Intelligent integrated disinfection supply management system

Abstract

According to the intelligent integrated disinfection supply management system, system integration and interoperability are optimized, a platform and an open interface are unified, a unified comprehensive management platform is adopted, and in combination with a standardized interface (such as HL7, FHIR, RESTful API and the like), efficient integration with other systems (such as HIS, EMR, equipment management system and the like) of a hospital is ensured. Meanwhile, the system design needs to have good expandability and compatibility, and butt joint of different devices and software platforms is supported; according to the layered architecture design, a layered architecture is adopted, interaction between a core module and an external system is carried out through a data middle layer, direct coupling of all systems is avoided, and maintainability is improved. Through integration of advanced Internet of Things technology, data analysis, intelligent monitoring and remote support functions, an efficient, safe and flexible disinfection management solution is provided for medical institutions. The system realizes seamless integration with other information systems of a hospital, ensures real-time sharing and accuracy of data, and improves management efficiency and decision ability.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent integrated disinfection supply management systems, and particularly to an intelligent integrated disinfection supply management system. Background Art

[0002] An intelligent integrated disinfection supply management system is an integrated medical device disinfection and supply management platform that comprehensively manages and monitors the entire process of medical device cleaning, disinfection, storage, distribution, etc. through intelligent technologies. This system combines technologies such as the Internet of Things (IoT), big data analysis, and artificial intelligence (AI) to achieve real-time monitoring and optimization of disinfection equipment, disinfection processes, disinfection effects, and consumption of disinfection materials. The system can automatically record equipment usage, disinfection operation processes, and quality inspection results to ensure that the disinfection process complies with medical safety standards, reduce human intervention, and improve disinfection efficiency and quality. Through intelligent data analysis and reporting functions, hospital managers can timely understand the equipment usage status, disinfection effects, and inventory situations, thereby making more scientific decisions. Overall, the intelligent integrated disinfection supply management system not only improves the management efficiency of medical institutions, but also enhances patient safety, reduces operating costs, and promotes the digital transformation of hospital management.

[0003] Although the intelligent integrated disinfection supply management system provides an efficient and intelligent solution for the disinfection and supply management in medical institutions, there are still some drawbacks in the existing technologies, mainly including the following aspects: System integration and compatibility issues: The intelligent integrated disinfection supply management system often needs to be integrated with other hospital management systems (such as the hospital information management system HIS, the electronic medical record system EMR, the equipment management system, etc.). However, the compatibility and interface standardization among different systems are insufficient, which may lead to unsmooth data transmission or lagging information update. Impact: Such integration issues may result in data silos, duplicate data entry, or inconsistent data among systems, thus affecting management efficiency and decision-making accuracy; High initial investment and maintenance costs: The intelligent integrated system usually requires a relatively high initial investment, including hardware devices, sensors, software development and customization, system integration, etc. In addition, continuous financial investment is needed for the long-term maintenance and update of the system. Impact: For some small and medium-sized hospitals with limited funds, they may face greater economic pressure and it is difficult to achieve the full deployment and continuous upgrade of the system; Data security and privacy protection issues: Although the intelligent integrated system adopts encryption technology and permission management to ensure data security, since the system involves a large amount of patients' personal health data and sensitive medical information, there is still a risk of being attacked, leaked, or tampered with. Impact: If the security of the system is insufficient, it may lead to the leakage or abuse of medical data, damage patients' privacy, and even may trigger legal and compliance issues; Technical adaptability and personnel training difficulties: The operation of the intelligent system requires professional personnel to master certain technical knowledge. For the hospital staff who are not familiar with technical operations, there may be a certain learning curve for using the system. Especially the complexity of the system, unfriendly interface design, and cumbersome operation steps may all lead to operation errors or low efficiency. Impact: A large amount of time needs to be spent on training and technical support. At the same time, once the system fails, the solution time may be delayed due to improper technical operations; Equipment failures and technical problems: Although the intelligent system itself can provide automatic monitoring and reporting functions, if the hardware devices in the system (such as sensors, automated cleaning and disinfection equipment, etc.) fail, it may lead to inaccurate data collection or problems during the disinfection process not being detected in time. Impact: Equipment failures may affect the disinfection quality and even pose a risk of cross-infection. Technical problems in the system may also lead to operation stagnation or data loss; Insufficient system complexity and flexibility: The intelligent integrated system often involves multiple modules and highly integrated functions. The complexity of the system makes it lack sufficient flexibility in some cases. For example, the disinfection processes, equipment types, and management requirements of different hospitals may vary, and the unified design of the system may not be able to fully meet the specific needs of all hospitals.Impact: If the system is too complex or not flexible enough, it may prevent some hospitals from customizing and using it efficiently, affecting the popularity and applicability of the system; Dependence on network and technical infrastructure The intelligent integrated disinfection supply management system has high requirements for network infrastructure and technical support. If the hospital's network environment is unstable or the technical equipment is not advanced enough, it may affect the normal operation of the system. Impact: Network failures or technical problems may cause the system to be unable to obtain disinfection data in real time, thereby affecting the efficiency and reliability of the entire management process; System data quality and accuracy issues, Disadvantages: The intelligent integrated system relies on the collection and analysis of a large amount of data. However, if the sensors, monitoring devices, or data collection processes used in the system are inaccurate or malfunction, it may lead to inaccurate data, thereby affecting decision-making and management. Impact: If the data in the system is deviated, it may lead to incorrect management decisions, such as incorrect disinfection processes, and even affect the safety of patients.

