Abstract: Technologies are provided for leveraging machine learning to predict the likelihood of near-future OUD for patients presenting in an emergency department. A model is trained with data corresponding to one or more of: gender, age, prior opioid use disorder diagnosis, prior opioid use disorder events, prior opioids, prior emergency department encounters, prior inpatient encounters, other medications, drug screening tests, hepatitis C tests, tobacco use questionnaires, prior results from medical tests, social history questionnaires, or other diagnoses to predict opioid use disorder risk for a population of patients. Upon receiving information available at an emergency department triage for a patient, the trained model is utilized to predict the opioid use disorder risk for the patient over a predetermined period of time.

Abstract: Systems, methods and computer-readable media having computer-executable instructions embodied thereon, for automated configuration, implementation and/or maintenance of a healthcare information system are provided. The systems, methods and computer-readable media of embodiments described herein utilize a number of information sources prior to initiation of configuration, implementation and/or maintenance to tailor or flex the process in a manner that is facility- and/or personnel-specific, thus alleviating solicitation of unnecessary information. Such information sources may include, by way of example only, one or more of facility- and/or personnel-specific content, facility and personnel profiles, site profiles, help and knowledge assistance information, and pre-configured content options.

Abstract: Systems, methods and computer-readable media having computer-executable instructions embodied thereon, for automated configuration, implementation and/or maintenance of a healthcare information system are provided. The systems, methods and computer-readable media of embodiments described herein utilize a number of information sources prior to initiation of configuration, implementation and/or maintenance to tailor or flex the process in a manner that is facility- and/or personnel-specific, thus alleviating solicitation of unnecessary information. Such information sources may include, by way of example only, one or more of facility- and/or personnel-specific content, facility and personnel profiles, site profiles, help and knowledge assistance information, and pre-configured content options.

Abstract: Systems, methods and computer-readable media having computer-executable instructions embodied thereon, for automated configuration, implementation and/or maintenance of a healthcare information system are provided. The systems, methods and computer-readable media of embodiments described herein utilize a number of information sources prior to initiation of configuration, implementation and/or maintenance to tailor or flex the process in a manner that is facility- and/or personnel-specific, thus alleviating solicitation of unnecessary information. Such information sources may include, by way of example only, one or more of facility- and/or personnel-specific content, facility and personnel profiles, site profiles, help and knowledge assistance information, and pre-configured content options.

Abstract: Systems, methods and computer-readable media having computer-executable instructions embodied thereon, for automated configuration, implementation and/or maintenance of a healthcare information system are provided. The systems, methods and computer-readable media of embodiments described herein utilize a number of information sources prior to initiation of configuration, implementation and/or maintenance to tailor or flex the process in a manner that is facility- and/or personnel-specific, thus alleviating solicitation of unnecessary information. Such information sources may include, by way of example only, one or more of facility- and/or personnel-specific content, facility and personnel profiles, site profiles, help and knowledge assistance information, and pre-configured content options.

Abstract: Systems, methods and computer-readable media having computer-executable instructions embodied thereon, for automated configuration, implementation and/or maintenance of a healthcare information system are provided. The systems, methods and computer-readable media of embodiments described herein utilize a number of information sources prior to initiation of configuration, implementation and/or maintenance to tailor or flex the process in a manner that is facility- and/or personnel-specific, thus alleviating solicitation of unnecessary information. Such information sources may include, by way of example only, one or more of facility- and/or personnel-specific content, facility and personnel profiles, site profiles, help and knowledge assistance information, and pre-configured content options.