A mobile wounded information management system and method

Abstract

The application provides a mobile wounded information management system and method, relates to the technical field of medical information management, and comprises the following modules: a data model module which structurally defines fields in a wounded ticket and medical records; a multi-terminal adaptation module which can be deployed on various mobile terminal devices; an intelligent voice input module which integrates a voice recognition engine and a natural language processing unit; an offline synchronization module which supports independent operation of the system in a network-free environment; a data management and security module which adopts symmetric and asymmetric encryption algorithms to encrypt data storage and transmission; and an information flow module which generates an electronic wounded ticket abstract and a two-dimensional code and a bar code containing key information for quick acquisition of historical information of wounded personnel by subsequent rescue institutions.

Description

Technical Field

[0001] This invention relates to the field of medical information management technology, and in particular to a mobile patient information management system and method. Background Technology

[0002] In emergency rescue environments, efficient management of patient information is crucial for improving treatment efficiency and quality. Patient information management is a core component of emergency medical support. The increasing number of emergencies and urgent medical situations places higher demands on response speed and processing capabilities. However, traditional methods of patient information management have many problems.

[0003] First, in terms of information collection, the traditional paper-based injury report system is inefficient. In actual emergency scenarios, medical personnel must manually fill out injury reports and record various information about the injured or sick. Filling out a single injury report typically takes 5-10 minutes. When treating multiple injured individuals, this consumes a significant amount of time, delaying direct treatment and severely impacting efficiency. Second, under the traditional method, different medical personnel may have varying understandings of the correct procedures for filling out injury reports, and manual input is prone to errors such as typos. These inaccurate and non-standard patient information can mislead subsequent treatment decisions, seriously affecting treatment outcomes. Furthermore, the lack of a real-time and accurate patient information aggregation mechanism in emergency command makes it difficult for commanders to promptly grasp key information such as the number of injured, the distribution of injuries, and treatment progress. This limits the response speed of emergency medical services, hindering the timely allocation of medical resources based on the actual situation, resulting in low resource utilization efficiency and impacting the overall rescue operation. Summary of the Invention

[0004] The purpose of this invention is to provide a mobile information management system and method for wounded and sick personnel, thereby solving the technical problems existing in the prior art.

[0005] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows:

[0006] A mobile patient information management system and method includes the following modules: a data model module, which constructs a data model based on treatment rules, defines the fields in injury reports and medical records in a structured manner, forms an electronic injury report template library and a medical record template library, and constructs a unified data dictionary and logical verification rules; a multi-terminal adaptation module, which is developed in the form of an APP, supports mainstream operating systems such as Android and iOS, and can be deployed on various mobile terminal devices such as smartphones, tablets, and medical PDAs; an intelligent voice input module, which integrates a voice recognition engine and a natural language processing unit, and has multiple built-in comprehensive databases, capable of converting the natural language descriptions of injuries and treatment processes spoken by medical staff into structured data in real time, and automatically filling them into the corresponding data fields; this module supports manual entry of vital signs and reserves interfaces for direct acquisition from equipment; an offline synchronization module, which supports the system to run independently in a network-free environment, with the data stored in a local encrypted database; when an available network is detected, the local data is synchronized to the superior command center or data center through a secure channel; this module adopts... The system features a hybrid architecture, supporting offline operation on mobile devices. The data management and security module employs symmetric and asymmetric encryption algorithms for data storage and transmission encryption. It supports encrypted packaging of single and batch casualty data, exporting it as pre-defined format files via USB, Bluetooth, and NFC for archiving and transfer. The information flow module automatically assists in determining the priority and appropriate transfer method based on the entered injury information and the built-in algorithm of the treatment rules. It generates electronic injury report summaries, QR codes, and barcodes containing key information, allowing subsequent medical institutions to quickly access historical information about the casualties. This module supports multi-dimensional statistical analysis reports and allows for summary export.

[0007] Furthermore, it also includes a full-process treatment record module, which supports real-time addition of records at each stage of treatment, surgery, and referral, forming a complete, time-continuous electronic treatment file, including records of changes in injury, treatment measures, examination results, and medication.

