26 results about "Hospital network" patented technology

A medical monitoring system comprises a wearable garment incorporating multiple physiological sensors for real-time patient monitoring. The garment integrates an embedded processing unit that receives sensor data and transmits it wirelessly to a base station or remote server. A multi-modal physiological signal processing unit analyses the data to generate composite physiological indices, including metabolic rate, work of breathing, and fall risk assessments. The garment includes optional monitoring features such as transcutaneous carbon dioxide measurement, electrocardiography, pulse oximetry, blood pressure monitoring, and accelerometer - gyroscope-based motion tracking. The system provides early-warning alerts for clinical deterioration, enabling proactive therapeutic interventions. A wireless communication module ensures real-time data transmission, supporting remote monitoring and integration with hospital networks. The garment's modular design allows for non-invasive physiological assessment while maintaining patient mobility, making it suitable for critical care, ambulatory monitoring, and telemedicine applications.

A machine learning-assisted intelligent device for optimizing personalized cancer treatment based on genomic data, the device comprising the following: a genome data input unit configured to receive and preprocess genome sequences from a variety of external data sources, the preprocessing including noise reduction, sequence alignment, and filtering of irrelevant genome segments; a mutation detection unit comprising a deep learning-based processing module, wherein the mutation detection unit is configured to compare the preprocessed genome sequences with a database of known cancer-related mutations and biomarkers and to create a mutation profile associated with a patient's cancer; an optimization unit for machine learning models comprising at least one neural network architecture, wherein the optimization unit is configured to receive the mutation profile, analyze the identified mutations, correlate the mutations with historical patient outcomes, and generate an initial treatment recommendation; a treatment recommendation engine configured to use reinforcement learning algorithms, wherein the engine continuously learns from real-time patient responses to previous treatments and dynamically adapts treatment strategies based on updated genomic data and evolving patient conditions, thus providing an optimized treatment plan; an outcome prediction module configured to analyze potential outcomes of the recommended treatments based on predictive analysis models, whereby the module generates a probability value for treatment success and presents a detailed explanation of the correlation between genomic markers and the expected efficacy of the treatment; a secure data transmission interface configured for bidirectional communication with hospital networks and genome research centers, with the interface complying with data protection standards to protect sensitive patient information; a display interface configured to visually represent the results of genomic analyses, treatment recommendations, and outcome predictions, wherein the display interface allows user interaction to adjust treatment parameters based on clinical inputs; and a power management unit configured to regulate energy consumption, wherein the power management unit includes a cooling system to maintain the operating temperature of the device during high-performance data processing tasks.

The invention discloses a network security risk assessment method and system based on a data model. The method comprises the following steps of: firstly, collecting equipment logs, operation records, medical data access records and alarm information from key nodes of a hospital network, such as network equipment, a server, safety equipment and a medical information system in multiple channels, cleaning, de-weighting and normalizing, and then analyzing network topology, equipment safety, data sensitivity and user behaviors; building a model by using K-means clustering and a support vector machine, and training and optimizing by using historical data; and combining an analytic hierarchy process, vulnerability scanning and time sequence analysis to calculate asset value, vulnerability score and threat possibility, and obtaining a risk level according to a risk matrix method. The system comprises multiple layers of architectures such as data acquisition, processing, model construction, risk assessment decision, display interaction and the like, and the layers cooperate with each other. The system accurately adapts to a hospital network, comprehensively considers medical data characteristics, builds a foundation for hospital network safety management, and protects medical services.

