Abstract: Systems, methods, and non-transitory media are included for a providing a customized medical treatment. An example method can include receiving, at a medical system, patient data associated with a patient; detecting, at the medical system, a health condition of the patient based on the patient data associated with the patient; comparing, at the medical system, the patient data and the health condition of the patient with similar health conditions of a general population; determining, at the medical system, whether the health condition of the patient is actionable based on the comparing of the patient data and the health condition of the patient with the similar health conditions of the general population; and providing, by the medical system, a customized medical treatment plan to the patient based on the determining of whether the health condition of the patient is actionable.

Abstract: Systems, methods, and non-transitory media are provided for a collaborative smart screen for patient consultations. An example method can include presenting, at a display device, a suggested consultation action during a patient consultation at the medical care site, the suggested consultation action being based on patient data associated with a patient; presenting, at the display device and during the patient consultation, a portion of patient data contextually relevant to the suggested consultation action, the patient consultation, and the patient; and based on one or more measurements generated from the suggested consultation action, updating the portion of patient data presented at the display device.

Abstract: A method for enhancing data consumption is disclosed. An indication of an interest in an item of a data feed is received. One or more entities associated with the item are identified. Here, the entities are structures into which portions of the item are capable of being categorized. One or more data types of the one or more entities are identified. A template is selected from a set of templates based on the one or more data types. Here, each one of the set of templates specifies a visualization of information associated with the data item. A visualization is presented based on the template.

Abstract: A method is disclosed for evaluating an information retrieval system. A performance metric is associated with a message received at the information retrieval system. A geometric point is determined that corresponds to the message based on one or more clustering techniques. The message is assigned to a cluster based on a judgment of a distance between the geometric point and an additional geometric point, the additional geometric point corresponding to an additional message, the additional message being assigned to the cluster. The performance metric is aggregated with an additional performance metric, the additional performance metric corresponding to the additional message. A value is assigned to the cluster, the value representing a ranking of the cluster in comparison to an additional cluster with respect to the performance metric and the additional performance metric.