Clinical trial technology isn’t the barrier to interoperability; the economics are. Two industry leaders explain why nothing forces systems to connect.
- What AI Can't Fix In Decentralized Clinical Trial Data
- Decentralized Trials Promised Less Burden. Did They Deliver?
- Wireless Connectivity Is A Data Integrity Issue, Not IT
- Why Clinical AI Validation Needs Portability Testing Beyond A Single Accuracy Score
- The Synchronization Problem Clinical Research Isn't Watching
- Why Ophthalmology Trials Are Clinical Research's Toughest Tech Test
- Why Trustworthy Clinical Trial Data Starts As Analog, Not Digital
- Why Clinical Trial Coordinators Are Still The Human API
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
-
Enhancing The Accessibility And Affordability Of Healthcare
The March/April 2025 issue of Value & Outcomes Spotlight explores the urgent global health crisis of accessibility and affordability, highlighting the nearly 2 billion individuals lacking essential medicines.
-
How Protocol Design Decisions Shape Recruitment, Data Quality & Study Startup
Protocol design directly affects recruitment, data quality, and startup speed. Clear workflows, streamlined criteria, and early alignment reduce delays, amendments, and improve reliable study execution.
-
The Ultimate Clinical Trial Tracking Checklist
Ensure 360° clinical trial management support with a CTMS that aggregates and reports on these fields faster and more efficiently than spreadsheet trackers and legacy clinical trial data systems.
-
Building A Competitive Advantage With EDC
Discover how an EDC platform that was flexible and easy to use was able to help a CRO build the most attractive offerings possible for their customers.
-
Revolutionizing Clinical Trial Feasibility
Transform feasibility into a continuous, data-driven process, that helps sponsors streamline trial planning, maintain timelines, and deliver therapies to patients faster.
-
Automated Trial Monitoring Workflows Make A Lean Team More Efficient
A pharmaceutical therapy developer was looking to automate reports, confirmation letters, and follow-up letters. See what happened when they adopted a cloud-based solution for end-to-end trial management.
-
Proven Process For Managing Clinical Trial Changes, Data Migrations
Explore how the Imperial College London was able to complete a successful migration of 14 ongoing studies, involving over 1,700 patients and 150,000+ forms, within a 16-month timeframe.
-
Investigator Databank And DQS: Welcoming New Consortium Members
Join the Data Query System consortium to access a comprehensive, collaborative platform that enhances clinical trial feasibility, site selection, and investigator engagement.
-
Running Your Trial In Your eTMF
Discover how people are part of the electronic Trial Master File trifecta and what to consider when implementing an eTMF in clinical studies.
RECENT NEWSLETTERS
- 08.27.26 -- Patient Data Breaks Down When Trial Systems Miss Reality
- 08.20.26 -- Clinical AI Validation, Trial Handoffs, And Smarter Study Builds
- 08.13.26 -- AI Urgency, Site-Sponsor Gaps, And Data That Saves Lives
- 08.06.26 -- Clinical Trial Tech: AI, Data Quality, And Faster Study Build
- 08.01.26 -- July's Top Clinical Trial Tech Reads