163results about "Medical data management" patented technology

Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of disparate data sources, indexing the data, and mapping the data. Embodiments transform raw data into relevant data through the use of natural language processing, synonymy and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a one record that includes information necessary to understand and represent that patient.

A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

A method for producing a custom resection jig for a current patient scheduled to receive total knee arthroplasty using outcomes analysis comprising the steps of maintaining a database on a computer system of (1) prior patient bone morphology, (2) along with anatomical and mechanical bone alignment data and (3) data defining a custom resection jig design with a generally transverse resection window operable to guide a surgeon's transverse bone cut for prior patients that have received total knee arthroplasty and a post-surgery medically recognized scoring register greater or equal to a predetermined highly successful score value for a total knee arthroplasty procedure using prior success data to guide production of a current patient custom jig resection windows.

A method, system, and computer program product for storing and retrieving patient data in a database connected to a network is disclosed. The method, system, and computer program product comprises storing clinical data in the database, extracting data from the clinical data, querying the database using a taxonomy that includes inclusive or exclusive search criterion, and receiving a result set. The method, system, and computer program product comprises creating a taxonomy that includes at least one search criterion, sending a query to the database, the query including said at least one search criteria, receiving the result set in response to the query, the result set including at least one result record, and displaying said at least one result record. The method, system, and computer program product can further include a user such as a clinical researcher, a treating physician, or a consulting physician analyzing the result set.

An interactive and intelligent user interface for inputting a query, generating a query result including one or more matching concepts stored in a knowledgebase of one or more media types, and presenting the user with a rich personalized query result based on the user's preferences and personal information, and provides improved relevant search results.

Systems and methods are provided for calculating athletic activity parameters. Multiple housings are position at different locations on a user's body. The housings are configured to be removably engaged with an electronic module that includes a sensor and a processor configured to calculate athletic activity parameters. Each housing is connected to or includes an identification memory that stores information identifying a location of the housing. The electronic module uses the location information to select an algorithm to use when calculating the athletic activity parameters.

A system for extracting relations between measurements within an unstructured text and ontology concepts of at least one domain ontology stored in a domain ontology database is provided. The system includes an annotation unit adapted to process sentences of the unstructured text to derive tokens and measurements within the sentences. The derived tokens are annotated with ontology concepts mapped to the tokens. The system also includes a concept analyzing unit adapted to analyze, for each annotated sentence including at least one derived measurement, the annotated ontology concepts mapped to the derived tokens of the sentence to identify the ontology concepts related to the at least one derived measurement and to rank the identified related ontology concepts according to calculated relation strengths of the relations between the identified related ontology concepts and the respective measurement of the annotated sentence.

The invention provides a templated integration system and method for medical information system data and relates to the technical field of medical industry data integration. During the process of medical information system data integration, combined with target data standards and aimed at medical information system features (including manufacturers and versions, etc.), a reusable medical information system data integration template is established so as to realize data integration of different medical information systems (such as HIS, LIS, RIS, EMR,PEIS, etc.) Through solidification of special data set and the data conversion rules thereof, a reusable template for a certain medical information system during the process of multiple medical institution data integration is formed; at the same time, the different system templated integration process will enhance the adaptability of the template; a positive correlation between the reuse rate and completeness of the template is established; depending on the continuously improved and optimized template library resource, the implementation difficulty can be effectively reduced, the data integration efficiency can be increased, and the efficient and high quality development of medical information system integration programs is guaranteed.

The invention relates to a system for implementing coronary heart disease post-diagnosis management. The system includes a patient terminal, a doctor terminal, and a post-diagnosis management platform; the patient terminal is used for displaying post-diagnosis management patient end software; the doctor terminal is used for displaying post-diagnosis management doctor end software; the post-diagnosis management platform includes a patient information management module, a doctor information management module, and a clinic event management module which is used for receiving a clinic event uploaded by the patient terminal and sending the clinic event to a corresponding doctor user, and receiving illness state processing information sent by the doctor terminal and sending the illness state processing information to a corresponding patient user. The system can achieve coronary heart disease post-diagnosis management, facilitates uploading of coronary heart disease clinic events of a patient, diagnosis of a doctor, follow-up information management, and doctor assistance, and has a wide application range.

