Abstract: A computer-implemented runtime system is operable of providing a continuous product execution runtime environment for an application via a healthcare network. The system includes a focus machine and an action plan repository, to provide an autonomous runtime environment by at least: monitoring a running use case of at least one application on at least one device; taking over responsibility of a running use case of the at least one application, upon an error state being detected for the monitored running use case; analyzing the error state of the running use case detected; obtaining at least one suitable substitution action out of a plurality of actions deposited in the action plan repository, based on the error state of the running use case analyzed; and terminating and completing at least a part of the running use case, by employing the at least one substitution actions obtained, on the at least one application.

Abstract: One or more example embodiments of the present invention relates to methods and apparatuses for providing a medical report in a medical network having a front-end computing facility and a back-end computing facility.

Abstract: A method, an improvement node, a system and a computer program for computing an improvement result for a runtime environment of at least one application, on a device in a medical context. An embodiment of the method includes detecting a state of the runtime environment on the device; accessing a database with the state detected, to retrieve a corresponding at least one candidate improvement result; using the at least one candidate improvement result retrieved, for test-wise execution on a test infrastructure in which the state of the runtime environment detected is provided identically; measuring improvement parameters of the test-wise execution; and adding, upon the improvement parameters measured meeting defined requirements, candidate improvement results, of the at least one corresponding candidate improvement result retrieved, for which the improvement parameters measured meet defined requirements.

Abstract: A method, an improvement evaluation system and a computer readable medium are usable for automatically calculating an improvement evaluation result for operating a set of registered applications. Each of the set of registered applications of the system includes a declaration interface, adapted for providing a self-declaration by way of a formula, indicating whether the application is operated under pre-defined success conditions; and a collector, adapted for collecting measurement data during runtime to be introduced in the formula. The system further includes a network for transferring the formula to an evaluation unit for evaluation; and a result interface for providing an improvement evaluation result, reflecting an improvement potential for the respective application to be operated in the set of applications.

Abstract: A computer-implemented runtime system is operable of providing a continuous product execution runtime environment for an application via a healthcare network. The system includes a focus machine and an action plan repository, to provide an autonomous runtime environment by at least: monitoring a running use case of at least one application on at least one device; taking over responsibility of a running use case of the at least one application, upon an error state being detected for the monitored running use case; analyzing the error state of the running use case detected; obtaining at least one suitable substitution action out of a plurality of actions deposited in the action plan repository, based on the error state of the running use case analyzed; and terminating and completing at least a part of the running use case, by employing the at least one substitution actions obtained, on the at least one application.

Abstract: A computer-implemented system to facilitate access to a plurality of automated applications via a healthcare network including a plurality of devices The system is configured to maintain a first association between each of the plurality of automated applications and at least one defined input; and for each of the at least one defined input, a second association between the predefined input and a corresponding action. Responsive to receipt of a first defined input from a first device, the system identifies, based on the first association, at least one automated application. Further, the system triggers, based on the second association, at least one of the identified automated application to perform the action corresponding to the first defined input in order to process medical information associated with the first defined input; and causes at least one of the identified automated application to communicate information relating to the action to the first device.

Abstract: Measurement results are acquired by a number of medical imaging systems in each case using a respective measurement protocol and by applying a respective dose. Data records are automatically placed in a cloud by the systems or a PACS connected to the respective system. Measurement protocols, applied doses, and anonymized images of the data records are referenced among each other. The data records placed in the cloud are assigned the respective examination type and an identification of the respective system and/or an identification of the type of respective system. The cloud accepts data queries from users. The data queries as a search criterion specify at least the examination type, the identification of the respective system, and/or the identification of the type of the respective system. The data records are determined by the cloud in accordance with the respective data query and are made available to the respective user.

Abstract: A system and method for negotiating between a business intelligence application and one or more data sources. Business data from devices is received, identified and stored using a data meta model that is updated as devices and the hospital environment change. The data meta model allows the business intelligence application to negotiate with the hospital data sources to access relevant data for evaluations. The data meta model includes an object model that is configurable, updatable, adaptable, and evolvable over time.

Abstract: According to one example embodiment, a remote server includes a memory configured to store computer-readable instructions, and a processor. The processor is configured to execute the computer-readable instructions for installing a medical application at a target destination by determining a deployment configuration of the target destination, determining whether to transform the medical application prior to installing the medical application at the target destination based on the determined deployment configuration of the target destination, and deploying at least one of the medical application or a transformed version of the medical application to the target destination.

Abstract: A system for creating software applications and for operating these software applications on a plurality of different devices is provided. The system includes a number of functional units that may be repeatedly instantiated in the same application or in different applications, wherein each functional unit defines a delimited user interface (UI) area of a graphical user interface. Each functional unit has a specific part and a generic part. In this case, the specific part defines a number of UI elements having a predefined set of UI state variables. The generic part is set up to transform the values of the UI state variables into a device-independent and application-independent form and to export the values in this form as a state data record and to import such a state data record and to allocate the values contained therein to the UI state variables of the UI elements.

