Abstract: At least one non-transitory computer readable medium (14, 16, 18) stores log data (20) comprising log data strings generated by a medical imaging device (12); a set of regular expressions (22) for analyzing the log data; and instructions readable and executable by a first computer (14) to: apply regular subexpressions (24) of the set of regular expressions to the log data strings to select a subset of the log data, wherein each regular subexpression is defined by a string that is contained in at least one regular expression of the set of regular expressions; and transfer a portion of the log data consisting of only the subset of the log data to a second computer (16) via a local area network (LAN) and/or the Internet (13).

Abstract: A non-transitory computer readable medium (107, 127) stores instructions readable and executable by at least one electronic processor (101, 113) to: retrieve, based on a query for a current service case, a plurality of the historical service case records (130) for historical service cases; rank the retrieved historical case service records to generate a ranked list (134) of historical service cases; extract service actions from the historical service case records for the ranked list of historical cases; recommend a plurality of recommended service actions for the current service case based on the service actions extracted from the historical service case records for the ranked list of historical service cases; and display, on a display device (105) of a remote electronic processing device (102) operable by a service engineer, a user interface (UI) (136) having user-selectable windows for displaying the ranked list of historical service cases and the recommended service actions.

Abstract: A method (100) of automated identification of one or more malfunction areas of a set (S) of malfunction areas for a service case in which a medical device (12) is serviced includes: generating an output probability vector (40) of probabilities for the set of malfunction areas of the medical device by operations including applying at least one classifier (42, 46) to at least one of (1) text descriptions of parts ordered for the service case and/or (2) a text description of the service case; and displaying a list (56) of one or more most probable malfunction areas for the service case wherein the one or more most probable malfunction areas are the one or more most malfunction areas of the set of malfunction areas having highest probability in the output probability vector.

Abstract: An alert monitoring method includes receiving alerts generated by one or more medical systems, each alert being timestamped and associated to the medical system that generated the alert; segmenting a displayed time span into discrete time units whose size depends on the displayed time span; generating a timeline representing the alerts over the displayed time span, the timeline comprising a two-dimensional grid of blocks with each block having a corresponding discrete time unit and a corresponding alert source for the one or more medical systems, and each block being color coded based on a fraction of the corresponding discrete time unit over which the corresponding alert is critical; displaying, on a display device, the timeline representing the alerts over the displayed time span; and in response to receiving a user input adjusting the displayed time span, displaying an updated timeline representing the alerts over the updated displayed time span.

Abstract: A non-transitory computer readable medium (107, 127) stores instructions readable and executable by at least one electronic processor (101, 113) to perform a method (200) of selecting a subset of log data (130) automatically generated by a medical device (120) undergoing servicing. The method includes generating chains (134) of a hierarchical components chart (132) representing components of the medical device (120), wherein each chain begins at a node (136) of the hierarchical components chart representing a component of the medical device involved in the servicing and extends upward through the hierarchy of the hierarchical components chart: identifying a subset of components of the medical device corresponding to the nodes of the generated chains: selecting the subset of the log data as messages (138) of the log data associated with the identified subset of components of the medical device; and displaying at least a portion of the subset of the log data.

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a method (100) of monitoring a component (10) of a medical device (1). The method includes retrieving information about a correction factor (40) applied during operation of the component from the medical device; deriving a wear metric indicative of wear of a portion of the component from the retrieved information about the correction factor applied during the operation of the component; estimating a time remaining until end-of-life (EOL) of the component; and outputting an alert (30) indicating estimated time remaining until EOL of the component.

Abstract: A non-transitory computer readable medium (107, 111) stores instructions executable by at least one electronic processor (101, 113) to perform a call intake method (200). The method includes receiving caller-provided information describing an issue related to a functioning of a medical device from the caller; retrieving device log data automatically generated by the medical device; determining scores for diagnostic tests (132) of a set of diagnostic tests for diagnosing the issue with the medical device wherein the scores are determined based on the retrieved device log data and the caller-provided information; and outputting, on a display device (105) of a service engineer (SE) electronic device (102) operable by the SE, a ranked list (142) of one or more recommended diagnostic tests of the set of diagnostic tests based on the scores.

Abstract: A medical device (120) includes a component (121); and a service tag (130) to be affixed to the component, the service tag having encoded data (134) disposed thereon about servicing of the component of the medical device. In some embodiments, the encoded data includes a summary of a service report or an entire service report reporting on a prior service call, with information such as date of service, information on symptoms related to a problem addressed by the service call, information on one or more service actions performed during the service call, or so forth. In some embodiments, the encoded data (134) of the service tag (130) comprises one of: a bar code, a quick response (QR) code, and a radiofrequency identification (RFID) code.

Abstract: A non-transitory computer readable medium (107, 127) stores instructions readable and executable by at least one electronic processor (101, 113) to perform a suspect device configuration detection method (200).

Abstract: A non-transitory computer readable medium (107, 127) stores data related to medical imaging devices (120) generated from log files (132) from the medical imaging devices; and instructions readable and executable by at least one electronic processor (101, 113) to: retrieve, based on a query received for a current service case, log data from the log files of the medical imaging device for which the current service case is to be performed including at least operational data of the medical imaging device related to the current service case to be performed; generate, from the retrieved log data, at least a subset of the operational data for the current service case to be provided to a maintenance provider; and provide, on a display device (105) of an electronic processing device (102) operable by the maintenance provider, a user interface (UI) (140) displaying information about the current service case.