[0004] Therefore, we propose an intelligent integrated disinfection supply management system. Summary of the Invention

[0005] To achieve the above object, the present invention provides the following technical solutions: An intelligent integrated disinfection supply management system, including the following steps:

[0006] S1: System integration and interoperability optimization: Unified platform and open interfaces: Adopt a unified integrated management platform, combined with standardized interfaces (such as HL7, FHIR, RESTful API, etc.), to ensure efficient integration with other hospital systems (HIS, EMR, equipment management systems, etc.). At the same time, the system design should have good scalability and compatibility, supporting the docking of different devices and software platforms; Hierarchical architecture design: Adopt a hierarchical architecture, and the core module interacts with external systems through a data middleware layer to avoid direct coupling of each system, improving maintainability and system flexibility;

[0007] S1.1: API interface development and docking: Develop standardized API interfaces to ensure that the endoscope disinfection management system can perform efficient data exchange with other hospital information systems (such as HIS, EMR, LIS);

[0008] S1.2: Configuration of data synchronization mechanism: Configure a timed data synchronization mechanism to ensure that information such as endoscope usage records, disinfection processes, and equipment status is synchronized with other systems in real time, avoiding data lag or errors;

[0009] S1.3: System modular design: Divide the system into multiple independent modules to ensure that different modules can be updated and maintained independently, while supporting on-demand expansion and customization.

[0010] S2: Intelligent Monitoring and Disinfection Effect Verification: Enhanced Internet of Things (IoT) Monitoring Function: By integrating more intelligent sensors, key environmental factors during the disinfection process, such as disinfectant concentration, temperature, humidity, pressure, etc., are monitored in real time to ensure that the disinfection effect meets the standards. The sensors and monitoring devices are seamlessly connected to the system to achieve automatic calibration and alarm. Automatic Detection of Disinfection Effect: Combined with high-precision detection equipment (such as ATP detectors, fluorescence detectors, etc.), the cleanliness of the endoscope surface is automatically detected, and the results are uploaded in real time for automatic analysis;

[0011] S2.1: Sensor Installation and Configuration: Temperature, humidity, and concentration sensors are integrated into the disinfection equipment to monitor the environmental conditions during the disinfection process in real time, and the data is transmitted to the management system through a wireless network;

[0012] S2.2: Intelligent Calibration and Automatic Alarm: The system automatically calibrates whether the disinfection conditions meet the standards according to the real-time data. If abnormalities are found (such as insufficient disinfectant concentration, unqualified temperature, etc.), the alarm is immediately triggered and the parameters of the disinfection equipment are automatically adjusted;

[0013] S2.3: Automatic Effect Detection and Report Generation: After each disinfection is completed, the system automatically invokes the detection equipment to detect the effect of the endoscope and generates a detailed effect report to ensure the qualified disinfection quality.

[0014] S3: Data Security and Privacy Protection: Data Encryption and Hierarchical Permission Management: Industry-leading encryption technologies (such as AES-256) are used to encrypt sensitive data, and hierarchical permission management is implemented to ensure that only authorized personnel can access specific data; Application of Blockchain Technology: The blockchain technology is used to ensure the immutability of disinfection records. All disinfection data is stored distributively and marked with timestamps to ensure the authenticity and transparency of the data;

[0015] S3.1: Implementation of Data Encryption: Encryption technologies such as AES-256 are used for the stored and transmitted data to ensure the security of sensitive data such as patient information and disinfection records;

[0016] S3.2: Hierarchical Permission Setting: Different permissions are set according to the roles of users (such as disinfection workers, equipment administrators, doctors, etc.) to ensure that only authorized personnel can access specific information;

[0017] S3.3: Blockchain Storage and Audit: The records of each disinfection operation are stored and certified through the blockchain. All data is immutable, and information such as the operator, equipment status, and disinfection conditions can be traced.

[0018] S4: Operation Simplification and Intelligent Interface: Intelligent Operation Interface: The system adopts a simple and intuitive graphical interface, supporting touch screen, voice recognition operation, and intelligent recommendation to help staff complete disinfection operations efficiently and accurately; Voice Assistant and Intelligent Prompt: An integrated voice assistant allows users to operate through voice commands (such as starting disinfection, querying records, etc.). Meanwhile, the system provides real-time intelligent prompts and error correction according to the work progress.

[0019] S4.1: Interface Design Optimization: Design a graphical interface to ensure that the operation interface is simple and clear, enabling users to easily navigate to the required function modules and reducing misoperations.

[0020] S4.2: Voice Recognition and Guidance: Integrate a voice recognition module to support staff in operating the control system through voice commands, providing a convenient interaction method.

[0021] S4.3: Intelligent Recommendation and Alarm: Based on the progress of the disinfection process and historical data, the system automatically recommends optimized operations and provides intelligent alarms and solutions when potential problems are detected.

