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2 results about "Pathology Report" patented technology
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A report that provides a description of the gross and microscopic examination of the specimen and is used to make a diagnosis and to determine treatment. It defines which structures and organs of the body are involved by the tumor, verifies the primary site of the cancer and describes the extent to which it has spread.
A WSI Pathology Report Management System Based on OFD-H
PendingCN122091063Aimprove accuracyimprove structural qualityImage analysisText processingData storePathology reporting
This invention provides a management system for WSI pathology reports based on OFD-H. It includes a presentation layer, a business layer, a data storage layer, and a standard interface for interoperability with third-party medical systems. The presentation layer includes an editor for editing OFD reports and a WSI image reader capable of coordinate backtracking of WSI images. The business layer includes: module one for automatically generating pathology image heatmaps and textual diagnostic suggestions; module two for OFD format container encapsulation; module three for three-level streaming image backtracking; and module four for adding digital signatures and watermarks. The data storage layer is used for hierarchical storage of WSI files, ROI images, and OFD documents to meet the retrieval needs of massive multimodal data. This invention can achieve "intelligent assisted generation" of reports, "two-way interoperability" between text and images, "lightweight encapsulation" of data, and "compliant traceability" of documents.
Owner:ANHUI NORMAL UNIV
A method and system for intelligent coding review and automated data entry of medical records
This invention discloses a method and system for intelligent coding review and automated data entry of medical records, relating to the field of data processing technology. The method acquires structured data from the electronic medical record system, including the patient's discharge diagnosis, treatment process, pathology report, medication records, and cost information, through multi-source acquisition. The data is then classified and preprocessed according to medical record type. A pre-trained natural language processing model analyzes the text data in the medical record homepage to understand the doctor's diagnostic descriptions and treatment process. Combined with a constructed coding rule base and knowledge graph, a recommended coding list and anomaly alerts are output through rule mapping and reasoning. A human-machine collaboration mechanism is established to automatically enter the reviewed medical record coding data into the medical record management system. This solves the problems of excessive reliance on manual operation, insufficient coding accuracy, and low efficiency in existing medical record coding review methods, forming a precise medical record coding working mode based on human-machine collaboration.
Owner:JIANGSU CANCER HOSPITAL