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The seamless and secure sharing of electronic health data across systems is essential for improving patient outcomes, driving clinical research, and enhancing healthcare efficiencies. Explore healthcare data interoperability and its role in reducing redundant processes, enabling real-time data sharing, and supporting informed decision-making.
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Rezolute, a small biotech company, sought to become the sponsor of choice for sites and patients in congenital hyperinsulinism (CHI) clinical trials. With a single URL and unified login, the Medidata Platform allowed study teams to gain increased visibility into patient-reported data, mitigating compliance issues early and enhancing study transparency.
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A global CRO sought to enhance efficiency and scalability in medical imaging for clinical trials, responding to increasing sponsor demand for image-based biomarkers. Facing challenges in cycle times, quality control, and visibility, the CRO adopted Rave Imaging to improve its EDC system and create a seamless digital workflow.
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Research shows that clinical site investigators often differ significantly in their interpretation of clinical events, especially when clinical endpoints are subjective or complex to assess. Read how cloud platforms can help streamline clinical endpoint adjudication as well as play a role in improving costs, data quality, and speed to market.
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In clinical trials, meticulous documentation of symptoms, procedures, and medication descriptions is imperative. Learn how the algorithm behind Medidata's Rave Coder medical coding solution, a next-generation medical coding solution, revolutionizes medical coding in clinical trials, offering unparalleled efficiency and precision.
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Innovation In Clinical Data Management
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Medidata Rave Data Management tackles the intricate challenges of clinical data management for sites, sponsors, and CROs. This solution facilitates seamless interoperability across various data capture methods. This holistic strategy ensures efficient oversight and centralized review, enabling the effective management of even the most complex clinical trials.
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