Abstract: An automated computer implemented method is provided to receive images and metadata from an acquisition device; parse the received metadata into data entities based on a standardized ontology; automatically write a data acquisition record into an acquisition side database that includes protected information; format the received images into a standardized image format, the image format including a set of information necessary to visualize and quantify the image; store the formatted images on a recording medium; populate a storage record into a storage side database that is free of protected information; and link information on the acquisition side database and the storage side database using a unique code.

Abstract: An application programming interface (API) resident on a computer is provided that, upon receiving a message that a data set associated with an encounter experienced by a subject is available, causes a processor to read a structured file associated with the data set, the structured file having a set of records assigned to a subset of pre-defined fields and a location of one or more unstructured objects, the pre-defined fields being organized according to an ontology having at least records related to the subject, the encounter and the data set; and populate at least first and second independent and distinct relational databases using endpoints of the API. The first relational database excludes records associated with the subject and the encounter and the second relational database includes records associated with the subject and the encounter. The second relational database includes multiple tables that can be accessed by invoking the API.

Abstract: Disclosed herein is configurable medical data processing workflow, including a set of configurable processing operations that can be applied to medical imaging data. The operations can be configured based on user-defined criteria, such as selecting predefined operations, adjusting parameters, or defining custom tasks. The medical data processing workflow can facilitate the execution of automated and/or operator-assisted tasks, each resulting in a transformation or annotation of the medical data. Records can be generated for each task, including unique identifiers and operation details. A traceability report can be generated, documenting all operations performed, enabling verification and traceability of the data processing path, supporting data integrity and compliance.

Abstract: A system for training and deployment of automated image segmentation algorithms is provided.

Abstract: An application programming interface (API) resident on a computer is provided that, upon receiving a message that a data set associated with an encounter experienced by a subject is available, causes a processor to read a structured file associated with the data set, the structured file having a set of records assigned to a subset of pre-defined fields and a location of one or more unstructured objects, the pre-defined fields being organized according to an ontology having at least records related to the subject, the encounter and the data set; and populate at least first and second independent and distinct relational databases using endpoints of the API. The first relational database excludes records associated with the subject and the encounter and the second relational database includes records associated with the subject and the encounter. The second relational database includes multiple tables that can be accessed by invoking the API.