The main market opportunities lie in developing comprehensive training and support services for implementing and integrating clinical quality management systems (CQMS) that align with evolving ...

In the rapidly evolving landscape of healthcare, the role of Clinical Data Management (CDM) is gaining prominence as a crucial driver of innovation and progress. This blog explores the future of ...

AI and ML are transforming clinical trials by enhancing efficiency, reducing costs, and improving outcomes. Opportunities include understanding AI/ML fundamentals, optimizing trials, predicting ...

Explore our campus, meet lecturers and current students, and learn more about what it's like to study at Manchester. This Clinical Data Science course was co-created with end users and industry ...

Clinical data management (CDM) plays a crucial role in the Clinical trials industry, ensuring the accuracy, completeness, and security of patient data. However, Clinical data management systems face ...

Recent research found a correlation between the upfront time to build and release a clinical database and its impact on downstream data management processes in conducting and completing trials.

In the dynamic environment of biotechnology trials, the significance of Clinical Data Management systems (CDMs) cannot be overstated. As we navigate the complexities of these trials and the pivotal ...

Healthcare providers receive data from many disparate sources: hospitals, doctors’ offices, labs and lab machines, medical devices, pharmacies, and more. Investment in the correct infrastructure to ...