74 results about "Medline database" patented technology

The invention is a portable vital signs measurement instrument, systems and methods that provide a variety of measurement capabilities, including blood pressure, temperature, pulse oximetry, and other indications of patient status. The instrument, systems and methods include the ability to communicate wirelessly, for example using Wi-Fi (IEEE 802.11B), with a server, so that information can be entered easily, securely and reliably into a medical database system accessible by way of the server. The systems and methods provide for the instrument to initiate a communication session by attempting to discover a server access point in its vicinity.

A medical database and associated methods are especially suited for compiling information in a medical malpractice situation. A general medical database is provided and specific medical information corresponding to a given situation is entered. Entry of the information automatically cross-references some terms of the entered data to definitions in the general medical database. Terms are readily looked up when reviewing specific medical information and definitions are easily inserted where desired. A drug reference display provides two-way lookup from drugs to their side effects (or contraindications or interactions) and back. Significant information from an entered medical chronology is easily copied to a significant information section when a reviewer finds the information important.

A method and system for maintaining medical items is provided. The system includes a medical database structure, a medical database utility configured to maintain medical database contents by organizing medical information into levels, and a user interface component configured to enable a user to access the medical database utility. The medical database utility provides a user with an ability to access the user's collections of settings in the medical database, the user's collection of settings maintained separately from settings accessible by other users. The method stores medical data items in a database configured with multiple levels of organization, establishes a logical relationship between medical data items at each level of organization, presents a user with available medical system choices at each level of organization, and enables the user to select from among the available medical system choices presented at each level of organization.

A method of retrieving similar patient cases from a medical database includes matching a current patient case against a plurality of clinical profiles resulting in a set of matching clinical profiles. The method further includes determining a degree of membership of the current patient case in each clinical profile from the set of matching clinical profiles based upon a degree of match between the current patient case and the clinical profile. For at least one clinical profile from the set of matching clinical profiles, the method includes retrieving those similar patient cases from the medical database that have a substantially corresponding degree of membership as the current patient case.

The invention discloses an intelligent interaction system and method for medical information. The intelligent interaction system for the medical information comprises a medical database, human-computer interaction equipment and a medical data intelligent analysis unit, wherein the medical database stores a lot of disease symptom description information, disease names, disease treatment schemes and drug prescription data; the human-computer interaction equipment is used for providing a human-computer interaction display interface and displaying corresponding medical information according to one of the disease symptom description information, disease names and drug names input by a user; and the medical data intelligent analysis unit is used for carrying out query and data operation on one of various disease symptom description information, disease names and drug names input by the user in the medical database, analyzing and screening the most relevant disease treatment scheme and corresponding drug prescription data. Through the human-computer interaction mode, various diseases are diagnosed, and corresponding treatment recommendations are given, so that a lot of doctor resources are saved and the pain and the cost of a patient are reduced.

A test module for analyzing a sample fluid and communicating data to a medical database, the test module having a receptacle for receiving the sample, functional sections for processing and analyzing the sample, a communication interface for communication with the medical database, and, a controller for operative control of the communication interface.

Certain embodiments present a system for generating a medical teaching file message. An image identifier labels medical images based upon information pertaining to user interaction with the image. The system also provides an image search engine that scans and indexes images within a database based on a set of rules. The image search engine generates a subset of images from a larger group of medical images within a database based upon the rules. The system also includes a supporting data selection engine for accepting a free text search query from an interface. The supporting data selection engine scans medical databases based on the free text search query, and provides the supporting data search results via an interface. A teaching file message is generated either automatically or manually from the subset of images and the supporting data search results for transmission to a teaching file.

A method for generating a modifiable summary of medical data derived from a patient can comprise steps of selecting a subset of medical data from a medical database, wherein the subset at least partially is uniquely associated with an individual patient, and generating a living graphical representation from at least a portion of the subset. The living graphical representation can be dynamically reconfigurable upon modification of the portion. In another embodiment, a method for customizing patient medical information for presentation to a patient as a customized file can comprise steps of determining a medical condition of a patient, identifying static data related to the medical condition, and identifying dynamic data uniquely related to the patient. Additional steps can include forming a customized file of the patient from the static and dynamic data, wherein the customized file summarizes at least an episode of medical care.