[0008] Furthermore, the data model module includes a dual-purpose mechanism to adapt the data model to the treatment needs of local emergency medical institutions.

[0009] Furthermore, the interface of the multi-terminal adaptation module can adaptively adjust according to the screen size and resolution of different terminals, providing multiple interaction methods such as touch operation and handwriting input.

[0010] Furthermore, the intelligent voice input module includes the following units: an acquisition and preprocessing unit, supporting multi-source voice acquisition and noise reduction processing, and using spectral subtraction and LMS adaptive filtering algorithms to suppress background noise; a recognition unit, integrating an offline speech recognition engine, supporting dynamic language model loading, and dynamically loading language models in relevant fields according to the currently input fields; a natural language processing and semantic parsing unit, using a bidirectional LSTM-CRF model for word segmentation and part-of-speech tagging, and recognizing medical entities and their relationships in the text based on a BERT pre-trained model; and a structured field mapping and filling unit, which automatically assigns the parsed semantic information to the corresponding structured fields, converts colloquial expressions into standard medical terms, and resolves ambiguities through context analysis and common collocation statistics.

[0011] Furthermore, the offline synchronization module supports direct data connection between devices through a chain relay synchronization mechanism, and data is uploaded level by level along the subsequent link.

[0012] Furthermore, the chain relay synchronization mechanism includes automatically scanning other system devices around the device after the device is powered on to form a dynamic mesh network; dynamically adjusting the data transmission path and priority according to the urgency of the data and the role of the nodes; and using a version vector-based conflict detection algorithm to resolve data conflicts between multiple nodes and support resuming interrupted transmission.

[0013] Furthermore, the data management and security module uses a physical encryption anchor mechanism to support the encrypted writing of critical data of the wounded to a micro USB and a Type-C encrypted USB key.

[0014] Further steps include: deploying a client app on a mobile terminal, selecting the corresponding data model based on the usage scenario, and loading the appropriate electronic injury ticket template and medical record template; inputting basic information and injury descriptions of the injured person through voice input or manual touch control; the voice input method converts spoken natural language into structured data through a voice recognition engine and natural language processing unit, and automatically fills the corresponding data fields; during emergency treatment, surgery, and observation, information on injury changes, treatment measures, and medication is recorded in real time to form a continuous electronic medical record; the priority of evacuation is automatically recommended based on injury information, and an electronic injury ticket with a QR code and a treatment summary are generated; during evacuation, medical staff can record treatment information offline; the receiving institution can quickly obtain complete information about the injured person by scanning the code without repeated input; all data is stored in a local encrypted database in real time, key information is anonymized, all operation logs are recorded, and access permissions are set for different users; statistical analysis is performed on the stored injured person data to generate reports on injury distribution, treatment efficiency, and resource consumption.

[0015] Furthermore, the priority determination for evacuation is based on multiple dimensions of indicators such as injury level, vital signs, and treatment effect, and a weighted scoring method is used to calculate the priority score; the electronic injury ticket contains a unique identifier ID, core injury information, treatment record, and core fields of evacuation information, and the QR code is dynamically encrypted and generated with a configurable validity period.

[0016] Compared with the prior art, the present invention has the following beneficial effects:

[0017] (i) This invention reduces the time for filling out a single injury report from 5-10 minutes in the traditional paper method to less than 1 minute through intelligent voice input. It significantly improves the efficiency of information registration in mass casualty treatment drills, allowing medical staff to devote more time and energy to direct treatment work and effectively alleviates the time conflict between treatment and recording in emergency scenarios.

[0018] (ii) The structured data model and standardized template of this invention ensure the standardization of data collection, intelligent voice recognition and semantic parsing reduce manual input errors, and the built-in verification rules can prompt unreasonable data in real time, which significantly reduces the error rate of key information, thereby accurately and standardly collecting information on the wounded and sick, providing a reliable basis for subsequent treatment decisions, and improving the quality and accuracy of information.

