Abstract: Disclosed and described systems, methods, and apparatus provide diagnostic display and analysis of patient data. An example radiology desktop system includes a workload manager that organizes and displays one or more worklists. The example workload manager retrieves and displays, based on receiving a selection of an active worklist, one or more exams associated with the active worklist. The example system includes a diagnostic hub triggered based on selection of an exam. The example diagnostic hub generates an exam preview panel provides a summary of the selected exam. The example diagnostic hub facilitates comparison, based on selection of a comparison exam via the user interface from a patient library, between the selected exam and the comparison exam via the diagnostic hub. The example diagnostic hub updates a worklist entry for the selected exam based on an analysis resulting from the comparison between the selected exam and the comparison exam.

Abstract: Disclosed and described systems, methods, and apparatus provide diagnostic display and analysis of patient data. An example radiology desktop system includes a workload manager that organizes and displays one or more worklists. The example workload manager retrieves and displays, based on receiving a selection of an active worklist, one or more exams associated with the active worklist. The example system includes a diagnostic hub triggered based on selection of an exam. The example diagnostic hub generates an exam preview panel provides a summary of the selected exam. The example diagnostic hub facilitates comparison, based on selection of a comparison exam via the user interface from a patient library, between the selected exam and the comparison exam via the diagnostic hub. The example diagnostic hub updates a worklist entry for the selected exam based on an analysis resulting from the comparison between the selected exam and the comparison exam.

Abstract: Disclosed and described systems, methods, and apparatus provide facilitate contextual collaboration and processing of conversation elements to infer an associated clinical context. An example method of contextual collaboration includes receiving, using a processor configured to be a contextual conversation processor, an unstructured conversation element from an electronic conversation occurring between at least two participants via a graphic user interface. The example method includes processing, using the processor, the unstructured conversation element to convert the unstructured conversation element to a structured conversation element and to determine a topic associated with the unstructured conversation element. The example method includes inferring, using the processor, a clinical context associated with the electronic conversation based on analyzing the structured conversation element.

Abstract: Disclosed and described systems, methods, and apparatus provide facilitate detection, processing, and relevancy analysis of clinical data. An example data event processing system includes a data event processor configured to receive a data event and to trigger, based on receipt of the data event, processing of the data event with respect to a clinical scenario. The example system includes a data relevancy processor configured to process the data event by applying natural language processing and machine learning to the data event based on the clinical scenario and to determine relevancy of the data event with respect to the clinical scenario based on a combination of domain knowledge and user knowledge. The example system includes an interface configured to output the data event and an indication of the relevancy of the data event with respect to the clinical scenario.