Abstract
We aim to test the hypothesis that in patients with suspected infectious diseases, continuous physiological monitoring of temperature, heart rate, respiratory rate, oxygen saturations and movement will provide enhanced clinical decision support to guide empirical antibiotic prescribing in acute medicine. We will evaluate the accuracy of existing products, establish the technology to capture the data, identify data driven models associated with different clinical outcomes and test the hypothesis that these models significantly change antibiotic prescribing decisions in a study of patient derived data.
References
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