INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES
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![GettyImages-2157709105 data, AI]( "AI In Clinical Data Management: How Does It Work?")
AI In Clinical Data Management: How Does It Work?AI is revolutionizing clinical data management by automating medical coding, data reconciliation, and audit trail reviews, significantly enhancing efficiency and accuracy.
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![GettyImages-1295613094 patient at home]( "Meeting Your Clinical Trial Enrollment Target Without Delays")
Meeting Your Clinical Trial Enrollment Target Without DelaysBridge the enrollment gap by blending site-based tactics with global direct-to-patient outreach. Use digital screening and EMR intelligence to ensure faster, more predictable paths to randomization.
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![Artificial intelligence-macine learning-GettyImages-1368016158]( "How AI Is Reshaping Trial Design, Execution, And Disclosure")
How AI Is Reshaping Trial Design, Execution, And DisclosureAI has quietly embedded itself into the operational heart of clinical development, where it is accelerating decisions, reducing manual burden, and improving outcomes.
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![GettyImages-1125882055 DCT]( "Deriving Reliable Clinical Outcome Scores From Continuous DHT Data")
Deriving Reliable Clinical Outcome Scores From Continuous DHT DataDHT-derived endpoints, especially percentile-based metrics, hold promise for robust, scalable measurement in clinical trials—provided they're chosen statistically and with adherence in mind.
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Endpoint Clinical RTSM: Getting The Job Done12/5/2025
Explore how a Job-to-be-Done (JTBD)-focused RTSM approach reduces delays, optimizes costs, and accelerates trial success through predictive intelligence and streamlined global workflows.
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2026 Life Sciences Trends5/15/2026
Life sciences leaders in 2026 need more than breakthrough science. Build operational clarity, scalable systems, and investor-ready visibility to support growth, funding, and execution.
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The Future Of Patient Recruitment: Leveraging RWD For Precision4/25/2025
To combat the costly challenges of patient recruitment and keep trials on track, sponsors can leverage real-world data.
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How Viracta Therapeutics Transformed Operations With NetSuite10/8/2024
Explore how a virtual biotech company overcame their challenges with QuickBooks software by embracing a new system with automated processes.
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AI-Driven Digital Trial Tech Is A "Monumental Breakthrough"11/21/2024
Learn how AI solves repetitive, time-intensive manual tasks to decrease time to First Patient In (FPI) for digital and decentralized clinical trials, dramatically accelerating study startup.
CLINICAL TRIAL TECHNOLOGY SOLUTIONS
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![GettyImages-1311977468 site payments]( "Greenphire Patient Payments")
esigned for sponsors, CROs, sites, and patients, this modern solution delivers real-time data that supports crucial decisions during investigator grant budgeting, randomization, patient payments, and endpoint collection.
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![gettyimages-2200665779-170667a-scientists-tablet-talking]( "Why Customers Are Switching To Medidata CTMS And eTMF")
Discover a CTMS that leads the market with top rankings and offers unmatched integration, automation, and user experience for faster, more efficient clinical trial execution.
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![Cells-cancer-cells-iStock-1139782423]( "IRT And eClinical Technology Considerations For Cell And Gene Therapy")
Don't try to fit cell and gene therapy studies – or any kind of study – into pre-defined functionality. The Cenduit IRT and Quantum Interactive™ agile design platforms and reporting tools support clients’ most complex requirements.
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![Data Management GettyImages-1172642339]( "Real World Data Solutions")
Leverage Citeline RWD Solutions to enhance feasibility assessments, select optimal trial sites from the start and, when necessary, support trial rescue efforts.
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![Getty_1358050002_meter-data-smart-metering]( "Capture Cleaner, Higher-Quality Trial Data With Integrated eSource")
Streamline clinical trial data capture through eSource workflows that support both Direct Data Capture and automated EHR-to-EDC data transfer across Paradigm Health’s research-ready provider network.
Research teams can capture study data within the EHR or through a standalone application, enabling consistent workflows across sites while reducing manual transcription. Sponsors gain faster access to cleaner trial data with fewer queries and more efficient monitoring.
