Clinical Technologies

INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

Fear Isn't A Strategy: Rethinking AI In Clinical Trials
As AI restrictions rise, needed oversight is slowing trials. This piece explores how delays hurt patients and how sites and sponsors can modernize without sacrificing regulatory trust.
Redefining ALS Clinical Endpoints: Unlocking The Potential Of DHT
ALS drug development struggles with trial failures due to complex biology and endpoints. Digital health offers sensitive, objective measures to improve clinical trial outcomes collaboratively.
Driving ROI: A Real-Time Clinical Trial Oversight Solution
Sample errors, delays, and query overload drain clinical trial budgets. Learn how real-time data capture can shorten timelines and protect data quality.
How Pharmaceutical Manufacturers Can Take Control Of Their Supply Chain
In an increasingly competitive and regulated landscape, the right ERP system is no longer optional—it’s essential to reclaim control and drive growth in pharmaceutical manufacturing.

Accelerating A Schizophrenia Trial While Ensuring Quality
7/31/2026

Tight timelines and rising patient targets don't have to derail a trial. See how speed and data quality can work together from enrollment to database lock.
The Patient Experience Paradox: eCOA Strategy Overhaul
3/25/2026

European regulatory shifts now require the systematic integration of patient data. Success depends on aligning clinical and market access strategies through rigorous evidence generation.
The New Reality Of Clinical Trial Payment Workflows
7/13/2026

Outdated trial payment processes create costly delays. Explore strategies for centralized financial management, participant reimbursement, and improved study execution.
RTSM Red Flags in Clinical Trials: When It's Time To Switch IRT/RTSM Software
3/25/2026

This clip outlines the key warning signs that an RTSM is no longer meeting study needs and offers practical guidance for recognizing risk early and making decisions that support trial continuity.
What Is Healthcare Data Interoperability And Why Does It Matter For Clinical Research?
1/28/2025

Explore how healthcare data interoperability can transform patient outcomes, streamline clinical research, and enhance efficiencies while addressing key challenges and global initiatives.

Unlock The Hidden Value Of Your Data

The predictive strength of Study Feasibility’s algorithms is optimized when fed with a sponsor’s own data. Explore how these machine learning models are powered by trial operational metrics, site and investigator performance/quality data, activation timelines, real world data, and more.
Clinical Trial Management System (CTMS) Interface

With real-time updates for protocols, participant records, enrollments, and contacts, this CTMS Interface reduces manual entry, improves compliance, and minimizes data errors.
Predictive Spend Modeling

Give us the opportunity to compete with your current set-up. We love a good challenge.
IQVIA eArchive

Whether you’re archiving a TMF delivered by your CRO partner, looking to move out of noncompliant file systems, or interested in reducing the high costs of archiving in your active eTMF, IQVIA eArchive is the rapid deployment solution for you.
Benefit For An AI-Automated Extraction Model

Modernize your research by replacing manual data entry with automated extraction. Ensure regulatory-grade evidence and full data traceability for faster, more reliable results.