INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES
-
Medical Device Clinical Trials: Key Considerations For Sponsors And CROs
Medical device trials must align risk class, regulations, and study design. Strong oversight, data, and proactive safety planning support reliable evidence and market approval.
-
Unlocking The Promise of Digital Health Technologies In Clinical Trials
Discover the scientific, regulatory, and operational hurdles slowing digital health in clinical trials — and how design, guidance, and validation improvements are moving adoption ahead.
-
Bridging The Gap: EHR To EDC Integration In Clinical Trials
This distinguished panel of industry experts shares an engaging and honest discussion about the current state and future potential of EHR-to-EDC integration.
-
Outlook 2025: Key Trends & Insights
Dive into the key trends and challenges shaping the year ahead, from geopolitical uncertainties to cutting-edge innovation in AI, oncology, and weight-loss therapies.
-
Lack Of IRT/RTSM System Reusability Surprises Every Clinical Trial Sponsor2/26/2026
Stop re-learning your IRT system with every new trial. Uncover why "standard" features often hide custom complexities that slow down UAT and clinical operations.
-
Navigating The Post-Capture Era Of Clinical Trials2/2/2026
Liberating data through structured workflow management is the key to evolving clinical trials from a series of administrative hurdles into a high-speed engine for medical innovation.
-
2025 Big Ideas In Clinical Trials: A Conversation7/30/2025
Clinical trials are being redefined by three key forces: true patient-centricity, a rising focus on corporate responsibility and sustainability, and the push for greater efficiency through innovative designs.
-
Data Quality And Monitoring In Clinical Trials: Reducing Errors And Ensuring Compliance7/5/2026
Clear data ownership and tailored reporting tools reduce errors and manual reconciliation, keeping trial data accurate and audit-ready.
-
Redefining ALS Clinical Endpoints: Unlocking The Potential Of DHT10/20/2025
ALS drug development struggles with trial failures due to complex biology and endpoints. Digital health offers sensitive, objective measures to improve clinical trial outcomes collaboratively.
CLINICAL TRIAL TECHNOLOGY SOLUTIONS
-
What can 22,000 people with an AI-mindset accomplish?
Speed without shortcuts
AI in clinical development at Parexel enables our teams to surface predictive insights at every stage, reducing protocol risk, study delays, and costly trial amendments.
Parexel's approach to AI in clinical development is built on the Precision Pathway, a strategic operating model that embeds AI across the full trial lifecycle. AI empowers our teams at critical decision points to:
- Simplify complex tasks to accelerate timelines: AI capabilities are delivering up to 50% cycle time reductions in IND submission generation.
- Apply insights with agility to enable better decision-making
- Enhance data handling to drive first-time quality through content generation and workflow automation
-
Trying to archive a TMF delivered by a CRO? Need out of non-compliant file systems? Interested in reducing archival costs? Discover how IQVIA eArchive could be the solution for these issues and more.
-
Learn how to adopt artificial intelligence in practical, measurable ways, from protocol feasibility and cohort modeling to clinical trial disclosure and transparency.
-
Explore an imaging library that empowers organizations to extract deeper insights, reduce inefficiencies, and drive innovation across the clinical research landscape.
-
Neither traditional nor hybrid clinical trials can operate on rigid EDC systems.
They require flexible data collection systems that support protocol amendments without downtime and accept mobile data without hassle. As a cloud-native solution, TrialKit bends to accommodate mid-study changes. And as the first full-featured EDC platform available as a native mobile app, TrialKit flexes to meet the demands of traditional, hybrid/decentralized, and completely remote clinical trials.
Give your team the freedom to build, deploy, and manage their studies, their way—weeks faster than with rigid EDCs and for a fraction of the cost of the major players.