The invention discloses an ESG index evaluation method and system based on multi-source data fusion, and relates to the technical field of medical information management, the system comprises a data acquisition module, a data analysis module, an evaluation module and a report module, the data analysis module is responsible for processing a data set acquired from the data acquisition module; the data analysis module is used for calculating a clinical medical registration missing index, a medical equipment failure rate, a medicine statistics failure rate and an environment monitoring failure rate, in addition, the module is also responsible for generating a hospital network port safety index, and the evaluation module is used for evaluating the clinical medical registration missing index by utilizing indexes provided by the data analysis module and combining evaluation of a hospital network client. All aspects of a hospital are comprehensively evaluated, powerful support and clear guidance are provided for improvement and optimization of a hospital management system, and a report module carries out detailed analysis and arrangement on information of the hospital in the aspects of clinical medical treatment, medical equipment, medicines, patients and environment according to information provided by an evaluation module, so that the information of the hospital in the aspects of clinical medical treatment, medical equipment, medicines, patients and environment is reported. And formulating a summary report containing improvement measures.

Method and apparatus for managing the physician referral process, whereby a referring physician (e.g., a primary care provider) refers a patient to another physician (e.g., a specialist) for a particular medical procedure, analysis or care. An aggregator provides systems and methods available to physicians and their administrative staff (herein collectively referred to as physicians or doctors) to: book appointments on behalf of their patients online through a doctor directory and calendar function; filter available doctors by specialty, subspecialty, procedure, insurance participation and / or hospital network; transfer a patient's personal information, medical history and pre-selected insurance forms from one doctor's office to another's, electronically; transfer and upload relevant forms and paperwork via fax from one doctor's office to another; track referrals historically (over time) on a by-doctor or by-patient basis; facilitate referrals to and from doctors in a certain network or group.

The invention discloses a hospital-oriented software and hardware collaborative medical data hierarchical processing method and device. According to the method, in a hospital intranet, statistics is carried out on the flow of medical data flow based on a source IP and a target IP two-tuple through a hardware side, a large flow and a small flow of the medical data flow are distinguished according to a dynamic threshold value, and an identifier is added to the large flow. The hardware flow table module carries out short-period quintuple statistics on the identified large-flow medical data message and reports a result with a timestamp; and the software flow table module performs long-period statistics on the small-flow medical data messages, synchronously fuses results of the two parties through timestamps, generates a full-amount medical network flow table, and further optimizes a dynamic threshold value and a processing strategy. According to the invention, through layered flow establishment and double-cycle cooperation, high performance of hardware processing and flexible large capacity of software processing are both considered, the utilization rate of hospital network resources and the consistency of flow data are effectively improved, and accurate support can be provided for hospital intranet monitoring, service awareness, safety protection and strategy automation.

A multimodal predicate diagnostic system for hospital stroke detection utilizes TEE-secured mobile devices to monitor patients in clinical environments. The system aggregates motion data using optimized sampling and cryptographic validation, applying a hybrid CNN-decision tree model optimized via transfer learning and data augmentation against an adaptive gait baseline. It computes risk confidence scores in real-time and generates alerts with hospital network integration.

The invention discloses a shelter hospital network security protection system, method and device, and relates to the technical field of medical networks, and the system comprises a shelter hospital processing module, a cloud platform and a remote receiving aggregation gateway device. The shelter hospital processing module comprises a source data acquisition module and shelter hospital aggregation gateway equipment; the shelter hospital aggregation gateway equipment and the remote receiving aggregation gateway equipment form a three-layer wide area network; the cloud platform is used for transmitting to-be-transmitted data of the shelter hospital to the remote receiving aggregation gateway device, the cloud platform comprises a plurality of service nodes, and the service nodes communicate through a plurality of heterogeneous physical links; during data transmission, the shelter hospital aggregation gateway device determines an optimal transmission link from the cloud platform, and the optimal transmission link is dynamically updated. The shelter hospital network can be quickly deployed, transmission data loss is reduced, and the service quality of the shelter hospital network is improved.

Title of the Invention: Controlled Pressure Gas Supply Installation for a Hospital Network. The invention relates to a gas supply installation (1) for supplying gas to at least one gas pipeline (2) carrying said gas within a hospital establishment, comprising a first gas source (10) containing the gas at a first pressure (P01), and first pressure-reducing means (11; 11.1, 11.2) for reducing the gas pressure to a fixed first pressure-reducing pressure (P1) lower than the first pressure (P01). A second gas source (20) containing the gas at a second pressure (P02) and second pressure-reducing means (21) for reducing the gas pressure to a fixed second pressure-reducing pressure (P2) lower than the second pressure (P02).The first expansion pressure (P1) is greater than the second expansion pressure (P2), and the ratio of the second expansion pressure (P2) to the first expansion pressure (P1) is at least 80%. (See abstract figure: Figure 1.)

