Trends in Clinical Data Management Platforms

Unlock the Top 5 Trends Revolutionizing Clinical Data Management Platforms!

Advances in science and technology have led researchers to approach clinical trials in new ways. Clinical data management—and its technology—are undergoing their own transformations to keep up with the demands of complex, data-intensive clinical trials.

In addition to traditional randomized controlled clinical trials, scientists are using more flexible, “adaptive” models that allow for mid-study modifications. Sponsors are also incorporating real-world data more frequently and experimenting with decentralized clinical trials (DCTs) to better accommodate patient preferences. Both adaptive and DCT models are useful for evaluating the safety and efficacy of cell and gene therapies, personalized therapies, and other biologics effectively and efficiently.

To manage the increased data volume and variety produced by these complex clinical trials, data management has had to rethink both its approach and its structure, while its platforms have had to upgrade capabilities.

Download the full article to stay ahead of the curve in clinical data management!

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    Trends in Clinical Data Management Platforms

    Unlock the Top 5 Trends Revolutionizing Clinical Data Management Platforms!

    Advances in science and technology have led researchers to approach clinical trials in new ways. Clinical data management—and its technology—are undergoing their own transformations to keep up with the demands of complex, data-intensive clinical trials.

    In addition to traditional randomized controlled clinical trials, scientists are using more flexible, “adaptive” models that allow for mid-study modifications. Sponsors are also incorporating real-world data more frequently and experimenting with decentralized clinical trials (DCTs) to better accommodate patient preferences. Both adaptive and DCT models are useful for evaluating the safety and efficacy of cell and gene therapies, personalized therapies, and other biologics effectively and efficiently.

    To manage the increased data volume and variety produced by these complex clinical trials, data management has had to rethink both its approach and its structure, while its platforms have had to upgrade capabilities.

    Download the full article to stay ahead of the curve in clinical data management!

    Get in touch

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