Abstract: A system and method for optimizing preprocessing of medical images. Preprocessing is triggered by receiving scan results and a scan protocol without input from a reading room or user interface. The preprocessing tasks are optimized through use of matching scan protocols to sets of possible preprocessing tasks. The execution of the preprocessing tasks is optimized through use of feedback from the reading room.

Abstract: A method, an improvement evaluation system and a computer readable medium are usable for automatically calculating an improvement evaluation result for operating a set of registered applications. Each of the set of registered applications of the system includes a declaration interface, adapted for providing a self-declaration by way of a formula, indicating whether the application is operated under pre-defined success conditions; and a collector, adapted for collecting measurement data during runtime to be introduced in the formula. The system further includes a network for transferring the formula to an evaluation unit for evaluation; and a result interface for providing an improvement evaluation result, reflecting an improvement potential for the respective application to be operated in the set of applications.

Abstract: A method for relocating medical data in a computer network having a plurality of storage nodes connected via data transfer channels is provided. Technical conditions for relocating the medical data from a first storage node to a second storage node are determined. A relocation of the medical data is decided based on the technical conditions and a predetermined relocation plan. The medical data is automatically relocated from the first storage node to the second storage node via the transfer channel when a relocation of the medical data is decided.

Abstract: A data harmonization system including a data harmonization server; and one or more client devices configured to communicate with the data harmonization server. The one or more client devices may have a processor configured to transform, using a template, medical data having a first format to transformed medical data having a second format, determine whether the transformed medical data is harmonized medical data or un-harmonized medical data based on the transformed medical data and a medical imaging standard, and send the transformed medical data to a data harmonization server, if the processor determines that the medical data is un-harmonized medical data. The medical data may have a vendor specific dialect of the medical imaging standard and the harmonized medical data may have a generic version of the medical imaging standard.

Abstract: A method, an improvement node, a system and a computer program for computing an improvement result for a runtime environment of at least one application, on a device in a medical context. An embodiment of the method includes detecting a state of the runtime environment on the device; accessing a database with the state detected, to retrieve a corresponding at least one candidate improvement result; using the at least one candidate improvement result retrieved, for test-wise execution on a test infrastructure in which the state of the runtime environment detected is provided identically; measuring improvement parameters of the test-wise execution; and adding, upon the improvement parameters measured meeting defined requirements, candidate improvement results, of the at least one corresponding candidate improvement result retrieved, for which the improvement parameters measured meet defined requirements.

Abstract: A computer-implemented system to facilitate access to a plurality of automated applications via a healthcare network including a plurality of devices The system is configured to maintain a first association between each of the plurality of automated applications and at least one defined input; and for each of the at least one defined input, a second association between the predefined input and a corresponding action. Responsive to receipt of a first defined input from a first device, the system identifies, based on the first association, at least one automated application. Further, the system triggers, based on the second association, at least one of the identified automated application to perform the action corresponding to the first defined input in order to process medical information associated with the first defined input; and causes at least one of the identified automated application to communicate information relating to the action to the first device.

Abstract: The present embodiments relate to a method for transmitting medical data records. The method includes receiving a patient data record from an internal data storage unit, selecting an anonymization setting from a set of predetermined anonymization settings, generating an anonymized patient data record on the basis of the selected anonymization setting or rule, and transmitting the anonymized patient data record to an external data storage unit.

Abstract: A method is disclosed for providing a failure parameter. In an embodiment, the method includes receiving a medical data record by a first application module; determining a failure record by the first application module, upon the medical data record being non-processable by the first application module, the failure record being based on the data record; transmitting the failure record from the first application module to a failure analysis module; saving the failure record in a failure database by the failure analysis module; determining a failure parameter by the failure analysis module, the failure parameter being based on a statistical analysis of the failure database; and providing the failure parameter by the failure analysis module.

Abstract: For effective joint evaluation of a medical image dataset on a first data processing device and at least one second data processing device that is connected to the first data processing device via a data transmission network, a first application is performed in the first data processing device, and a second application is performed in the second data processing device. Each of the applications has a respective graphical user interface having at least one segment for display of a view of the image dataset. An image processing pipeline is associated with each segment for deriving the view from the image dataset. Partially processed data of the image dataset is decoupled from the image processing pipeline of the segment of the first application, is transferred to the second application, and there is coupled to the image processing pipeline of the segment of the second application for preparing the view.

Abstract: A computing device accepts an examination task to be carried out by a medical imaging device from an operator. An implementation of the examination task to be realized is accepted and assigned to the examination task. Based upon the data typifying the person to be examined and data defining the type of examination of the examination task, it then establishes possible implementations of the examination task. The database contains data typifying the person, broken down according to the person to be examined, type of examination, medical imaging device and settings of the medical imaging device, a medical technology assessment of the respective examination and a commercial assessment of the respective examination. It specifies the established possible implementations together with the two for selection. Based upon the implementation to be realized, a flowchart is updated so that the flowchart contains what is now the examination task and the assigned implementation.