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184 results about "Medical documents" patented technology

Medical documentation. A term relating to a patient care or medical record. Typically, medical documentation consists of operative notes, progress notes, physician orders, physician certification, physical therapy notes, ER records, or other notes and/or written documents; it may include ECG/EKG, tracings, images, X-rays, videotapes and other media.

Isomerization clinical medical information shared system and method

InactiveCN101452503AExpand coverageThe description is close to the real situationSpecial data processing applicationsIsomerizationDocument preparation
The invention discloses a system and a method for sharing isomerous clinic medical information. The system comprises a terminology module, a document template generating module, a document management module and a database for storing clinic data, wherein the terminology module, the document template generating module, the document management module and the database are connected with each other in turn; the terminology module is used for normalizing terminologies used in shared documents; the document template generating module is used for defining composition elements of standard clinic data documents and relations between various elements, automatically generating a document template, and collecting and managing metadata; and the document management module is used for managing the documents, wherein users manage the medical documents through the document management module, and perform input, correction and query operations and transmission and sharing of the documents. The system and the method realize automatic generation of the standard clinic documents through a clinic data dictionary and a standard document generation device, and finally establish a complete clinic document database through mapping to manage and share the standard clinic documents.
Owner:SHANGHAI CENT FOR BIOINFORMATION TECH

Medical cloud platform data sharing system and method based on third-party service

ActiveCN108648786ASolve the analysis and interpretation of massive vital signs dataSolve storage difficultiesMedical communicationMedical automated diagnosisMedical documentsUser defined
The invention relates to a medical cloud platform data sharing system and method based on third-party service, belonging to the medical cloud platform field. The system comprises: a terminal device and a cloud platform; the cloud platform receives massive vital sign data sent by the terminal device, applies a deep learning framework of distributed parallel computing to analyze and process the massive vital signs data, screens abnormal data, sends abnormal event early warning to users and prompts medical personnel to quickly perform intervene; and the terminal device sends a command to the cloud platform, wherein the command comprises a user-defined term setting command, a real-time data service command, a data transfer command, a medical document service command, a consultation service command, a medical cooperation information publishing command, a data analysis statistics command, a patient state assessment command, a data analysis report management command and a medical tool libraryquery command, and the terminal device obtains the support of the third-party service. The medical cloud platform data sharing system and method based on third-party service improve the medical quality and the working efficiency of users and reduce the labor intensity and the work pressure of the medical workers.
Owner:山东术木医疗科技有限公司

Automatic labeling method for professional vocabularies of medical documents

The invention relates to an automatic labeling method for professional vocabularies of medical documents. which comprises the following steps: carrying out data preprocessing on an input medical document to obtain a preprocessed medical document text; obtaining and fusing the letter-level feature vectors, the word-level feature vectors and the language feature vectors of the words to serve as encoding vectors of the words; word annotations of the medical document text after word segmentation are classified to obtain an annotated data set; outputting a multi-dimensional vector for each word asa spatial representation of the word; obtaining an enhanced annotation data set; and performing training modeling, and finally outputting a marking result. method in design. A semi-supervised learning algorithm is adopted to label a large amount of unlabeled data so that the defect that the existing medical industry is too few in labeled data is successfully overcome. The amount of data capable of being used by the model is effectively increased. The labeling accuracy of the algorithm on keywords and professional vocabularies is greatly improved and the method can be widely applied to medicalliterature processing.
Owner:TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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