The planned sites in Livonia, Las Vegas, and San Antonio would expand a partnership that places clinical research and health screenings inside Walmart stores.
|Articles|February 15, 2022
Smarter Signal Management: AI, big data, and predictive analytics
Author(s)Oracle
What if you could predict potential safety issues before clinical development begins? Innovative new signal detection and management approaches have been developed to help clinical trial sponsors, manufacturers, and CROs combat safety-related challenges and provide insight to be used to predict potential safety issues even before clinical development begins. Applying those learnings to their choice of initial research candidates can ultimately mean safer medicines for patients.
Related to this article
In this video interview, Kent Thoelke, CEO of Paradigm Health, calls for safe harbor protections, CMS reimbursement safeguards, and funding mechanisms modeled on EHR meaningful use to help community and rural institutions participate in research on par with academic centers.
In today’s ACT Brief, we examine why community and rural patients lack access to research as a care option, what makes AI assistants trustworthy in regulated trials, and how FDA draft guidance could let gene editing therapies cover patient-specific variants.
In this Q&A, E.K. Koh, chief product officer at Suvoda, discusses what separates a trustworthy AI assistant from one that adds risk, why curated clinical knowledge matters more than general-purpose flexibility, and what safeguards must be in place when assistants move from answering questions to taking actions in clinical trial systems.
In this video interview, Kent Thoelke, CEO of Paradigm Health, explains why patients in community and rural settings too often lack access to clinical research as a care option, and how closing that gap could improve outcomes and lower long-term costs.
In today’s ACT Brief, we examine why anti-kickback guidance and EHR-integrated trial matching must work together in community settings, why real-time trials depend on mature risk-based quality management, and how pharma is applying digital clones to predict outcomes.
The FDA’s RTCT initiative transmits predefined, clinically meaningful signals to regulators during active trials, so its value depends entirely on the maturity of sponsors’ upstream RBQM signal intelligence, KRIs, QTLs, and root-cause context, rather than on data speed.
In this video interview, Kent Thoelke, CEO of Paradigm Health, outlines why anti-kickback guidance and modern EHR-integrated trial matching technology must work in tandem to reach representative patient populations at the community level.
Trending on Applied Clinical Trials Online
1
Building AI Assistants Clinical Trial Teams Can Trust: Q&A with E.K. Koh, Suvoda
2
What Needs to Happen Beyond the Clinical Trial Modernization Act
3
Walmart and Care Access Plan Three More Clinical Trial Centers in Michigan, Nevada, and Texas
4
Real-Time Continuous Trials Through the Lens of Risk-Based Quality Management: Why RBQM Is the Infrastructure RTCT Cannot Exist Without
5