In today's ACT Brief, we examine AI's role as trial design advisor with human leadership, how to govern autonomous agents in regulated operations, and real-world outcomes from switching to oral weight-loss therapy.
|Articles|October 28, 2015
DZS Software Solutions Releases Version 2.3 ClinPlus CTMS
Advertisement
DZS Software Solutions announced the release of
Version 2.3 adds the ability to support read-only licenses and every ClinPlus CTMS client will receive five at no additional cost. Other areas of improvements include:
- Improved system navigation and administration
- Enhanced ad-hoc reporting features with additional metrics and standard reports
- Better manageability of global contact and institution databases
- More flexible control over role-based security and password recovery options
- Additional site reimbursement payment approval triggers (procedures, monitoring status, other)
- Improved site visit scheduling and an enhanced SVR authoring and review process
- Enhancements to eTMF features
Advertisement
Related to this article
AI agents in clinical operations acquire broader autonomous capability through expanded permissions, tools, memory, and delegated authority, requiring governance focused on whether effective capability has shifted outside approved boundaries rather than whether software has changed.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, makes the case for AI as a sophisticated strategic advisor in trial design while arguing that humans must remain in the lead—especially when factors the model can't fully account for are at stake.
In today's ACT Brief, we examine how data drives honest enrollment assumptions, why RWE infrastructure lags ambition, and the disconnect between FDA rulemaking and enforcement on compounded therapies.
RWE is finding a role earlier in drug development than ever before, but the data quality, integration, and organizational alignment required to make it regulatory-grade are still catching up to the ambition.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, explains why combining analog trial performance data with real-world patient data and site-level recruitment history gives sponsors a far more honest picture of whether their enrollment assumptions are actually achievable.
In today's ACT Brief, we examine what AI simulations surface in trial design, how RBQM delivers measurable financial returns, and three new FDA-approved treatments across hair loss, movement disorder, and bone disease.
In this Q&A, Sylviane de Viron of CluePoints and Abigail Dirks, MS, of Tufts CSDD discuss the findings of a collaborative study quantifying the financial value of RBQM, why time savings emerged as the largest driver, and what sponsors struggling to justify adoption now have that they didn't before.
Advertisement
Advertisement
Trending on Applied Clinical Trials Online
1
Where AI Leads in Trial Design—and Where Humans Still Need To
2
The Control Plane for Agentic Clinical Operations: Governing Autonomous Digital Actors in Regulated Trials
3
Real-World Evidence Is Moving Upstream: Is the Data Infrastructure Ready?
4
The Data Inputs That Matter Most When Pressure-Testing a Protocol's Feasibility
5