Abstract: Methods, apparatus, systems and articles of manufacture to provide an image modality maintenance smart find are disclosed. The example method includes identifying an imaging device based on an image of the imaging device. The method further includes determining at least one of a make, a model, or a modality of the imaging device based on the identification. The method further includes identifying a fleet of imaging devices corresponding to the imaging device. The method further includes storing error information corresponding to an issue of the imaging device in correspondence with the fleet of imaging devices and update a model corresponding to the fleet based on the error information. The method further includes deploying the model to a device of a technician.

Abstract: Methods, apparatus, systems and articles of manufacture to provide an image modality maintenance care package are disclosed. An example apparatus includes a solution predictor to predict a solution for servicing an imaging device based on the at least one of an error code or an identified issue and information related to previous solutions corresponding to the at least one of the error code or the identified issue. The apparatus further includes a care package generator to generate a customized data structure corresponding to the solution, the customized data structure including automated solutions to service the imaging device.

Abstract: A system for identifying healthcare assets includes a set of tags configured to communicate with one another, the set of tags including a root tag configured to transmit an asset identifier identifying the healthcare asset and a plurality of component tags each configured to transmit a component identifier identifying a component of the healthcare asset. A receiver system is configured to receive the asset identifier and the plurality of component identifiers from the set of tags and to automatically generate a bill of materials (BOM) for the healthcare asset based on the asset identifier and the plurality of component identifiers.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a technician selector to: identify at least one of a skill level, tools list, or replacement part list to fix a problem based on an identified problem corresponding to a service request from an imaging device; and access resources from a database of resources available to service the imaging device; a multiplier to weight resources based on at least one of the skill level, possessed tools in comparison to the tools list, possessed replacement parts in comparison to the replacement part list, distance to service location, or availability; and an interface to transmit the service request using a wireless communication to a repair device of the highest weighed resource, the service request to be augmented to include a configuration for the repair device to facilitate addressing of the service request by the highest weighted resource.

Abstract: A system for identifying healthcare assets includes a set of tags configured to communicate with one another, the set of tags including a root tag configured to transmit an asset identifier identifying the healthcare asset and a plurality of component tags each configured to transmit a component identifier identifying a component of the healthcare asset. A receiver system is configured to receive the asset identifier and the plurality of component identifiers from the set of tags and to automatically generate a bill of materials (BOM) for the healthcare asset based on the asset identifier and the plurality of component identifiers.

Abstract: A method for detecting anomalies in a system. The method includes collecting training data from the system, converting the training data into training images using an image generator, and designating each of the training images as corresponding to events for the system, where the events are at least one of an expected normal event and a non-normal event. The method further includes generating an image recognition model based on the training images and the designations thereof. The method further includes collecting new data from the system, converting the new data into input images, and analyzing the input images using the image recognition model to determine which of the events for the system are represented in the input images, where the anomalies are detected when the input images are determined to at least one of represent a non-normal event and fail to represent an expected normal event.

Abstract: A method for detecting anomalies in a system. The method includes collecting training data from the system, converting the training data into training images using an image generator, and designating each of the training images as corresponding to events for the system, where the events are at least one of an expected normal event and a non-normal event. The method further includes generating an image recognition model based on the training images and the designations thereof. The method further includes collecting new data from the system, converting the new data into input images, and analyzing the input images using the image recognition model to determine which of the events for the system are represented in the input images, where the anomalies are detected when the input images are determined to at least one of represent a non-normal event and fail to represent an expected normal event.

Abstract: Methods, apparatus, systems and articles of manufacture to provide a mutatable machine genetic structure are disclosed. An example apparatus includes memory including instructions for execution by a processor and a machine genetic structure specifying composition, performance, and health of a machine; and at least one processor. The processor is to execute the instructions to at least: evaluate the machine genetic structure with respect to an operating condition of the machine to identify a discrepancy and/or an opportunity for improvement for the machine genetic structure to satisfy the operating condition; determine a mutation of the machine genetic structure from a first sequence to a second sequence to address the discrepancy and/or opportunity for improvement to satisfy the operating condition; and set the machine genetic structure from the first sequence to the mutation of the second sequence to configure the machine for operation according to the machine genetic structure.

Abstract: Methods, apparatus, systems and articles of manufacture providing an image modality smart symptom maintenance are disclosed. The example apparatus includes a system processor to identify a distinguishing symptom of a first subset of issues corresponding to an imaging device. The apparatus further includes an interface to transmit a prompt corresponding to an identification of the distinguishing symptom. The apparatus further includes a filter to filter out issues of the first subset of issues based on a response to the prompt to generate a second subset of issues. The apparatus further includes the system processor to transform the first subset of issues into a solution for servicing the imaging device by applying at least one of the symptom or the first subset of issues to an artificial intelligence model corresponding to the imaging device.

Abstract: Methods, apparatus, systems and articles of manufacture to provide an image modality maintenance care package are disclosed. An example apparatus includes a solution predictor to predict a solution for servicing an imaging device based on the at least one of an error code or an identified issue and information related to previous solutions corresponding to the at least one of the error code or the identified issue. The apparatus further includes a care package generator to generate a customized data structure corresponding to the solution, the customized data structure including automated solutions to service the imaging device.