Methods and systems for connecting a patient support apparatus to a hospital network and locating the patient support apparatus are provided. A patient support apparatus is associated with a communication device having a first and second communication interface for transmitting and / or receiving a first and second type of wireless signal. The patient support apparatus is electrically connected to a node serving as a power output and a wireless communication system connected to the hospital network. In response to the electrical connection, the communication device activates the first communication interface to form a wireless link with the node. In response to the patient support apparatus being electrically disconnected from the node, the communication device activates the second communication interface. The patient support apparatus is located by the node based on the second type of wireless signal.

Cardiopulmonary resuscitation demands rapid and precise responses, particularly in hospital emergency departments. The "Automated Resuscitation Trolley Alert and Drug Dosage System" is designed as an add-on compatible with various resuscitation trolleys. The system features a powerful central processing unit, a liquid-resistant capacitive touchscreen, an audio-visual alert system with high-power LEDs, and communication modules for hospital network integration. It uses artificial intelligence and machine learning algorithms to calculate drug dosages based on patient information and monitoring data. The audio-visual alert system reduces medical team response times in emergencies. Connectivity to hospital information systems enables quick access to patient data and automatic logging of actions. By enhancing precision and speed in drug administration, minimizing human errors, and improving team coordination, this invention significantly improves the quality of emergency services and the success rate of resuscitation procedures.

The utility model discloses a modular hospital network equipment integrated mounting bracket relates to network equipment integrated installation technical field, including support frame group, adjusting track and movable support, the top surface level mounting of support frame group has adjusted track, movable support installs in the top surface of adjusting track. That modular hospital network equipment integrated mounting bracket, through with support frame group, adjusting track and movable support between each other adopt modular structure setting, in this way can according to use needs, cooperate network equipment's number and size specification, can realize arbitrary combination collocation to satisfy the integrated installation of different equipment, also guarantee the use flexibility and convenience of whole mounting bracket structure as far as possible, in addition, through being provided with movable support, can according to use needs between structure flexible adjustment, to facilitate adjustment, guarantee the convenience of use.

Embodiments of the present application provide a hospital network system, a patient diagnosis and treatment information system, and an information processing method. The hospital network system comprises a patient diagnosis and treatment information system and a plurality of medical devices. For monitoring parameters shared by the patient diagnosis and treatment information system and the plurality of medical devices, synchronization of monitoring benchmark data corresponding to at least part of the shared monitoring parameters is maintained between the patient diagnosis and treatment information system and the plurality of medical devices, and the patient diagnosis and treatment information system and the plurality of medical devices each output monitoring values of the monitoring parameters on the basis of the synchronized monitoring benchmark data corresponding to at least part of the shared monitoring parameters; in response to a first instruction inputted by a user into the patient diagnosis and treatment information system, the patient diagnosis and treatment information system modifies the monitoring benchmark data corresponding to a first monitoring parameter in the system, and pushes the modified monitoring benchmark data to a first medical device.

A method, apparatus, and non-transitory, computer readable medium for scheduling a plurality of procedures in a hospital. The method interfaces with a network of the hospital to acquire resource information by monitoring a plurality of hospital resources, obtain procedure information, and access personnel information. The plurality of hospital resources includes a plurality of rooms and medical devices and the personnel information includes qualifications and working hours. The method further includes processing the resource information, procedure information, and personnel information to generate one or more hospital schedules using a model based on a predetermined parameter hierarchy and modified based on a hardness quotient. The hospital schedule assigns an at least one room, medical device, and personnel for each procedure. The method then ranks the hospital schedules and interfacing with the network of the hospital to electronically reserve the rooms and electronically prepare the medical devices based on a ranked hospital schedule.