[0019] (iii) This invention gathers information on the wounded and sick in real time and accurately, providing a dynamic injury situation map for emergency command, enabling commanders to grasp key information such as the number of wounded and sick, injury distribution, and treatment progress in a timely manner, thereby improving the response speed and resource utilization efficiency of emergency support.

[0020] (iv) The intuitive interface design, guided operation process and intelligent auxiliary functions of this invention reduce the learning time of the system. The guided filling function of the APP reduces the memorization requirements of complex document filling rules, improves the standardization of actual operation, and reduces training costs and usage threshold. Attached Figure Description

[0021] Figure 1 This is a framework diagram of a mobile patient information management system and method disclosed in this invention. Detailed Implementation

[0022] To make the content of this invention easier to understand, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Identical components are represented by the same reference numerals. It should be noted that the terms "front," "rear," "left," "right," "up," and "down" used in the following description refer to directions in the accompanying drawings, while the terms "inner" and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0023] like Figure 1 As shown, this embodiment provides a mobile patient information management system and method, including the following modules:

[0024] The data model module constructs a data model based on treatment rules, structurally defining fields in wound slips and medical records to form electronic wound slip template libraries and medical record template libraries, and building a unified data dictionary and logical verification rules. The data model includes: a basic information model for the wounded, a wound slip data model, a medical record model, and a evacuation record model. The basic information model for the wounded includes basic information fields such as name, gender, age, place of origin, blood type, and allergy history. The wound slip data model is designed according to the wound slip format stipulated in the combat wound treatment rules, including fields such as wound location, wound type, wound type, severity of injury, and evacuation priority. The medical record model includes chief complaint, present illness, and past medical history. The system includes complete medical record fields such as physical examination, auxiliary examinations, diagnosis, treatment measures, surgical records, medication records, and outcomes, supporting the addition and integration of multiple treatment records. The evacuation record model includes evacuation information such as evacuation method, evacuation tool number, escort personnel, departure time, arrival time, treatment en route, and changes in vital signs. The data dictionary and logical validation rules include data validation rules, business logic rules, and template adaptation rules. The data validation rules define the value range, required fields, and data format for each field. The business logic rules automatically recommend possible complications based on the injury location and type, and automatically suggest solutions based on vital sign data. The module indicates the risk of shock, etc.; the template adaptation rules automatically select the appropriate template according to the treatment scenario; the data model module includes a dual-use mechanism, adapting the data model to the treatment needs of local emergency medical institutions. When using it, only the corresponding data model needs to be replaced; specific application scenarios are not limited here. This module also has a package medical order management function and a medical staff name annotation function. The package medical order management function is a batch medical order management capability customized for emergency treatment scenarios, improving the efficiency and standardization of medical order issuance in emergency treatment scenarios, while taking into account the special nature of treatment and the adaptability to local emergency medical institutions; specifically, based on combat injury treatment rules and local... The emergency treatment guidelines include pre-set multi-dimensional medical order package templates covering different injuries, such as traumatic brain injury, penetrating chest and abdominal cavities, and multiple fractures; standardized medical order combinations for different treatment stages, such as on-site emergency care, pre-hospital transfer, in-hospital emergency care, and postoperative monitoring; the medical staff name annotation function not only records the operator's name, but also associates it with their professional title, department / treatment unit, operation permission level, and specific role in the treatment, which is bound to key operation nodes in the medical record model and evacuation record model; each treatment operation is automatically annotated with the operator's name and operation time, and supports searching operator information by patient ID, operation type, and time range.

