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ACT Brief: Embedding AI Across Operations, Faster Trial Decisions, and Voceryq Approval

From Signal to Action: Why Faster Trial Data Isn’t Producing Faster Decisions

Embedding AI Across the Clinical Operating Model: Q&A with Rajneesh Patil, Syneos Health

ACT Brief: Community Research Policy Needs, Walmart Trial Centers, and Psoriatic Arthritis Approval

Walmart and Care Access Plan Three More Clinical Trial Centers in Michigan, Nevada, and Texas

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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lack access to research as a care option, what makes AI assistants trustworthy in regulated trials, and how FDA draft guidance could let gene editing therapies cover patient-specific variants.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.

In today’s ACT Brief, we examine how legacy workflows pull community clinics away from patient care, why medical writing capacity depends on training rather than technology, and how an antiviral aims to prevent COVID-19 after exposure

Medical writing capacity pressure is fundamentally a talent development problem, not a technology problem, since hybrid resourcing and AI cannot substitute for the experienced judgment needed to review AI output and mentor the next generation of writers.

In this video interview, Kent Thoelke, CEO of Paradigm Health, describes how manual eligibility screening and swivel-chair data entry force community sites to trade billable patient care for research, and why that burden is so hard to absorb.

In today’s ACT Brief, we examine how cost barriers and site infrastructure limit participation in community trials, why endpoints should reflect what patients actually experience, and how the FDA expanded a prostate cancer combination to an earlier treatment setting.

In this video interview, Kent Thoelke, CEO of Paradigm Health, explains why patient cost barriers and site infrastructure challenges must be solved together to close the participation gap in community and rural clinical trials.

Patients don’t experience primary endpoints, so trials that stop at biomarkers and rigid rating scales risk declaring success while leaving daily burden untouched, and digital tools only deliver meaningful evidence when they are co-designed with patients and deployed with restraint.

Aardvark released exploratory data from its stopped Phase 3 HERO trial in Prader-Willi syndrome after FDA lifted the hold, and plans a redesigned Phase 3.

Clinical trials capture data faster than ever, but the real bottleneck is the distance between data capture and a decision teams can trust.























