Abstract: Embodiments in the present disclosure relate generally to computer network architectures for machine learning, artificial intelligence, and dynamic patient guidance. Embodiments automatically update patient guidance in the patient care plan, based on the effectiveness of the guidance to date, attributes of the patient, other updated information, ongoing experience of the network, and updated predictions of possible patient outcomes and metrics.

Abstract: A computer system and computer implemented method for performing web-based drug interaction screening utilizing access a patient's prescription history stored in the pharmacy's prescription history or in the health plan's claim history.

Abstract: Certain examples provide systems, methods, and apparatus for medical device management. An example method includes comparing a first identification of a first data set to a second identification of a second data set at a medical device. The example method includes, when the first identification does not match the second identification, triggering a download of the second data set to the medical device. The example method includes determining an operating state of the medical device. The example method includes, when the operating state indicates the medical device is idle, triggering activation of the second data set in place of the first data set at the medical device. The example method includes facilitating operation of the medical device according to the second data set.

Abstract: A diagnostic data processing apparatus based on medical interview data and camera data according to the present invention includes: an interview engine for transmitting information on a question about previously provided standardized items to a user terminal or a smart mirror; an analysis engine for receiving medical interview information including information on an answer corresponding to the information on the question from the user terminal or the smart mirror, determining a state of a user by analyzing the medical interview information, and diagnosing the state of the user by analyzing a picture or an image received from the user terminal or the smart mirror; and a proposal engine for proposing complementary and alternative medical contents corresponding to information on a result of the analysis to the user terminal or the smart mirror through the information on the result of the analysis performed by the analysis engine.