16 results about "Hospital based" patented technology

The application discloses a hospital multi-active data center network management system based on a software defined network, relates to the technical field of data management, and discloses a network management system controlled based on an SDN controller, which comprises a traffic collection module, a prediction module, a scheduling module, a multi-active data module and a security module; the traffic collection module is used for collecting historical traffic data of a hospital, analyzing and managing the acquired traffic data, obtaining historical data of traffic loads of various devices of the hospital, and storing the data; the prediction module predicts future traffic loads of devices of the hospital based on historical data acquired in the traffic collection module and uploads the prediction result to the scheduling module; the application can predict future traffic loads of devices of the hospital, reasonably distribute network traffic to various data centers and corresponding servers according to the prediction result, flexibly configure the network, quickly adjust the distribution of network resources, and improve the medical experience of patients.

An object of a system according to an embodiment is to enable citizens to quickly find an optimal hospital in an emergency.SOLUTION: A system includes an input unit, an analysis unit, a selection unit, and a guide unit. The input unit inputs a medical history or a symptom of a user. The analysis unit analyzes the information input by the input unit. The selection unit selects an optimal hospital based on the information analyzed by the analysis unit. The guidance unit guides the shortest route to the hospital selected by the selection unit.SELECTED DRAWING: Figure 1

The application provides a resident medical treatment travel time calculation method and device based on a grid map, comprising the following steps: creating a time cost grid map of an area to be analyzed; obtaining location information of medical service institutions in the area to be analyzed, performing geographic coding to make the location information have latitude and longitude information, superimposing the location information on the time cost grid map, and forming a medical service institution spatial distribution data set; according to the time cost grid map and the medical service institution spatial distribution, using a minimum cost method to draw a medical service institution travel time map; and according to the medical service institution travel time map, obtaining a medical treatment travel time of each residential area in the area to be analyzed. The application can provide a reference for calculating the time of residents in different regions to different types of medical institutions, provide a basis for effectively formulating medical resource allocation policies, and increase the population coverage under different time thresholds.

The invention provides a hospital-infected infectious disease diffusion microscopic simulation method based on a contact network model, and the method comprises the steps: determining the influence space range characteristics of all people in a designated region of a hospital based on the activity data of people in the designated region of the hospital; accurate space dynamic calibration is carried out on the influence coverage range of secondary propagation possibly formed under the condition that each person is infected with infectious diseases; the method comprises the following steps: determining contact relation data among different persons based on respective influence space range characteristics of all persons in a specified area of a hospital, analyzing the contact relation data based on a propagation dynamics model, and determining propagation state information of infectious diseases among different persons; performing dynamic tracking and calibration on the real infectious disease infected persons in the designated area of the hospital; and then on the basis of the transmission state information, obtaining an infectious disease diffusion microscopic animation and personnel infection change characterization information of a hospital designated area, and dynamically displaying an infectious disease transmission change trend on a two-dimensional space level, thereby improving the prevention and control efficiency and accuracy of hospital-infected infectious diseases.

The invention relates to the technical field of intelligent medical treatment, in particular to a hospital-oriented intelligent scoring performance assessment method, system and device and a medium, and the method comprises the steps: obtaining the performance data of a plurality of hospitals, and extracting a standardized performance indicator vector; unsupervised clustering analysis is carried out on the standardized performance indicator vectors, multiple performance levels are divided, and benchmark groups are determined based on the performance levels; on the basis of the performance data of the benchmark group, key performance indicators and critical threshold values thereof are identified, and score weights are deduced through reverse regression analysis; constructing a scoring formula based on the key performance indicators, the critical threshold values and the scoring weights; and based on the performance data, calculating the comprehensive performance score of each hospital by using a scoring formula. According to the method, objective and adaptive scoring based on data driving can be realized, and scientificity and efficiency of hospital performance assessment are remarkably improved.