[0022] S5: Cost Control and Optimization Analysis: Intelligent Cost Analysis Module: The system will track various costs such as disinfection materials, equipment maintenance, and personnel working hours in real time, generate real-time cost reports through big data analysis, and help hospital managers make more scientific budgets and decisions; Prediction Analysis Function: The system combines historical data and uses machine learning algorithms to predict the disinfection process and the consumption of disinfection materials, identifying potential resource bottlenecks and cost peaks in advance.

[0023] S5.1: Cost Tracking and Report Generation: The system automatically records information such as disinfectant used for disinfection, equipment operation time, and personnel consumption, and generates detailed cost reports.

[0024] S5.2: Prediction Analysis and Budget Optimization: Based on historical data, the system conducts cost trend prediction to help hospitals optimize resource allocation and budget planning, reducing waste.

[0025] S5.3: Optimization Suggestion Push: According to the cost analysis results, the system pushes optimization suggestions to hospital managers to help reduce unnecessary expenses during disinfection.

[0026] S6: Remote Technical Support and Online Training: Remote Monitoring and Fault Diagnosis: The technical support team can remotely access the system, monitor the operating status of disinfection equipment in real time, conduct fault diagnosis and repair, reducing the time and cost of on-site maintenance; Online Training Platform: Provide online training resources (video tutorials, operation manuals, FAQs, etc.) to help hospital employees quickly master operation skills and ensure that operators meet the qualification requirements through online assessments.

[0027] S6.1: Remote Monitoring and Technical Support: Through remote desktop technology, technical support personnel can access the system to view the device status and data in real time, remotely diagnose problems and guide operators to solve them;

[0028] S6.2: Online Learning and Certification: An online learning module is integrated into the system, providing detailed operation manuals, training videos and answers to frequently asked questions. After employees complete the training, their operation skills are verified through an online exam;

[0029] S6.3: Automatic Fault Reporting and Repair: When the system detects a device fault or abnormal operation, it automatically generates a report and pushes it to the remote technical support team for a quick response and repair.

[0030] S7: Improving System Flexibility and Customization Capability: Modular and Customizable Design: The system adopts a modular design, allowing hospitals to select the required functional modules according to their own needs, flexibly configure the system, and support hospitals of different scales and types; Adaptive Adjustment Function: According to the different disinfection requirements and equipment configurations of hospitals, the system can automatically adapt and adjust the work process and disinfection parameters to ensure highly personalized services;

[0031] S7.1: Module Selection and Customization: According to the scale and needs of the hospital, select suitable functional modules and customize the interface and process to adapt to different working environments;

[0032] S7.2: Adaptive Optimization Settings: The system automatically analyzes the hospital's disinfection process and intelligently adjusts the working parameters and process based on information such as equipment usage frequency and disinfection type.

[0033] Preferably, an open architecture is adopted in step S1, and standardized interfaces (such as HL7, FHIR, RESTful API) are used to share and integrate data with hospital information systems (HIS), electronic medical record systems (EMR), laboratory information systems (LIS), etc. Middleware technology (such as Apache Kafka, RabbitMQ) is used to achieve efficient transmission and real-time synchronization of data streams. Interface Design: Develop a set of standard API interfaces to support data interaction with various internal management systems of the hospital, ensuring the synchronization of endoscope disinfection records with patient information, equipment status, disinfection effects, etc. Data Synchronization and Verification: Configure timed synchronization tasks to ensure that data such as disinfection information, equipment status, and disinfectant usage can be accurately transmitted to other management systems of the hospital. System Connection Test: Conduct a comprehensive system integration test before formal deployment to verify whether the data stream between different systems is smooth and whether the interfaces are stable.

[0034] Preferably, in step S2, intelligent sensors such as temperature, humidity, and concentration are integrated into the disinfection equipment, and data is transmitted to the cloud platform through a wireless network to monitor various environmental parameters during the disinfection process in real time. Equipment configuration and sensor installation: Install sensors such as temperature, humidity, and disinfectant concentration in the disinfection equipment to ensure that environmental data during the disinfection process can be obtained in real time. Real-time data collection and transmission: Through wireless communication technologies (such as Wi-Fi, Bluetooth, or Zigbee), the data collected by the sensors is transmitted to the background management system in real time. Disinfection condition verification and automatic adjustment: The system automatically verifies whether the disinfection conditions meet the requirements according to preset standard values (such as temperature, humidity, concentration). If it is found that the conditions do not meet the standards, the system will trigger an alarm and automatically adjust the parameters of the disinfection equipment. Use intelligent ATP detectors, fluorescence detectors and other equipment to detect the cleanliness of the endoscope surface, and upload the data wirelessly to the management platform for effect analysis. Configuration of effect detection tools: After disinfection, use an ATP detector or a fluorescence detector to detect the cleanliness of the endoscope. The equipment will automatically collect surface contamination data. Automatic data upload: The detection equipment is connected to the management system and automatically uploads the detection results to the background and generates a disinfection effect report. Automatic evaluation and feedback: The system automatically judges whether the disinfection effect is qualified according to the detection data and provides relevant suggestions (such as the need for re-disinfection or adjustment of disinfection parameters).

