Abstract: Methods, systems, and computer-readable media are disclosed herein for intelligently identifying specific timeslots and identifying specific durations for the timeslots that can be recommended to a person seeking to make an appointment with a clinician. A scheduling module leverages real-time GPS data of the person and clustering techniques to identify the timeslots and predicted durations the person is predicted to utilize in that appointment based at least on a chief complaint and patient cohort data.

Abstract: Methods, systems, and computer-readable media are disclosed herein for predictive, diagnostic, and therapeutic applications of wearables for mental health. Information is received from at least one user device comprising a wearable device and corresponding to a user of the at least one user device. A response from the user to a validating questionnaire for a type of mental disorder or neurological disorder is received. A risk score corresponding to the type of mental disorder or neurological disorder and based at least in part on the information and the response to the validating questionnaire is determined. A determination is made as to whether the risk score is within a first predetermined range. In response to the risk score not being within the first predetermined range, a notification is automatically provided. Feedback from the wearable device is received in response to the user taking a medication prescribed after automatically providing the notification.

Abstract: Methods, systems, and computer-storage media are provided for determining the probability of readmission of an individual to a facility after a first admission. Medical data elements are identified that are associated with a first admission and at least one readmission for at least one individual at a facility over a predetermined period. Sequential pattern analysis is performed to determine correlation clusters between two or more conditions. Additionally, multivariate logistic regression may be performed to further support the correlation clusters determined. Based on the analysis, a prediction is generated and communicated to a first user regarding the risk of readmission of an individual and interventional treatments are proposed to decrease the risk of readmission based on the prediction comprising the correlation cluster.

Abstract: Methods, systems, and computer-readable media are provided for computer-based activity tracking within electronic medical records. Generally a user (e.g., a medical professional) logs in to electronic medical record software and performs various actions in an electronic medical record. Corresponding audit events are logged in an events database. A reviewer (e.g., in the electronic medical record software) requests to view a selected user's activity history comprising the actions performed by the user in one or more electronic medical records. For example, a user can request to view his or her own activity history, or a manager can request to view a reportee's activity history. The system determines whether the reviewer is authorized to view the selected user's activity history, and if the reviewer is authorized, a user activity component (e.g.

Abstract: Methods, systems, and computer-readable media are provided for computer-based autonomous discharge queue management. Individuals having been admitted to a medical facility such as an emergency department are autonomously screened and prioritized for discharge. The screening can be performed based on one or more screening criteria including a determination of whether an individual's vital signs have stabilized. The prioritization can be performed based on one or more prioritization criteria. In exemplary embodiments, the prioritization criteria include length of stay, disability status and age. The resulting prioritized discharge queue, a portion thereof, or some other indication of discharge priority based thereon can be provided to one or more caregiver devices in the medical facility to assist with discharging individuals in a quick and efficient manner.