An object of a system according to an embodiment is to improve the effectiveness of telephone consultants by utilizing AI.SOLUTION: A system includes a symptom analysis part, an advice providing part, a hospital selection part, and a voice guidance providing part. The condition analysis unit receives telephone consultation from the user and analyzes the condition of the user. The advice providing unit provides advice based on the symptom analyzed by the symptom analysis unit. The hospital selecting unit selects a hospital based on the advice provided by the advice providing unit. The voice guidance providing unit provides voice guidance related to the hospital selected by the hospital selecting unit.SELECTED DRAWING: Figure 1

The system according to the embodiment aims to guide a user to an appropriate hospital based on the user's health condition. [Solution] A system according to an embodiment includes a reception unit, an analysis unit, and a guidance unit. The reception unit inputs the user's health status. The analysis unit analyzes the information input by the reception unit. The guidance unit provides guidance to nearby hospitals based on the diagnosis results generated by the analysis unit.

The invention relates to the technical field of data security management, and relates to a hospital operation system based on storage encryption processing. Hospital operation data of all departments in a hospital are collected through a collection assembly, the operation data of all the departments are stored in a storage assembly, before storage, multiple pieces of operation data need to be encrypted through an operation assembly, and before encryption is executed, the multiple pieces of operation data need to be encrypted through an operation assembly. According to the method, encryption grade division is performed on each department in a hospital based on multiple hospital operation data through an operation component, so that a hospital storage encryption standard is created, and the storage encryption grade of each department in the hospital is updated in real time based on the hospital storage encryption standard. According to the method and the device, on the one hand, storage encryption of different means is carried out based on different department confidentiality levels, encryption means for operation data of low-level department confidentiality levels are reduced, encryption efficiency is improved, and on the other hand, safety of operation data of high-level department confidentiality levels is improved.

The invention provides a disinfection and cleaning online registration method and system special for a hospital, and relates to the technical field of disinfection and cleaning management of the hospital, and the method comprises the steps: dividing the risk grade type of each disinfection region of the hospital based on the WS / T512-2025 regulation requirements, and obtaining region risk grade data; based on the regional risk level data, configuring corresponding exclusive registration dimensions and disinfection standards for each region, and generating regional disinfection configuration data; the method comprises the following steps: embedding regulatory core requirements into a system according to regional disinfection configuration data, and constructing a standard knowledge base; and obtaining an exclusive two-dimensional code based on the regional risk level data, the regional disinfection configuration data and the standard knowledge base. According to the invention, through the whole-process coverage of two-dimensional code configuration based on laws and regulations, code scanning linkage verification, classification and accurate traceability, and data-driven closed-loop rectification, standard, efficient and traceable management of disinfection and cleaning work is realized.

The invention relates to the field of medical information, and discloses an internet hospital weight management bidirectional referral triggering method based on hierarchical diagnosis and treatment, which comprises the following steps: comparing continuous physiological parameters, baseline data and a short-term risk score with a preset hierarchical diagnosis and treatment referral rule base; an upward referral suggestion is generated and pushed to a doctor end of the superior medical institution, and the upward referral condition includes that the short-term risk score exceeds a dynamic early warning threshold value or the duration that the continuous physiological parameters continuously exceed a preset red area threshold value reaches a preset first duration; or receiving a confirmation instruction based on the upward referral suggestion or the downward referral suggestion when the weight loss percentage is lower than a preset weight loss target value in a preset intervention period, calling a resource matching algorithm to determine a target medical institution, and generating an electronic referral sheet. According to the scheme of the invention, the congestion of the special number source of the three-first hospital is greatly relieved, and the long-trailing follow-up visit resource of the primary medical institution is activated.

The system according to the embodiment aims to introduce a patient to an appropriate hospital based on the patient's symptoms and make an appointment. [Solution] A system according to an embodiment includes a reception unit, an analysis unit, a prediction unit, a referral unit, and a reservation unit. The reception unit receives input of symptoms. The analysis unit analyzes the information received by the reception unit. The prediction unit predicts a disease based on the information analyzed by the analysis unit. The referral unit refers a patient to a hospital based on the disease predicted by the prediction unit. The reservation unit makes a reservation at the hospital referred to by the referral unit.

