105 results about "Hospital system" patented technology

The invention relates to the technical field of medical data integration, in particular to a block chain and AI-based medical whole industry data asset integration system and method. Comprising a data acquisition layer, a block chain right confirmation layer, a federal learning analysis layer, a data asset transaction platform and a supply chain traceability optimization module. The data acquisition layer comprises an edge computing node, a data cleaning engine and a desensitization algorithm are built in the edge computing node, and the edge computing node is used for carrying out localized cleaning and desensitization processing on hospital HIS system data, medicine RFID data, medicine research and development experiment data and medical image data; the block chain right confirmation layer constructs a medical data asset account book based on an alliance chain architecture, the asset account book comprises a data hash record, a contributor identity identifier and a use authorization log, and an integrated intelligent contract module is used for dynamic right management; according to the invention, medical data islands can be broken, and safe integration and efficient utilization of cross-domain data are realized.

The invention belongs to the technical field of biological sample sorting, and discloses a visual identification control system for automatic sorting of biological samples, through cooperation of a multi-modal sensing acquisition unit and a knowledge graph multi-dimensional identification unit, condensed water of a frozen sample tube can be penetrated to accurately identify label and molecular characteristics, and'condensed water shielding 'and'label damage' are distinguished; meanwhile, a sample preprocessing state is associated, and samples which do not meet requirements are automatically intercepted. Compared with the prior art, manual secondary verification is not needed, sorting dislocation caused by optical interference of smear glass slides is thoroughly solved, the sorting precision and efficiency of mixed samples are remarkably improved, and diversified sample treatment requirements in clinical detection are met; the full-link twin operation and maintenance unit integrates key data in a sorting process through a block chain technology, and is interconnected and intercommunicated with a hospital LIS system and a sample storage system; and when the subsequent storage environment of the sample is abnormal, the quality state of the sorting stage can be reversely associated, and the compliance auditing vulnerability is eliminated.

The invention belongs to the technical field of medical informatization, and particularly relates to a medical insurance medication rationality interception system and method based on deep reinforcement learning and an FP-Growth algorithm, and the method comprises the following steps: S1, receiving electronic prescription data transmitted by a hospital HIS system in real time; s2, according to original diagnosis information in the prescription, performing standardization processing to obtain a diagnosis set; according to the original medicine information in the prescription, cleaning and integrating to obtain a medicine set; s3, based on an FP-Growth association rule algorithm, performing diagnosis-drug association analysis and drug-drug association analysis on the diagnosis set and the drug set, and identifying a low-association prescription according to a preset condition and marking the low-association prescription as a suspicious prescription; s4, starting deep reinforcement learning analysis on the suspicious prescription through DRL decision optimization, and outputting a prescription reinforcement learning feature set; and S5, outputting a prescription qualitative analysis result and a corresponding confidence score according to the prescription reinforcement learning feature set.

The invention discloses an intelligent medical inquiry and medical record generation method and system based on multi-technology fusion, and the system comprises a specialized dynamic pre-inquiry module which is used for sequentially executing the analysis of a patient chief complaint, the matching of a dynamic template, the intelligent inquiry and the completion and verification of a knowledge graph according to a chief complaint text inputted by a patient, and obtaining the comprehensive information of the patient; the dual-drive medical risk control module is used for performing dominant and recessive risk identification based on a rule engine and a large model in combination with an RAG knowledge base according to the comprehensive information of the patient, and realizing a collaborative early warning closed loop; the voice structuring and medical record generation module is used for executing double-track voice separation and transcription, specialized structuring processing and multi-source data fusion and EMR template matching in the dialogue process of the patient and the doctor to generate a structured electronic medical record; and the system integration and performance optimization module is used for adapting to a hospital HIS / EMR system through a standardized interface and executing data preloading and cache optimization to guarantee the response performance of the system.

