Multi-terminal patient information visual management system based on central nursing data

Abstract

The invention discloses a ward electronic calling and information display system based on central nursing data, and aims to solve the problems that an existing ward calling system depends on handwritten cards, and information updating is inconvenient. The system comprises a central nursing data server, a data interface module and an electronic terminal display device arranged in a ward. The data interface module is connected with a hospital nurse station core system, automatically obtains patient information and nursing grade change data, and synchronizes the patient information and the nursing grade change data to a central nursing data server. The ward terminal display device receives data from the server in real time, dynamically displays patient names, bed numbers and nursing grade information, and replaces traditional handwritten cards. According to the invention, automatic and real-time updating and electronic display of patient information from a nurse station system to a ward doorway are realized, the problems of updating lag and error proneness of a handwritten card are effectively avoided, and the efficiency and accuracy of nursing work are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of medical and nursing technology, and in particular to a multi-terminal patient information visualization management system based on central nursing data. Background Technology

[0002] In hospital ward nursing, ward call and patient information display systems are essential tools for nurses. Currently, widely used call systems typically have an information display area outside the ward, usually presenting basic patient information and care level in the form of physical cards (either insertable or adhesive). The information on these cards, including the patient's name and care level, relies entirely on manual entry by nurses. When a patient is admitted, transferred to another bed, or their condition changes, requiring an adjustment to the care level, nurses must manually find the corresponding physical card to erase, rewrite, or replace it.

[0003] This traditional method has revealed several drawbacks in practical application: First, manual operation is inefficient. In departments with high patient turnover or frequent changes in patient conditions, nurses need to spend a lot of time and energy maintaining information cards, increasing unnecessary non-nursing work time. Second, information updates are severely delayed. Data changes in the nurse station information system cannot be synchronized to the ward entrance in real time, resulting in inconsistencies between the information displayed on the cards and the system records, potentially leading to nursing errors. Furthermore, the cards have limited display content, unable to dynamically display more nursing information (such as isolation warnings, fall risks, etc.), and the fixed visual style cannot highlight information according to the urgency of the nursing level, resulting in unsatisfactory efficiency and effectiveness in information delivery. Summary of the Invention

[0004] In view of this, embodiments of the present invention aim to provide a multi-terminal patient information visualization management system based on central nursing data, in order to solve or alleviate the technical problems existing in the prior art.

[0005] The technical solution of this invention is implemented as follows: A multi-terminal patient information visualization management system based on central nursing data, comprising: The central nursing data server is used to store and maintain a unified patient care dataset that includes basic patient information, care levels, and care plans. The data interface module communicates with the core system of the hospital nurse station and is used to automatically obtain data updates from the core system of the nurse station and synchronize them to the central nursing data server. At least one ward terminal display device is installed in the patient's ward and is communicatively connected to the central nursing data server to obtain and display the dynamic nursing information of the current patient in the ward in real time.

[0006] Preferably, the dynamic nursing information displayed on the ward terminal display device includes the patient's name, bed number, and current nursing level, and the displayed information can be automatically refreshed as the data in the central nursing data server is updated; wherein, automatic refreshing is achieved through the following mathematical relationship: Let This indicates that information is being displayed. This refers to the data in the central nursing data server, when When changes occur, according to Update, i.e. ,in It is an information mapping function used to extract and render display information from server data, ensuring that the display information is consistent with the server data.

[0007] Preferably, the ward terminal display device is a touch screen device, configured to receive user touch operations to trigger functions, including displaying patient care plans, medical orders, or initiating calls; wherein, the touch operation is processed through the following mathematical relationship: Let Represents the coordinates of the user's touch point. Indicates the function trigger area, when At that time, execute the function ,in It is the touch coordinate. It is a predefined functional area. It is a trigger function used to implement user interaction responses.

[0008] Preferably, it also includes a nursing plan generation module, which is connected to the central nursing data server and is used to automatically generate or recommend corresponding standardized nursing plan items according to preset rules and patient care levels; wherein, the nursing plan generation is achieved through the following mathematical relationship: Let This indicates the generated care plan. Indicates the patient's level of care. If the set of preset rules is represented, then ,in It is a plan generation function used to output standardized nursing plan items based on nursing level and rules.

[0009] Preferably, the data interface module is configured to actively retrieve data changes from the nurse station core system by polling or listening for events, or passively receive data change notifications pushed by the nurse station core system; wherein, the polling method is described by the following mathematical relationship: Let Indicates the polling time interval. If time is represented, then the polling operation is performed on the time series. Execution, in which It is a fixed time interval used to periodically check for data changes and ensure timely data synchronization.

[0010] Preferably, it also includes a nurse workstation terminal, which is connected to the central nursing data server and provides a graphical user interface for nurses to modify patient care levels and review or adjust nursing plans automatically generated by the system. Any modification, after confirmation at the nurse workstation terminal, is automatically synchronized to the relevant ward terminal display devices via the central nursing data server. The synchronization process is described by the following mathematical relationship: Let... This indicates the data modified by the nurse. This indicates that the data in the central nursing data server will be synchronized. ,in It's about modifying data. This is updated server data, used to ensure data consistency across multiple terminals.

[0011] Preferably, the display content layout of the ward terminal display device adopts a configurable card-style or signboard-style layout, with each card or signboard area corresponding to one patient. Its visual style dynamically changes according to the patient's nursing level or special condition. The visual style change is achieved through the following mathematical relationship: Let... Indicates visual style. Indicates the level of care. To indicate a special state, , in It is a style mapping function used to dynamically adjust visual styles based on care level and status, enhancing the visualization of information.

[0012] Preferably, it also includes a mobile nursing terminal, which is wirelessly connected to the central nursing data server. This allows nurses to view and verify information on the ward terminal display device at the bedside, perform electronic recording of nursing procedures, and transmit the data back to the central nursing data server in real time. The data transmission is described by the following mathematical relationship: Let... Indicates nursing records, Indicating transmission delay, the return transmission process satisfies ,in It is the maximum allowable transmission delay, used to ensure real-time recording.

