Abstract: A method, system, and computer program product for predictive maintenance. A method may include receiving operation data associated with one or more injection systems, wherein the operation data includes one or more operation parameters associated with one or more operations of the one or more injection systems: determining one or more prediction scores for the one or more injection systems based on the operation data, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems; and providing maintenance data associated with the one or more operation failures or misuses, wherein the maintenance data is based on the one or more prediction scores.

Abstract: A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

Abstract: A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

Abstract: A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

Abstract: A system for securely accessing a fluid injection system is disclosed. The system includes at least one processor programmed or configured to authenticate a user for access to an fluid injection system, provide data identifying one or more features of a software application for accessing the fluid injection system, receive data identifying a selected feature of the software application for accessing the fluid injection system, and provide access to the selected feature of the software application for accessing the fluid injection system.

Abstract: A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

Abstract: A method, system, and computer program product for predictive maintenance. A method may include receiving operation data associated with one or more injection systems, wherein the operation data includes one or more operation parameters associated with one or more operations of the one or more injection systems: determining one or more prediction scores for the one or more injection systems based on the operation data, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems; and providing maintenance data associated with the one or more operation failures or misuses, wherein the maintenance data is based on the one or more prediction scores.

Abstract: A method, system, and computer program product for predictive maintenance. A method may include receiving operation data associated with one or more injection systems, wherein the operation data includes one or more operation parameters associated with one or more operations of the one or more injection systems; determining one or more prediction scores for the one or more injection systems based on the operation data, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems; and providing maintenance data associated with the one or more operation failures or misuses, wherein the maintenance data is based on the one or more prediction scores.

Abstract: A method, system, and computer program product for predictive maintenance. A method may include receiving operation data associated with one or more injection systems, wherein the operation data includes one or more operation parameters associated with one or more operations of the one or more injection systems; determining one or more prediction scores for the one or more injection systems based on the operation data, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems; and providing maintenance data associated with the one or more operation failures or misuses, wherein the maintenance data is based on the one or more prediction scores.

Abstract: Provided is a method of creating a record in a reference table contained in a database associated with a medical system. The method includes obtaining a new record barcode which includes pharmaceutical information embedded therein. The pharmaceutical information may include a pharmaceutical identifier and at least one of a pharmaceutical concentration, a pharmaceutical volume, a pharmaceutical expiration date, and a pharmaceutical lot and batch number. The method further includes scanning the new record barcode using a barcode reader associated with the medical system. Upon scanning the new record barcode, a processor associated with the database creates a reference table record in the reference table and populates the reference table record with the pharmaceutical information. Also provided is a system for implementing the above-described method.

Abstract: A method. The method includes, at a computing system, receiving information associated with an asset. The method also includes determining a location of the asset based on the received information, and determining a status of the asset based on the received information and/or the determined location of the asset. The determining of the location and the determining of the status are performed by the computing system.

Abstract: A method. The method includes, at a computing system, receiving information associated with an asset. The method also includes determining a location of the asset based on the received information, and determining a status of the asset based on the received information and/or the determined location of the asset. The determining of the location and the determining of the status are performed by the computing system.

Abstract: Systems, methods and devices for the automated retrieval/delivery of goods from one location to another using a robotic device such as a tug and accompanying cart. A computer within the tug/cart stores a map of the building floor plan and intended paths for the tug to take when traversing from one location to the next. During the delivery, a variety of different sensors and scanners gather data that is used to avoid obstacles and/or continuously adjust the movement of the tug in order to more closely follow the intended path. The system preferably includes wireless networks that allow one or more tugs to communicate with a tug base station, a primary network located at the site of the delivery and a remote host center that monitors the status and data collected by the tugs.

Abstract: Systems, methods and devices for the automated delivery of goods form one to another using a robotic tug and accompanying cart. A computer within the tug or cart stores an electronic map of the building floor plan and intended paths for the tug to take when traversing from one location to the next. During the delivery, a variety of different sensors and scanners gather data that is used to avoid obstacles and/or adjust the movement of the tug in order to more closely follow the intended path. The system preferably includes both wired and wireless networks that allow one or more tugs to communicate with a tug base station, a primary network located at the site of the delivery and a remote host center that monitors the status and data collected by the tugs.