DECENTRALIZED TRIAL (DCT) TECHNOLOGY INSIGHTS
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Digital Tools Are Failing Patients: 3 Ways Clinical Supply Can Protect Data Integrity
Getting drugs and devices to the doorstep is only half the battle. When digital connections fail, trials fail. Why the digital last mile needs clinical supply ownership, human-centered design, and tech support with a bedside manner.
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From Supercomputers To The Cloud: How Pharma's R&D Infrastructure Transformation Impacts Clinical Trials
Discover how pharma R&D is moving from traditional compute clusters to AI-driven HPC ecosystems and hybrid architectures that combine on-premise supercomputing with elastic cloud infrastructure.
DCT TECHNOLOGY RESOURCES
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Sites are frequently overwhelmed with the sheer number of technologies they must work with to conduct a clinical trial, and this aggregation platform can streamline trial management.
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Embrace the digital revolution in clinical research with advanced eClinical platforms that expand reach, enhance efficiency, and streamline processes, revolutionizing your trials and work-life balance.
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With improved access to affordable digital technologies and a regulatory emphasis on diversity in patient recruitment, check out several highlights of the most notable projections in 2023.
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Software vendors often forget to think about the needs of LARs, even though they play a vital role in clinical trials. Explore three ways eConsent can help LARs complete the informed consent process.
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Many of the decisions made by a product team start as suggestions from a user community of clinical professionals. While planning the development of a recently launched CTMS, a focus group was led where clinical professionals weighed in on potential improvements for a new system.
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The shift towards decentralized and hybrid trials underscores the significance of EDC in expanding geographic reach, fostering diversity in participant populations, and reduce participant burden.
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Data integrity remains essential for compliance and patient safety. Learn strategies to maintain accuracy and reliability as clinical research evolves toward more connected, technology-driven models.