[0025] The multi-terminal adaptation module is developed as an app, supporting mainstream operating systems such as Android and iOS, and can be deployed on various mobile terminal devices such as smartphones, tablets, and medical PDAs. The module's interface can adaptively adjust to the screen size and resolution of different terminals, providing multiple interaction methods such as touch operation and handwriting input. Specifically, it uses a single-column scrolling layout on smartphones and a multi-column split-screen layout on tablets to fully utilize screen space. It supports multiple login methods such as fingerprint, face recognition, and password, loads functional modules with appropriate permissions based on user roles, displays a list of casualties awaiting evacuation, and provides evacuation priority assessment tools and evacuation plan recommendations. A persistent quick operation bar is set at the bottom of the main interface, including voice input functionality. Key buttons are located in the lower half of the screen, supporting left and right swipes to switch casualties, reducing finger movement distance. It should be noted that this module also has an anti-accidental touch function; important operations require secondary confirmation to avoid errors caused in tense environments, and supports rescue personnel issuing instructions while wearing gloves.

[0026] The intelligent voice input module integrates a speech recognition engine and a natural language processing unit, with multiple built-in comprehensive databases. It can convert verbal descriptions of injuries and treatment processes from medical personnel into structured data in real time and automatically populate the corresponding data fields. Whether it's the injury diagnosis field in the patient's basic information table or the treatment measures field in the treatment record module, data can be entered quickly and accurately, improving the efficiency and accuracy of information collection. This module supports manual entry of vital signs and has reserved interfaces for direct data collection from equipment. It adopts a dual-mode design of manual entry and direct data collection from equipment to adapt to different treatment scenarios. The manual entry mode optimizes the operation interaction logic, providing a convenient entry interface for core vital sign fields such as body temperature, pulse, respiration, blood pressure, and blood oxygen saturation. It supports quick filling, modification, and confirmation, while simultaneously linking with the logical verification rules of the data model module to perform real-time verification of the entered data, avoiding human input errors. Incorrect; For emergency treatment and scenarios where medical staff have limited hands, manual data entry can be completed with voice assistance, enabling dictation-based data entry, further improving operational efficiency, ensuring the timeliness of vital sign data collection, and providing rapid support for injury assessment; The device direct acquisition mode adopts a standardized API interface design, with interface specifications following industry-standard practices, possessing good compatibility and scalability; The reserved interface can achieve seamless integration with various vital sign monitoring devices, supporting real-time direct acquisition of device data and automatic synchronization to corresponding data fields, eliminating the need for medical staff to manually re-enter data, reducing human error, and significantly improving the efficiency and accuracy of vital sign data collection; At the same time, the API interface supports flexible integration with future added medical systems, monitoring equipment, and data platforms, without requiring large-scale modifications to the core functions of this module, only requiring interface parameter adaptation and debugging to achieve data interoperability and functional linkage.

[0027] The intelligent voice input module includes the following units:

[0028] The acquisition and preprocessing unit supports multi-source voice acquisition and noise reduction processing. The multi-source voice acquisition supports various audio inputs such as the device's built-in microphone, Bluetooth headset, and noise-canceling microphone, thereby adapting to different environmental needs. It uses spectral subtraction and LMS adaptive filtering algorithms to suppress background noise and improve the accuracy of audio input.

[0029] The recognition unit integrates an offline speech recognition engine and supports dynamic language model loading. It can dynamically load language models related to the current input field. This unit also has a custom lexicon, which includes information such as injury description, treatment measures, anatomical sites, and instrument names, and supports medical personnel to add entries independently.

[0030] The Natural Language Processing and Semantic Analysis Unit uses a bidirectional LSTM-CRF model for word segmentation and part-of-speech tagging. Based on the BERT pre-trained model, it identifies medical entities and their relationships in the text. For example, in the case of penetrating injury of the right forearm combined with hemorrhagic shock, entities are extracted from the above information, namely, right forearm, penetrating injury, hemorrhagic shock and their related relationships.

[0031] The structured field mapping and filling unit automatically assigns parsed semantic information to corresponding structured fields, converting colloquial expressions into standard medical terminology. In emergency situations, medical personnel may use colloquial expressions due to time constraints or habit. This unit utilizes its rich medical terminology knowledge base to cleverly transform the entered colloquial expressions into rigorous and standardized medical terms. Furthermore, it resolves ambiguities through contextual analysis and statistics on common collocations. Specifically, this unit accurately determines the true meaning of each expression in a specific context by deeply analyzing the surrounding context and combining data experience accumulated from statistics on common collocations, thus reducing the time cost and cognitive burden of information entry.