[0013] Preferably, the system further includes an alarm module, which is configured to trigger an alarm and provide visual and / or auditory alerts on relevant ward terminal display devices and / or nurse workstation terminals when specific data (such as critical value medical orders or nursing task timeouts) in the central nursing data server meets preset conditions; wherein, the alarm triggering is achieved through the following mathematical relationship: Let Represents a specific data value. Indicates a preset threshold, when An alarm is triggered at any time, among which It's monitoring data. It is a threshold value used to determine whether alarm conditions are met.

[0014] The present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the program is executed by the processor, it performs the functions of the system described above.

[0015] Compared with the prior art, the beneficial effects of the present invention are: Through seamless integration with the core system of the nursing station via the data interface module, patient information change data is automatically acquired and managed and distributed uniformly by the central nursing data server, replacing the traditional handwritten card mode, solving the problems of information lag and asynchrony, and ensuring the accuracy and timeliness of information.

[0016] The ward electronic display terminal can automatically refresh the displayed content based on the data from the central nursing server. Nurses no longer need to perform tedious manual operations such as filling in, erasing, and replacing cards. Especially when making high-frequency changes such as adjusting nursing levels, it significantly reduces non-nursing work time and improves their work efficiency.

[0017] Using electronic displays can dynamically display information and differentiate the presentation by changing colors, icons and other visual styles according to key indicators such as care level and special conditions (such as isolation and fall risk), making information delivery more intuitive and eye-catching, and overcoming the shortcomings of traditional card displays that have fixed content and monotonous format.

[0018] Unified data management based on the central nursing data server ensures a high degree of consistency in the information displayed by the nurse station system, the central nursing data server, and the ward terminal display devices, effectively avoiding recording errors or information contradictions that may be caused by manual operations, and improving the level of nursing safety management. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a system architecture diagram of a multi-terminal patient information visualization management system based on central nursing data according to the present invention; Figure 2This is a data flow diagram of a multi-terminal patient information visualization management system based on central nursing data according to the present invention. Detailed Implementation

[0021] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0022] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0023] This invention provides a multi-terminal patient information visualization management system based on central nursing data, including a central nursing data server, a data interface module, and at least one ward terminal display device.

[0024] The central nursing data server is used to store and maintain a unified patient care dataset that includes basic patient information, care levels, and care plans. In this embodiment, to ensure stable 24 / 7 operation of the system, the central nursing data server adopts a high-availability cluster architecture, with redundancy designed in computing, storage, network, and software services. Specific configurations include: a) Computation node: Use high-performance enterprise-grade servers (such as Dell PowerEdge R740). Configure multi-core processors (such as Intel Xeon Silver 4216, 32 cores) and large-capacity memory (128GB DDR4 ECC) to meet the computing needs of multi-user concurrent access and real-time data processing.

[0025] Equipped with dual gigabit network cards and supporting link aggregation, it improves network bandwidth and reliability.

[0026] b) Storage system: Employing all-flash storage arrays (such as the Dell EMC Unity 400F), it offers up to 50TB of usable capacity and is configured as RAID 10, balancing data read / write speeds with security.

[0027] SSD caching acceleration technology is used to further improve the response speed of frequently accessed data.

[0028] The dual-controller architecture ensures that the storage service remains uninterrupted in the event of a failure of either controller.

[0029] c) Network architecture: Deploy high-performance core switches (such as the Cisco Nexus 9300 series) to provide network bandwidth of up to 100Gbps and ensure high-speed data exchange within the data center.

[0030] Implementing VLAN (Virtual Local Area Network) isolation technology logically isolates the nursing data server network, nurse station network, terminal device network, etc., effectively controlling the network broadcast range and enhancing data security.

[0031] d) Software system architecture: The server runs a software platform based on a microservices architecture, decoupling different functional modules to facilitate independent development, deployment, and expansion. Core service components include: Data storage service: Based on a MySQL 8.0 cluster, it is responsible for persistently storing all patients' basic information, care levels, care plans, medical orders, and other structured data. The cluster deployment ensures data reliability and service continuity.

[0032] Real-time computing engine: Integrates the Apache Flink stream processing framework for real-time processing of continuously generated data streams, such as real-time monitoring and alarm condition judgment, nursing task status updates, etc., to achieve immediate business response.

[0033] Message Queue System: The system employs the Kafka distributed messaging system as an asynchronous communication bus between modules. When data changes, Kafka is used to send notifications to all subscribed terminals (such as ward terminals and mobile terminals), enabling real-time data push and synchronization.

[0034] API Gateway: Using Spring Cloud Gateway as a unified API entry point, it routes, authenticates, rate limits, and monitors all access requests, ensuring the security and stability of backend services.

[0035] Caching layer: Deploy a Redis 6.0 cluster to cache frequently accessed data (such as the patient list in the current ward and frequently accessed nursing plan templates). This reduces database read pressure and significantly improves system response speed.

[0036] Unified data storage and management: The central nursing data server maintains a structured, unified patient care dataset, with key tables including: Patient basic information form: patient_basic_info Care Level Chart: care_level Care Plan: care_plan Medical Orders Information Form: medical_orders Real-time monitoring table: realtime_monitoring The data interface module communicates with the core system of the hospital nurse station and is used to automatically obtain data updates from the core system of the nurse station and synchronize them to the central nursing data server. The data interface module is deployed on a dedicated server within the hospital's internal network. This server is equipped with dual network cards, which are connected to the nurse station's core system network and the central nursing data server network, respectively, to ensure the security and stability of data transmission.

