Innovators in science and technology are developing precision medicine to treat and prevent disease on an individual basis. Researchers working in precision medicine depend on access to massive amounts of structured and unstructured health information—in other words, big data. Patient electronic health records are an ideal source of structured information, such as diagnoses, treatments performed, laboratory results, prescription drugs administered, geographic location of patients, and, whenever available, the patient’s genomic information. And networked medical devices, known as the Internet of Medical Things (IoMT),1 generate vast stores of personal health information. This article considers how medical device data from the IoMT might be integrated into electronic health records, both as an aid to providers in treating patients and a resource for precision medicine researchers.
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