Abstract: A service records system (100) includes at least one computer (102, 111) programmed to implement a service records management system (110) for storing and viewing a service record (136) pertaining to a medical imaging device (120). The service records management system includes a service record entry system (128) configured to receive and store: content entries storing content describing servicing of the medical imaging device, and control entries storing executable code (130); and a service record viewer (129) configured to display the content stored in the content entries and to control the service record viewer by executing the executable code stored in the control entries.

Abstract: A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (10, 12, 14) to perform a log pattern analysis method (300) by applying a log pattern to log data undergoing analysis comprising log events which are time stamped and which are defined by values for a set of fields. The log data undergoing analysis are stored on a server (30) accessible by the at least one electronic processor via an electronic network (31).

Abstract: In a method of locating medical equipment to be serviced, a map of a medical facility is accessed using an electronic processing device. The map includes a plurality of medical equipment each having a tag indicative of a location thereof. A user input is received which is indicative of a selection of a medical equipment of the plurality of medical equipment. A list of service actions to be performed for the selected medical equipment is displayed on a display device of the electronic processing device.

Abstract: A service actions database stores credentials for performing respective service actions. A service engineer (SE) database stores credentials of respective SE's. In a method of authorizing a servicing session of a medical device, a service ticket to perform a servicing session of the medical device is received. Credentials of a candidate SE are retrieved from the SE database. One or more service actions are determined for resolving the service ticket. Credentials required to perform the servicing session are retrieved from the service actions database based on the determined one or more service actions. It is determined whether the credentials of the candidate SE satisfy the credentials required to perform the servicing session. An indication is output that the candidate SE is unqualified to perform the servicing session when the credentials of the candidate SE do not satisfy the credentials required to perform the servicing session.

Abstract: An apparatus (10) for navigating a hierarchical electronic questionnaire (12) includes at least one electronic processor (20) programmed to: provide (102) a user interface (UI) (27) via which: at least a portion of the hierarchical electronic questionnaire is presented on a display device (24) represented as a tree-based questionnaire map (30) with a plurality of nodes (32) connected by a plurality of branches (34), the nodes of the plurality of nodes corresponding to questions; a user input is received, via at least one user input device (22), indicative of a selection of at least one of the nodes; and the question corresponding to the selected node is displayed and a user input indicative of an answer to the question corresponding to the selected node is received via the at least one user input device; and populate (104) one or more nodes other than the selected node based on the selected node and/or the answer to the question corresponding to the selected node.

Abstract: A method (100) of automated identification of one or more malfunction areas of a set (S) of malfunction areas for a service case in which a medical device (12) is serviced includes: generating an output probability vector (40) of probabilities for the set of malfunction areas of the medical device by operations including applying at least one classifier (42, 46) to at least one of (1) text descriptions of parts ordered for the service case and/or (2) a text description of the service case; and displaying a list (56) of one or more most probable malfunction areas for the service case wherein the one or more most probable malfunction areas are the one or more most malfunction areas of the set of malfunction areas having highest probability in the output probability vector.

Abstract: A method (100) of generating a ranked list (42) of alerts (30) from files (32) of electronic devices (12) includes: applying predictive models (34) to data of the files to generate maintenance alerts for the electronic devices; assigning discrete values for a set of criteria (36) to each maintenance alert whereby the maintenance alert has a share computed as a product of the assigned discrete values; performing a credit-based queuing process (38) to assign the maintenance alerts to slots of a ranked list, wherein in the credit-based queuing process the maintenance alerts accumulate credits in accord with the shares computed for the respective maintenance alerts; and displaying, on a display device (24) operatively connected with the at least one electronic processor, the maintenance alerts as the ranked list in accordance with the assignments of the maintenance alerts to the slots of the ranked list.

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a method (100) of detecting issues with wireless connections. The method includes: receiving Wi-Fi roaming data for wireless devices (12) connected to a wireless electronic data communication network (14) comprising a plurality of access points (APs) (16) dispersed through a facility; from the received Wi-Fi roaming data, determining single-AP disconnect events for the APs wherein a single-AP disconnect event for an AP comprises a disconnection of the AP from a wireless device followed by a reconnection of the AP with the wireless device without the wireless device connecting to any other AP during a time interval between the disconnection and the reconnection; and generating an alert (30) for any AP whose rate of single-AP disconnect events exceeds a predetermined single-AP disconnect rate alert threshold.

Abstract: Analysis of a log pattern for use in diagnosing a medical imaging device operates on log data including log events and service calls, each associated with a subset of log events within a service call time frame of a call time of the service call. Preprocessing (64) generates normalized log events (66) by removing or replacing content of the log events and linking each normalized log event with one or more service calls. Pre-analysis (68) identifies a test set of normalized log events that match a log pattern (40) and a test set of service calls (42) linked with the test set of normalized log events. The test set of service calls is analyzed (74) to identify hit service calls (46) each belonging to the test set of service calls and for which the log pattern under analysis has a hit.

Abstract: At a service device (102), a user interface (106) is provided via which a user submits an order request (117) to order a requested part (X) via the at least one user input device (103). Co-replacement information (116) for the requested part (X) is identified using a co-replacements database (114), and is displayed on the display. For example, a second part (Y) commonly co-replaced with requested part (X) may be identified and recommended for replacement with part (X); or, if two parts (X) and (Y) are ordered then the co-replacement information may be to recommend ordering only one of these parts. At a server hosting the database (114), the order request is received from a service device and the co-replacement information (116) for the requested part is generated using the co-replacements database (114), and the co-replacement information is sent to the service device.