The invention discloses a 3D holographic image knowledge base interactive playing method for diabetic education, and the method comprises the steps: firstly obtaining patient data of a hospital HIS system and a wearable device, and carrying out the classification, preprocessing and data fusion, thereby obtaining an encrypted standardized data set; and then multi-dimensional feature groups are extracted, knowledge base education contents are matched, and a personalized scheme is generated. And carrying out structural processing on the scheme, constructing a 3D model and a scene resource library, rendering the scheme into a holographic image format, optimizing the scheme, and outputting a material set. And then configuring a calibration material set, scheduling and playing, realizing immersive learning, and generating interaction data and feedback information. And finally, evaluating a learning effect by combining clinical indexes, and dynamically updating and optimizing the knowledge base. By means of 3D holography and multi-mode interaction, intuition, interactivity and individuation of diabetic education are improved, and the self-management ability is enhanced.

The invention relates to the technical field of internet hospitals, in particular to an internet hospital-based preoperative information input system, which comprises a patient end information acquisition module, a cloud data processing module and a hospital end management system. The patient end realizes multi-dimensional information input and classification, the cloud end performs intelligent analysis and structured storage by using OCR and natural language processing technologies, and the hospital end provides risk assessment, medicine taking reminding and state tracking functions. The system is seamlessly connected with a hospital system through a medical history docking interface, so that the information acquisition efficiency, the automatic processing capability and the preoperative management intelligent level are remarkably improved, a scientific basis is provided for a doctor to make an operation plan, and the patient experience is optimized.

The invention provides a data analysis processing method and system for a hospital HIS system, and belongs to the technical field of energy storage devices, and the method specifically comprises the steps: determining a coincidence time period according to the coincidence condition of a quality inspection analysis recommendation time period of medical records of each hospital department and a time period of a doctor of the hospital department with infectious disease diagnosis and treatment, and when the quality inspection analysis recommendation time periods of the hospital departments belong to the overlapping time periods, determining the quality inspection processing time periods of the medical records of the hospital departments based on the distribution data and the registration data of the hospital departments in different quality inspection analysis recommendation time periods in the overlapping time periods, thereby improving the quality inspection processing efficiency.

The invention relates to the technical field of computers, discloses a data sharing method and system for patients suffering from metabolic acidosis, and aims to solve the problem of out-of-control safety caused by extensive authority, bare transmission and traceless behaviors in cross-institution medical data circulation. A dynamic authority strategy based on roles and scenes is constructed by extracting and standardizing patient diagnosis and treatment data from a hospital system; end-to-end encrypted transmission is realized through bidirectional authentication and a temporary session key; establishing a three-layer block chain type audit log tracking access, a secret key and a data flow direction; dynamic desensitization, quality verification, cache acceleration and intelligent contract extension mechanisms are integrated, and a visual authority topology monitoring and credit scoring system is supplemented. According to the technical scheme, data field-level accurate authorization, encryption and anti-theft in the whole transmission process, traceability in the whole operation period and use compliance self-feedback are achieved, and the scientific research value of clinical data is released to the maximum extent while the privacy safety of a patient is effectively guaranteed.

The invention discloses a medical consumable full life cycle management system based on large model application, and relates to the field of medical consumable intelligent management. The system comprises an identity verification module which is used for realizing pre-operation and post-operation personnel verification and authority control based on multi-mode identification; the image acquisition module is used for integrating RFID (Radio Frequency Identification Device) identification, image identification and a certification OCR (Optical Character Recognition) technology, acquiring pre-operation and post-operation consumable information and constructing a corresponding information set; the consumable use state recognition module is used for constructing difference parameters based on the preoperative and postoperative information set, judging the consumable use state and outputting a use and remaining list; and the SPD integration and return management module is in butt joint with a hospital SPD system, performs state screening and tracing binding based on the remaining consumable list, automatically generates return information, and realizes consumable life cycle closed-loop management. Through the multi-modal technology, whole-course tracing and automatic management of consumables are realized, the working efficiency is improved, manual intervention is reduced, the return flow is optimized, and the data accuracy and efficient execution of the flow are ensured.

The invention discloses a medical incorruption risk prevention and control system and method based on multi-source data fusion, and relates to the technical field of information processing.The medical incorruption risk prevention and control method comprises the steps that system operation log data, ICD coding data and medicine catalog data in a hospital system are obtained, standardization processing is conducted on the ICD coding data and the medicine catalog data, and an initial incidence relation is established; constructing a medical encoder, and inputting data to obtain corresponding feature vectors; calculating the association strength of the codes and the drugs, generating an association feature vector, and inputting compliance and non-compliance data into a support vector machine classifier to train an association verification model; inputting system operation log data into the model to obtain an operation matching degree, and if the operation matching degree is lower than a threshold, triggering early warning; and obtaining a continuous operation time sequence of an operator, calculating the deviation between the time interval and the historical average interval, and triggering early warning if the deviation exceeds a threshold value. According to the method, through multi-source data fusion and an intelligent model, accurate prevention and control of medical incorruption risks are realized, and the supervision efficiency is improved.