The invention provides a method for establishing a medical database, comprising the following the steps of: (1) transforming a source document into full text data capable of being subjected to text searching so as to establish the following retrieval indexes: a. a full text retrieval index, b. a comments index, c. a literature external characteristic index, d. and a difficulty level grading index; (2) and selecting part of the retrieval indexes for weighting distribution so as to establish a weighted grading and sequencing program based on the appearing frequency of searched words. The medical database established by using the method of the invention is capable of retrieving medical literatures, which have high correlation degree and are suitable to users, according to the intellectual level of the users. The method for establishing the medical database is capable of greatly improving retrieval efficiency, and is convenient to use for the users with different levels of medical knowledge.

The invention discloses a genetic variation determination method and system and a storage medium. The method comprises the steps: an automatic determination rule file is generated for annotating and classifying the genomic variation according to the data of multiple biomedical databases; and mutant gene annotation processing is performed on the variation detection file by using an annotation toolbased on the automatic determination rule file, the genomic variation in the variation detection file is classified by using a scoring tool based on the automatic determination rule file, the geneticvariation is reclassified by using the scoring tool based on the modified determination criterion, and the modified determination criterion is saved in the automatic determination rule file. Accordingto the genetic variation determination method and system and the storage medium, gene analysis and annotation can be more accurately and efficiently performed, the interpreter can be assisted to moreefficiently apply the evaluation criterion, automatic analysis on the massive variation site information can be realized and the accuracy and the determination speed of genetic variation determination can be improved.

A diagnostic imaging support system that enables confirmation of abnormalities in anatomical regions of a brain includes capturing images of the brain, specifying regions in the captured images that correspond to the anatomical regions, searching a medical database for similar cases based information associated with the specified regions, and displaying the results of the search.

The invention discloses a sepsis data processing system which comprises a model training unit and a prediction unit. The model training unit is trained according to patient data provided by an intensive care medicine database to obtain an identification model, the identification model is stored in a storage unit, the prediction unit identifies output representation identification results by the identification model, the model training unit comprises a data preprocessing module, a data separation module, a training data integration module and a model training module, the data preprocessing module preprocesses the patient data from the intensive care medicine database to obtain the preprocessing patient data, the data separation module divides the preprocessing patient data into a finally diagnosed sepsis forward training data and finally diagnosed non-sepsis reversal training data, the training data integration module integrates training data into a training data set, and the model training module is trained according to the training data set to obtain the identification model. The system has the advantages that influence of man-made decision factors is relieved, potential characteristics of data are more easily excavated, and sepsis prediction accuracy is effectively improved.

The present invention relates to a medical image analysis method and device. The method includes the following steps that: medical images and the metadata of the content of the medical images are acquired, and the acquired medical images are matched with anatomical information images captured from a cloud medical database; edge-preserving diffusion image filtering processing is performed on medical images which are successfully matched with the anatomical information images, so that training sample medical images to be trained are obtained; network structures of a convolution layer, a de-convolution layer, a pooling layer and a whole-connection layer are sequentially adopted to perform deep training on the training sample medical images, so that a lesion point feature model is generated; and a medical image to be tested is inputted into the lesion point feature model, and a lesion point recognition result is automatically obtained. With the above method adopted, the accuracy of an algorithm can be greatly improved, false negatives can be decreased, a lesion point can be obtained accurately and rapidly, and further analysis operation can be performed on the lesion point; and a deep network is adopted, so that the problem of insufficiency of shallow-layer network feature extraction can be solved.

The invention discloses a method for screening out an inherited metabolic disease of a newborn. The method comprises the steps of storing disease condition symptom data and index data of existing inherited metabolic disease in a database, and establishing a medical database according to the database; collecting a detection sample of the newborn, and importing the detection sample into the medical database; and comparing the detection sample with the index data in the medical database, and judging whether the detection sample is matched with the index data in the medical database or not. By performing comparative matching on the detection sample of the newborn and the existing data in the established medical database, the inherited metabolic disease related to the newborn can be quickly screened out and an examination report in a text format is generated; and the data can assist in diagnosis of doctors, so that the misdiagnosis rate of the doctors is reduced, the diagnosis efficiency of the doctors is improved, and a diagnosis result is more accurate.