Abstract: A remote assistance method (100) includes: applying a likelihood estimation model (42) to determine likelihoods of needing remote expert assistance for scheduled medical imaging examinations based on information on the scheduled medical imaging examinations; applying a load-balancing optimization model (44) to assign remote experts to the scheduled medical imaging examinations of the examination schedule based on the determined likelihoods of needing remote expert assistance and information on the remote experts; providing a remote assistance interface (28, 28?) via which a local operator (LO) performing a scheduled medical imaging examination can receive remote assistance from a remote expert (RE); and initiating a remote assistance session via the remote assistance interface for the scheduled medical imaging examination being performed, wherein the initiating includes automatically connecting the local operator with the remote expert assigned to the scheduled medical imaging examination being performed.

Abstract: A method (100) of providing remote monitoring of a local operator (LO) of a medical imaging device (2) during a medical imaging examination, the method including: mapping image features to medical imaging examinations based at least on timestamps of the image features, the medical imaging examinations to which the image features are mapped including completed medical imaging examinations and a current medical imaging examination; converting the image features mapped to each completed medical imaging examination into a representation (43) of the completed medical imaging examination and a representation (47) of a current status of the current medical imaging examination; generating at least one completion time statistic (45) representing the completion times for the completed medical imaging examinations; and during the current medical imaging examination, displaying the representation of the current status of the current medical imaging examination and the at least one completion time statistic on the worksta

Abstract: An apparatus provides remote assistance to a local operator of a medical imaging device disposed in a medical imaging device bay via a communication link from a remote location that is remote from the medical imaging device bay to the medical imaging device bay. The apparatus includes a workstation disposed at the remote location including at least one workstation display.

Abstract: A system (100) for context aware medical recommendations includes a recommendation engine (138) and a user interface (122). The recommendation engine (138) identifies at least one suggested recommendation (140) according to a medical guideline and context in response to a first input indicating a finding (150) in a medical image (112) of a patient. The user interface (122) displays on a display device (120) the at least one suggested recommendation selectable as a second input.

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: A non-transitory computer readable medium (26) stores instructions readable and executable by at least one electronic processor (20) to perform medical procedure billing rate optimization method (100).

Abstract: A method (100) of connecting a local medical imaging device operator (LO) with a remote medical imaging expert (RE) during an imaging examination performed using a medical imaging device (2) includes: determining characteristics for available remote medical imaging experts who are available to assist the local operator; matching one or more of the available remote medical imaging experts based on the determined characteristics for the remote medical imaging experts with characteristics of the imaging examination; and providing a user interface (UI) (28, 28?) to at least one display device (24, 24?) operable by the local operator and the remote medical imaging expert, the UI displaying a list (44) of the matched available remote medical imaging experts and via which the local medical imaging device operator can select a matched available medical imaging expert from the displayed list.

Abstract: A communication system between an imaging bay containing a medical imaging device and a control room containing a controller for controlling the medical imaging device includes an intercom with a bay audio speaker and bay microphone in the imaging bay, and a communication path via which bay audio from the bay microphone is transmitted to the control room and via which instructions are transmitted from the control room to the bay audio speaker. An electronic processing device operatively connected with the communication path is programmed to at least one of (i) generate the instructions; (ii) modify the bay audio and output the modified bay audio in the control room; and/or (iii) analyze the bay audio to determine actionable information, determine a modification of or addition to a medical workflow based on the actionable information, and automatically implement the modification of or addition to the medical workflow.

Abstract: A non-transitory computer readable medium (26, 30) stores instructions executable by at least one electronic processor (20, 34) to perform a method (100) of distributing medical examinations to medical professionals. The method includes tracking examinations performed or reviewed by a plurality of medical professionals; calculating one or more metrics (38, 40) for each medical professional of the plurality of medical professionals based on the tracked examinations, the one or more metrics including a diversity metric indicative of a diversity of different types of examinations performed or reviewed by the medical professional; and allocating upcoming examinations among the medical professionals of the plurality of medical professionals based at least in part on the one or more metrics calculated for the medical professionals of the plurality of medical professionals.

Abstract: A non-transitory computer readable medium (26, 30) stores instructions executable by at least one electronic processor (20, 32) to a method (100) of monitoring performance of medical professionals. The method includes tracking a quantification of examinations performed by one or more medical professionals; tracking credentials under which the examinations are performed; and outputting, on at least one display device, a representation of usage of one or more credentials by one or more medical professionals of the plurality of medical professionals based on the tracked quantities of examinations and the tracked credentials under which the examinations are performed.

Abstract: A system (100) for context aware medical recommendations includes a recommendation engine (138) and a user interface (122). The recommendation engine (138) identifies at least one suggested recommendation (140) according to a medical guideline and context in response to a first input indicating a finding (150) in a medical image (112) of a patient. The user interface (122) displays on a display device (120) the at least one suggested recommendation selectable as a second input.