[0032] The offline synchronization module supports independent system operation in environments without network connectivity. Data is stored in a local SQLCipher encrypted database, effectively preventing unauthorized theft or tampering while offline. When a network is detected, local data is synchronized to the upper-level command center or data center via a secure channel. During this process, users can manually trigger immediate synchronization and select the synchronization range in the data management interface. For ease of use, this module automatically discovers other system devices and synchronization nodes within the local area network using the mDNS / Bonjour protocol, enabling data sharing between devices within the same ambulance facility. This module adopts... Hybrid architecture, wherein, The architecture supports convenient web-based access, allowing medical staff to quickly log in to the system via a browser to perform data queries, synchronization management, and other operations without installing additional clients. It is suitable for scenarios such as fixed emergency stations and command centers. The architecture focuses on local offline operation capabilities and is specifically optimized for mobile devices, fully supporting mobile offline working mode. At the same time, the mobile offline mode optimizes the user interface to adapt to the operating habits of mobile scenarios such as outdoor activities and emergency transport, and supports functions such as one-handed quick operation and voice-assisted input, further improving work efficiency in offline mode.

[0033] The offline synchronization module supports direct data connection between devices via a chain-relay synchronization mechanism, and uploads data level by level along the subsequent link; the chain-relay synchronization mechanism includes...

[0034] R1: After the device is powered on, it automatically scans other system devices in the vicinity to form a dynamic mesh network. The mesh network is flexible and adaptive, and the nodes of the device are interconnected, which enhances the robustness of the system and the reliability of data transmission.

[0035] R2: Dynamically adjusts data transmission paths and priorities based on data urgency and node roles. This dynamic adjustment ensures that important data is transmitted and processed as soon as possible, improving the overall system's data processing efficiency in complex environments.

[0036] R3: Employs a version vector-based conflict detection algorithm to resolve multi-node data conflicts, addressing the issue of multiple nodes simultaneously modifying the same wounded soldier's data; supports breakpoint resumption to avoid data retransmission waste when the network is unstable.

[0037] The data management and security module employs symmetric and asymmetric encryption algorithms for data storage and transmission encryption. The symmetric encryption algorithm uses the same key for both encryption and decryption, ensuring that locally stored patient data—whether basic personal information, detailed injury diagnoses, or complex treatment records—is converted into encrypted form, preventing unauthorized access. The asymmetric encryption algorithm utilizes a public-private key mechanism to establish a two-way secure channel for data transmission. The sender uses the receiver's public key to encrypt the data, and only the receiver's uniquely matched private key can decrypt it. This encryption method not only ensures data confidentiality during transmission but also achieves data integrity verification and authentication through technologies such as digital signatures, effectively preventing data tampering. The system is designed to prevent alteration or forgery. The symmetric and asymmetric encryption algorithms are existing technologies, and their specific operation procedures will not be elaborated upon here. It supports encrypted packaging of single or batch casualty data, exporting it as a pre-defined format file via USB, Bluetooth, or NFC for archiving and transfer. The data management and security module uses a physical encryption anchor mechanism, supporting the encrypted writing of critical casualty data to a micro USB or Type-C encrypted USB key. The micro USB or Type-C encrypted USB key has a built-in SE security chip, which can encrypt and write critical casualty data into it. This module supports writing multiple encryption anchors simultaneously, achieving redundant information backup and reducing the risk of single-media loss. The recipient only needs to insert the encryption anchor into the terminal device, and the system can automatically identify and decrypt the imported data; the entire process takes no more than 10 seconds. This module adopts... Encryption provides secondary encryption protection for all network-transmitted data, building an end-to-end transmission security barrier. Simultaneously, it supports device binding, allowing system access permissions to be linked to designated terminal devices. Furthermore, it supports multiple recognition methods such as fingerprint, facial recognition, and password to prevent unauthorized personnel from misusing accounts to access and manipulate data, ensuring that every data access and operation is traceable and controllable. Moreover, the entire process complies with the pilot specifications for electronic medical record application management and network security level protection requirements, ensuring compliant and secure data processing. This protects the privacy of injured patients while meeting the relevant requirements of medical industry supervision and auditing, achieving the dual goals of data security and compliance management.

