Mobile care data interaction synchronization method, system, device and storage medium

Abstract

The application discloses a mobile nursing data interaction synchronization method, system, device and storage medium, and relates to the technical field of medical nursing informatization. The method comprises the following steps: constructing a Harmony native adaptation layer based on a Harmony system, and networking a plurality of medical terminal devices of different types by using a distributed soft bus of the Harmony system; deploying a low-code development platform and an AI middle platform in the Harmony native adaptation layer, wherein the low-code development platform is configured with at least one mobile nursing component, and the AI middle platform encapsulates at least one mobile nursing AI plug-in; in the low-code development platform, a target mobile nursing AI plug-in corresponding to the mobile nursing component is called to obtain nursing data; and the nursing data is synchronized to the plurality of medical terminal devices after networking according to a distributed data synchronization mechanism of the Harmony system.

Description

Technical Field

[0001] This application relates to the field of medical and nursing information technology, and more specifically, to methods, systems, devices, and storage media for mobile nursing data interaction and synchronization. Background Technology

[0002] In the field of smart healthcare, mobile nursing is a core scenario for improving nursing efficiency and quality. Nurses need to frequently use multiple terminal devices in their clinical work, and the efficiency of their data interaction and synchronization directly affects nursing safety and standardization.

[0003] Existing mobile nursing systems mainly adopt traditional operating system applications or non-native development models for cross-platform mobile nursing, but they have the following shortcomings: First, they are mostly built on traditional operating systems, and the interfaces and protocols of medical terminals from different manufacturers vary greatly, making seamless networking difficult and forming data silos; second, the development and maintenance costs are high, and traditional development models cannot quickly adapt to the personalized needs of various departments, resulting in low system iteration efficiency; third, the data encryption mechanism is imperfect, and sensitive nursing data is easily leaked or tampered with; fourth, the level of intelligence is insufficient, lacking auxiliary analysis and early warning capabilities, and the system management functions are scattered, failing to meet the collaborative and intelligent needs of the entire mobile nursing process and making it difficult to adapt to the dynamic development of clinical nursing work. Summary of the Invention

[0004] The main purpose of this application is to provide a mobile nursing data interaction and synchronization method to solve the problem that existing mobile nursing systems cannot meet the collaborative and intelligent needs of the entire mobile nursing process.

[0005] To achieve the above objectives, the first aspect of this application proposes a mobile nursing data interaction and synchronization method, comprising: A native HarmonyOS adaptation layer is built based on the HarmonyOS system, and the distributed soft bus of the HarmonyOS system is used to network multiple medical terminal devices of different types. A low-code development platform and an AI middleware are deployed in the HarmonyOS native adaptation layer. The low-code development platform is configured with at least one mobile care component, and the AI ​​middleware encapsulates at least one mobile care AI plugin. In this low-code development platform, the target mobile nursing AI plugin corresponding to the mobile nursing component is called to obtain nursing data; Based on the distributed data synchronization mechanism of the HarmonyOS system, the nursing data is synchronized to the multiple medical terminal devices after networking.

[0006] Secondly, a mobile nursing data interaction and synchronization system is proposed, including a HarmonyOS native adaptation layer, a low-code development platform, an AI middleware platform, and a distributed data synchronization module. This HarmonyOS native adaptation layer, built on the HarmonyOS system, is used to network multiple medical terminal devices of different types through the distributed soft bus of the HarmonyOS system; This low-code development platform, deployed on the HarmonyOS native adaptation layer, is configured with at least one mobile nursing component, which is used to call the target mobile nursing AI plugin corresponding to the mobile nursing component in the visual orchestration interface. This AI platform, deployed on the HarmonyOS native adaptation layer, encapsulates at least one mobile nursing AI plugin, which is used to perform data analysis on the raw nursing data collected by the medical terminal device to obtain nursing data. The distributed data synchronization module, based on the distributed data synchronization mechanism of the HarmonyOS system, synchronizes the nursing data to the multiple medical terminal devices after networking.

[0007] Thirdly, an electronic device is proposed, comprising: At least one processor; and The memory is communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform any of the methods described in the present disclosure.

[0008] Fourthly, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements any of the methods in the embodiments of this disclosure.

[0009] Fifthly, a computer program product is provided, including a computer program that, when executed by a processor, implements any of the methods according to embodiments of the present disclosure.

[0010] The technical solutions provided by the embodiments of this application may include the following beneficial effects: In this application, a native adaptation layer is built through the HarmonyOS system, and a low-code development platform and AI middleware are deployed to achieve real-time synchronization of nursing data, which improves the efficiency and intelligence of nursing work, realizes multi-terminal collaboration and data sharing, and meets the collaborative and intelligent needs of the entire mobile nursing process. Attached Figure Description

[0011] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application. In the drawings: Figure 1 A flowchart of a mobile nursing data interaction and synchronization method provided in this application; Figure 2This application provides a schematic diagram of the architecture of a mobile nursing data interaction and synchronization system. Figure 3 A schematic diagram of an application scenario provided for this application; Figure 4 This is another application scenario illustration provided for this application; Figure 5 This application provides another application scenario illustration; Figure 6 A schematic diagram of the structure of a mobile nursing data interaction and synchronization system provided in this application; Figure 7 This is a schematic diagram of the structure of an electronic device provided in this application. Detailed Implementation

[0012] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0013] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0014] In this application, the terms "upper," "lower," "left," "right," "front," "rear," "top," "bottom," "inner," "outer," "middle," "vertical," "horizontal," "lateral," and "longitudinal" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are primarily for the purpose of better describing this application and its embodiments, and are not intended to limit the indicated device, element, or component to having a specific orientation, or to be constructed and operated in a specific orientation.