An object of a system according to an embodiment is to enable an applicant for a hospital consultation to quickly find an appropriate hospital on the basis of voice information and confirm acceptability.SOLUTION: A system includes a reception part, an analysis part, a retrieval part, a guide part, a communication part, and a confirmation part. The reception unit receives voice information. The analysis unit analyzes the voice information received by the reception unit and converts the voice information into text data. The search unit searches for a hospital based on the information analyzed by the analysis unit. The presentation unit presents a result of the search by the search unit. The communication part communicates the information guided by the guide part to the hospital side. The confirmation unit confirms acceptability based on the information notified by the notification unit.SELECTED DRAWING: Figure 1

To provide guidance to a hospital and a doctor suitable for a patient in accordance with symptoms reported by the patient, and to provide an approximate time required until a medical consultation.SOLUTION: A patient support apparatus includes: symptom reception means that receives symptom report information and position information relating to one patient; provisional medical examination information extraction means that extracts provisional medical examination information associated with the symptom report information; medical consultation form extraction means that extracts medical consultation form information associated with the provisional medical examination information; hospital requirement extraction means that extracts facility information and specialization information associated with the provisional medical examination information; hospital extraction means that extracts hospital information satisfying the medical consultation form information, the facility information, and the specialization information; required time specification means that specifies a travel time for one patient to travel to each hospital on the basis of the position information and location information included in the extracted hospital information, and specifies a required medical examination start time being an approximate time until a medical examination is received at each hospital on the basis of the specified travel time; and hospital information provision means that provides the specified required medical examination start time for each hospital.SELECTED DRAWING: Figure 2

The present disclosure relates to a method of operation of a server, wherein the method of operation comprises the steps of: obtaining event information related to a target area where the first terminal device is located from at least one first terminal device located within a hospital; selecting at least one second terminal device among a plurality of terminal devices located within the hospital based on the type of the obtained event information; and providing notification information to the selected second terminal device to correspond to the event information.

The invention relates to the technical field of large-scale public facility transformation construction and transportation planning, in particular to a method for planning a box logistics system in intelligent transformation of a built hospital based on a BIM (Building Information Modeling) technology, which comprises the following steps of: S1, configuring a software environment, installing and configuring Autodesk Revit 2025 as a core modeling platform, then installing Autodesk Naviworks Manage 2025 for collision detection and 4D simulation analysis, and constructing a box logistics system in intelligent transformation of the built hospital based on a BIM (Building Information Modeling) technology; and a unified digital environment and a space reference are laid for all subsequent modeling and cooperative work in a transformation environment. According to the method, a complete technical path from current situation data modeling, algorithm optimization to reconstruction conflict resolution is constructed, a quantitative analysis foundation is laid for accurate planning and construction of a hospital box logistics system in a hospital iteration upgrading process, and cross-field fusion development of architectures and traffic transportation engineering is promoted; the internal logistics circulation efficiency of the hospital is effectively improved, and technical support is provided for efficient operation of the smart hospital.

The invention discloses a hospital electricity consumption real-time prediction method and system based on working condition domain division, and the method comprises the steps: extracting the geometric and topological relation information of a hospital based on a BIM model of a hospital building, and determining the deployment number and positions of Internet of Things sensors; extracting hospital electricity consumption historical data through the Internet of Things sensor, obtaining hospital electricity consumption data and electricity consumption influence parameters in real time, and screening input variables; dividing a plurality of working condition domains in combination with hospital electricity consumption historical data; extracting high-level features of the energy consumption diagrams of the working condition domains, extracting statistical features and time sequence features from the real-time power consumption influence parameters, and fusing the statistical features and the time sequence features to generate multi-mode feature vectors of the working condition domains; training a hospital electricity consumption prediction model of each working condition domain; and after the training is completed, inputting hospital power consumption influence parameters obtained in real time, and outputting hospital power consumption predicted in real time. According to the method, multi-source data are combined, working condition changes are dynamically adapted, and high-precision real-time prediction is achieved.