[0038] The information flow module, based on the entered injury information and the built-in algorithm of the treatment rules, conducts a comprehensive and in-depth analysis of the injuries. It then automatically assists in determining the priority and appropriate evacuation method. For example, for severely injured patients with unstable vital signs, the system will determine that they have a higher evacuation priority, ensuring that the injured can be sent to emergency medical facilities as soon as possible to gain treatment time. Simultaneously, this module will also comprehensively consider various factors based on the characteristics of the injury and the actual situation, such as the patient's physical condition, local traffic conditions, and resource allocation of emergency medical facilities at all levels, to match the patient with an appropriate evacuation method. It generates an electronic injury report summary containing key information, along with a QR code and barcode, allowing subsequent medical facilities to quickly access the patient's historical information. By scanning the information, subsequent emergency medical facilities can quickly and accurately exchange... This module retrieves historical information on the injured, improving information transmission efficiency, reducing treatment delays caused by poor communication, and ensuring the continuity and accuracy of the treatment process. It supports multi-dimensional statistical analysis reports, allows for summary export, and comprehensively covers core data throughout the entire treatment and transfer process, supporting medical and management personnel in data statistics and analysis. Notably, this module supports automatic labeling of the injury severity and treatment priority of the injured. Specifically, different colors are used to indicate patient priority, including high, medium, and low priorities. This facilitates medical personnel in quickly identifying key individuals in emergency treatment and mass patient transfer scenarios, improving work efficiency. Specific colors are not limited here; operators can customize them according to actual needs to further enhance the module's practicality and adaptability.

[0039] The full-process treatment record module has multi-dimensional recording functions, supporting real-time addition of records at each stage of treatment, surgery, and referral, forming a complete, time-series continuous electronic treatment file, including records of changes in injury, treatment measures, examination results, and medication. It also automatically summarizes the main treatment information at each stage and generates a stage summary. This module also allows adding photos, audio, and video as attachments to the treatment records, thereby enriching the recording dimensions.

[0040] A mobile information management system and method for wounded and sick personnel includes the following steps:

[0041] S1: Deploy a client APP on the mobile terminal, select the corresponding data model according to the usage scenario, and load the adapted electronic injury ticket template and medical record template to ensure that medical staff can quickly and accurately fill in important information in emergency situations;

[0042] S2: Basic information and injury descriptions of the injured can be entered via voice input or manual touch control to meet the operating habits and actual needs of medical staff in different scenarios; the voice input method uses a voice recognition engine and a natural language processing unit to convert spoken natural language into structured data and automatically fill it into the corresponding data fields; the manual touch input method allows medical staff to directly enter information through the screen of the mobile terminal by manually clicking, typing, etc.

[0043] S3: During emergency treatment, surgery, and observation, information on changes in injury, treatment measures, and medication is recorded in real time to form a continuous electronic medical record. Through comprehensive and continuous recording, a complete record of the patient's treatment process is provided to medical personnel, which helps them to fully understand the patient's condition and provides a strong basis for subsequent treatment decisions.

[0044] S4: The system automatically recommends evacuation priorities based on injury information. The priority determination is based on multiple dimensions, including injury severity, vital signs, and treatment effectiveness, and a weighted scoring method is used to calculate the priority score. Then, an electronic injury ticket with a QR code and a treatment summary are generated. The electronic injury ticket includes a unique identifier (ID), core injury details, treatment records, and core evacuation information fields. The QR code is dynamically encrypted and its validity period is configurable. During evacuation, medical personnel can record treatment information offline. This information is temporarily stored locally on the mobile terminal and automatically synchronized to the system database after network recovery, ensuring the integrity and continuity of treatment information. The receiving institution can quickly obtain complete patient information by scanning the code, eliminating the need for repeated data entry, improving information transmission efficiency, and avoiding errors and delays caused by duplicate data entry.