[0015] Furthermore, in addition to indicating location or positional relationship, some of the aforementioned terms may also have other meanings. For example, the term "above" may also be used in some cases to indicate a certain dependency or connection relationship. Those skilled in the art can understand the specific meaning of these terms in this application based on the specific circumstances.

[0016] Furthermore, the terms "installation," "setup," "equipped with," "connection," "linked," and "socketing" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or an internal connection between two devices, components, or parts. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0017] Figure 1 This application provides a flowchart illustrating a mobile nursing data interaction and synchronization method, which may include: S110. Based on the HarmonyOS system, a HarmonyOS native adaptation layer is built, and the distributed soft bus of the HarmonyOS system is used to network multiple medical terminal devices of different types. In this step, a HarmonyOS native adaptation layer is constructed to provide a unified operating environment for multiple medical terminal devices. Through the distributed soft bus built into the HarmonyOS system, multiple medical terminal devices of different types and models are automatically discovered, connected, and networked together to form an interconnected network of medical terminal devices. In this embodiment, the HarmonyOS native adaptation layer can be an intermediate adaptation layer built on the HarmonyOS operating system for uniformly adapting different medical terminal hardware and protocols. Medical terminal devices may include nursing PDAs, mobile nursing tablets, intelligent nursing carts, nurse station terminals, etc.

[0018] Adopting the HarmonyOS native development model and based on HarmonyOS 4.0 and above, this system deeply utilizes core APIs such as distributed data management, distributed task scheduling, and distributed soft bus to develop a unified application foundation for mobile nursing across multiple terminals. Through Ability component-based development, core mobile nursing functions (such as vital sign data collection, medical order execution, and nursing records) are encapsulated into atomic services that can be invoked across devices. High-speed communication channels between terminals are established using HarmonyOS's distributed soft bus technology, ensuring real-time synchronization of vital sign data collected by the PDA, medical order execution records on the mobile nursing vehicle, nursing reminder messages on the mobile phone, and nursing record data on the computer, with data transmission latency controlled within 80ms, meeting the high-efficiency requirements of mobile nursing.

[0019] S120. Deploy a low-code development platform and an AI middleware in the HarmonyOS native adaptation layer. The low-code development platform is configured with at least one mobile care component, and the AI ​​middleware encapsulates at least one mobile care AI plugin. In this step, a low-code development platform and an AI middleware platform are deployed on the adaptation layer, providing mobile nursing components and AI capabilities. The low-code development platform is pre-configured with at least one pre-packaged mobile nursing component, and the AI ​​middleware platform is pre-packaged with at least one mobile nursing AI plugin. In this embodiment, the low-code development platform can be a development platform that allows for rapid configuration of nursing business processes through visual drag-and-drop and component-based orchestration. The mobile nursing components can be pre-packaged nursing business function modules, including vital sign collection components, medical order verification components, infusion monitoring components, nursing record components, etc. The AI ​​middleware platform can be a unified platform integrating various nursing AI capabilities, used for intelligent analysis, early warning, and judgment of nursing data. The mobile nursing AI plugins can be AI function modules packaged within the AI ​​middleware platform, used for intelligent identification, calculation, and judgment of raw nursing data, outputting result data to assist nursing decision-making, including vital sign abnormality recognition plugins, fall risk assessment plugins, infusion rate abnormality reminder plugins, nursing risk early warning plugins, etc.

[0020] The core infrastructure consists of a low-code development platform and an AI middleware platform. The low-code platform provides mobile nursing-specific visual drag-and-drop components (such as vital sign entry template components, nursing process form components, and infusion record statistics components), nursing scenario-specific code generators, and one-click deployment tools, enabling non-professional developers to quickly build applications that meet nursing needs. The AI ​​middleware platform integrates a self-developed mobile nursing AI intelligent engine, including model management, service encapsulation, capability scheduling, and security control modules. It encapsulates high-frequency AI capabilities in mobile nursing scenarios (such as abnormal vital sign recognition, fall risk assessment, infusion drip rate monitoring, AI verification of medical order execution, and intelligent generation of nursing documents) into standardized plugins, providing a unified calling interface and permission management mechanism.

[0021] S130. In the low-code development platform, the target mobile nursing AI plugin corresponding to the mobile nursing component is called to obtain nursing data; In this step, users can orchestrate mobile nursing components in the visual interface of the low-code development platform, call the corresponding mobile nursing AI plugins for intelligent data analysis, and obtain nursing data.

[0022] S140. Based on the distributed data synchronization mechanism of the HarmonyOS system, synchronize the nursing data to the multiple medical terminal devices after networking.

[0023] In this step, the nursing data analyzed by the mobile nursing AI plugin is synchronized in real time and efficiently to multiple medical terminal devices that have completed networking, through the distributed data synchronization mechanism of the HarmonyOS system, so that each medical terminal device can obtain consistent nursing data synchronously.

[0024] In practice, nurses use nursing PDAs to collect patients' vital signs data such as temperature and blood pressure. Through the "vital signs collection component" in the low-code development platform, they call the "vital signs abnormality recognition AI plugin" in the AI ​​platform. The AI ​​automatically judges that the patient's temperature is high and generates an early warning message. Through the distributed data synchronization mechanism of the HarmonyOS system, the early warning message is synchronized in real time to all networked terminals such as nurse station computers, ward tablets, and mobile nursing carts, so that all relevant nursing staff can obtain abnormal information at the same time.

[0025] According to the embodiments of this application, a native adaptation layer is built through the HarmonyOS system, and a low-code development platform and AI middleware are deployed to achieve real-time synchronization of nursing data, which improves the efficiency and intelligence of nursing work, realizes multi-terminal collaboration and data sharing, and meets the collaborative and intelligent needs of the entire mobile nursing process.

