Abstract: An apparatus (10) provides remote assistance to a local operator of a medical imaging device (2) disposed in a medical imaging device bay (3) via a communication link (14) from a remote location (4) that is remote from the medical imaging device bay to the medical imaging device bay. The apparatus includes a workstation (12) disposed at the remote location including at least one workstation display (24).

Abstract: An apparatus (10) includes at least one electronic processor (20) programmed to: receive scheduled imaging examination information (13) for a medical imaging examination which the patient is to undergo including at least a patient identifier, a scheduled date of the medical imaging examination, and an imaging modality of the medical imaging examination; extract patient information (29) from one or more medical records of the patient based on the scheduled imaging examination information; and generate one or more preparatory action items (15) to be performed in preparation for the medical imaging examination based on the patient information and the scheduled imaging examination information.

Abstract: An apparatus (10) includes at least one electronic processor (20) programmed to: display, on a display device (24), at least one workflow (27) corresponding to an imaging examination order (11) for a patient, the workflow including a set of phases (31) over predicted time windows for the workflow, each phase in the set of phases including one or more steps (33) to be performed in the workflow; and dynamically update the at least one workflow on the display device with additional data related to one or more steps of the phases of the at least one workflow.

Abstract: A radiology viewer includes at least one electronic processor (10, 20), at least one display (12), and at least one user input device (14, 16, 18). The display shows at least a portion of a radiology image (30) in an image window (40), and at least a portion of a radiology report (32) in a report window (42). A selection is received of an anatomical feature shown in the image window, and a corresponding passage of the radiology report is identified and highlighted in the report window. A selection is received of a passage of the radiology report shown in the report window, and a corresponding anatomical feature of the at least one radiology image is identified and highlighted in the image window. The highlighting operations use image anatomical feature tags and report clinical concept tags generated using a medical ontology (56) and an anatomical atlas (62).

Abstract: A system (100) includes an end point prediction engine (150) that predicts an end point (302) using a machine learning model (132) and one or more clinical report objects (152) for a patient, wherein the machine learning model inputs the one or more clinical report objects and outputs the predicted end point according to phrases or n-grams in the one or more clinical report objects. An end point visualization interface (160) visualizes the predicted end point (302) using a scorecard (162) or a timeline (164). An end point modeling engine (130) generates the machine learning model from training data that includes validated end points (122) and clinical report objects (116).

Abstract: A system (100) includes a processor (182) configured to generate (300) an unauthorized imaging order (122) for a patient from a follow-up recommendation for the patient. The unauthorized imaging order comprises a first anatomy, a first modality and/or a time interval. The processor is further configured to receive (320) an authorized imaging order (110) for the patient which includes a second anatomy and a second modality, and in response to an imaging examination of the patient according to the authorized imaging order and a determined overlap of the authorized imaging order and the unauthorized imaging order, acknowledge (360) that the follow-up recommendation has been satisfied by modifying a status of the unauthorized imaging order.