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
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The AI Revolution In Clinical Trials
AI is reshaping clinical trials by accelerating patient recruitment, optimizing protocol design, and improving data quality—driving faster, more efficient, and more inclusive research outcomes.
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Maximizing Clinical Data Insights With Advanced Analytics Platforms
To achieve drug approval, trials must collect, combine, and analyze diverse data sets that support operational, safety review, risk management, and other analyses crucial to development.
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Key CTMS Capabilities To Improve Financial Management
In clinical research, utilizing your clinical trial management system (CTMS) to its fullest potential can allow for more streamlined financial management, visit management, compliance, patient recruitment, and more. This blog outlines what you should look for in a CTMS to maximize your organization’s return on investment (ROI).
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Hearing The Patient Voice Through Technology & eCOA
Discover the benefits of gathering patient data through electronic clinical outcome assessments and electronic patient-reported outcomes over paper versions.
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Navigating The Complexities Of Publication Planning
In the dynamic landscape of the life sciences industry, Medical Affairs (MA) teams and accessible digital platforms are pivotal in navigating the complexities of medical publication planning.
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Accelerating Clinical Data Review With Traceable Workflows
Clinical data review needs centralized access and traceable workflows. Leveraging AI-automation and real-time collaboration drives faster, better-informed decisions and reduced compliance risk.
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CRO Uses CRIO eSource To Double Monitoring Productivity
Examine the transformative impact of eSource technology on monitoring productivity during a global Phase 3 trial conducted by a Contract Research Organization (CRO) amid the COVID-19 pandemic.
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Hope In The Dark: Value In Alzheimer's Disease Research And Treatment
The May/June 2025 issue of Value & Outcomes Spotlight explores the health economics and outcomes research (HEOR) and its contribution to research and treatment of Alzheimer’s disease.
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Position Your DHT Innovation For Success
Explore three factors that significantly influence the success of clinical trials incorporating digital health technology.
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Aligning Global Standards For ICH E6(R3) And Artificial Intelligence
Global standards and AI are transforming clinical research. Learn why mastering ICH E6(R3) and risk-based compliance is critical for data integrity and future success.
- 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
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- 07.09.26 -- AI Governance, Real-Time Trials, And Hidden Risks to Watch
- 07.03.26 -- Best Of June: AI, Data, And What's Fixing Trial Execution