A Columbia research design instructor on the mistakes trained analysts still make, and the habit that fixes most of them.
- Why Younger Clinical Researchers Are More Wary Of AI Than Their Elders
- Your EDC Query Count Is Trying To Tell You Something
- Inside The Rush To Accelerated Approval: A Consultant's View
- Why Virtua Health's AI Committee Gives IT The Review, Not The Vote
- Building Effective, Retrospective Decision-Grade Disease Registries
- To Pick The Right Medical LLM, First Assess Your Readiness
- Clinical Trial Tech Fails On Systems, Not Software
- Inside A Sponsor-Site Relationship That Actually Worked
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
-
Frequently Asked Questions About IRMS MAX
Improve your information access and capabilities with the definitive gold standard of medical information systems.
-
AI In Clinical Trials: Key Insights From Industry Experts
Find out what experts from the FDA are saying about AI’s ability to demonstrably impact three critical success metrics in clinical trials.
-
Maximizing Site Performance: The Hidden Benefits Of Unified eConsent And EDC
Disconnected systems for eConsent and EDC create inefficiencies that burden clinical trial teams, but modern integrated platform solutions are streamlining operations.
-
Ensuring Compliance When Using Wearables In Clinical Trials
As wearable technology takes on a central role in clinical research, explore how its benefits can be maximized while navigating the increasing complexity of regulatory compliance.
-
Unified Platform Supports Rapid Implementation Of Rescue Study
Explore how these integrated solutions helped an emerging biopharma to implement a plan for study build and migration with minimal disruption to sites.
-
How Flatiron Supported The Beat AML® Master Clinical Trial
Find out how the Leukemia and Lymphoma Society's partnership with Flatiron Health helped improve the Beat AML® Master Clinical Trial's data management and accelerate trial timelines.
-
Expedite Drug Development With An Integrated CDMO-CRO Model
From optimizing first-in-human strategies to leveraging AI-enabled digital architectures, the integrated CDMO-CRO services model reduces risk and maximizes program value.
-
What Is Ontology? Learn About The Data Layer That Makes Agentic AI Work
Get an overview of ontology, the "semantic translator" that determines whether your AI investments actually compound or stay forever siloed.
-
Planning Ahead: 5 Best Practices For The Integration Of Wearables
Prioritize the considerations outlined by the author to plan effectively, optimize wearable data utility, and significantly enhance your trial outcomes.
-
Electronic Trial Master File: The Metrics
Here, the author defines several key ideas surrounding data, reports, and insights, honing in on one that is uniquely electronic and only possible because of the move to eTMF — Metrics!
- Research Design Mistakes Even Experienced Analysts Still Make
- The Infrastructure Behind Virtua Health's Push Toward 1.5 Million Studies A Year
- A Framework For Deploying AI In Clinical Trials Without The Hype
- Why Younger Clinical Researchers Are More Wary Of AI Than Their Elders
- Inside The Rush To Accelerated Approval: A Consultant's View
RECENT NEWSLETTERS
- 10.15.26 -- AI, Site Burden, And Vendor Risks Are Testing Trials
- 10.08.26 -- AI, RTSM, And Trial Systems Are Still Breaking Down
- 10.03.26 -- Best Of September: AI, Wearables, And Trial Workflow Gaps
- 10.01.26 -- AI, Data Integrity, And Wireless Gaps Are Reshaping Trials
- 09.24.26 -- AI, Wearables, And CRA Workflows Are Exposing Trial Gaps