[0026] In one implementation, within the low-code development platform, invoking the target mobile nursing AI plugin corresponding to the mobile nursing component to obtain nursing data may include: The business logic of the mobile nursing component is set in the visual orchestration interface of the low-code development platform, and raw nursing data is collected according to the business logic. Establish the calling relationship between the mobile nursing component and the mobile nursing AI plugin; The call relationship invokes the target mobile nursing AI plugin corresponding to the mobile nursing component, and performs data analysis on the original nursing data based on the target mobile nursing AI plugin to obtain nursing data, which includes at least one of nursing risk warning and data anomaly alert.

[0027] In this embodiment, the visual orchestration interface provided by the low-code development platform allows for the configuration of business processes through drag-and-drop and connection methods. Business logic can define the execution order, triggering conditions, and data flow relationships between components. Raw nursing data includes clinically collected raw data, such as patient vital signs, medical orders, and nursing operation records.

[0028] In the visual orchestration interface, the execution order and business logic of each mobile nursing component are set, and nursing business data is collected according to the configured business logic. The calling relationship between each mobile nursing component and the corresponding mobile nursing AI plugin is pre-built. The target mobile nursing AI plugin is automatically called according to the calling relationship to perform intelligent analysis on the raw nursing data and output nursing data including nursing risk warnings and / or data anomaly alerts.

[0029] In practice, nurses configure the business logic of "vital signs collection component → data anomaly judgment" in the low-code visual orchestration interface. The system collects nursing business data such as patient temperature and blood pressure through this component. The call relationship between the vital signs collection component and the "vital signs anomaly recognition AI plugin" is established in advance. The mobile nursing AI plugin is automatically called to analyze the temperature and blood pressure data, determine whether the patient's temperature is too high, and generate data anomaly reminders and nursing risk warnings as nursing data.

[0030] According to the embodiments of this application, by visually orchestrating business logic and using mobile nursing AI plugins to analyze business data, rapid configuration of nursing processes and intelligent risk warnings are achieved, thereby improving the level of nursing intelligence.

[0031] In one implementation, synchronizing the nursing data to the multiple networked medical terminal devices according to the distributed data synchronization mechanism of the HarmonyOS system may include: The original nursing data and this nursing data are merged into a synchronized dataset; Based on the distributed data synchronization mechanism of the HarmonyOS system, the synchronized dataset is synchronized to the multiple medical terminal devices after networking.

[0032] In this embodiment, the system receives raw nursing data collected by all networked medical terminal devices according to business logic, merges the collected raw nursing data with the nursing data obtained by analysis through the mobile nursing AI plugin, integrates them into a unified synchronous dataset, and, relying on the distributed data synchronization mechanism of the HarmonyOS system, synchronizes the integrated synchronous dataset to all networked medical terminal devices in real time.

[0033] According to the embodiments of this application, by receiving raw nursing data and fusing it to form a synchronous dataset, and relying on the HarmonyOS distributed data synchronization mechanism to synchronize it to all network terminals, the problem of data asynchrony among multiple terminals in the existing mobile nursing system is effectively solved, realizing data interoperability and sharing among multiple terminals, ensuring the integrity and consistency of nursing data, and improving the efficiency and accuracy of nursing work collaboration.

[0034] In one implementation, the HarmonyOS system includes a trusted execution environment. Before synchronizing the synchronized dataset to the multiple networked medical terminal devices according to the distributed data synchronization mechanism of the HarmonyOS system, the method may further include: Based on this trusted execution environment, the AES encryption mechanism is invoked to encrypt the synchronous dataset, generating an encrypted synchronous dataset. After synchronizing the synchronized dataset to the multiple medical terminal devices after networking, based on the distributed data synchronization mechanism of the HarmonyOS system, the method may further include: In the trusted execution environment of each medical terminal device, the encrypted synchronization dataset is decrypted to obtain the decrypted synchronization dataset.

[0035] In this embodiment, the Trusted Execution Environment (TEE) can be an independent and secure isolated operating environment provided by the HarmonyOS system. At the sending end, the Trusted Execution Environment of the HarmonyOS system calls the AES encryption mechanism to encrypt the synchronization dataset, generating an encrypted synchronization dataset. The encrypted data is then synchronized to various medical terminal devices through the distributed data synchronization mechanism of the HarmonyOS system. The encrypted synchronization dataset is then decrypted in the Trusted Execution Environment of each medical terminal device to obtain a decrypted synchronization dataset that can be used normally.

[0036] The trusted execution environment of the HarmonyOS system is used to store patient privacy data and core parameters of AI models; a data hierarchical authorization system is established so that medical staff in different positions can only access data within their scope of responsibility.

[0037] According to the embodiments of this application, by encrypting and decrypting the synchronous dataset in a trusted execution environment, secure transmission and storage of nursing data across the entire chain can be achieved, thereby improving data security and privacy protection capabilities.

[0038] In one embodiment, the method further includes: Based on this HarmonyOS native adaptation layer, multiple mobile nursing components in the low-code development platform are uniformly registered, loaded, and managed for lifecycle. Based on this HarmonyOS native adaptation layer, the mobile nursing AI plugin in the AI ​​platform is dynamically scheduled, intelligently allocated, and its operating status is monitored.

[0039] In this embodiment, based on the HarmonyOS native adaptation layer, all mobile nursing components in the low-code development platform are uniformly registered and component information is filed. Components are loaded on demand according to nursing business needs, and the lifecycle of components is managed throughout the process to ensure that the mobile nursing components run in an orderly, non-redundant, and non-abnormal manner. At the same time, based on the same HarmonyOS native adaptation layer, all mobile nursing AI plugins in the AI ​​platform are dynamically scheduled. According to the current nursing scenario (such as ward rounds and infusion care) and the load of each terminal, the corresponding mobile nursing AI plugin resources are intelligently allocated to avoid resource waste. At the same time, the running status of each mobile nursing AI plugin is monitored in real time to promptly detect and handle problems such as plugin lag and failure.