[0045] S5: All data is stored in a local encrypted database in real time. Key information is anonymized, all operation logs are recorded, and access permissions are set for different users. For critical information, the system performs anonymization. Personal identification information involving the privacy of the injured or sick, such as ID card numbers and home addresses, is transformed or hidden by the system using specific algorithms to ensure data availability while maximizing the protection of the injured or sick's privacy. Simultaneously, the system records all operation logs in detail, including information entry time, operator identity, and operation content, to facilitate traceability and auditing of the entire information management process. Access permission settings ensure that data can only be accessed and operated by authorized personnel, effectively preventing data leakage and accidental operation.

[0046] S6: Perform statistical analysis on the stored wounded and sick personnel data to generate reports on injury distribution, treatment efficiency, and resource consumption. The injury distribution report displays the frequency and proportion of different types of injuries within a certain time range in an intuitive chart format. The treatment efficiency report focuses on indicators such as the time interval from injury to the first treatment received by the wounded or sick personnel, and the average treatment time for different injuries. The resource consumption report statistically analyzes the use of various medical resources during the treatment of wounded and sick personnel, such as the quantity of medicines consumed and the frequency of use of medical equipment.

[0047] This system adopts a flexible cloud-edge-terminal upper layer architecture to cope with different network conditions and application scenarios;

[0048] The terminal application layer is the core of the system, directly providing all business functions to medical staff, including a client APP, a local encrypted database, and a multimodal input interface; the independence of the terminal layer ensures offline operation capability.

[0049] The edge synchronization layer acts as a bridge between the terminal and the cloud, mainly solving the problem of data aggregation and synchronization within a local area. It includes local area network synchronization nodes, relay servers, and self-organizing network modules. The edge synchronization layer reduces the dependence on the network and improves the robustness of the system.

[0050] The cloud data center serves as the system's backend support, primarily responsible for the aggregation, storage, analysis, and management of global data, including a central database, a data analysis platform, and a permission management system. The cloud data center provides a global perspective and advanced analytical capabilities. The system can automatically switch its operating mode based on actual network conditions, running only the terminal layer when there is no network; initiating edge layer synchronization when a local network is available; and achieving full data synchronization with the cloud when a wide area network is connected.

[0051] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A mobile information management system for wounded and sick soldiers, characterized in that: Includes the following modules: The data model module constructs a data model based on treatment rules, defines the fields in injury certificates and medical records in a structured manner, forms an electronic injury certificate template library and a medical record template library, and constructs a unified data dictionary and logical verification rules. Multi-terminal adaptation module: This module is developed in the form of an APP and supports mainstream operating systems such as Android and iOS. It can be deployed on various mobile terminal devices such as smartphones, tablets, and medical PDAs. The intelligent voice input module integrates a speech recognition engine and a natural language processing unit, and has multiple built-in comprehensive databases. It can convert the natural language descriptions of injuries and treatment processes spoken by medical staff into structured data in real time and automatically fill them into the corresponding data fields. This module also supports manual entry of vital signs and has reserved interfaces for direct acquisition from equipment. The offline synchronization module allows the system to operate independently in environments without a network, storing data in a local encrypted database. When a network is detected, the local data is synchronized to the upper-level command center or data center via a secure channel. This module employs... Hybrid architecture, mobile devices support offline operation; The data management and security module uses symmetric and asymmetric encryption algorithms to encrypt data during storage and transmission; it supports encrypted packaging of single or batch casualty data, which can be exported as predefined format files via USB, Bluetooth, or NFC for archiving and handover. The information flow module automatically assists in determining the priority and appropriate transfer method based on the entered injury information and the built-in algorithm of the treatment rules; it generates electronic injury report summaries, QR codes, and barcodes containing key information, allowing subsequent medical institutions to quickly obtain the injured person's historical information; this module supports multi-dimensional statistical analysis reports and supports summary export.