[0037] Server configuration includes: Multi-core processor (at least 4 cores); 8GB or more of RAM; Gigabit Ethernet interface; Redundant power supply; Software architecture: The data interface module adopts a microservice architecture and includes the following core components: Protocol adaptation layer: Responsible for communication with different vendors and versions of the nurse station core system. It can parse multiple communication protocols (such as HL7, WebService, RESTful API, etc.), solving the problem of heterogeneity in hospital information systems. Data transformation engine: This engine transforms raw data of varying formats obtained from the nursing station system into a standardized data model unified by the system, according to preset mapping rules. Synchronization Controller: Responsible for managing data synchronization strategies, including selecting polling or listening modes, controlling synchronization frequency, and handling synchronization task queues; Anomaly handling module: Specifically responsible for capturing and handling various faults and data anomalies that may occur during communication, conversion, and synchronization, ensuring that a single point of failure will not cause the entire data stream to be interrupted; Monitoring and statistics module: Records key indicators such as interface running status, data throughput, and synchronization latency in real time, providing data support for system operation and maintenance and performance optimization; Specifically, the data interface module is configured to actively retrieve data changes from the nurse station core system by polling or listening for events, or passively receive data change notifications pushed by the nurse station core system; Polling method: The polling method is based on the following mathematical relationship Description: Let Indicates the polling time interval. If time is represented, then a polling operation is performed. In time series The system executes by proactively sending a query request to the nurse station system. middle It is a fixed time interval used to periodically check for data changes and ensure timely data synchronization.

[0038] Specific implementation process: The synchronization controller maintains a polling task queue; Query requests are periodically sent to the nurse station's core system according to time sequence. Example query: SELECT * FROM patient_data WHERE update_time > last_sync_time; After obtaining data changes, the data conversion engine is invoked to standardize the format; Event listener mode: When the nurse station core system supports event push, a listening mode is used: Register the event listener to the nurse station core system; Receive system notifications when data changes; Initiate a data retrieval request immediately to retrieve detailed change data.

[0039] Data freshness guarantee for event listening:

[0040] in: Delay in event reception; For the interface module's receiving time; The time when the event occurred; Set to the maximum allowed delay (usually set to 2 seconds).

[0041] Data transformation and mapping: After data is obtained from the nurse station system, it will enter a standardized data processing pipeline.

[0042] The data interface module includes a complete data conversion pipeline: Data standardization process: Source data parsing: Parsing the raw data format of the nursing station system (such as XML, JSON strings, or database records); Field mapping: Maps source data fields to target system fields according to predefined mapping relationships; Format conversion: Convert data into a unified data model defined by this system (such as standardized date format, code conversion, etc.); Data validation: Check the integrity (whether required fields are complete) and validity (whether the values ​​are within a reasonable range) of the data, and effectively filter out dirty data; Performance monitoring and fault tolerance The data interface module implements a comprehensive monitoring mechanism: Fault tolerance mechanism: Automatic retry: Automatically retry when communication fails; the number of retries is configurable. Resume interrupted download: Records the synchronization progress and resumes from the point of interruption after an interruption; Data caching: Temporarily stores data that cannot be immediately synchronized; Security Controls: The data interface module implements multi-layered security measures: Identity authentication: Verification using a two-way SSL certificate; Data encryption: TLS 1.3 encryption is used during transmission; Access control: Role-based access control; Audit logs: Record all data access operations; Detailed implementation process: Taking patient information updates as an example: a) Nurses modify patient care levels in the nursing station system; b) The data interface module detects changes through event listening; c) Immediately request detailed change data from the nursing station system; d) The data conversion engine converts the data into a standard format; e) The synchronization controller sends the updated data to the central nursing data server; f) Record synchronization status and operation logs; The entire process ensures that Complete within the defined timeframe.

[0043] At least one ward terminal display device is installed in the patient's ward and is communicatively connected to the central nursing data server to obtain and display the dynamic nursing information of the current patient in the ward in real time.

[0044] Preferably, the dynamic nursing information displayed on the ward terminal display device includes the patient's name, bed number, and current nursing level, and the displayed information can be automatically refreshed as the data in the central nursing data server is updated; wherein, automatic refreshing is achieved through the following mathematical relationship: Let This indicates that information is being displayed. This refers to the data in the central nursing data server, when When changes occur, according to Update, i.e. ,in It is an information mapping function used to extract and render display information from server data, ensuring that the display information is consistent with the server data.

[0045] In practice, the ward terminal display device dynamically displays the following core nursing information: Patient basic information area: Patient Name: Displays the full name of the patient currently in the bed in real time; Bed number: Physical bed identifier used for precise location; Nursing care level: Dynamically updated nursing care needs level (levels 1-5); Status indicator area: Nursing status icons: visual identifiers based on nursing level; Warning signs: Prominent reminders of special care needs; Timestamp: Displays the last updated time; Automatic refresh mechanism Data mapping model: To display synchronized mathematical relationships:

[0046] Mapping function definition:

[0047] Data extraction algorithm: For each information element, define a dedicated extraction function:

[0048]

[0049]

[0050] The Clamp function ensures that the level of care is within the valid range:

[0051] Real-time data synchronization Change the detection mechanism: Data change identification based on version number:

[0052] Visualization of nursing care levels: Level color mapping: Dynamic color coding based on care level:

[0053] Network anomaly handling Running in offline mode: Degradation solutions during network outages:

[0054] Cache data validity period:

[0055] Data synchronization recovery: Data synchronization after network recovery:

[0056] Preferably, the ward terminal display device is a touch screen device, configured to receive user touch operations to trigger functions, including displaying patient care plans, medical orders, or initiating calls; wherein, the touch operation is processed through the following mathematical relationship: Let Represents the coordinates of the user's touch point. Indicates the function trigger area, when At that time, execute the function ,in It is the touch coordinate. It is a predefined functional area. It is a trigger function used to implement user interaction responses.

[0057] Specifically, the touchscreen hardware specifications are as follows: Capacitive multi-touch screen, supporting 10 points of simultaneous touch; Surface hardness ≥7H, scratch-resistant coating; Touch accuracy: ±1mm; Response time: ≤8ms; Supports glove touch control and wet hand operation modes; Touch coordinate detection: Establish the mathematical relationship for touch mapping:

[0058] Function trigger area design: Region partitioning algorithm: Dynamically divide functional areas based on the displayed content:

[0059] Each functional area is defined as:

[0060] Definition of main functional areas: Nursing plan display area :

[0061] Trigger function:

[0062] Medical order information area :

[0063] Trigger function:

[0064] Call triggering area :

[0065] Trigger function:

[0066] When the user touches When in a region, the system executes This function requests and retrieves standardized care plan data for a patient through the API interface of the central nursing data server, and then renders and displays it in a new view or pop-up window, allowing nurses to instantly check the day's care tasks at the bedside.