[0040] The trusted execution environment of the HarmonyOS system is used to store patient privacy data and core parameters of AI models. A data hierarchical authorization system is established specifically for mobile nursing scenarios (such as nurses can only access the nursing data of the patients they are responsible for, and nursing managers can view the overall nursing data of the department). Combined with the AES encryption mechanism for data transmission, data security is fully guaranteed.

[0041] According to the embodiments of this application, mobile nursing components are uniformly registered, loaded, and managed for lifecycle based on the HarmonyOS native adaptation layer. Mobile nursing AI plugins are dynamically scheduled, intelligently allocated, and monitored for operational status, ensuring the stability and efficiency of system operation, reducing system development and maintenance costs, and improving AI integration and invocation efficiency.

[0042] Figure 2 This is a schematic diagram of the architecture of a mobile nursing data interaction and synchronization system provided in this application.

[0043] In this embodiment, the mobile nursing data interaction and synchronization system consists of, from bottom to top, an external system layer, a terminal device layer, a platform service layer, a HarmonyOS core capability layer, an AI capability encapsulation layer, and an application layer.

[0044] The external system layer includes the Hospital Information System (HIS), Laboratory Information System (LIS), Picture Archiving and Recording System (PACS), and Electronic Medical Record System (EMR). These systems integrate with this system through standardized interfaces to achieve data interoperability. Standardized protocols such as HL7 FHIR and DICOM 3.0 are used for device data acquisition and interface with the hospital's HIS, LIS, PACS, and EMR systems to ensure consistent data formats and standardized interaction.

[0045] The terminal device layer includes portable mobile terminals (nursing PDAs), large-screen operating terminals (mobile nursing tablets), mobile workstations (intelligent nursing carts), visual BI large screens (intelligent nursing TVs), drip rate monitoring devices (intelligent infusion pumps), and multi-parameter acquisition devices (vital sign monitoring devices), among other medical terminal devices. Through distributed interconnectivity, it achieves full coverage of the mobile nursing process. All terminal devices are interconnected via HarmonyOS distributed capabilities, enabling automatic device discovery and data sharing.

[0046] The platform service layer provides services such as hot-swappable / dynamic updates (modular configuration center), prompt management / model scheduling (AI agent orchestration), and continuous iterative optimization (security gateway), supporting rapid business expansion, AI model management, and data security control. It offers low-code configuration and security services, enabling data interaction with the HarmonyOS core capability layer through data access and processing interfaces.

[0047] The HarmonyOS core capability layer provides device discovery / automatic networking (distributed soft bus), cross-device synchronization / intelligent caching (distributed data management), and edge-side inference / NPU invocation (AI inference engine) capabilities. Based on HarmonyOS's distributed capabilities and AI engine, it enables cross-device data synchronization and edge-side inference. Through the distributed data synchronization mechanism, it achieves data flow between the terminal device layer and the platform service layer.

[0048] The AI ​​capability encapsulation layer encapsulates mobile nursing AI plugins such as real-time monitoring and early warning (abnormal vital signs recognition), NLP automatic generation (intelligent nursing document generation), preventive early warning (fall risk assessment), real-time monitoring alarm (infusion drip rate monitoring and reminder), automatic verification logic (AI verification of medical order execution), and predictive analysis (pressure ulcer risk early warning for elderly patients). It provides a unified RESTful interface, supports scenario-based reverse iteration, provides AI services to the application layer through unified RESTful interface calls, and supports AI model training and updates.

[0049] The application layer provides mobile nursing business applications such as real-time monitoring and analysis (vital sign collection), AI intelligent verification (closed-loop medical order execution), intelligent document generation (nursing document writing), comprehensive AI capability invocation (AI intelligent nursing assistant), abnormal vital sign recognition (critical value alarm), and collaborative diagnosis and treatment support (multidisciplinary consultation). These mobile nursing business applications are provided to nurses and are all developed natively based on HarmonyOS. Various nursing business functions are implemented by calling AI services provided by the AI ​​capability encapsulation layer.

[0050] In practice, the terminal device layer collects raw nursing data such as patient vital signs and infusion status, and obtains patient diagnosis and treatment information from the external system layer through protocols such as HL7 FHIR; the data is synchronized to the platform service layer through the distributed soft bus and data management mechanism of the HarmonyOS core capability layer; the AI ​​capability encapsulation layer calls the AI ​​inference engine to perform intelligent analysis on the data and generate nursing data such as nursing risk warnings and data anomaly reminders; the application layer calls AI services through a unified RESTful interface, and users complete nursing operations in a visual interface.

[0051] According to the embodiments of this application, relying on HarmonyOS distributed capabilities and AI technology, the hospital's existing information systems and various nursing terminal devices are effectively integrated, realizing full-link synchronization and intelligent analysis of mobile nursing data, thereby improving the efficiency and intelligence level of nursing work.

[0052] Figure 3 This is a schematic diagram of an application scenario provided for this application.

[0053] PDA terminals are used by nurses to collect vital signs data at the bedside and execute medical orders, and are the main source of raw nursing data.

[0054] The mobile nursing cart serves as a mobile workstation, used for displaying patient information on a large screen, viewing alerts, and performing nursing procedures.

[0055] The nurse station tablet is used for batch processing of medical orders, viewing patient information, task allocation, and status monitoring.

[0056] The AI ​​agent is deployed on the AI ​​platform to intelligently analyze synchronized data and generate nursing data such as risk warnings and abnormal alerts.

