale your clinical research without adding headcount
- Streamline clinical data mapping and cross study analysis by connecting your Spotfire analytics to Signals Clinical
Clinical Connect Speakers
Brent Meyers, Executive Director, Clinical Analytics, Revvity Signals
Brent Meyers has been building analytics solutions and leading technical delivery teams for over 22 years. At Revvity Signals, he leads the Clinical business team that directs product management, strategy, and business development. Prior to joining Revvity, he designed and built innovative clinical, operational, post-marketing, and other analytics solutions at IQVIA and PPD. Outside of the clinical trial space, Brent has also built analytic solutions for Northrop Grumman and led shipboard technical teams as an officer in the U.S. Navy.
Brent holds a BA from The Citadel and an MBA from Meredith College.
Philip Ross PhD, Strategic Clinical Analytics, Revvity Signals
Philip Ross partners with healthcare and pharmaceutical companies to enrich our understanding of novel treatments. Formally a clinical analytics practitioner with Pfizer and Bristol-Myers Squibb, Philip brings deep pharmaceutical experience in visualization of clinical data to drive clinical decision-making.
Philip has a Ph.D. in Pharmacology from The Ohio State University.
Don Sullivan, PhD, Principal Field Application Scientist, Revvity Signals
Don joined Revvity Signals after 11 years at Spotfire where he helped build their clinical practice and worked with both life sciences research and development customers. Prior to joining Revvity, he worked in pre-sales consulting and pre-sales management positions at Spotfire, Zephyr Health, Cytobank, Ingenuity, Incyte Genomics and Proteome. Before moving to the software world, he was research scientist at Mitotix, Inc.
Don earned his PhD in Cell Biology at Cornell which was followed by a Visiting Research Fellowship at the Department of Molecular Biology at Princeton.