[0067] touch Area trigger The system retrieves the patient's medical orders from the server and categorizes, sorts, and visualizes them (such as a timeline) according to categories like medication, treatment, and monitoring, making it easy for nurses to quickly access the information.

[0068] touch Area trigger The function will generate a structured call request, which not only includes patient and bed identifiers, but may also dynamically calculate the call priority based on the patient's current status (such as care level, whether there is a high-risk warning), and then distribute it in real time to nurse workstation terminals and / or mobile nursing terminals through the system (usually via message queue), forming a complete call-response closed loop.

[0069] Area collision detection: When a touch event occurs, perform area detection:

[0070] This system is used to handle situations where touch points fall within overlapping functional areas or where touch precision affects boundary conditions. It calculates all areas covered by touch points to provide a data basis for subsequent decisions.

[0071] For multi-touch, calculate the primary operation area:

[0072] in Indicates the area of ​​the region.

[0073] When a user performs multi-touch unintentionally or intentionally, the system can identify the functional area with the largest intersection with the touch area as the "main operation area" and then execute the corresponding function. This effectively avoids ambiguity in commands caused by accidental touches of the palm or simultaneous touches of multiple fingers, and improves the accuracy of interaction in complex operating environments.

[0074] Nursing plan display function Data Acquisition and Rendering: When the care plan is displayed, the system executes:

[0075] This function sends a request to the central nursing data server to retrieve the personalized nursing plan generated for the patient by the nursing plan generation module or reviewed and adjusted by the nurse. .

[0076] Content generation: The system uses a template engine to render the planning data into a visual interface:

[0077] Interactive scheduled operations: Nurses can update the status of planned items at the bedside (e.g., mark them as "completed" or "postponed"):

[0078] This update is synchronized back to the central nursing data server in real time via the data interface module, ensuring the timeliness and accuracy of nursing records.

[0079] Medical order information display function: When triggered When using this function, the system queries medical orders within a specified time range:

[0080] Medical orders are categorized as follows: The system automatically categorizes medical orders, making it easier for nurses to quickly locate them:

[0081] Category Collection:

[0082] Visualization of doctor's orders status: The system uses color coding to visually display the execution status of each medical order:

[0083] Call function implementation: Call request generation: When triggered When the function is invoked, the system generates a structured call request packet:

[0084] Call priority calculation: The system dynamically calculates the urgency of a call based on the patient's status to achieve intelligent triage.

[0085] in: Basic priority; Adjustments to clinical condition; Adjusted for time factors Call status tracking and feedback: The system updates and displays call status in real time. :

[0086] This status is synchronized to nurse workstation terminals and mobile nursing terminals via the central server, forming a unified call management closed loop throughout the hospital.

[0087] Touch response optimization and user experience: Response time guarantee: The total time from touch detection to interface update is strictly controlled:

[0088] Accidental touch protection mechanism: The system filters unintentional touches by judging the touch area and duration:

[0089] It also includes a nursing plan generation module, which is connected to the central nursing data server and is used to automatically generate or recommend corresponding standardized nursing plan items based on preset rules and patient care levels; wherein, nursing plan generation is achieved through the following mathematical relationship: Let This indicates the generated care plan. Indicates the patient's level of care. If the set of preset rules is represented, then ,in It is a plan generation function used to output standardized nursing plan items based on nursing level and rules.

[0090] System component composition: The nursing plan generation module contains the following core sub-modules: Rule engine: Performs matching and application of preset nursing rules. Plan Generator: Generates specific care plans based on rule output. Personalized adapters: tailoring standard treatment plans to patient characteristics Quality validator: Ensures the security and effectiveness of the generation plan. Data processing flow: Nursing care plans are generated through the following mathematical relationship:

[0091] in: For the generated care plan; Patient care level; For a set of preset rules; This is a function to generate the plan.

[0092] Nursing rule base construction Rule-based data structure: Each nursing rule is defined as follows:

[0093] Rule set:

[0094] Conditional matching function:

[0095] Nursing level mapping rules: Establish a mapping from care level to care intensity:

[0096] in: This is the nursing intensity coefficient; Depending on the complexity of the condition; For weight parameters ( ).

[0097] Plan generation algorithm implementation Basic plan generation: Generate an initial plan based on matching rules:

[0098] Matching rule set:

[0099] Priority calculation for planned items: Priority rating for each plan item:

[0100] Constraints:

[0101] Item conflict detection: Detect conflicting nursing interventions:

[0102] Conflict resolution strategies:

[0103] Personalized adaptation mechanism Patient feature vector: Constructing patient characteristic descriptions:

[0104] Similarity calculation: Similarity to standard cases:

[0105] Planned adjustment factor: Adjustment of standard plans based on individual differences:

[0106] Adjusting weights:

[0107] Time planning optimization Nursing activity schedule: Time-constrained planning:

[0108] Avoiding time conflicts: Ensure minimum time interval between activities:

[0109] Workload balance: Optimization of nurses' workload distribution:

[0110] Balance measurement:

[0111] in Standard deviation This represents the average workload.

[0112] Quality Assurance System Plan integrity check:

[0113] Require:

[0114] Security verification: Drug interaction testing:

[0115] in This is a drug interaction indicator function.

[0116] Effectiveness assessment: Expected results based on historical data:

[0117] Dynamic adjustment mechanism Status monitoring and updates: Real-time monitoring of changes in patient condition:

[0118] Planned update trigger conditions:

[0119] Incremental plan updates: Only the affected parts will be updated:

[0120] Rule learning and optimization Rule utility assessment: Evaluation of the actual effectiveness of each rule:

[0121] Rule weight adjustment: Utility-based dynamic adjustment of rule weights:

[0122] Learning rate:

[0123] Clinical application scenarios Typical Nursing Level Correspondence Plan: Level 1 (Basic Care): Vital signs monitoring, basic daily care, and health education:

[0124] Level 2 (General Care): Specialized nursing and rehabilitation guidance:

[0125] Level 3 (Enhanced Care): Closely monitor for special treatment:

[0126] Level 4 (Intensive Care): Continuous monitoring and advanced life support:

[0127] Level 5 (Special Care): One-on-one advanced specialist intervention:

[0128] Through the above implementation methods, the nursing plan generation module realizes intelligent plan generation based on rules and nursing levels, which significantly improves the efficiency and quality of nursing plan formulation and ensures that patients receive personalized and standardized nursing services.