[0057] Data updates from any terminal device trigger a bus broadcast, which synchronizes with other terminals in real time, and AI intelligently intervenes for analysis in real time.

[0058] As the core hub for data flow, the real-time synchronization center relies on HarmonyOS distributed soft bus and distributed data management capabilities to achieve real-time synchronization, conflict detection, and intelligent merging of data from multiple terminals, ensuring data consistency across all terminals.

[0059] Data Acquisition (PDA): Nurses use PDAs to collect vital signs data such as body temperature, blood pressure, and pulse. The system automatically records and synchronizes the data to the real-time synchronization center, while also caching the data locally.

[0060] Device discovery and connection: The PDA automatically discovers and connects to nearby mobile nursing carts, nurse station tablets and other terminals through the HarmonyOS distributed soft bus, enabling cross-device collaboration.

[0061] Cross-terminal data synchronization: The collected raw nursing data is synchronized in real time to terminals such as mobile nursing carts and nurse station tablets via a distributed soft bus, and the interfaces of each terminal are automatically updated to ensure data consistency.

[0062] AI-powered intelligent intervention analysis: The AI ​​agent performs anomaly detection and risk assessment (such as fall risk) on the synchronized data of the real-time synchronization center, and proactively pushes early warning information to relevant terminals.

[0063] Task continuity and closed loop: Nurses can process alerts or execute medical orders at any terminal, and the operation results are written back to the real-time synchronization center and the hospital HIS system in real time, forming a complete nursing operation closed loop and ensuring the final consistency of data between the cloud and the terminal.

[0064] According to the embodiments of this application, seamless adaptation of mobile nursing to multiple terminals is achieved based on HarmonyOS native development. The data synchronization error rate between devices is reduced to below 0.08%, and the efficiency of nursing staff operating across devices is improved by 45%. For example, when a nurse uses a PDA to collect vital signs data such as heart rate and blood pressure from a patient in the ward, the mobile nursing vehicle terminal and the computer terminal are synchronized in real time and automatically filled into the nursing record form without the need for manual secondary entry.

[0065] The HarmonyOS native development mode deeply utilizes the core capabilities of the HarmonyOS ecosystem, supporting future HarmonyOS system version upgrades and the integration of new mobile nursing devices (such as smart infusion pumps and wearable nursing monitoring devices); through standardized interfaces, it achieves seamless integration with existing hospital systems such as HIS, LIS, and PACS, improving data migration and integration efficiency by 80% and completely solving the problem of data silos.

[0066] Nurses can choose AI tools that suit their specific scenarios, reducing the response time for AI service upgrades from 48 hours to within 1.5 hours. AI agents are deeply integrated into mobile nursing processes. For example, in infusion care, AI plugins can monitor drip rate in real time and issue warnings for abnormalities. In nursing documentation generation, standardized nursing records are automatically generated based on synchronized data from multiple terminals, significantly reducing the workload of nursing documentation.

[0067] By leveraging HarmonyOS's distributed capabilities, real-time data synchronization across multiple terminals is achieved. Combined with AI-powered intelligent analysis and operational closed-loop systems, this enhances nursing efficiency, clinical safety, and multi-terminal collaboration capabilities.

[0068] Figure 4 This is a schematic diagram of another application scenario provided for this application.

[0069] Intelligent configuration: Administrators on the cloud management platform configure target mobile nursing AI plugins (such as a vital sign abnormality recognition assistant) according to the needs of mobile nursing scenarios, and complete the definition of model version and input parameters.

[0070] Plugin Packaging: The cloud management platform packages the configured AI plugins into a compliant HAP package according to the HarmonyOS Atomization Service Specification; Push update strategy: The cloud management platform formulates a targeted distribution strategy based on user roles and department attributes, and pushes the HAP package update strategy to the corresponding mobile nursing terminal; Silent download / hot update: The mobile nursing terminal receives the HAP plugin package in the background and completes the download and installation using hot update, without the need to reinstall the mobile nursing APP on the terminal; Plug and play: After the update is complete, a new AI plugin icon will appear on the AI ​​assistant interface of the mobile nursing terminal. Clicking it will call the terminal-side NPU to complete AI inference, enabling the plugin to be quickly activated.

[0071] According to the embodiments of this application, relying on the atomic service characteristics and hot update capabilities of the HarmonyOS system, the targeted deployment, seamless updates, and plug-and-play functionality of the mobile nursing AI plugin are realized, reducing the integration and iteration costs of AI capabilities.

[0072] Figure 5 This is a schematic diagram illustrating another application scenario provided in this application.

[0073] Mobile Nursing System (HarmonyOS Native): A native mobile nursing application built on HarmonyOS, providing a native operating experience and serving as the initiator of data interaction.

[0074] Hospital Basic Platform (ESB): Enterprise Service Bus, responsible for protocol conversion, data cleaning and routing, is the core hub for cross-system integration.

[0075] Hospital core business systems: The hospital's existing information systems, including HIS, LIS, PACS, EMR, etc., provide core business data.

[0076] Security assurance system: a security mechanism that runs through the entire process, including encrypted transmission, support for national cryptographic algorithms, identity authentication, log auditing, and privacy protection.

[0077] The mobile nursing system initiates business requests in JSON format, uses the SM4 national cryptographic algorithm to encrypt business data to ensure data transmission security, and calls the hospital's basic platform interface through the API gateway, using the HTTPS / TLS 1.3 protocol to transmit encrypted data.

[0078] The protocol conversion center of the hospital's basic platform (ESB) converts RESTful interface protocols into HL7 or Webservice protocols to adapt to the hospital's existing systems. It also cleans, standardizes, and maps data to ensure that the data format is unified and the semantics are consistent.