[0035] Preferably, in step S3, high-strength encryption algorithms such as AES-256 are used to encrypt sensitive data during storage and transmission. At the same time, a role-based access control (RBAC) management system is applied to manage system permissions. Data encryption: During data storage and transmission, all sensitive information (such as patient information, disinfection records) is encrypted using AES-256 encryption technology to ensure that the data is not leaked or tampered with during transmission and storage. Permission setting: Different access levels are set according to role permissions. For example, disinfection workers can only view disinfection records related to their operations, while administrators can access all data and system configurations. Log recording and auditing: The system records every data access and operation log to ensure that every operation can be traced. Blockchain technology is used to generate a unique timestamp and an immutable operation record for each disinfection operation to ensure the authenticity and transparency of all disinfection records. After each disinfection operation is completed, the system automatically generates a digital signature containing information such as disinfection workers, equipment, disinfectant usage, and environmental conditions and stores it in the blockchain. Blockchain verification: Whenever the disinfection record needs to be viewed, the system automatically obtains the corresponding data from the blockchain to ensure the immutability and authenticity of the data. Traceability audit: Managers can trace the detailed records of each disinfection process through blockchain technology to ensure the transparency and reliability of the data.

[0036] Preferably, in step S4, the interface adopts a modern graphical design, supports touch operations, voice recognition, and real-time feedback, providing a user-friendly interaction experience. Graphical interface design: Design a clear interface, providing functions such as operation guides, progress bars, and alarm reminders, enabling users to quickly locate the parts that need to be operated. Voice recognition support: Integrate a voice recognition module, allowing staff to perform system operations through voice commands (such as "Start disinfection", "Check equipment status"). Real-time feedback and intelligent recommendation: The system provides real-time feedback on the operation progress and disinfection results through intelligent analysis. At the same time, it recommends optimization solutions based on historical data and disinfection processes.

[0037] Preferably, in step S5, the system integrates a financial module to track costs such as disinfection materials, equipment maintenance, and labor in real time, generating an automated cost report. Data collection: The system automatically records data such as the disinfectant used for each disinfection, equipment operation time, and personnel working hours. Cost analysis: The system automatically generates a monthly or quarterly cost analysis report based on the recorded cost data, showing various expenditures during the disinfection process. Optimization suggestions: The system provides optimization suggestions based on the cost analysis results to help hospitals reduce unnecessary expenses (such as excessive consumption of disinfectants or frequent maintenance of equipment).

[0038] Preferably, in step S6, remote desktop technology is used, allowing technical support personnel to access the system in real time to help hospitals solve technical problems or perform system adjustments. Remote access configuration: Technical support personnel log in through an authorized account and use remote desktop software (such as TeamViewer) to enter the hospital system for diagnosis and operation. Real-time fault handling: When problems occur in the system, technical support personnel can remotely diagnose and assist in solving them, reducing the time for on-site repair. Technical report generation: After fault handling, the system automatically generates a maintenance log and technical report for subsequent traceability and management. Integrate an online learning module, providing content such as video tutorials, operation manuals, and FAQs to help hospital staff quickly master system operations. Online learning resource upload: Upload system usage tutorials, operation manuals, frequently asked questions and answers, etc. to the training platform. Learning module and online assessment: Employees can learn system operations through the online platform and verify their learning effects through assessments. After passing, they obtain the system operation qualification. Regular training and assessment: Provide regular technical training and knowledge updates for new and existing employees to ensure standard operation by personnel.

[0039] Preferably, in step S7, the system adopts a modular design, allowing hospitals to customize different functional modules according to specific needs (such as equipment management module, disinfection report module, etc.). Module selection and configuration: According to the scale and needs of the hospital, select appropriate functional modules and customize the operation process, report format, etc. Flexible adjustment and expansion: The system can add or reduce functional modules at any time according to the hospital's needs and make corresponding configuration adjustments. According to the specific operation environment of the hospital (such as the type of disinfection equipment, disinfection process, etc.), the system can adaptively adjust working parameters. System analysis and automatic configuration: The system will analyze the actual needs of the hospital's disinfection operations and automatically adjust the disinfection process, equipment usage rules, etc. Regular optimization and feedback: According to usage data and staff feedback, the system regularly optimizes the operation process to ensure it better adapts to the actual situation of the hospital.

[0040] Compared with the prior art, the present invention provides an intelligent integrated disinfection supply management system, which has the following beneficial effects:

[0041] This intelligent integrated disinfection supply management system provides an efficient, safe and flexible disinfection management solution for medical institutions by integrating advanced Internet of Things technology, data analysis, intelligent monitoring and remote support functions. First of all, the system realizes seamless integration with other hospital information systems, ensuring real-time data sharing and accuracy, and improving management efficiency and decision-making ability. Through intelligent sensors and automated effect detection, the disinfection process is comprehensively monitored to ensure disinfection quality and patient safety. Secondly, the system adopts data encryption and blockchain technology to ensure the security and immutability of disinfection records, and improves data transparency and trust. The cost control and optimization analysis function helps the hospital track disinfection-related costs in real time, reduce unnecessary resource waste, and at the same time the predictive analysis function can identify potential risks and resource bottlenecks in advance to avoid sudden problems in operation. In addition, the system simplifies the operation process, supports voice recognition and intelligent prompts, making the operation more simple and fast, and reducing the occurrence of human errors. Through remote technical support and online training, the system also enhances the hospital's technical support and staff training capabilities, ensuring the smooth operation of the system. Overall, the improved intelligent integrated disinfection supply management system improves the hospital's operation efficiency, ensures patient safety, reduces operation costs, and promotes the digital and intelligent transformation of medical management. Specific embodiments

