Abstract: Techniques of facilitating processing of at least one DICOM SC image—e.g., using a PC or workstation in a hospital or an institution—to automatically extract clinical data therein are provided. Characters associated with the clinical data are extracted from the at least one DICOM SC image based on configuration information associated with the at least one DICOM SC image, which configuration information is obtained based on the at least one DICOM SC image.

Abstract: A control layer automation device comprises a processor, one or more control layer applications, a database, a wireless interface, a device memory. Each control layer application is configured to perform a discrete set of automation functions. The database comprises a plurality of operator device identifiers and the wireless interface allows the one or more control layer applications to communicate with a plurality of operator devices via the plurality of operator device identifiers. The device memory comprises the one or more control layer applications. The control layer application manager is configured to manage execution of the one or more control layer applications on the processor.

Abstract: A computer-implemented method for automatically generating metadata tags for a medical image includes receiving a medical image and automatically identifying a set of body landmarks in the medical image using one or more machine learning models. A set of rules are applied to the set of body landmarks to identify anatomical objects present in the image. As an alternative to using the set of rules, in some embodiments, one or more machine learning models to the set of body landmarks to identify anatomical objects present in the image. Once the anatomical objects are identified, metadata tags corresponding to the anatomical objects are generated and stored in the medical image. Then, the medical image with the metadata tags is transferred to a data repository.

Abstract: For anonym izing or other keyword identification medical patient data, a conditional random field sequence classifier is used for the NER model for NLP, providing a technical solution to help the computer perform better at identifying PHI from context and reduce manual anonym ization efforts of medical reports. One tool or executable integrates report format conversion, annotation, training, and application. These operations may be selected, or the tool configured for anonymization or keyword identification. Different files from each stage may be exported or used by others operating on other computers, allowing collaboration or sequential burden sharing for anonym ization.

Abstract: A computer-implemented method for automatically generating metadata tags for a medical image includes receiving a medical image and automatically identifying a set of body landmarks in the medical image using one or more machine learning models. A set of rules are applied to the set of body landmarks to identify anatomical objects present in the image. As an alternative to using the set of rules, in some embodiments, one or more machine learning models to the set of body landmarks to identify anatomical objects present in the image. Once the anatomical objects are identified, metadata tags corresponding to the anatomical objects are generated and stored in the medical image. Then, the medical image with the metadata tags is transferred to a data repository.

Abstract: A control layer automation device comprises a processor, one or more control layer applications, a database, a wireless interface, a device memory. Each control layer application is configured to perform a discrete set of automation functions. The database comprises a plurality of operator device identifiers and the wireless interface allows the one or more control layer applications to communicate with a plurality of operator devices via the plurality of operator device identifiers. The device memory comprises the one or more control layer applications. The control layer application manager is configured to manage execution of the one or more control layer applications on the processor.

Abstract: An automation management system is deployed and operates on a plurality of network devices in a network in a distributed manner. The plurality of network devices may comprise a plurality of routers, for example. Automation management services are deployed and operate on the network devices in accordance with a service-oriented architecture model. At least one of the services may comprise a first instance of the service deployed on a first network device and a second instance of the service deployed on a second network device. Methods for deploying and operating an automation management system on a plurality of network devices in a network are also provided.

Abstract: An automation management system is deployed and operates on a plurality of network devices in a network in a distributed manner. The plurality of network devices may comprise a plurality of routers, for example. Automation management services are deployed and operate on the network devices in accordance with a service-oriented architecture model. At least one of the services may comprise a first instance of the service deployed on a first network device and a second instance of the service deployed on a second network device. Methods for deploying and operating an automation management system on a plurality of network devices in a network are also provided.

Abstract: A change management system and method is disclosed. The change management system maintains an integrated database. The integrated database includes a change management database that stores a collaborative project and information related to changes to the collaborative project, a knowledge database that stores information sources to help a user resolve a change request, and an incentive accounts database that stores incentive accounts associated with users of the change management system. The change management system also includes a search engine to search the integrated database for information related to a change request, and an interactive social network interface for accessing experts over an interactive social network. This change management system provides an integrated knowledge management system, support and management of peer interactions over a social network, and an incentive component to encourage productive collaborations.