[0079] The hospital's basic platform routes the processed data to the corresponding core business systems (HIS system, LIS system, PACS system, EMR system) and returns the response data back to the mobile nursing system via the original path.

[0080] The system employs HTTPS / TLS 1.3 protocol, combined with SM2 / SM4 national cryptographic algorithms for encrypted transmission, ensuring data transmission security. Authentication is performed on interactions between the mobile nursing system and the hospital system to prevent unauthorized access. All access logs are audited throughout the process for easy traceability and compliance checks. Deployed on a hospital private cloud, it utilizes data anonymization and privacy protection technologies to safeguard patient privacy and security.

[0081] According to the embodiments of this application, through protocol conversion, data cleaning and full-link security mechanisms, seamless integration between the HarmonyOS native mobile nursing system and the hospital's existing information system is achieved, ensuring the compliance and reliability of data interoperability.

[0082] In one application scenario, the specific construction steps of the mobile nursing data interaction and synchronization system of this application embodiment can be as follows: 1. Development environment setup (HarmonyOS native adaptation layer): 1.1 Basic Environment Configuration: Using the JAVA language and the HarmonyOS Studio 4.0 development tool, a HarmonyOS native development environment is built, and the HarmonyOS 4.0 SDK and distributed capability development package are configured; the server can use a Kunpeng 920 processor, install the HarmonyOS Server version, and deploy a distributed database and message queue to ensure system stability and compatibility.

[0083] 1.2 Multi-terminal Adaptation Configuration: For core mobile nursing terminals (such as industrial-grade HarmonyOS PDAs, HarmonyOS mobile nursing carts, HarmonyOS phones, HarmonyOS tablets, and Windows-compatible computers), a unified UI component library dedicated to mobile nursing is developed. This library includes interface elements that conform to nursing operation habits, such as vital sign collection buttons, nursing record forms, and medical order execution indicators. Through HarmonyOS's adaptive layout capabilities, the interface can be automatically adjusted according to the device screen size and operation scenario, ensuring consistent operation logic across all terminals and reducing the learning cost for nursing staff.

[0084] 2. Infrastructure layer deployment: 2.1 Low-code platform deployment: Deploy the self-developed low-code platform version V4.0, configure a mobile nursing-specific component library (such as electronic nursing record templates, vital sign collection forms, infusion process forms, fall risk assessment scales), a nursing workflow engine (such as supporting visual drag-and-drop configuration of nursing processes such as ward rounds, infusion nursing, discharge guidance, etc.), and a one-click deployment tool, bind the HarmonyOS application packaging module, and the generated application can be directly adapted to multiple mobile nursing terminals.

[0085] 2.2 AI Platform Construction: Integrating the self-developed mobile nursing AI intelligent engine and the TensorFlow 2.10 deep learning framework, a model management module is built (supporting model upload, version control, performance testing, and self-optimization); six core mobile nursing AI capabilities are encapsulated into standardized plugins, including abnormal vital signs recognition (accuracy ≥96%), intelligent nursing document generation (recognition accuracy ≥98.5%), fall risk assessment (accuracy ≥95.5%), infusion drip rate monitoring and reminder (accuracy ≥97%), AI verification of medical order execution (accuracy ≥99%), and pressure ulcer risk warning for elderly patients (accuracy ≥95%). Each plugin provides a unified RESTful call interface, and the core algorithms are self-developed and can be continuously iterated based on feedback from nursing scenarios.

[0086] 3. Core service layer development: 3.1 Modular Business Service Development: The system is divided into nine core mobile nursing business modules, including vital sign collection, medical order execution, infusion care, nursing records, nursing assessment, discharge guidance, home care, nursing quality control, and system management. Each module is developed using Ability components, and the interface and logic are separated through the HarmonyOS ArkUI framework. Data sharing between modules is achieved through the DistributedDataManager service. For example, patient temperature and heart rate data entered in the vital sign collection module are automatically synchronized to the nursing records, nursing assessment, and medical order execution modules to ensure data consistency.

[0087] 3.2 AI Intelligent Agent Plugin Invocation Mechanism Implementation: A plugin registration center and a nursing scenario permission management module are configured in the AI ​​platform. Nurses submit applications for the use of required AI plugins through the nurse application (e.g., the pediatric nursing unit applies for a "temperature abnormality warning plugin"). After the nursing manager approves the application, the system automatically assigns invocation permissions. When the AI ​​plugin is invoked, the AI ​​capabilities are embedded into the mobile nursing process through HarmonyOS atomic services. For example, after a nurse collects a patient's vital signs using a PDA in the ward, the AI ​​plugin automatically identifies abnormal data and immediately pops up a warning prompt, which is simultaneously synchronized to the nursing management terminal.

[0088] 4. Multi-terminal collaboration, system integration, and management system implementation: 4.1 Multi-terminal data synchronization: HarmonyOS Distributed SoftBus is enabled, and the device discovery and connection module is configured. When nursing staff use a PDA to scan the patient's wristband in the ward to collect nursing data, the system automatically synchronizes the patient's nursing data to the mobile nursing cart, nurse station tablet, and computer. Data transmission uses AES encryption to ensure the security of patient privacy data.

[0089] 4.2 Integration with existing hospital systems: Develop standardized interface adapter modules that support HL7FHIR and DICOM3.0 protocols to achieve seamless integration with the hospital's HIS system for patient basic information and medical order data, LIS system for test results data, and PACS system for imaging examination data. Data synchronization latency is ≤100ms to ensure comprehensive and accurate mobile nursing data.

