A three-year ophthalmology coordinator on imaging integration, independent reading centers, and the one staffing problem no scheduling software has solved yet.
- The Cost And ROI Of Agentic AI In Clinical Trials: What Sponsors And CROs Need To Know
- Designing eCOA Technology Patients Can Actually Use
- Clinical Trial Technology Doesn't Fail – It Fails At The Handoff
- Why Life Science Tech Pilots Fail After The Demo — And How To Avoid It
- Inside Versiti's Data Strategy: Building AI-Ready Research Systems
- How Versiti Turns Data Into A Lifeline For Rare Blood Patients
- What Is Shadow AI, And How Does It Impact Clinical Trial Tech?
- Will AI And Agile Project Management Help Advance RBM?
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
-
Streamlined Site Study Start-Up
Explore the critical process of Study Start-Up (SSU) in clinical trials, with an emphasis on the collaborative efforts of sponsors and research sites to enhance efficiency and reduce timelines.
-
With The Emergence Of DCTs, Do We Really Need A CTMS?
As decentralized trial designs continue to grow in popularity, do sponsors and CROs really need a clinical trial management system? Explore whether CTMS is necessary with the emergence of DCTs.
-
Can Your Clinical Trial Design Handle Mid-Study Changes?
Mid-study changes are frequently inevitable, but it’s possible to reduce the downtime they create with strategic planning and technology. See how to plan for mid-study changes that mitigate downtime.
-
Breaking Free From Process Paralysis In Clinical Trials
Explore the implementation of CRIO’s eSource solution by a leading pharmaceutical company to overcome process paralysis in clinical research.
-
What Is ePRO?
Real-time patient reporting improves data quality and trial insight. Digital tools cut missing data, enable remote participation, and clarify how treatments affect daily life.
-
Unlock Historical Data To Enrich RBM Insights
The data landscape for clinical operations is complex and comprised of many disparate sources, so a data agnostic solution is essential for full access and visibility into the data. Without an intuitive visual analytics tool, it becomes impossible to navigate data hierarchies and gain meaningful insights into the data.
-
You Don't Have To Digitize Everything, You Just Have To Start
Feeling left behind by the sudden digitization of clinical trials? Decentralized clinical trials can be adapted to best serve the patient population, condition, or therapy you’re investigating.
-
Increasing Efficiency And Reducing Drug Waste
Discover how streamlined clinical supply chain management helped accelerate study timelines, reduce costs, and support global treatment delivery through a strategic technology partnership.
-
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.
-
Focusing On Patient-Reported Outcome Measures And eConsent
Learn how digital solutions can contribute to a more participant-centered approach and potentially enhance the regulatory utility of PRO data while improving the overall quality and efficiency of oncology trials.
- 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
- Designing eCOA Technology Patients Can Actually Use
- Clinical Trial Technology Doesn't Fail – It Fails At The Handoff
RECENT NEWSLETTERS
- 08.01.26 -- July's Top Clinical Trial Tech Reads
- 07.30.26 -- Clinical Tech Leadership: Site Burden, AI ROI, And Smarter Trial Tech
- 07.23.26 -- AI, Data Costs, And The Real Barriers To Trial Execution
- 07.16.26 -- Why Clinical Trial Sites Are Drowning In Tech Chaos
- 07.09.26 -- AI Governance, Real-Time Trials, And Hidden Risks to Watch