Described are methods and systems for improving cybersecurity of an operating room. A user is prevented from interacting with one or more medical devices connected to an operating room (OR) hub until the user is authenticated through an operations user interface (UI) of the OR hub. The user is authenticated through the operations UI. Authenticating the user through the operations UI includes determining a type of credential possessed by the user. Based on a determination that the user possesses a hospital network administrator credential, the user is permitted to access a plurality of security functions, including enabling and disabling one or more communication ports to which the one or more medical devices are connected. Based on a determination that the user possesses an operator credential, the user is prevented from enabling and disabling the one or more communication ports.

A docking station is disclosed that is adapted to append location information into the sensor signal data stream of intelligent sensors connected to docking station ports and enable that location information for each sensor to be communicated to a hospital network even when a multi-parameter patient monitor is not present. The docking station may include a graphical user interface that displays sensor status data, generates sensor-related alarms, and enables users to silence the alarms via the graphical user interface.

The invention provides a medical network security assessment method and system and a storage medium, and the method comprises the steps: obtaining hospital information of a to-be-assessed hospital and an operation index of network security equipment, and determining a target maturity level according to the hospital information and the operation index; performing data acquisition on the network security equipment to obtain equipment acquisition data, and calculating a process domain score and a capability domain score according to the equipment acquisition data; calculating a comprehensive maturity score according to the process domain score and the ability domain score, and determining a medical network security assessment level according to the comprehensive maturity score; and performing hierarchical comparison on the medical network security evaluation hierarchy and the target maturity hierarchy, and outputting a maturity evaluation report according to a hierarchical comparison result. According to the embodiment of the invention, medical network security assessment is carried out from three dimensions of a process domain, a capability domain and a hierarchy domain, all aspects of hospital network security operation are covered, and the accuracy of medical network security assessment is improved.

The invention discloses a wearable monitor alarm visual bracelet system based on the Internet of Things, and relates to the field of medical monitoring wearable equipment, the wearable monitor alarm visual bracelet system comprises a hardware unit and a matched software system, the hardware unit comprises an alarm visual bracelet, a monitor, a wireless access point, an access layer switch, a central workstation and a mobile server, the alarm visual bracelet is composed of a communication module, a vibration module, a display module, a control module and a power supply module. The software system comprises an HIS system, an AIMS system, a monitoring network, a hospital network and a data gateway. Compared with the prior art, the system has the advantages that timely alarm reminding is realized; the activity range of medical staff is expanded; efficient information transmission is realized; multi-parameter monitoring and accurate measurement are realized; data transmission is stabilized; and the data security is high.

The utility model discloses an efficient and safe medical image cloud data transmission architecture, which comprises a medical module, a cloud platform module, a safety encryption communication module and a firewall module, the medical module is connected with the cloud platform module through the firewall module and the security encryption communication module; and the medical module comprises a hospital platform module, a front service module and a data cache module. The medical image communication system has the beneficial effects that the medical image communication efficiency is improved on the basis of not changing a traditional equipment communication protocol and a hospital network structure bandwidth; dicom communication is converted into standard http communication, various internet security mechanisms can be endowed, and medical data security is guaranteed; based on a data scheduling strategy associated with a service, the defect that a request is transmitted first and a request is transmitted at the same time in the prior art is overcome, and the network bandwidth is utilized more efficiently; measures such as data compression, packaging and encryption are provided, data security and data transmission efficiency are improved, and the influence of fragmented files is solved.

