Chinese researchers are using big data to help identify trauma patients who could experience potential adverse health events in the emergency department through the aid of a clinical decision support system. It was developed using a novel real-world evidence mining and evidence-based inference method, driven by improved information storage and electronic medical records.

The researchers, from Peking University People’s Hospital and National Institute of Health Data Science at Peking University, published their results online on February 7 in IEEE Transactions on Systems, Man, and Cybernetics: Systems, a journal of the Institute of Electrical and Electronics Engineers.

Clinical decision support systems have been in use for nearly 50 years, but this is the first one developed using evidential reasoning in an emergency department setting.

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