[0129] It also includes a nurse workstation terminal, which is connected to the central nursing data server and provides a graphical user interface for nurses to modify patient care levels and review or adjust nursing plans automatically generated by the system. Any modification, after confirmation at the nurse workstation terminal, is automatically synchronized to the relevant ward terminal display devices via the central nursing data server. The synchronization process is described by the following mathematical relationship: Let... This indicates the data modified by the nurse. This indicates that the data in the central nursing data server will be synchronized. ,in It's about modifying data. This is updated server data, used to ensure data consistency across multiple terminals.

[0130] Nurse workstation terminal hardware configuration: 23.8-inch Full HD touchscreen display with multi-touch support; Intel Core i5 processor, 16GB DDR4 memory; 256GB SSD system disk + 1TB data storage; Gigabit wired network + Wi-Fi 6 wireless network; Medical-grade keyboard and mouse, spill-resistant; Integrated RFID / NFC card reader, supporting identity authentication; Backup UPS power supply ensures 4 hours of continuous operation; Software functional modules Core functional components: Patient information management module; Nursing plan review module; Nursing care level adjustment module; Real-time data synchronization engine; Access control and auditing module; Nursing level adjustment function Grade Adjustment Mathematical Model: Grade calculation based on clinical assessment indicators:

[0131] in: The calculated nursing level; This is a vector of clinical assessment indicators; Let the weight of the i-th indicator satisfy the following condition: ; Let be the normalized score for the i-th indicator.

[0132] This model uses a structured assessment system to transform nurses' judgments on various clinical indicators of patients (such as vital signs and activity levels) into a suggested nursing level, reducing the bias of subjective judgment and improving the accuracy and consistency of the classification.

[0133] Weighting of clinical assessment indicators: Stability of vital signs, activity level, cognitive status, treatment complexity, and safety risks

[0134] Impact analysis model of grade change:

[0135] in: To change the impact index; Let be the weighting coefficient, satisfying ; Clinical risk factors; The rate of change in resource consumption; When a nurse attempts to change their care level, the system automatically calculates the potential impact of the change. For example, a significant upgrade from level 2 to level 4 means a substantial increase in nursing workload ( The sharp increase in ) and potential clinical risks ( The system will then alert nurses, for example, "This change will significantly increase nursing workload; please confirm whether sufficient staff have been allocated," thus assisting nurses in making more informed decisions.

[0136] Plan quality assessment model:

[0137] Quality dimensions include:

[0138] in: The weights for each quality dimension; Score the rationality of the kth nursing intervention; For the patient feature vector; The template feature vector; Let l be the probability of the l-th security risk.

[0139] This provides nurses with a multi-dimensional, quantitative quality report for reviewing nursing plans. It automatically assesses the plan's completeness (whether all requirements are covered), rationality (whether each measure conforms to clinical guidelines), personalization (whether the differences from the standard template reasonably reflect the patient's characteristics), and safety (whether any known risks exist). The review interface visually displays the total score. The system displays scores for each sub-item and highlights low scores and risk points, greatly improving the efficiency and effectiveness of nurses' reviews.

[0140] Data synchronization mechanism Real-time synchronization reliability model:

[0141] in: For synchronization reliability; Let be the failure probability of the i-th step; System failure rate; This refers to the runtime.

[0142] Assess the reliability of multi-terminal data synchronization. By analyzing the failure probability of each link in the entire chain from workstation confirmation, forwarding through the central server, to reception at the nurse's workstation terminal, system weaknesses can be identified and targeted optimizations can be made (such as adding a retransmission mechanism), thereby achieving high reliability in practice.

[0143] Conflict Detection and Resolution: Data conflict detection function:

[0144] Conflict resolution strategies:

[0145] in: For data version number; For timestamps.

[0146] Access control and auditing Access verification model:

[0147] in: User roles; For the set of roles that are allowed to operate; Within the scope of the patient's authority; This refers to the valid time range.

[0148] A nurse must simultaneously meet the following conditions: 1) Role permissions (e.g., only head nurses can review plans); 2) Jurisdiction (only able to access patient data in their assigned ward); 3) Within their valid shift. Operations are only permitted if all three conditions are met, thus rigorously ensuring data security and healthcare accountability.

[0149] Operational risk assessment:

[0150] Risk factors include:

[0151] If a high-risk operation is detected (e.g., executing an unusual instruction at an abnormal time), the system will require secondary authentication (such as entering a password and swiping a supervisor's card) or send an alert to a higher-authority user, forming a proactive security defense.

[0152] Performance monitoring and user experience optimization System response time model:

[0153] Time models for each component:

[0154] in: For system-specific parameters; Number of operations; For data size; For network bandwidth; Due to network latency; The number of records in the database; The number of interface elements; Load balancing algorithms: Workstation load rating:

[0155] Load distribution strategy:

[0156] in: For resource utilization rate; The number of operations to be processed; Weighting coefficients Specific workflow: Nursing care level modification process: Permission verification:

[0157] Impact Analysis:

[0158] risk assessment:

[0159] Execution and Synchronization:

[0160] Through the above implementation methods, the nurse workstation terminal has achieved efficient functions such as nursing level adjustment, nursing plan review, and multi-terminal data synchronization, which significantly improves the efficiency and quality of nursing work.

[0161] Nursing care level modification process: Access verification: After a nurse logs in, the system calculates in real time. To verify whether they have the authority to modify the patient's classification.

[0162] Impact Analysis: After the nurse inputs new assessment indicators, the system calculates... If the impact index is high, a prompt box will pop up asking the nurse to confirm.

[0163] Risk assessment: The system calculates simultaneously Assess the risks inherent in the operation itself.

[0164] Execution and Synchronization: After the nurse's final confirmation, the system sends the new data M to the central server and monitors the synchronization process to ensure... (That is, if the synchronization reliability is higher than the threshold, it is marked as successful).