2. The mobile patient information management system according to claim 1, characterized in that: It also includes a full-process treatment record module, which supports real-time addition of records at each stage of treatment, surgery, and referral, forming a complete, time-continuous electronic treatment file, including records of changes in injury, treatment measures, examination results, and medication.

3. The mobile wounded and sick personnel information management system according to claim 1, characterized in that: The data model module includes a dual-purpose mechanism, which adapts the data model to the treatment needs of local emergency medical institutions.

4. The mobile wounded and sick personnel information management system according to claim 1 or 3, characterized in that: The multi-terminal adaptation module interface can adaptively adjust according to the screen size and resolution of different terminals, providing multiple interaction methods such as touch operation and handwriting input.

5. The mobile wounded and sick personnel information management system according to claim 1 or 3, characterized in that: The intelligent voice input module includes the following units: The acquisition and preprocessing unit supports multi-source speech acquisition and noise reduction processing, and uses spectral subtraction and LMS adaptive filtering algorithms to suppress background noise. The recognition unit integrates an offline speech recognition engine and supports dynamic language model loading, dynamically loading language models related to the current input field. The Natural Language Processing and Semantic Analysis Unit uses a bidirectional LSTM-CRF model for word segmentation and part-of-speech tagging, and identifies medical entities and their relationships in text based on a BERT pre-trained model. The structured field mapping and filling unit automatically assigns the parsed semantic information to the corresponding structured fields, converts colloquial expressions into standard medical terms, and resolves ambiguities through context analysis and statistics on common collocations.

6. The mobile wounded and sick personnel information management system according to claim 1 or 3, characterized in that: The offline synchronization module supports direct data connection between devices through a chain relay synchronization mechanism, and uploads data level by level along the subsequent link.

7. The mobile patient information management system according to claim 6, characterized in that: The chain relay synchronization mechanism includes After the device is powered on, it automatically scans for other system devices in the vicinity to form a dynamic mesh network; Dynamically adjust data transmission paths and priorities based on data urgency and node roles; A version vector-based conflict detection algorithm is used to resolve data conflicts across multiple nodes, and it supports resuming interrupted downloads.

8. The mobile wounded and sick personnel information management system according to claim 1 or 3, characterized in that: The data management and security module uses a physical encryption anchor mechanism to support the encrypted writing of critical data of the wounded to a micro USB and a Type-C encrypted USB key.

9. The mobile patient information management system and method according to any one of claims 1-8, characterized in that: Includes the following steps: Deploy a client app on a mobile terminal, select the corresponding data model according to the usage scenario, and load the adapted electronic injury certificate template and medical record template; Basic information and injury descriptions of the injured can be entered via voice input or manual touch control; the voice input method uses a voice recognition engine and a natural language processing unit to convert spoken natural language into structured data and automatically fill it into the corresponding data fields; During emergency care, surgery, and observation, information on changes in injury, treatment measures, and medication is recorded in real time, forming a continuous electronic medical record over time. The system automatically recommends evacuation priorities based on injury information and generates electronic injury certificates and treatment summaries with QR codes. During evacuation, medical staff can record treatment information offline. Receiving institutions can quickly obtain complete information about the injured or sick by scanning the code, without having to re-enter the information. All data is stored in a local encrypted database in real time, key information is anonymized, all operation logs are recorded, and access permissions are set for different users. Perform statistical analysis on the stored data on wounded and sick personnel to generate reports on injury distribution, treatment efficiency, and resource consumption.

10. The mobile wounded and sick personnel information management system and method according to claim 1, characterized in that: The priority determination for evacuation is based on multiple dimensions of indicators such as injury level, vital signs, and treatment effect, and a weighted scoring method is used to calculate the priority score; the electronic injury ticket contains a unique identifier ID, core injury information, treatment record, and core fields of evacuation information, and the QR code is dynamically encrypted and generated with a configurable validity period.

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