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Abstract

Method and system for remote monitoring of high-risk patients using artificial intelligence. A plurality of high-risk patients can be simultaneously monitored without patient intervention. A patient hears questions in the doctor's voice at each monitoring encounter and responds. The patient's responses are recorded at a remote central monitoring station and can be analyzed on line or later. Artificial intelligence (AI) and voice technology (DECvoice) are combined to present to the patient, during a monitoring session or encounter, questions which would be selected from a plurality of different recorded questions. Questions to the patient are chosen using AI, based on the patient's response, by parsing. The monitor could take several forms such as for e.g., uterine activity strips, glucometers, blood pressure cuffs, pulse monitors, electroencephalographs, etc. Preferably, four telephone lines are dedicated to each patient, one for the monitor, one for the voice, one as a back up and one to sense failures. Dual tone matrix frequency signals (DTMF) may be used for transmission of monitored signals and other information which can be recognized by DECvoice, which is but one example of the voice technology which can be used.

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