The invention discloses a hospital network security event emergency response management method, and relates to the technical field of emergency response management. The method comprises the following steps of: counting an abnormal access time proportion and continuity of historical access time of a recent period when a target access person performs information access related to target access information on equipment in an associated equipment map, wherein the historical access time of the recent period belongs to the abnormal access time; comprehensive statistics is carried out on the sensitivity of sensitive access information, the equipment access concentration degree or the dispersion uniformity of the accessed information accessed by the target access personnel and the information associated with the target access information in the associated equipment map; when whether the access is abnormal or not cannot be directly judged according to the obtained access time feature data and the preprocessed access number abnormal weight value, counting the access number abnormal weight value of the to-be-detected access personnel at the same position as the target access personnel in the peak period and the low period to which the equipment is accessed in the associated equipment map; and judging whether the data access behavior is abnormal or not. The security event response efficiency can be improved.

A learning support system includes a storage configured to store an endoscope image and an annotation image generated in a first network, a processor acquiring the annotation image from the storage, using the annotation image to perform machine learning, and generating a trained model, and a server system performing communications with the processor, and being uploaded with a trained model. The storage and the processor each serve as a node constituting the first network, which is an intra-hospital network. The server system serves as a node constituting a second network, which is an extra-hospital network.

The application relates to a multi-hospital area medical image storage method and system and a storage medium. The method realizes the balance between data management efficiency and retrieval performance by detecting inter-hospital network parameters and storage resource states in real time and dynamically determining an archiving mode. Meanwhile, the influence of network fluctuation on operation stability is reduced by using standard communication instruction execution parameter measurement and cooperating with hysteresis switching judgment logic. In addition, by combining intermediate state identifier management and a two-phase commit protocol, the consistency conflict problem under multi-node concurrent modification is solved while ensuring cross-hospital area search accuracy, thereby improving the continuity of image storage business and the reliability of data access in a complex network environment.

Title of the Invention: Gas Supply Installation Including a Liquid Oxygen Source Supplying a Hospital Network. The invention relates to an oxygen supply installation (1) for supplying gaseous oxygen to at least one gas pipeline (2) carrying oxygen within a hospital facility, comprising a first oxygen source (10) containing oxygen (O2) fluidly connected to the gas pipeline (2), and a second oxygen source (20) containing gaseous oxygen (GOX) fluidly connected to the gas pipeline (2). The first oxygen source (10) comprises at least one LOX tank (11) containing oxygen in liquid form (LOX) and at least one evaporator device (12) for vaporizing liquid oxygen (LOX) from said at least one LOX tank (11) and obtaining gaseous oxygen (GOX) at a first pressure (P1). Abstract Figure: Figure 1

The application discloses a kind of optimization methods of hospital network security log, the method is realized by the network processing center of hospital network, a plurality of network boundary node units and network storage server;Through network boundary node unit, the system log in network is obtained, the dangerous behavior verification of user operation behavior is carried out, the first data packet or second data packet of network boundary node unit is sequentially carried out security event verification, the similarity of first data packet and second data packet is compared, to the similar place in second data packet, first data packet and second data packet are filtered and compressed and saved after, etc. Step, make it through one by one reduce useless data, reduce network congestion while, improve intrusion detection efficiency, to strengthen network boundary protection.

A docking station is disclosed that is adapted to append location information to a sensor signal data stream of smart sensors connected to docking station ports, and enables that location information for each sensor to be communicated to a hospital network even when a multi-parameter patient monitor is not present. The docking station may include a graphical user interface that displays the sensor status data, generates a sensor-related alert, and enables a user to mute the alert via the graphical user interface.

Method and apparatus for managing the physician referral process, whereby a referring physician (e.g., a primary care provider) refers a patient to another physician (e.g., a specialist) for a particular medical procedure, analysis or care. An aggregator provides systems and methods available to physicians and their administrative staff (herein collectively referred to as physicians or doctors) to: book appointments on behalf of their patients online through a doctor directory and calendar function; filter available doctors by specialty, subspecialty, procedure, insurance participation and / or hospital network; transfer a patient's personal information, medical history and pre-selected insurance forms from one doctor's office to another's, electronically; transfer and upload relevant forms and paperwork via fax from one doctor's office to another; track referrals historically (over time) on a by-doctor or by-patient basis; facilitate referrals to and from doctors in a certain network or group.