[0165] The display content layout of the ward terminal display device adopts a configurable card-style or board-style layout, with each card or board area corresponding to one patient. Its visual style dynamically changes according to the patient's nursing level or special condition; wherein, the visual style change is achieved through the following mathematical relationship: Let... Indicates visual style. Indicates the level of care. To indicate a special state, ,in It is a style mapping function used to dynamically adjust visual styles based on care level and status, enhancing the visualization of information.

[0166] Card-based / kanban layouts atomize and modularize complex patient information, facilitating rapid location and scanning. Meanwhile, dynamic visual style systems... This encodes key data that requires immediate attention (nursing level, critical status) into intuitive visual signals (color, shape, animation), enabling nurses to quickly assess the overall patient status of the entire ward from a distance or at a glance, greatly improving the efficiency and accuracy of information transmission.

[0167] The ward terminal display device adopts a configurable card-style or signboard-style layout, with each card corresponding to a patient, and the visual style dynamically changes according to the nursing level and special status.

[0168] Layout optimization objective function:

[0169] in: To maximize space utilization; Rate readability; Rate the aesthetics; Weighting coefficients, satisfying .

[0170] System administrators can define layout styles for different scenarios (such as geriatric wards vs. ICU) by adjusting weights (such as placing more emphasis on readability).

[0171] Information density control Content prioritization model: Information element priority:

[0172] in This is a function that influences nursing level and status.

[0173] Display the decision function: Whether information element i is displayed:

[0174] in Let i be the area required to display element i.

[0175] This model is used for intelligent information display when screen space is limited (especially on small-sized devices). Each information element (such as age, diagnosis, precautions) has a basic priority. It will be dynamically adjusted based on the patient's condition. Only those with a priority higher than the threshold will be considered. Furthermore, only elements with sufficient screen space will be rendered, ensuring that the most important information is displayed first under any circumstances.

[0176] Font size adaptive:

[0177] State change detection and response Change detection algorithm: Range of state change:

[0178] Transition animation selection: Animation strategies based on the magnitude of change: Smooth transitions without animation emphasize animation

[0179] Animation parameter calculation: Emphasizing the intensity of the animation:

[0180] Layout update strategy Update trigger conditions: Comprehensive decision-making for layout updates:

[0181] Incremental update optimization: Only the affected areas are updated:

[0182] in This represents a rectangular area.

[0183] Performance optimization model Rendering complexity assessment:

[0184] Memory usage prediction:

[0185] Adaptive optimization strategy: Adjust rendering quality based on system load:

[0186] Configuration Management System Layout configuration verification: Parameter constraints:

[0187] Theme parameterization: The parameter set for a standard topic:

[0188] Through the above implementation methods, the ward terminal display device achieves a flexible and configurable card-style or signboard-style layout, and can dynamically adjust the visual style according to the patient's nursing level and special condition, significantly improving the efficiency and accuracy of information transmission.

[0189] It also includes a mobile nursing terminal, which is wirelessly connected to the central nursing data server. This allows nurses to view and verify information on the ward terminal display at the bedside, perform electronic recording of nursing procedures, and transmit the data back to the central nursing data server in real time. The data transmission is described by the following mathematical relationship: Let... Indicates nursing records, Indicating transmission delay, the return transmission process satisfies ,in It is the maximum allowable transmission delay, used to ensure real-time recording.

[0190] Mobile nursing terminals are "mobile workstations" that extend to the patient's bedside, bringing the capabilities of information systems directly from the fixed nurses' station and ward walls to the front line of nursing procedures. This solves the problems of delays, forgetting, or misrecording caused by nurses having to memorize multiple procedures before returning to the nurses' station for paper-based record-keeping, ensuring the real-time nature, accuracy, and traceability of nursing records.

[0191] Mobile nursing terminal configuration: 7-10 inch medical-grade tablet devices, IP67 protection rating; Multi-core processor, 4GB or more of RAM, 128GB of storage; Supports 5G / Wi-Fi 6 wireless communication; Integrated barcode / RFID scanning module; Front and rear cameras support document and wound photography; Large-capacity battery supports 8 hours of continuous use; Medical-grade antibacterial shell for easy cleaning and disinfection; Software functional modules: Core functional components: Patient information verification module; Nursing operation record module; Real-time data synchronization engine; Offline work support system; Security authentication and access control; Data real-time performance assurance; Transmission delay control model:

[0192] in: This represents the actual transmission delay. For data transmission timestamps; For the server to receive timestamps; Set to the maximum allowed delay (usually set to 2 seconds).

[0193] Network quality adaptive algorithm:

[0194] in: Base timeout; For network packet loss rate; This represents the network latency coefficient. These are the weight parameters.

[0195] Patient information verification system Mathematical model for identity verification: Patient identity matching calculation:

[0196] Constraints:

[0197] Information consistency check: Consistency verification between terminal display information and central server data:

[0198] Require .

[0199] Before performing critical procedures (such as medication administration), the mobile nursing terminal compares the patient information (such as name, bed number, and allergy history) cached from the central server with the information displayed on the ward terminal and calculates a consistency coefficient. If the consistency rate is below 99% (possibly due to extreme synchronization delay), the system will force a data refresh and issue a warning, requiring nurses to confirm again, forming a double-insurance mechanism to prevent errors caused by information asynchrony.

[0200] Electronic Recording of Nursing Procedures Operation record integrity model:

[0201] Data quality score:

[0202] in: For data accuracy; For timeliness scoring; Score for completeness;

[0203] When a nurse tries to save a quality score When a record has a very low value (e.g., below 0.8), the system will prompt for missing or questionable items, forcing an improvement in record quality and ensuring the value of medical data from the source.

[0204] Nursing procedure time series modeling: in

[0205] For consecutive nursing procedures (such as vital sign measurement), the system records a timestamped sequence. It also automatically checks the rationality of the operation interval. If the interval between two records is too short, the system will prompt "Confirm duplicate record?", effectively preventing invalid data caused by accidental touch.