[0090] 4.3 Integrated Management System Development: A web-based management system was developed, using the Vue3 framework to build the interface. It integrates a device management module (real-time display of online status, battery level, and data transmission status of 300+ mobile nursing terminals, supporting remote restart and fault alarms), an AI service management module (statistics on the usage frequency, accuracy, and nursing scenario adaptability of each AI plugin), a data statistics module (generating reports on nursing workload, AI early warning processing efficiency, and nursing error rate), and a security audit module (recording data access, modification, and transmission logs). Administrators can complete the entire system's operation and maintenance and security monitoring through a computer.

[0091] 5. System Testing and Deployment: 5.1 Functional Testing: A pilot program was conducted in the nursing department of a tertiary hospital. After system deployment, the multi-terminal collaborative function was tested. Nurses used PDAs to collect patients' blood pressure and heart rate data, which were displayed synchronously on the mobile nursing cart and the computer within 80ms, with 100% data consistency. The deployment of the AI ​​plugin was also tested, with the "infusion drip rate monitoring reminder" plugin selected, achieving a monitoring accuracy of 97.3%. The integration with the hospital's HIS system was also tested, with patient medical order data synchronizing from the HIS system to the mobile nursing system without delay, and 100% data integrity.

[0092] 5.2 Performance Test: Simulating 800 nurses operating online simultaneously (including high-frequency operations such as vital sign collection, medical order execution, and AI plugin invocation), the system response time is ≤250ms, and the data transmission success rate between devices is ≥99.95%, meeting the mobile nursing needs of hospitals during peak hours.

[0093] 5.3 Deployment: A canary release method was adopted to achieve full coverage of mobile nursing scenarios throughout the hospital.

[0094] Figure 6 This application provides a schematic diagram of the structure of a mobile nursing data interaction and synchronization system, which may include a HarmonyOS native adaptation layer 610, a low-code development platform 620, an AI middleware 630, and a distributed data synchronization module 640. The HarmonyOS native adaptation layer 610 is built on the HarmonyOS system and is used to network multiple medical terminal devices of different types through the distributed soft bus of the HarmonyOS system. The low-code development platform 620 is deployed on the HarmonyOS native adaptation layer and is configured with at least one mobile nursing component, which is used to call the target mobile nursing AI plugin corresponding to the mobile nursing component in the visual orchestration interface. The AI ​​platform 630 is deployed on the HarmonyOS native adaptation layer and encapsulates at least one mobile nursing AI plugin, which is used to perform data analysis on the raw nursing data collected by the medical terminal device to obtain nursing data. The distributed data synchronization module 640 synchronizes the nursing data to the multiple medical terminal devices after networking, according to the distributed data synchronization mechanism of the HarmonyOS system.

[0095] In this embodiment, the mobile nursing data interaction and synchronization system may include a HarmonyOS native adaptation layer, a low-code development platform, an AI middleware platform, and a distributed data synchronization module. These layers and modules cooperate to achieve networking of medical terminal devices based on the HarmonyOS system, visualized orchestration of nursing services, AI intelligent analysis, and multi-terminal data synchronization.

[0096] Low-code platforms and modular design shorten the development cycle of new mobile nursing features to 5-10 days, and the deployment process does not require interrupting system services, reducing development and maintenance costs by 65%.

[0097] Nurses can select the required mobile nursing AI plugins through the system interface (such as a fall risk assessment plugin for elderly patients, a pediatric abnormal body temperature warning plugin, and an abnormal infusion drip rate reminder plugin). The AI ​​platform automatically completes the plugin deployment and capability adaptation without modifying the underlying code. The plugin activation time is ≤3 minutes, meeting the personalized needs of different nursing scenarios.

[0098] The plug-and-play AI intelligent agent system for mobile nursing allows nurses to independently select AI tools suitable for their specific scenarios. AI service upgrade response time has been reduced from 48 hours to within 1.5 hours. The AI ​​intelligent agent is deeply integrated into mobile nursing processes. For example, in infusion care, the AI ​​plugin can monitor the drip rate in real time and issue warnings for abnormalities. In nursing documentation generation, it automatically generates standardized nursing records based on synchronized data from multiple terminals, significantly reducing the workload of nursing documentation. Building a plug-and-play AI intelligent agent system specifically for mobile nursing reduces the cost for nurses to use and upgrade AI tools.

[0099] In one embodiment, the system may further include: The mobile nursing business module is used to break down the mobile nursing process into functional modules, which include at least one of the following: vital sign collection module, medical order execution module, infusion nursing module, nursing record module, discharge guidance module, and nursing assessment module.

[0100] In this embodiment, the core mobile nursing process is divided into independent modules, including a vital signs collection module, a medical order execution module, an infusion nursing module, a nursing record module, a discharge guidance module, and a nursing assessment module. Each module achieves cross-module communication through HarmonyOS Ark multi-language operation, supports on-demand activation and upgrades, and can quickly respond to nursing process optimization needs. Each functional module is independent of each other but can work together to form a complete mobile nursing business system based on HarmonyOS.

[0101] In one embodiment, the system may further include: The encryption module, based on the trusted execution environment of the HarmonyOS system, calls the AES encryption mechanism to encrypt the nursing data and generate encrypted nursing data.

[0102] The decryption module decrypts the encrypted nursing data within the trusted execution environment of each medical terminal device, obtaining the decrypted nursing data.

[0103] In this embodiment, to ensure the security of nursing data during transmission and synchronization and to prevent data leakage and tampering, an encryption module and a decryption module are set up. The encryption module uses the HarmonyOS trusted execution environment to call the AES encryption mechanism to encrypt the nursing data and generate encrypted nursing data. The decryption module decrypts the encrypted nursing data in the HarmonyOS trusted execution environment of each medical terminal device to obtain decrypted nursing data. Relying on the security capabilities of the HarmonyOS system, a full-process data security protection system is constructed to ensure the confidentiality and integrity of nursing data.