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] Embodiment

[0044] An embodiment of an intelligent integrated disinfection supply management system

[0045] An intelligent integrated disinfection supply management system includes the following steps:

[0046] S1: System integration and interoperability optimization: Unified platform and open interfaces: Adopt a unified integrated management platform, combined with standardized interfaces (such as HL7, FHIR, RESTful API, etc.), to ensure efficient integration with other hospital systems (HIS, EMR, equipment management systems, etc.). At the same time, the system design should have good scalability and compatibility, supporting the docking of different devices and software platforms; Hierarchical architecture design: Adopt a hierarchical architecture, and the core module interacts with external systems through a data intermediate layer to avoid direct coupling of each system, improving maintainability and system flexibility;

[0047] S1.1: API interface development and docking: Develop standardized API interfaces to ensure that the endoscopic disinfection management system can perform efficient data exchange with other hospital information systems (such as HIS, EMR, LIS);

[0048] S1.2: Configuration of data synchronization mechanism: Configure a timed data synchronization mechanism to ensure that information such as endoscopic usage records, disinfection processes, and equipment status is synchronized with other systems in real time, avoiding data lag or errors;

[0049] S1.3: System modular design: Divide the system into multiple independent modules to ensure that different modules can be independently updated and maintained, while supporting on-demand expansion and customization.

[0050] S2: Intelligent monitoring and verification of disinfection effect: Enhanced Internet of Things (IoT) monitoring function: By integrating more intelligent sensors, key environmental factors during the disinfection process, such as disinfectant concentration, temperature, humidity, pressure, etc., are monitored in real time to ensure that the disinfection effect meets the standards. The sensors and monitoring devices are seamlessly docked with the system to achieve automatic calibration and alarm, Automatic detection of disinfection effect: Combined with high-precision detection equipment (such as ATP detectors, fluorescence detectors, etc.), automatically detect the cleanliness of the endoscopic surface and upload the results in real time for automatic analysis;

[0051] S2.1: Installation and configuration of sensors: Integrate temperature, humidity, and concentration sensors in the disinfection equipment to monitor the environmental conditions during the disinfection process in real time and transmit the data to the management system through a wireless network;

[0052] S2.2: Intelligent Verification and Automatic Alarm: The system automatically verifies whether the disinfection conditions meet the standards based on real-time data. If any abnormalities are detected (such as insufficient disinfectant concentration, non-compliant temperature, etc.), it immediately triggers an alarm and automatically adjusts the parameters of the disinfection equipment;

[0053] S2.3: Automatic Effect Detection and Report Generation: After each disinfection is completed, the system automatically retrieves the detection equipment to conduct effect detection on the endoscope and generates a detailed effect report to ensure the qualified disinfection quality.

[0054] S3: Data Security and Privacy Protection: Data Encryption and Hierarchical Permission Management: Sensitive data is encrypted using industry-leading encryption technologies (such as AES-256), and hierarchical permission management is implemented to ensure that only authorized personnel can access specific data; Application of Blockchain Technology: The blockchain technology is used to ensure the immutability of disinfection records. All disinfection data is stored distributively and marked with timestamps to ensure the authenticity and transparency of the data;

[0055] S3.1: Implementation of Data Encryption: Encryption technologies such as AES-256 are used for the data stored and transmitted to ensure the security of sensitive data such as patient information and disinfection records;

[0056] S3.2: Hierarchical Permission Setting: Different permissions are set according to the roles of users (such as disinfection workers, equipment administrators, doctors, etc.) to ensure that only authorized personnel can access specific information;

[0057] S3.3: Blockchain Storage and Audit: The records of each disinfection operation are stored and certified through the blockchain. All data is immutable, and information such as the operator, equipment status, and disinfection conditions can be traced.

[0058] S4: Simplified Operation and Intelligent Interface: Intelligent Operation Interface: The system adopts a simple and intuitive graphical interface, supporting touch screen, voice recognition operation, and intelligent recommendation to help staff complete disinfection operations efficiently and accurately; Voice Assistant and Intelligent Tips: An integrated voice assistant is provided. Users can operate through voice commands (such as starting disinfection, querying records, etc.), and at the same time, the system provides real-time intelligent tips and error correction according to the work progress;

[0059] S4.1: Interface Design Optimization: Design a graphical interface to ensure that the operation interface is simple and clear, enabling users to easily navigate to the required function modules and reducing misoperations;

[0060] S4.2: Voice Recognition and Guidance: An integrated voice recognition module is supported, enabling staff to control the system through voice commands and providing a convenient interaction method;

[0061] S4.3: Intelligent Recommendation and Alarm: Based on the progress of the disinfection process and historical data, the system automatically recommends optimized operations and provides intelligent alarms and solutions when potential problems are detected.

