Deep computing applications in medical device systems

Abstract

Deep computing techniques are employed to mine statistical data bases and patient specific data files contributed from multiple sources, including implantable medical devices (IMDs) and external medical devices and other sources, to formulate patient-specific monitoring, diagnostic, therapeutic and educational information and to deliver the patient-specific diagnostic, therapeutic and educational information to the patient and/or patient health care provider. The present invention advantageously provides patient-specific information for IMD bearing patients that draws upon worldwide expertise and knowledge of IMDs of the type implanted, the patient's disease etiology, the drugs prescribed to the patient, the knowledge of experts in the field, and the optimal modes of operating the IMD to monitor physiologic conditions or apply therapies as reported by experts and medical device manufacturers. Patient data is supplied to a patient file at a centralized information database, the patient data including IMD developed patient data. Statistical data from public domain databases and governmental and international health agency databases is accessed. Deep computing techniques are applied to mine the accessed statistical data to associate pertinent statistical data with the patient data in the patient file to form a patient specific medical profile. Based upon the patient specific medical profile, patient specific information is formulated and delivered to one or more of the patient and the health care provider providing care to the patient.