[0206] Real-time data synchronization mechanism Incremental synchronization algorithm: Only synchronize the data that has changed:

[0207] Improved synchronization efficiency:

[0208] To save data usage and reduce latency, synchronization between mobile devices and servers is mostly incremental. The system compares the current data with the data from the previous version. Only the differences will be uploaded. Synchronization efficiency. The closer it is to 1, the smaller the incremental data and the faster the synchronization speed.

[0209] Conflict resolution strategies: Timestamp-based conflict detection:

[0210] Solution rules:

[0211] Offline work support system Data cache management: Cache capacity optimization:

[0212] in: This represents the maximum number of cached records. Available storage space; This represents the average record size. This is for the safety factor.

[0213] Offline operation queue:

[0214] Sort by time:

[0215] Network synchronization restored: in

[0216] In the event of a network outage, all nursing record operations will be stored in a timestamped offline queue. Once the network is restored, the system will automatically process all operations in the queue in FIFO (First-In, First-Out) order. and the resulting data changes Δ Synchronized to the central nursing data server. Transparent to users, ensuring data integrity, and achieving a seamless experience of "offline availability, online synchronization".

[0217] Security and access control; User authentication: Multi-factor authentication strength:

[0218] in This represents the strength score of the k-th certification factor.

[0219] Logging into mobile nursing terminals typically requires two-factor authentication, such as "password + employee ID RFID scan" or "fingerprint + dynamic password". Authentication strength. Access to the system is only permitted once a security threshold is reached, strictly preventing unauthorized access.

[0220] Data encryption protection: Encryption strength assessment:

[0221] in This represents the size of the key space.

[0222] Operation permission verification:

[0223] Similar to nurse workstation terminals, mobile nursing terminals also implement strict access control based on roles, hierarchy, and time. A nurse can only access patient data within their authorized scope and during their shift.

[0224] User experience optimization Interface response time:

[0225] Require

[0226] Operation process optimization: Simplified operation steps:

[0227] Error rate reduced:

[0228] Specific workflow: Bedside nursing procedure: Patient authentication: Nurses use mobile devices to scan patient wristbands, and the system calculates... It was subsequently verified.

[0229] Information verification: The system automatically performs information consistency checks. The operation to be performed will be highlighted on the screen (e.g., "09:00 Intravenous injection of XXX").

[0230] Performing nursing procedures: Nurses perform procedures (such as injections, dressing changes).

[0231] Electronic recording: Nurses record the results, time, dosage, etc. on the terminal, and the system calculates the recording quality in real time. .

[0232] Real-time transmission: After recording is completed, the system immediately attempts to transmit the data back via incremental synchronization to ensure... (generally ) Exception handling process: Network outage detection: Switch to offline mode

[0233] Offline operation queue:

[0234] Network synchronization restored:

[0235] Performance indicators are guaranteed.

[0236] Through the above implementation methods, the mobile nursing terminal enables electronic recording of patient information viewing and verification at the bedside and the execution of nursing operations, and ensures that the records are transmitted back to the central nursing data server in real time, which significantly improves the efficiency and accuracy of nursing work.

[0237] The system also includes an alarm module, configured to trigger an alarm and provide visual and / or auditory alerts on relevant ward terminal display devices and / or nurse workstation terminals when specific data (such as critical value medical orders or nursing task timeouts) in the central nursing data server meets preset conditions; wherein, alarm triggering is achieved through the following mathematical relationship: Let Represents a specific data value. Indicates a preset threshold, when An alarm is triggered at any time, among which It's monitoring data. It is a threshold value used to determine whether alarm conditions are met.

[0238] Alarm module components: Condition detection engine: Real-time monitoring of data changes; Rule management module: Manages alarm rules and thresholds; Priority calculator: Determines the urgency level of an alarm; Distribution controller: coordinates alarm display across multiple terminals; Confirmation tracking system: Record alarm handling status; Core alarm model:

[0239] in: For monitoring data values; The preset threshold; For complex alarm conditions.

[0240] Alarm condition detection Univariate threshold detection: Basic alarm conditions:

[0241] in This is within the normal range.

[0242] It is applicable to vital signs (such as heart rate and blood pressure) and critical laboratory values. The system also sets upper and lower limits, and triggers an alarm immediately once the data exceeds the safe range.

[0243] Multivariate composite conditions: Complex alarm logic:

[0244] in This is the j-th sub-condition of the i-th composite condition.

[0245] This model is used to describe complex clinical scenarios. For example, the composite conditions for a "high risk of fall" alarm might be: Patient age 75 years old; History of falls; Sedative drugs were used; : Attempting to get out of bed on its own (inferred from mattress pressure sensor data).

[0246] when When true, a "high risk of falling" alarm is triggered, thus avoiding excessive alarms caused by a single condition.

[0247] Trend Alert Detection: Alerts based on data changes and trends:

[0248] in: For the amount of data change; For time intervals; This is the critical rate of change.

[0249] It can detect dangerous situations where the absolute value is still within the normal range, but the trend of change is abnormal. For example, if a patient's body temperature rises rapidly by 1.5°C within 1 hour, although the body temperature has not yet reached the high fever alarm threshold, the rapid upward trend may indicate a serious infection, and the system will issue an early "rapidly rising body temperature" trend alarm.

[0250] Alarm priority calculation Urgency assessment model:

[0251] in: Let be the weighting coefficient, satisfying ; This is the k-th evaluation function; Let be the patient's state vector.

[0252] Specific evaluation function: Clinical risk function:

[0253] Time sensitivity function:

[0254] in The duration of the abnormal state.

[0255] Resource impact function:

[0256] Dynamic priority adjustment: Prioritization based on environmental factors:

[0257] in: Workload impact factor; For time-related factors (such as nighttime coefficient).

[0258] Alarm triggering mechanism Condition satisfaction calculation:

[0259] Triggering decision:

[0260] False alarm prevention mechanism: Continuous confirmation algorithm:

[0261] in: This represents the number of consecutive sampling points; To confirm the threshold (usually 0.8).

[0262] Multi-terminal alarm distribution Terminal selection algorithm: Terminal allocation based on distance and role:

[0263] in: The physical distance to the patient; For character matching; For terminal availability.

[0264] Distribution priority calculation:

[0265] Rhythm pattern generation:

[0266] in: The duration of the i-th segment; Let be the duration of the i-th silent segment.

