Cerner, Duke create Learning Health Network to automate data for research

Cerner, in collaboration with Duke Clinical Research Institute, will launch the Cerner Learning Health Network, which aims to automate data collection from multiple sources, including electronic health records.

WHY IT MATTERS Cerner and Duke say the initiative will enable clinicians to more easily and efficiently gain health insights and guide care. In addition, it aims to give medical researchers faster and easier access to data that can help them innovate new approaches to health.

The pilot of Cerner Learning Health Networks seeks to improve clinical research registries. DCRI’s Learning Registry will make use of Cerner technology to explore and assess proven therapies for chronic cardiovascular disease.

It will analyze de-identified patient data from the University of Missouri Health Care and Ascension Seton, in partnership with Dell Medical School at The University of Texas at Austin, with the goal of finding the most effective treatment options, officials say.

The hope is for Cerner Learning Health Network to have significant applications in life sciences, pharmaceuticals and healthcare at large, automating and streamlining health data for clinical research.

Cerner says its clients will be able to use its HealtheDataLab – which builds upon its HealtheIntent population health technology – with the network to aggregate de-identified patient data from both Cerner and non-Cerner EHRs.