The invention discloses a method and a system for automatically establishing a medical term mapping relationship based on word segmentation and coding. The method comprises establishing the mapping relationship between terms of a dictionary A and terms of a dictionary B, and specifically comprising the steps of 1, dividing each sample term into a main field and an attribute field; 2, establishing a main field table by the main fields and codes obtained in the step 1, and establishing a word segmentation dictionary by common Chinese characters and the attribute fields; 3, performing Chinese word segmentation on words in the main field table; 4, performing Chinese word segmentation on the terms of the dictionary A; 5, computing correlation degree between the main field of each sample term and the main field of the corresponding term of the dictionary A; 6, matching and coding the main fields of the sample terms and the main fields of the terms of the dictionary A according to the correlation degrees; and 7, coding the main fields of the terms of the dictionary B, and establishing the mapping relationships aiming at the terms, with the same main field codes, of the dictionary A and the dictionary B. According to the method, the problem that the manual term mapping efficiency is low thus medical information is difficult to be shared is solved.

The invention provides a method and system for regional medical treatment-orientated data sharing. The method comprises the following steps that: the client of an application layer initiates a service query request or a service storage request; a service layer obtains the query request, and determines a data service system and an address corresponding to the data of the query request; or the service layer obtains the storage request, and allocates an address stored in a database to the storage request; the client queries or stores the data of the service request from a relational database or a non-relational database in the data layer according to the address. The system comprises the data layer containing the relational database and the non-relational database, the service layer containing at least one data service system and a data service centre node, and the application layer connected with the service layer. The technical scheme is capable of supporting storage and access for all medical treatment data, and providing a cross-language, cross-platform, cross-terminal, high-stability and high-reliability data sharing service.

In accordance with the principles of the present invention, an electronic medical record system is provided. A clinical web server connects to at least two information technology systems and providing real time exchange of data between existing databases. The clinical web server translates and maps existing databases into a common data structure format. A message to be transmitted is generated. Routing type and formatting routing are determined based on recipient delivery requirements. The message is parsed into segments and fields. The appropriate party to whom the message is directed is determined. Identifiers in the message are translated from a sender's value to a recipient's value. The message is translated from a sender's format to a recipient's format.

Methods and apparatuses for generating insights for improving a health organization from unstructured and structured data. Natural language processing is employed to process the aggregated data from various data sources to create attributes and contributors. The attributes and weighted contributors are processed with business rules and / or compliance rules to form the insights.

The invention provides a method and device for data standardization processing of medical big data and relates to the technical field of medical entity identification. The method comprises the steps that a first group of candidate entities of a to-be-processed statement is determined according to an entity mark sequence of the to-be-processed statement; word extraction is conducted to the to-be-processed statement according to a preset medical noumenon term word extraction strategy, so a second group of candidate entities can be determined; entities in the to-be-processed statement are determined from the first group of candidate entities and the second group of candidate entities; screening is conducted according to preset syntactic analysis and screening rules, so a candidate standardization term in the to-be-be-processed statement can be determined; if the candidate standardization term in the to-be-processed statement can match a preset medical noumenon term library, the candidate standardization term in the to-be-processed statement can be determined as the standardization term; and if the matching fails, a matching failure problem report will be generated, or fuzzy matching will be conducted to the candidate standardization term which is not matched and belongs to a disease term type, so the standardization term can be determined.

A computer system and related method for analysis of medical symptoms on a body of a living being is provided. The system comprises a first portion of computer readable medium which stores digital representation of a plurality of tissue layers in the body. The system also includes a processor unit and a second portion of computer readable medium. The second portion of the computer readable medium stores instructions executable by the processor unit to perform the steps of displaying at least one tissue layer from the plurality of the tissue layers on a display device, receiving a first input indicating a locale on the displayed at least one tissue layer, receiving a second input associating a medical symptom description to the indicated locale, and including information about the medical symptom description and the associated locale in the digital representation of the body. Related methods are also provided.