[0267] Volume adaptive: Environmental noise compensation:

[0268] Alarm confirmation and tracking Response time monitoring:

[0269] Require

[0270] Confirmation Chain Management: Multi-level confirmation mechanism:

[0271] in To confirm the number of levels.

[0272] Alarm escalation strategy: Automatic upgrades based on response time:

[0273] Intelligent alarm optimization False positive learning algorithm: False alarm pattern recognition based on historical data:

[0274] Threshold adaptive adjustment: Dynamic thresholds based on individual patient characteristics:

[0275] in Adjust the amount for personalization.

[0276] Alarm fatigue prevention: Similar alarm aggregation:

[0277] in Group similar alarms.

[0278] Performance monitoring and assurance System response time: End-to-end alarm delay:

[0279] Requires seconds

[0280] Reliability metrics: Alarm success rate:

[0281] Resource usage optimization: CPU usage control:

[0282] Require

[0283] Through the above implementation methods, the alarm module realizes intelligent multi-terminal alarm management, can accurately trigger alarms based on real-time changes in patient data, and provide effective visual and auditory warnings on relevant terminals, significantly improving nursing safety and response efficiency.

[0284] The present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the program is executed by the processor, it performs the functions of the system described above.

[0285] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in the present invention, and these should all be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A multi-terminal patient information visualization management system based on central nursing data, characterized in that: include: The central nursing data server is used to store and maintain a unified patient care dataset that includes basic patient information, care levels, and care plans. The data interface module communicates with the core system of the hospital nurse station and is used to automatically obtain data updates from the core system of the nurse station and synchronize them to the central nursing data server. At least one ward terminal display device is installed in the patient's ward and is communicatively connected to the central nursing data server to obtain and display the dynamic nursing information of the current patient in the ward in real time.

2. The multi-terminal patient information visualization management system based on central nursing data according to claim 1, characterized in that, The dynamic nursing information displayed on the ward terminal display device includes the patient's name, bed number, and current nursing level, and the displayed information can be automatically refreshed as the data in the central nursing data server is updated; wherein, automatic refreshing is achieved through the following mathematical relationship: Let This indicates that information is being displayed. This refers to the data in the central nursing data server, when When changes occur, according to Update, i.e. ,in It is an information mapping function used to extract and render display information from server data, ensuring that the display information is consistent with the server data.

3. The multi-terminal patient information visualization management system based on central nursing data according to claim 2, characterized in that: The ward terminal display device is a touch screen device, configured to receive user touch operations to trigger functions, including displaying patient care plans, medical orders, or initiating calls; wherein, the touch operation is processed through the following mathematical relationship: Let... Represents the coordinates of the user's touch point. Indicates the function trigger area, when At that time, execute the function ,in It is the touch coordinate. It is a predefined functional area. It is a trigger function used to implement user interaction responses.

4. The multi-terminal patient information visualization management system based on central nursing data according to claim 1, characterized in that, It also includes a nursing plan generation module, which is connected to the central nursing data server and is used to automatically generate or recommend corresponding standardized nursing plan items based on preset rules and patient care levels; wherein, nursing plan generation is achieved through the following mathematical relationship: Let This indicates the generated care plan. Indicates the patient's level of care. If the set of preset rules is represented, then ,in It is a plan generation function used to output standardized nursing plan items based on nursing level and rules.

5. The multi-terminal patient information visualization management system based on central nursing data according to claim 1, characterized in that: The data interface module is configured to actively retrieve data changes from the nurse station core system via polling or event listening, or passively receive data change notifications pushed by the nurse station core system; wherein, the polling method is described by the following mathematical relationship: Let Indicates the polling time interval. If time is represented, then the polling operation is performed on the time series. Execution, in which It is a fixed time interval used to periodically check for data changes and ensure timely data synchronization.

6. The multi-terminal patient information visualization management system based on central nursing data according to claim 1, characterized in that, It also includes a nurse workstation terminal, which is connected to the central nursing data server and provides a graphical user interface for nurses to modify patient care levels and review or adjust nursing plans automatically generated by the system. Any modification, after confirmation at the nurse workstation terminal, is automatically synchronized to the relevant ward terminal display devices via the central nursing data server. The synchronization process is described by the following mathematical relationship: Let... This indicates the data modified by the nurse. This indicates that the data in the central nursing data server will be synchronized. ,in It's about modifying data. This is updated server data, used to ensure data consistency across multiple terminals.

7. The multi-terminal patient information visualization management system based on central nursing data according to claim 1, characterized in that: The display content layout of the ward terminal display device adopts a configurable card-style or board-style layout, with each card or board area corresponding to one patient. Its visual style dynamically changes according to the patient's nursing level or special condition. The visual style change is achieved through the following mathematical relationship: Let... Indicates visual style. Indicates the level of care. To indicate a special state, , in It is a style mapping function used to dynamically adjust visual styles based on care level and status, enhancing the visualization of information.

8. The multi-terminal patient information visualization management system based on central nursing data according to claim 1, characterized in that: It also includes a mobile nursing terminal, which is wirelessly connected to the central nursing data server. This allows nurses to view and verify information on the ward terminal display at the bedside, perform electronic recording of nursing procedures, and transmit the data back to the central nursing data server in real time. The data transmission is described by the following mathematical relationship: Let... Indicates nursing records, Indicating transmission delay, the return transmission process satisfies ,in It is the maximum allowable transmission delay, used to ensure real-time recording.

9. The multi-terminal patient information visualization management system based on central nursing data according to claim 1, characterized in that, The system also includes an alarm module, configured to trigger an alarm and provide visual and / or auditory alerts on relevant ward terminal display devices and / or nurse workstation terminals when specific data (such as critical value medical orders or nursing task timeouts) in the central nursing data server meets preset conditions; wherein, alarm triggering is achieved through the following mathematical relationship: Let Represents a specific data value. Indicates a preset threshold, when An alarm is triggered at any time, among which It's monitoring data. It is a threshold value used to determine whether alarm conditions are met.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the program is executed by the processor, it implements the functions of the system as described in any one of claims 1 to 9.

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