The application relates to the technical field of medical care, and provides a nursing system based on electronic medical records, which comprises a heterogeneous data integration module, which obtains multi-source heterogeneous electronic medical record data from a hospital HIS system, a wearable monitoring device and a nursing operation terminal and outputs the data after cleaning and standardization; a feature correlation module, which receives the data after cleaning and standardization to generate a space-time feature correlation matrix and stores a feature topology graph; a dynamic decision module, which processes the feature correlation matrix based on a deep space-time fusion network to generate a nursing decision vector; a scheme execution monitoring module, which collects nursing operation data streams in real time, calculates an execution deviation parameter and feeds back the execution deviation parameter; an abnormal intervention module, which analyzes the execution deviation parameter to trigger the dynamic decision module to execute nursing scheme reconstruction; a multi-terminal cooperation module, which converts the nursing decision vector into a device instruction set and feeds back a device state; and a safe storage module, which encrypts and stores the feature topology graph and a decision knowledge graph and provides model parameter version management.

The invention relates to the technical field of medical management, and discloses a medical specialist ability index evaluation method, which is characterized by comprising the following steps: data acquisition: collecting multi-dimensional information; constructing an index system, and establishing a multi-dimensional evaluation system; weight distribution: determining a weight coefficient by adopting a scientific method; and calculating a specialist ability index through comprehensive scoring model calculation. The system is characterized in that data acquisition is completed through a hospital system and a database; the basic capability indexes comprise equipment configuration and the like; clinical ability indexes comprise diagnosis and treatment quantity and the like; the scientific research capability indexes comprise scientific research projects and the like; the service capability indexes comprise patient satisfaction and the like; the specialized ability index has a specific calculation formula. The method has the advantages that comprehensive, scientific and dynamic assessment of the clinical specialized ability of the medical institution is realized through the specialized ability assessment method based on multi-dimensional data acquisition, objective weight distribution and a quantitative scoring model.

The invention provides a medical material supply chain management method and system based on an HRP system of a hospital, and the method constructs a multi-dimensional data set and a medical consumable association diagram based on clinical events, consumable delivery and logistics data in the HRP system of the hospital. The system establishes a state evolution model for a specific clinical event to predict a dynamic trend of a supply chain, and defines a critical early warning region accordingly. According to the method, state point tracks of consumable and logistics data are monitored in real time, when the state point tracks are close to a critical early warning area, it is judged that a corresponding clinical event is activated, and a crisis index is calculated. If the crisis index is low, calling an evolution model to carry out macroscopic prediction; and if the index is high, deep fusion prediction is carried out by combining the evolution model and the consumable association graph, and the demands of all related consumables are accurately deduced. And finally, generating and sending a deployment instruction based on a prediction result. According to the method, intelligent transformation of the medical material supply chain from passive response to active prediction and accurate allocation is realized.

The invention discloses an intelligent hospital integrated system and method based on credential environment data element driving, and belongs to the technical field of medical information system management, the system comprises a cloud platform and a plurality of clients, and the cloud platform is in communication connection with each client; the cloud platform is provided with a data platform, a service platform and a technical platform; the data platform comprises a medical data generation module which is used for carrying out standardization processing on medical information from different medical units; the business platform comprises a plurality of business processing modules; the plurality of business processing modules are mutually independent and operate independently; the business processing module performs data interaction with the data lake; the technical platform comprises a framework and component module, a platform research and development module, a log monitoring module and a data early warning module; the data formats of all medical units are standardized, a standard interface module is arranged, repeated labor is reduced to the maximum extent, and sharing and sharing are achieved.