The invention discloses a system and method for constructing three object naming tree network evaluation model based on traditional Chinese medicine big data. According to the system and method, electronic computerization processing can be accurately conducted on comprehensive data of hospitals of traditional Chinese medicine, administrative offices of traditional Chinese medicine of the hospitals and doctors of traditional Chinese medicine so as to obtain timely and accurate classified evaluation flag data. The constructing system comprises an information collecting module, an influence calculating module and a grade statistics module, wherein the information collecting module, the influence calculating module and the grade statistics module are connected through networks; the information collecting module is used for obtaining information of the hospitals of traditional Chinese medicine which is generated and recorded by the hospitals of traditional Chinese medicine during the operating process; the influence calculating module is used for conducting data analysis on various data in the information of the hospitals of traditional Chinese medicine so as to determine influence factors and obtain the weighted value of each influence factor relative to each preset evaluation classification; the grade statistics module is used for conducting statistics on the weighted value of the influence factor data which corresponds to each preset evaluation classification and obtaining classification grade and comprehensive grade data of the doctors of traditional Chinese medicine, the administrative offices of traditional Chinese medicine of the hospitals and the hospitals of traditional Chinese medicine.

The invention relates to a traditional Chinese medicine clinical digital evaluation system.The system includes five first-grade indexes including a clinical treatment effect index, a preponderant disease index, a traditional Chinese medicine diagnosis and treatment method index, a work attitude index and a workload index.The ability of a doctor can be graded and analyzed through the big data analysis technology on the basis of the traditional Chinese medicine clinical digital evaluation system.Evaluation is conducted layer upon layer from sub-index evaluation to comprehensive evaluation, internal evaluation and external evaluation are organically combined, and clinical treatment effects, preponderant disease categories, traditional Chinese medicine diagnosis and treatment methods and work efficiency and work attitude of doctors are comprehensively analyzed.By means of the big data processing technology, the indexes are subjected to detailed weight calculation to obtain a data conclusion with bases, and accordingly work ability and level of traditional Chinese medicine doctors are scientifically evaluated.

The invention discloses a spatial time sequence data stream application-based Skyline query method, belongs to the field of application of a dynamic Skyline query in a data stream, and aims to solve the problem in real-time query processing of massive data. According to the technical key points, the method comprises the steps of S1, segmenting a continuous time sequence into a plurality of time slices according to time windows based on spatial time sequence division; S2, for each time slice, generating a grid inverted index; and S3, mapping moment query points to corresponding Skyline grids, then obtaining global Skyline grids by using a global Skyline grid calculation method to serve as a candidate set, performing the dynamic Skyline query on network node data in the candidate set according to a time sequence, and performing calculation to obtain an effective global Skyline result. The method has the effects that the result query is performed at a moment when executive time is over, so that the result is more accurate and conforms to the actual condition.

A user interface including a touch-sensitive display unit that has a display area and is configured to show a medical image and a user-selectable element on the display area. The display unit is configured to detect an operator touch and detect a location of the operator touch in the display area. The user-selectable element includes an activating portion and a location indicator. The display unit is configured to move the user-selectable element along the medical image as directed by the operator when the activating portion is touched. The location indicator and the activating portion have fixed positions with respect to each other as the user-selectable element is moved along the display area. The user-selectable element is configured to operate in an activated state and in an inactivated state. The user-selectable element configured to modify the medical image when in the activated state.

The invention discloses application of a Ros distribution system structure in the medical care field. The Ros distribution system structure comprises an individual terminal and a hospital terminal, wherein the individual terminal and the hospital terminal are connected through a server; the hospital terminal comprises a plurality of hospitals; a plurality of wards are arranged in the hospitals, and a plurality of terminal robots are arranged in the wards; and the terminal robots are connected with PCs in the hospitals. The application of the Ros distribution system structure in the medical care field is superior to other traditional system structures in the fields of information resource sharing, scalability, low cost, simple operation and the like.

The present invention discloses a method for automatically extracting a Traditional Chinese Medicine (TCM) acupuncture entity relationship. The method comprises the following steps: step 1), defining a TCM acupuncture naming entity and entity relationship type system; step 2), constructing a TCM acupuncture entity relationship corpus; Step 3), constructing a TCM acupuncture entity relationship feature template; Step 4), constructing a TCM acupuncture entity relationship instance vectorization module; and Step 5), training and assessing a TCM acupuncture entity relationship classification model. According to the technical scheme of the present invention, a TCM acupuncture entity relationship extraction model is constructed according to features of TCM acupuncture documents. The model completes the task of extracting a TCM acupuncture entity relationship from the TCM acupuncture documents well. F values of DM, HM, AM and DRM entity relationship classification models reach 93.25%, 87.19%, 86.57% and 84.57%, respectively, and a blank in relevant study is filled.