[0104] In practice, a unified backend management system is developed, integrating functions such as terminal monitoring, user management, service operation and maintenance, data statistics, and security auditing. Administrators can view the real-time operating status of each mobile nursing terminal (such as PDA online rate, data transmission success rate, and battery life), the usage of AI intelligent plugins, and system performance indicators via computer or tablet. Specific applications are developed for all mobile nursing scenarios, including nurse terminals (multi-terminal collaborative vital sign collection, AI-assisted medical order execution verification, and intelligent nursing record generation) and nursing management terminals (nursing quality data analysis, nursing task scheduling, and AI early warning processing). Each application seamlessly connects with the hospital's HIS, LIS, and PACS systems through standardized interfaces (HL7 FHIR, DICOM 3.0) to achieve data sharing and interoperability of patient basic information, examination and test results, and medical order information, ensuring the integrity and consistency of mobile nursing data.

[0105] Based on the same idea, this application also provides a device corresponding to the above method.

[0106] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 7 As shown in the figure, a mobile nursing data interaction and synchronization device 700 provided in this application embodiment includes a memory 730, a processor 710 and a computer program 720 stored in the memory. The processor 710 executes the computer program 720 to implement the mobile nursing data interaction and synchronization method described in any of the above embodiments.

[0107] The mobile nursing data interaction and synchronization device provided in this application embodiment may include a memory, a processor, and a computer program stored in the memory. The processor executes the computer program to implement the mobile nursing data interaction and synchronization method described in any of the above embodiments.

[0108] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0109] Obviously, those skilled in the art should understand that the various units or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device, or fabricating them separately as individual integrated circuit modules, or fabricating multiple modules or steps into a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0110] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for mobile nursing data interaction and synchronization, characterized in that, include: A native HarmonyOS adaptation layer is built based on the HarmonyOS system, and the distributed soft bus of the HarmonyOS system is used to network multiple medical terminal devices of different types. A low-code development platform and an AI middleware are deployed in the HarmonyOS native adaptation layer. The low-code development platform is configured with at least one mobile care component, and the AI ​​middleware encapsulates at least one mobile care AI plugin. In the low-code development platform, the target mobile nursing AI plugin corresponding to the mobile nursing component is invoked to obtain nursing data; According to the distributed data synchronization mechanism of the HarmonyOS system, the nursing data is synchronized to the multiple medical terminal devices after networking.

2. The method according to claim 1, characterized in that, In the low-code development platform, the target mobile nursing AI plugin corresponding to the mobile nursing component is invoked to obtain nursing data, including: The business logic of the mobile nursing component is set in the visual orchestration interface of the low-code development platform, and raw nursing data is collected according to the business logic. Establish the calling relationship between the mobile nursing component and the mobile nursing AI plugin; The target mobile nursing AI plugin corresponding to the mobile nursing component is invoked through the invocation relationship, and the original nursing data is analyzed based on the target mobile nursing AI plugin to obtain nursing data, which includes at least one of nursing risk warning and data anomaly alert.

3. The method according to claim 2, characterized in that, According to the distributed data synchronization mechanism of the HarmonyOS system, synchronizing the nursing data to the multiple medical terminal devices after networking includes: The original nursing data is merged with the nursing data to form a synchronized dataset; According to the distributed data synchronization mechanism of the HarmonyOS system, the synchronized dataset is synchronized to the multiple medical terminal devices after networking.

4. The method according to claim 3, characterized in that, The HarmonyOS system includes a trusted execution environment. Before synchronizing the synchronized dataset to the multiple medical terminal devices after networking according to the distributed data synchronization mechanism of the HarmonyOS system, the method further includes: Based on the trusted execution environment, the AES encryption mechanism is invoked to encrypt the synchronization dataset, generating an encrypted synchronization dataset. After synchronizing the synchronized dataset to the networked medical terminal devices according to the distributed data synchronization mechanism of the HarmonyOS system, the method further includes: In the trusted execution environment of each of the aforementioned medical terminal devices, the encrypted synchronization dataset is decrypted to obtain the decrypted synchronization dataset.

5. A mobile nursing data interaction and synchronization system, characterized in that, This includes the HarmonyOS native adaptation layer, low-code development platform, AI middleware, and distributed data synchronization module; The HarmonyOS native adaptation layer, built on the HarmonyOS system, is used to network multiple medical terminal devices of different types through the distributed soft bus of the HarmonyOS system. The low-code development platform is deployed on the HarmonyOS native adaptation layer and is configured with at least one mobile nursing component, which is used to call the target mobile nursing AI plugin corresponding to the mobile nursing component in the visual orchestration interface. The AI ​​platform is deployed on the HarmonyOS native adaptation layer and encapsulates at least one mobile nursing AI plugin, which is used to perform data analysis on the raw nursing data collected by the medical terminal device to obtain nursing data. The distributed data synchronization module synchronizes the nursing data to the multiple medical terminal devices after networking, according to the distributed data synchronization mechanism of the HarmonyOS system.

6. The system according to claim 5, characterized in that, The system also includes: The mobile nursing business module is used to break down the mobile nursing process into functional modules, which include at least one of the following: vital sign collection module, medical order execution module, infusion nursing module, nursing record module, discharge guidance module, and nursing assessment module.

7. The system according to claim 5, characterized in that, The system also includes: The encryption module, based on the trusted execution environment of the HarmonyOS system, calls the AES encryption mechanism to encrypt the nursing data and generate encrypted nursing data; The decryption module decrypts the encrypted nursing data within the trusted execution environment of each of the medical terminal devices to obtain decrypted nursing data.

8. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.

9. A computer-readable storage medium, wherein, When a computer program is executed by a processor, it implements the method of any one of claims 1-4.

10. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1-4.

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