The invention belongs to the technical field of intelligent medical big data disease risk prediction, and provides a VTE risk prediction method and system based on gradient increasing, and the method comprises the following steps: collecting a sample feature data group through a hospital system; preprocessing the collected sample feature data; performing correlation analysis on the processed sample feature data; calculating a risk threshold value of the numerical type sample features; establishing a machine learning model by adopting a gradient increasing algorithm; testing a model prediction effect; and performing VTE risk prediction by using a gradient increasing model. According to the method, feature data related to VTE diseases are doubly screened by combining feature importance ranking of the Pearson's correlation coefficient and the gradient increasing model, and linear and nonlinear correlation features are captured at the same time; the problems of prediction deviation and insufficient interpretability caused by one-sided feature screening and separation of threshold setting from diagnosis and treatment practice of an existing machine learning model are solved.

The invention discloses a hierarchical medical electronic business card system and an information aggregation method thereof, the system comprises a front-end layer, a business module layer, an external hospital system layer and a block chain layer, the business module layer comprises a two-dimensional code generation and identification module used for generating an anti-counterfeiting verifiable doctor exclusive two-dimensional code based on multi-dimensional hash and a block chain; the doctor information aggregation display module is used for aggregating the multi-source information and dynamically displaying the multi-source information; and the communication interface access module is used for intelligently scheduling multiple communication channels. According to the method, the unification of digital identities of doctors, credible authentication and efficient aggregation of information are realized, the problems of doctor information dispersion, communication channel splitting and the like in the prior art are solved, and the doctor-patient connection efficiency and the digital management level of doctor services are remarkably improved.

An endoscope apparatus includes an endoscope and processing circuitry. The endoscope includes an imaging device disposed at a distal end of an insertion portion and configured to capture endoscopic images when the endoscope is inserted into a human body. The processing circuitry is configured to determine, based on image changes of the endoscopic images, whether each endoscopic image is a non-observation target image or an observation target image, detect a specific region based on image characteristics in endoscopic images determined as the non-observation target images, determine images including the specific region among the non-observation target images as correction target images, determine a directional relationship between a direction of the imaging device and an anatomical orientation of the human body, based on the correction target images, andperform direction standardization processing based on the directional relationship, thereby standardizing orientations of the correction target images based on the anatomical orientation.

The invention provides a hospital infection operation intelligent training system and method based on ST-GCN and AR fusion, and relates to the technical field of mobile medical training and artificial intelligence crossing. The system comprises a cloud management platform which uniformly governs SOP and AR scenes, performs score configuration, courses and schedules, completes data storage and ETL, performs intelligent analysis and report output, issues configuration to edges and AR, and is in butt joint with an in-hospital system; the multispectral visual acquisition subsystem is used for performing object environment recognition and pollution visualization based on synchronous calibration and a region of interest; the edge calculation unit executes preprocessing, space-time diagram construction and ST-GCN reasoning, and outputs an AR visualization instruction and a structured result; the user client supports billboard auditing, management configuration, appointment learning and process control. The system solves the problems of non-uniform standard subjectivity, low scene reduction degree, high organization cost, difficulty in hierarchical assessment of high-order capability and the like, and improves the coverage rate, fairness and clinical operation level.

The invention discloses a health data linkage management system for pregnant and lying-in women in a large perinatal period, and belongs to the technical field of intelligent data management. The system comprises a multi-source heterogeneous data access and standardization gateway which is used for connecting household equipment and a hospital system and standardizing original data through a deep cleaning engine; a data fusion and association unit of the central data processing server fuses multi-source data according to a time sequence by relying on a gestational week management unit, and a multi-modal health analysis engine is combined with a clinical rule and a machine learning model to carry out early warning, risk prediction and personalized analysis; and the multi-terminal interaction platform provides a fusion data view and a closed-loop management tool based on role permission. According to the invention, equipment and hospital information islands are broken through, and through high-quality data management and'rule + AI 'fusion analysis, accurate and foresight management and efficient cooperation of the full-cycle health state of pregnant and lying-in women are realized.