[0062] S5: Cost Control and Optimization Analysis: Intelligent Cost Analysis Module: The system will track in real time various costs such as disinfection materials, equipment maintenance, and personnel working hours, and generate real-time cost reports through big data analysis to help hospital managers make more scientific budgets and decisions; Prediction Analysis Function: The system combines historical data and uses machine learning algorithms to predict the disinfection process and the consumption of disinfection materials, and identify possible resource bottlenecks and cost peaks in advance;

[0063] S5.1: Cost Tracking and Report Generation: The system automatically records information such as disinfectant used for disinfection, equipment operation time, and personnel consumption, and generates detailed cost reports;

[0064] S5.2: Prediction Analysis and Budget Optimization: Based on historical data, the system conducts cost trend prediction to help hospitals optimize resource allocation and budget planning, and reduce waste;

[0065] S5.3: Optimization Suggestion Push: Based on the cost analysis results, the system pushes optimization suggestions to hospital managers to help reduce unnecessary expenses during the disinfection process.

[0066] S6: Remote Technical Support and Online Training: Remote Monitoring and Fault Diagnosis: The technical support team can remotely access the system, monitor the operating status of disinfection equipment in real time, conduct fault diagnosis and repair, and reduce the time and cost of on-site maintenance; Online Training Platform: Provide online training resources (video tutorials, operation manuals, FAQs, etc.) to help hospital employees quickly master operation skills and ensure that operators meet the qualification requirements through online assessments.

[0067] S6.1: Remote Monitoring and Technical Support: Through remote desktop technology, technical support personnel can enter the system, view device status and data in real time, and remotely diagnose and guide operators to solve problems;

[0068] S6.2: Online Learning and Certification: An online learning module is integrated into the system, providing detailed operation manuals, training videos, and common question answers. After employees complete the training, their operation skills are verified through online exams;

[0069] S6.3: Automatic Fault Reporting and Repair: When the system detects equipment failures or abnormal operations, it automatically generates reports and pushes them to the remote technical support team for quick response and repair.

[0070] S7: Improve system flexibility and customization capabilities: Modular and customizable design: The system adopts a modular design, allowing hospitals to select the required functional modules according to their own needs, flexibly configure the system, and support hospitals of different scales and types; Adaptive adjustment function: According to the different disinfection requirements and equipment configurations of hospitals, the system can automatically adapt and adjust the work process and disinfection parameters to ensure highly personalized services;

[0071] S7.1: Module selection and customization: According to the scale and needs of the hospital, select suitable functional modules and customize the interface and process to adapt to different working environments;

[0072] S7.2: Adaptive optimization settings: The system automatically analyzes the hospital's disinfection process and intelligently adjusts the working parameters and process according to information such as equipment usage frequency and disinfection type.

[0073] Specifically, in step S1, an open architecture is adopted, and standardized interfaces (such as HL7, FHIR, RESTful API) are used to share and integrate data with hospital information systems (HIS), electronic medical record systems (EMR), laboratory information systems (LIS), etc. The middleware technology (such as Apache Kafka, RabbitMQ) is used to achieve efficient transmission and real-time synchronization of data streams. Interface design: Develop a set of standard API interfaces to support data interaction with various internal management systems of the hospital, ensuring the synchronization of endoscopic disinfection records with patient information, equipment status, disinfection effect, etc. Data synchronization and verification: Configure timed synchronization tasks to ensure that data such as disinfection information, equipment status, and disinfectant usage can be accurately transmitted to other management systems of the hospital. System connection test: Conduct a comprehensive system integration test before formal deployment to verify whether the data stream between different systems is smooth and whether the interface is stable.

[0074] Specifically, in step S2, intelligent sensors such as temperature, humidity, and concentration are integrated into the disinfection equipment, and data is transmitted to the cloud platform through a wireless network to monitor various environmental parameters during the disinfection process in real time. Equipment configuration and sensor installation: Install sensors such as temperature, humidity, and disinfectant concentration in the disinfection equipment to ensure that environmental data during the disinfection process can be obtained in real time. Real-time data collection and transmission: Through wireless communication technologies (such as Wi-Fi, Bluetooth, or Zigbee), transmit the data collected by the sensors to the background management system in real time. Disinfection condition verification and automatic adjustment: The system automatically verifies whether the disinfection conditions meet the requirements according to the preset standard values (such as temperature, humidity, concentration). If it is found that the standards are not met, the system will trigger an alarm and automatically adjust the parameters of the disinfection equipment. Use intelligent ATP detectors, fluorescence detectors and other equipment to detect the cleanliness of the endoscope surface, and upload the data wirelessly to the management platform for effect analysis. Effect detection tool configuration: After disinfection, use an ATP detector or a fluorescence detector to detect the cleanliness of the endoscope. The equipment will automatically collect surface contamination data. Automatic data upload: The detection equipment is connected to the management system and automatically uploads the detection results to the background and generates a disinfection effect report. Automatic evaluation and feedback: The system automatically judges whether the disinfection effect is qualified according to the detection data and provides relevant suggestions (such as the need to re-disinfect or adjust the disinfection parameters).

[0075] Specifically, in step S3, high-strength encryption algorithms such as AES-256 are used to encrypt sensitive data during storage and transmission. At the same time, a role-based access control (RBAC) management system is applied to manage system permissions. Data encryption: During data storage and transmission, all sensitive information (such as patient information, disinfection records) uses AES-256 encryption technology to ensure that the data is not leaked or tampered with during transmission and storage. Permission setting: Different access levels are set according to role permissions. For example, disinfection personnel can only view disinfection records related to their operations, while administrators can access all data and system configurations. Log recording and auditing: The system records every data access and operation log to ensure that every operation can be traced. Use blockchain technology to generate a unique timestamp and an immutable operation record for each disinfection operation to ensure the authenticity and transparency of all disinfection records. After each disinfection operation is completed, the system automatically generates a digital signature containing information such as disinfection personnel, equipment, disinfectant usage, and environmental conditions and stores it in the blockchain. Blockchain verification: Whenever it is necessary to view the disinfection records, the system automatically obtains the corresponding data from the blockchain to ensure the immutability and authenticity of the data. Traceability audit: Management personnel can trace the detailed records of each disinfection process through blockchain technology to ensure the transparency and reliability of the data.