The invention discloses a Skyline inquiring system based on space timing sequence dataflow application, belongs to the application field of dynamic Skyline inquiry in a dataflow, and is used for solving the real-time inquiring processing problem of mass data. Through the technical key points, the Skyline inquiring system comprises a cloud center service system; the cloud center service system comprises a partitioning module, an inverted gridding index generation module and a calculation module, wherein the partitioning module is used for partitioning continuous time timing sequences into a plurality of time slices according to time windows based on space timing sequence partitioning; the inverted gridding index generation module is used for generating gridding inverted indexes for each time slice; and the calculation module is used for mapping moment inquiring points into corresponding Skyline griddings, then using a global Skyline gridding calculation method to obtain global Skyline griddings as a candidate set, then carrying out dynamic Skyline inquiring according to time sequence on network node data in the candidate set, and calculating to obtain an effective global Skyline result. The system has the effects that result inquiring is carried out at the moment that the execution time is ended, so that the system accords with the practical situation more accurately.

The invention relates to a patient multimedia data control method and device. The method comprises the steps of receiving a control instruction; if the control instruction is a first instruction, acquiring medical information of a patient from a specified hospital information system and displaying the medical information of the patient via a display device; if the control instruction is a second instruction, driving a collection device to acquire audio / video image data and patient operation data of medical apparatuses in a specified operating room in real time and, according to a time sequence of operation processes, correlating the audio / video image data and the patient operation data correspondingly and storing the audio / video image data and patient operation data in a storage device to make the display device display the correlated audio / video image data and patient operation data on the same interface synchronously. The method and the device solve the problems that preoperative, intraoperative and postoperative data cannot be digitalized.

The invention discloses a data exchange method applied to a hospital information system. The data exchange method applied to a hospital information system comprises the following steps: configuring the running environment of the data conversion platform; establishing the router connecting the source sending system and the target system; and deploying the router to the data conversion platform. According to the invention, the data standard and data protocol of the source sending system are converted into the data standard and protocol corresponding to the target system by means of coding and multithreading technology; therefore, the data exchange among the heterogeneous systems with various protocols and data standards can be completed for a plurality of target systems with different data standards; the business data conversion process is integrated into the data exchange platform, supporting multiple protocols and multiple data standards; one to many or many to one exchange can be performed; and great convenience for future business process modifications can be provided. By means of the invention, the efficiency of the medical staff is improved, the medical risk of the patients is reduced, and the development and maintenance cost of the system of the hospital is reduced.

The invention provides an openEHR template-based data interface dynamic generation method. The method comprises the steps of: 1, analyzing an openEHR template and building a template object; 2, according to the template object, acquiring a relationship type clinical database structure corresponding to each template attribute and building a data interface object; 3, analyzing an HTTP request initiated by a client for invoking a data interface and building an HTTPRequest object; 4, generating database operation SQL statements according to the data interface object in the second step and the HTTPRequest object in the third step; 5, executing the SQL statements generated in the fourth step for the relationship type clinical databases generated based on the openEHR template to obtain a data operation result; 6, building an HTTPResponse object according to the data operation result in the fifth step and returning the same to the invoking party. The method can generate data interfaces flexibly to meet the requirements of clinical application.

Systems and methods for monitoring controlled substance distribution include receiving a healthcare transaction at a service provider computer. The healthcare transaction may be parsed to determine the healthcare provider submitting the healthcare transaction, the drug being prescribed as part of the healthcare transaction and the class of controlled substance to which the drug being prescribed belongs. Counters associated with total scripts prescribed by the healthcare provider and the class of controlled substance may be incremented upward in view of the healthcare transaction being approved by a claims processor. A current percentage of the class of controlled substances being prescribed can be calculated for the healthcare provider and compared to a threshold percentage for the particular class of controlled substance. If the current percentage violates the threshold percentage, a notification can be sent to a corporate level or management level for the healthcare provider for review.