Abstract: Methods, apparatus, systems and articles of manufacture to provide an image modality maintenance smart find are disclosed. The example method includes identifying an imaging device based on an image of the imaging device. The method further includes determining at least one of a make, a model, or a modality of the imaging device based on the identification. The method further includes identifying a fleet of imaging devices corresponding to the imaging device. The method further includes storing error information corresponding to an issue of the imaging device in correspondence with the fleet of imaging devices and update a model corresponding to the fleet based on the error information. The method further includes deploying the model to a device of a technician.

Abstract: Methods, apparatus, systems and articles of manufacture providing an image modality smart symptom maintenance are disclosed. The example apparatus includes a system processor to identify a distinguishing symptom of a first subset of issues corresponding to an imaging device. The apparatus further includes an interface to transmit a prompt corresponding to an identification of the distinguishing symptom. The apparatus further includes a filter to filter out issues of the first subset of issues based on a response to the prompt to generate a second subset of issues. The apparatus further includes the system processor to transform the first subset of issues into a solution for servicing the imaging device by applying at least one of the symptom or the first subset of issues to an artificial intelligence model corresponding to the imaging device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a technician selector to: identify at least one of a skill level, tools list, or replacement part list to fix a problem based on an identified problem corresponding to a service request from an imaging device; and access resources from a database of resources available to service the imaging device; a multiplier to weight resources based on at least one of the skill level, possessed tools in comparison to the tools list, possessed replacement parts in comparison to the replacement part list, distance to service location, or availability; and an interface to transmit the service request using a wireless communication to a repair device of the highest weighed resource, the service request to be augmented to include a configuration for the repair device to facilitate addressing of the service request by the highest weighted resource.

Abstract: Methods and systems are provided for dynamic, self-swarming smart tags. In one example, a system includes a plurality of smart tags each configured to be coupled to a respective component of a medical imaging system. Each smart tag of the plurality of smart tags is configured to broadcast identification information usable by other smart tags in order to dynamically form a family, the family formed based on the broadcast identification information matching stored identification information and further based on a proximity of each smart tag of the plurality of smart tags to one another.

Abstract: Methods and systems are provided for dynamic, self-swarming smart tags. In one example, a system includes a plurality of smart tags each configured to be coupled to a respective component of a medical imaging system. Each smart tag of the plurality of smart tags is configured to broadcast identification information usable by other smart tags in order to dynamically form a family, the family formed based on the broadcast identification information matching stored identification information and further based on a proximity of each smart tag of the plurality of smart tags to one another.

Abstract: A system and method to troubleshoot a defect in at least one machine is provided. The system includes a portable device having a tracking system to detect when within a threshold proximity of a machine, and a controller to perform the steps of: authenticating the user to operate the portable device and communicating a first signal including the unique identifier of the portable device in response to detecting when within threshold proximity of the at least one machine. The system can further include an agent located at the machine to receive the first signal from the portable device, and in response to automatically verify authorization of the portable device to access the machine; and automatically trigger transmission of an operational data of the least one machine to the portable device over a secure channel.

Abstract: A system and method to assess a serviceability of a machine having a field replaceable unit (FRU) is provided. A controller can perform the steps of tracking performance parameters of the machine; calculating and comparing a performance index; generating requests for service of the FRU of the machine based on the performance index, the requests for service not including replacement of the FRU; detecting completion of a events to service the FRU of the machine; calculating an asset healability index representative of a trend in the performance index over time between each of the events to service the FRU; and generating a request for replacement of the FRU instead of another request to service the FRU based on a comparison of the asset healability index relative to a second predetermined threshold.

Abstract: A system and method to assess a serviceability of a machine having a field replaceable unit (FRU) is provided. A controller can perform the steps of tracking performance parameters of the machine; calculating and comparing a performance index; generating requests for service of the FRU of the machine based on the performance index, the requests for service not including replacement of the FRU; detecting completion of a events to service the FRU of the machine; calculating an asset healability index representative of a trend in the performance index over time between each of the events to service the FRU; and generating a request for replacement of the FRU instead of another request to service the FRU based on a comparison of the asset healability index relative to a second predetermined threshold.

Abstract: An access system and method to establish communication with a customer system via a port is provided. The system can comprise a secure access key that can provide a communication link to the port on the customer system, and a footprint module. The footprint module can block connectivity via the port with the customer system unless the footprint module detects the secure access key as having a first authentication to connect to the customer system. A client device can communicate with the secure access key to get a second authentication from the secure access key to create a connection for communication via the secure access key with the customer system. The system can further comprise a user authentication module that requires a third authentication of a user to operate the client device to communicate over the secure connection via the secure access key with the customer system.

Abstract: In one embodiment, a method for monitoring hygienic compliance in a medical institution includes detecting presence of a healthcare provider in a patient area and identifying the healthcare provider to produce provider identification data. The monitoring method also includes detecting usage of a cleansing medium by the healthcare provider to produce usage data. The method includes transmitting the healthcare provider identification data and the usage data to an institutional information system. The monitoring method also includes associating the healthcare provider identification data and the usage data to provide a record of hygienic compliance for the healthcare provider.