Research and life science organizations need clinical data to construct research questions, identify clinical patterns and validate algorithms under real-world conditions. Often, these data are complex, and access to large, de-identified clinical data sets can be difficult to procure.
Cerner Real-World DataTM is a national, de-identified, person-centric data set solution that enables researchers to leverage longitudinal record data from contributing organizations. With Real-World Data, you can access volumes of de-identified information for retrospective analysis and post-market surveillance to help support health care outcomes.
Leveraging Real-World Data, your organization can:
• Identify opportunities to help improve patient outcomes
• Query data to meet your research needs
• Uncover new areas for clinical research
• Access real-world data from nationwide contributors
• Analyze data in a flexible, cloud-based environment
An analysis of digital health records from thousands of COVID-19 patients admitted to hospitals around the country has led to the development of technology to predict the risk of death for those with COVID.
Research and life science organizations need clinical data to construct research questions, identify clinical patterns and validate algorithms under real-world conditions.
The COVID-19 pandemic is unlike anything the health care industry has seen in our lifetime. As organizations navigate these unprecedented times, data and analytics can provide clarity and support for clinical and operational decision-making.