[0076] Specifically, in step S4, the interface adopts a modern graphical design, supports touch operations, voice recognition, and real-time feedback, providing a user-friendly interaction experience. Graphical interface design: Design a clear interface, providing functions such as operation guides, progress bars, and alarm reminders, enabling users to quickly locate the parts that need to be operated. Voice recognition support: Integrate a voice recognition module, allowing staff to perform system operations through voice commands (such as "Start disinfection", "Check equipment status"). Real-time feedback and intelligent recommendations: The system conducts intelligent analysis and implementation.

[0077] Specifically, in step S5, the system integrates a financial module to track costs such as disinfection materials, equipment maintenance, and manpower in real time, generating an automated cost report. Data collection: The system automatically records data such as the disinfectant used for each disinfection, equipment operation time, and personnel working hours. Cost analysis: The system automatically generates a monthly or quarterly cost analysis report based on the recorded cost data, showing various expenditures during the disinfection process. Optimization suggestions: The system provides optimization suggestions based on the cost analysis results to help hospitals reduce unnecessary expenses (such as excessive consumption of disinfectants or frequent maintenance of equipment).

[0078] Specifically, in step S6, remote desktop technology is used, allowing technical support personnel to access the system in real time to help hospitals solve technical problems or perform system adjustments. Remote access configuration: Technical support personnel log in with an authorized account and use remote desktop software (such as TeamViewer) to enter the hospital system for diagnosis and operation. Real-time fault handling: When problems occur in the system, technical support personnel can remotely diagnose and assist in solving them, reducing the time for on-site repairs. Technical report generation: After fault handling, the system automatically generates a maintenance log and technical report for subsequent traceability and management. Integrate an online learning module, providing content such as video tutorials, operation manuals, and FAQs to help hospital staff quickly master system operations. Online learning resource upload: Upload materials such as system usage tutorials, operation manuals, and frequently asked questions to the training platform. Learning module and online assessment: Employees can learn system operations through the online platform and verify their learning effects through assessments. After passing, they obtain the system operation qualification. Regular training and assessment: Provide regular technical training and knowledge updates for new and existing employees to ensure standardized personnel operations.

[0079] Specifically, in step S7, the system adopts a modular design, allowing hospitals to customize different functional modules according to specific needs (such as equipment management module, disinfection report module, etc.). Module selection and configuration: According to the hospital scale and requirements, select appropriate functional modules and customize the operation process, report format, etc. Flexible adjustment and expansion: The system can add or reduce functional modules at any time according to hospital needs and make corresponding configuration adjustments. According to the specific operation environment of the hospital (such as disinfection equipment type, disinfection process, etc.), the system can adaptively adjust working parameters. System analysis and automatic configuration: The system will analyze the actual needs of hospital disinfection operations and automatically adjust disinfection processes, equipment usage rules, etc. Regular optimization and feedback: According to usage data and staff feedback, the system regularly optimizes the operation process to ensure it better adapts to the actual situation of the hospital.

[0080] Through the above technical solutions, in the present invention, by integrating advanced Internet of Things technology, data analysis, intelligent monitoring and remote support functions, an efficient, safe and flexible disinfection management solution is provided for medical institutions. First of all, the system realizes seamless integration with other hospital information systems, ensuring real-time data sharing and accuracy, and improving management efficiency and decision-making ability. Through intelligent sensors and automated effect detection, the disinfection process is comprehensively monitored to ensure disinfection quality and patient safety. Secondly, the system adopts data encryption and blockchain technology to ensure the security and immutability of disinfection records, enhancing data transparency and trust. The cost control and optimization analysis function helps hospitals track disinfection-related costs in real time, reducing unnecessary resource waste, while the predictive analysis function can identify potential risks and resource bottlenecks in advance to avoid sudden problems in operation. In addition, the system simplifies the operation process, supports voice recognition and intelligent prompts, making the operation more simple and fast, and reducing the occurrence of human errors. Through remote technical support and online training, the system also enhances the hospital's technical support and staff training capabilities, ensuring the smooth operation of the system. Overall, the improved intelligent integrated disinfection supply management system improves the hospital's operation efficiency, ensures patient safety, reduces operation costs, and promotes the digital and intelligent transformation of medical management.