The invention relates to the technical field of medical instrument logistics management, and discloses a logistics system and method of a redisinfection instrument recovery robot based on a hospital HIS (hospital information system), and the system comprises an HIS data interface module, a dynamic path planning module, a task distribution module, an instrument identification module, a recovery processing module and the like. The HIS data interface module obtains the use record of the repeated disinfection instrument; the dynamic path planning module plans a path based on a multi-target ant colony optimization algorithm; the task allocation module allocates tasks by using a game theory model; the instrument identification module identifies instruments by adopting a radio frequency identification and visual fusion algorithm; and the recovery processing module processes the instruments according to the pollution level and updates the inventory state of the HIS system. The recovery efficiency and accuracy of the recovery instrument are improved, deep fusion with an HIS system is achieved, hospital logistics management is optimized, the labor cost is reduced, and the practical value is remarkable.

Provided is a method of operating an integrated monitoring server operated by at least one processor, the method including: receiving waveform-type respiratory mechanics information in real time from a ventilator of a patient that is installed at a remote location, and transmitting the real-time received waveform-type respiratory mechanics information to a hospital system connected to the server through a dedicated line or mobile terminals of medical personnel connected to the server through an internet.

The invention relates to the medical field of urinary surgery, in particular to a fault diagnosis software system of an intelligent urinary surgery catheterization device, which is characterized in that an original data stream is collected by a unified timestamp, and normalized data is obtained through cross-brand semantic adaptation; utilizing inertial measurement exogenous input to suppress body motion artifacts and generating channel credibility; forming structured features based on second-order scattering and cross-channel attention; outputting pressure and flow velocity prediction under a physically constrained reversible and neural differential hybrid model, and inverting potential physical parameters; uncertainty calibration is carried out in combination with a brand-level calibration set, and a fault occurrence probability and a predicted failure time interval are given; a channel fault can be diagnosed and identified in cooperation with self-inspection and fault separation, and sound-light alarm and cross-terminal routing are achieved through arrangement of a system in a hospital. The system is suitable for bedside continuous monitoring and multi-brand deployment, and realizes robust diagnosis and short-term prediction under unified semantics.

The invention relates to the technical field of medical informatization, and discloses a nursing reward performance data element standard construction and structured acquisition method, which comprises the following steps: acquiring nursing work scene parameters; defining a data element identifier, a data type and a constraint condition; constructing a directed graph structure data element relation model; determining a collection target data element through the event monitor; using a multi-source data interface to obtain nursing work records; and carrying out structured processing and transmission. According to the method, the data acquisition error rate is reduced through structural data element constraint and an automatic verification mechanism; a data element standard library and a pushing mechanism are adopted, so that the weight parameter adjusting time is shortened; the labor cost is reduced by multi-source data interface integration; the nurse satisfaction degree is improved through dynamic weight calculation; the directed graph data element relation model enhances the business change adaptation capability of the hospital system and shortens the transformation period.

The invention provides a digestive tract tumor course monitoring system. The system comprises a system control module, a first-stage detection module, a second-stage detection module, a third-stage detection module, a risk assessment module and an intervention decision module. The primary detection module is used for collecting tumor markers, images and clinical symptom data of a patient; the second-stage detection module is used for performing liquid biopsy, pathological biopsy and metabolic function evaluation on the first-stage positive patient; the third-stage detection module is used for carrying out micro-metastasis detection and immune microenvironment and genome analysis on a second-stage positive patient; the risk assessment module determines a patient risk level based on a detection result; the intervention decision module outputs intervention measures based on the risk level; the system control module manages and coordinates operation of all the modules. Each detection module automatically captures detection data by being connected with a hospital system, and judges an abnormal condition according to a set threshold value. According to the system, through a logic mechanism of grading detection and grading intervention, precise monitoring and early warning intervention on the disease course of the digestive tract tumor patient are realized.

The invention discloses a cardiovascular intervention puncture device capable of conveniently adjusting a puncture angle, and relates to the technical field of medical instruments, and the cardiovascular intervention puncture device is characterized by comprising a fixing frame, a supporting rod is arranged on the fixing frame, a first telescopic rod is arranged on the supporting rod, a limb limiting mechanism is arranged on the first telescopic rod, a second telescopic rod is arranged on the supporting rod, and the second telescopic rod is provided with a first connecting rod and a second connecting rod. A steering mechanism is arranged on the second telescopic rod, a puncture assisting mechanism is arranged on the steering mechanism, a connecting rod is arranged on the supporting rod, and an intelligent display screen is arranged on the connecting rod. The telescopic rod is matched with damping sliding of the sliding block and the sliding groove, the spatial position of the puncture auxiliary mechanism can be flexibly adjusted, multi-dimensional puncture angle adjustment is achieved, meanwhile, the path sensor collects rotation track data of the needle tube sleeve in real time, and an intelligent puncture system is in butt joint with a hospital HIS system to obtain medical image data of a patient. And the optimal puncture direction is intelligently matched and risk labeling is carried out, so that puncture angle selection is more scientific and accurate.

