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Decentralized trials and/or new trial designs are causing a rapid increase in the variety of data sources used in trials. With new kinds of data, biopharma companies need software that overcomes challenges from data analysis to product quality. Learn how to centralize analysis and communication for clinical development teams.
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Medical monitoring is an essential part of the clinical trial process. Explore the reasoning behind the physician monitors’ reluctance to adopt solutions, and what technology needs to offer to convince monitors their work can be more efficient — quickly detecting safety signals and speeding time to submission.
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To improve clinical trial data management and reduce manual labor and delays, companies should adhere to the FAIR principles that data are findable, accessible, interoperable, and reusable. When optimized, FAIR empowers companies to spend less time managing data and more time understanding and applying it.
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How can we manage clinical data, save effort and money, and maximize data value to guide our clinical development programs? Discover how embracing fast and flexible clinical analytics can help you address clinical questions and provide real-time insights into data issues as they arise during development.
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