Abstract: A non-transitory computer-readable storage medium storing a set of instructions that are executable by a processor, the set of instructions, when executed by the processor, causing the processor to perform operations comprising receiving an imaging study including a medical image of a patient; extracting image context from the imaging study; generating a search query based on the image context; sending the search query to a data source; receiving results of the query from a data source; and providing the results to a user.

Abstract: An apparatus (10) for generating benchmarking metrics of current operational workflow performance of a hospital department includes at least one electronic processor (20) programmed to: generate a department profile (34) identifying resources of the hospital department including at least an active medical equipment inventory and a personnel profile; retrieve current statistics for the hospital department including at least one of patient arrival timeliness, patient no-show, and emergency department (ED) arrival statistics; compute values of one or more key performance indicator (KPI) metrics (40) for the current statistics; generate an executable workflow model (44) for workflow processes of the hospital department including temporal aspects of the workflow processes, the workflow model having variables representing at least patient arrival timeliness, patient no-show, and ED arrival; simulate a best case scenario (50) by executing the workflow model on inputs including the department profile and best case va

Abstract: A non-transitory computer readable medium (26s) stores instructions executable by at least one electronic processor (14s) to perform a remote assistance method (100). The method includes: providing a remote assistance interface (28, 28?) via which a local operator (LO) can receive remote assistance during a medical imaging examination performed by the local operator using a medical imaging device (2); prior to or during the medical imaging examination, identifying a handoff (40) from a first remote expert (RE) assigned to provide the remote assistance during the medical imaging examination to a second remote expert (SRE); generating a representation (46) containing information about the medical imaging examination; transferring the representation containing information about the medical imaging examination to the second remote expert; and reassigning the medical imaging examination from the first remote expert to the second remote expert.

Abstract: To assist during a medical imaging examination performed using a medical imaging device, video and/or audio feeds are acquired of the imaging examination. A workflow of the imaging examination is tracked based at least on the acquired video and/or audio. An event is detected related to the workflow of the imaging examination at least based on analysis of the video and/or audio using an artificial intelligence (AI) component. A modification of the workflow of the imaging examination is determined based on the detected event. The modification is automatically executed.

Abstract: A non-transitory computer readable medium (34) stores instructions executable by at least one electronic processor (32) to perform a method (100) for supporting remote experts (RE) in assisting local operators (LO) of respective medical imaging devices (2) during medical imaging examinations. The method includes: determining, in response to a calling local operator placing a call to a called remote expert, a context of the calling local operator based on at least one feed (15, 17, 17W, 18) of a workspace of the calling local operator; retrieving, from a database (34), a view configuration (36) for a determined user interface (UI) view based on the determined context; and controlling a display device (24) to display the determined UI view based on the retrieved view configuration.

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a method (100) of providing assistance from a remote expert (RE) to a local operator (LO) of a medical imaging device (2) during a medical imaging examination. The method includes: providing a user interface (UI) (29), on a remote workstation (12) operable by the remote expert, displaying a feed (17, 18) of at least an imaging bay (3) where the medical imaging device is disposed; detecting, by analysis of the feed, an event occurring in the imaging bay; and outputting, via the remote workstation, an alert (30) indicating the detected event.

Abstract: A system (100) for detecting and labeling structures of interest includes a current patient study database (102) containing a current patient study (200) with clinical contextual information (706), a statistical model patient report database (104) containing at least one or more prior patient documents containing clinical contextual information (706), an image metadata processing engine (118) configured to extract metadata for preparing an input for an anatomical structure classifier (608), a natural language processing engine (120) configured to extract clinical context information (706) from the prior patient documents, an anatomical structure detection and labeling engine (718) or processor (112), and a display device (108) configured to display findings from the current patient study.

Abstract: Abstract: A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (20) to perform a workflow schedule monitoring method (100). The method includes: simulating (42) a workflow schedule (46) using data including workflow timestamps and a planned schedule; detecting (44) non-compliance of the workflow schedule with constraint data (52); in response to the detection of non-compliance, determining one or more workflow schedule adjustment options (48) for adjusting the workflow schedule to comply with the constraint data; and controlling a display device (24) of the workstation to display the workflow schedule and the one or more workflow schedule adjustment options.

Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a mobile device (32) with a display (34) and including at least one electronic processor (35) to perform a patient appointment timeline tracking method (100, 200). The method includes: receiving, via a wireless communication path (36), information at the mobile device about a patient appointment at a medical facility including estimated time information for events in the patient appointment; controlling the display to display a timeline (40) of the events in the patient appointment, the events being displayed as icons (42), the displayed time-line including the time information for the events; detecting, via one or more user inputs, a selection of one of the icons; and in response to detecting the user inputs, controlling the display to present information related to the selected icon.