This invention discloses an integrated liquid diet supply and digestion monitoring system for gastrointestinal care. The system includes a core control module, a liquid diet supply module, a digestive status monitoring module, a multi-scenario adaptation module, a multi-device collaboration module, and a data management module. By constructing a three-tiered closed-loop system of "early warning-intervention-emergency care" to prevent aspiration, it achieves non-invasive automatic monitoring of gastric residual volume, personalized customization and infusion linkage of liquid diet formulas, linkage between intermittent infusion and oral care, and full-process traceability analysis of abnormal events. It is portable and can interconnect with multiple devices such as smart beds, monitors, and hospital HIS / LIS systems to form a smart medical ecosystem. This invention achieves the integration and intelligentization of liquid diet supply, digestion monitoring, and gastrointestinal care, covering four major scenarios: hospitals, rehabilitation centers, nursing homes, and homes. It significantly improves diagnostic and treatment efficiency and patient comfort, meeting both clinical needs and quality control research requirements.

The application belongs to the technical field of intelligent medical big data disease risk prediction, and provides a VTE risk prediction method and system based on gradient increment, which comprises the following steps: collecting sample characteristic data groups through a hospital system; pre-processing the collected sample characteristic data; performing correlation analysis on the processed sample characteristic data; calculating the risk threshold of numerical sample characteristics; establishing a machine learning model by using a gradient increment algorithm; testing the prediction effect of the model; and performing VTE risk prediction by using the gradient increment model. The application combines the Pearson correlation coefficient and the gradient increment model feature importance sorting to double-filter the characteristic data related to VTE disease, simultaneously capture linear and nonlinear correlation characteristics, and solve the prediction deviation and insufficient interpretability caused by one-sided feature filtering and threshold setting deviating from clinical practice of existing machine learning models.

The invention provides an instrument full-period management system and method based on a hospital HIS system, based on the hospital HIS system, instrument storage cabinets and a micro server, instrument full-period management is achieved, and the micro server manages the instrument storage cabinets and reports medical instrument access information in the instrument storage cabinets to a hospital server; and / or in response to an instrument management instruction issued by the hospital server, controlling the corresponding instrument storage cabinet to perform a corresponding instrument management action; and the hospital server checks and records the access information of the medical instruments in each instrument storage cabinet through the deployed HIS system, so that the full-period management of the medical instruments is realized. According to the invention, real-time display of the instrument inventory and background visual inventory checking can be realized, the management efficiency and the instrument response speed can be improved, a complete use chain of any instrument, including operators, time and associated patient cases, can be traced, and the risk of instrument abuse can be reduced.

The proposed useful solution is a wallless hospital system (10) configured to acquire, process, analyze, update status and coordinate medical data in real time, including: data source module (21), wallless hospital system module (31), medical equipment infrastructure and terminal module (41). The solution is a digital health system architecture capable of data interoperability, real-time data processing, medical resource coordination, terminal management, medical transport support and remote healthcare service delivery within the same platform.

The application discloses a time axis key node automatic acquisition system for chest pain diagnosis and treatment, relates to the field of information and communication technology of medical data, and comprises a pre-stored interval template containing starting or ending anchor point rules; an event stream carrying chest pain patient identification and source system time stamp derived from one or more medical information systems is acquired in real time; an active interval instance in memory is created and maintained for the chest pain patient; a candidate ending event is inferred; source system time reference drift is identified, and a reliability label is attached to time-consuming data. The application realizes automatic and real-time monitoring of the time consumption of the diagnosis and treatment process. The system not only supports starting and ending anchor point matching, automatically identifies time reference drift and attaches a reliability label, but also guarantees the reliability of time-consuming data in a real complex environment without relying on strict time synchronization of the whole hospital system.