[0081] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent integrated disinfection supply management system, characterized by: The following steps are involved: S1: System integration and interoperability optimization: Unified platform and open interface: Adopt a unified integrated management platform, combined with standardized interfaces (such as HL7, FHIR, RESTful API, etc.), to ensure efficient integration with other hospital systems (HIS, EMR, equipment management system, etc.). At the same time, the system design should have good scalability and compatibility, and support the docking of different devices and software platforms; Layered architecture design: Adopt a layered architecture, and the core module interacts with the external system through the data middle layer to avoid direct coupling of the systems, improve maintainability and system flexibility; S1.1: API interface development and docking: Develop standardized API interfaces to ensure that the endoscope disinfection management system can exchange data efficiently with other hospital information systems (such as HIS, EMR, LIS); S1.2: Data synchronization mechanism configuration: Configure a timed data synchronization mechanism to ensure that information such as endoscope usage records, disinfection process, and equipment status are synchronized with other systems in real time to avoid data lag or errors; S1.3: System modular design: Divide the system into multiple independent modules to ensure that different modules can be updated and maintained independently, while supporting on-demand expansion and customization. S2: Intelligent monitoring and disinfection effect verification: Enhanced Internet of Things (IoT) monitoring function: By integrating more intelligent sensors, key environmental factors in the disinfection process, such as disinfectant concentration, temperature, humidity, pressure, etc., are monitored in real time to ensure that the disinfection effect meets the standards. Sensors and monitoring equipment are seamlessly connected to the system to achieve automatic verification and alarm, and automatic detection of disinfection effects: Combined with high-precision detection equipment (such as ATP detectors, fluorescence detectors, etc.), the cleanliness of the endoscope surface is automatically detected, and the results are uploaded in real time for automatic analysis; S2.1: Sensor installation and configuration: Integrate temperature, humidity, and concentration sensors in the disinfection equipment to monitor the environmental conditions during the disinfection process in real time and transmit the data to the management system via wireless network; S2.2: Intelligent verification and automatic alarm: The system automatically verifies whether the disinfection conditions meet the standards based on real-time data. If an abnormality is found (such as insufficient disinfectant concentration, substandard temperature, etc.), the system immediately triggers an alarm and automatically adjusts the disinfection equipment parameters; S2.3: Automatic effect detection and report generation: After each disinfection, the system automatically calls up the detection equipment to perform effect detection on the endoscope and generates a detailed effect report to ensure the quality of disinfection. S3: Data security and privacy protection: Data encryption and hierarchical permission management: Use industry-leading encryption technology (such as AES-256) to encrypt sensitive data and implement hierarchical permission management to ensure that only authorized personnel can access specific data; Blockchain technology application: Use blockchain technology to ensure the immutability of disinfection records. All disinfection data is distributedly stored and timestamped to ensure the authenticity and transparency of the data; S3.1: Data encryption implementation: Use encryption technologies such as AES-256 for stored and transmitted data to ensure the security of sensitive data such as patient information and disinfection records; S3.2: Hierarchical permission setting: Set different permissions according to the user's role (such as disinfector, equipment manager, doctor, etc.) to ensure that only authorized personnel can access specific information; S3.3: Blockchain storage and auditing: Each disinfection operation is recorded on the blockchain. All data cannot be tampered with and can be traced back to the operator, equipment status, disinfection conditions and other information. S4: Simplified operation and intelligent interface: Intelligent operation interface: The system adopts a simple and intuitive graphical interface, supports touch screen, voice recognition operation and intelligent recommendation, helping staff to complete disinfection operations efficiently and accurately; Voice assistant and intelligent prompts: With integrated voice assistant, users can operate through voice commands (such as starting disinfection, querying records, etc.), and the system provides real-time intelligent prompts and error corrections based on the work progress; S4.1: Interface design optimization: Design a graphical interface to ensure that the operation interface is concise and clear, so that users can easily navigate to the required functional modules and reduce misoperation; S4.2: Voice recognition and guidance: The integrated voice recognition module supports staff to operate the control system through voice commands, providing a convenient interaction method; S4.3: Intelligent recommendations and alarms: Based on the disinfection process progress and historical data, the system automatically recommends optimized operations and provides intelligent alarms and solutions when potential problems are found. S5: Cost control and optimization analysis: Intelligent cost analysis module: The system will track the costs of disinfection materials, equipment maintenance, staff hours, etc. in real time, generate real-time cost reports through big data analysis, and help hospital managers make more scientific budgets and decisions; Prediction analysis function: The system combines historical data and uses machine learning algorithms to predict the consumption of disinfection processes and disinfection materials, and identify possible resource bottlenecks and cost peaks in advance; S5.1: Cost tracking and report generation: The system automatically records information such as disinfectant used, equipment operation time, and personnel consumption, and generates a detailed cost report; S5.2: Prediction analysis and budget optimization: Based on historical data, the system predicts cost trends to help hospitals optimize resource allocation and budget planning and reduce waste; S5.3: Optimization suggestion push: Based on the cost analysis results, the system pushes optimization suggestions to hospital managers to help reduce unnecessary expenses during the disinfection process. S6: Remote technical support and online training: Remote monitoring and fault diagnosis: The technical support team can remotely access the system, monitor the operating status of the disinfection equipment in real time, perform fault diagnosis and repair, and reduce the time and cost of on-site maintenance; Online training platform: provides online training resources (video tutorials, operation manuals, FAQs, etc.) to help hospital staff quickly master operation skills, and ensure that operators meet qualification requirements through online assessments. S6.1: Remote monitoring and technical support: Through remote desktop technology, technical support personnel can access the system, view equipment status and data in real time, remotely diagnose and guide operators to solve problems; S6.2: Online learning and certification: The system integrates an online learning module, which provides detailed operation manuals, training videos and FAQs. After completing the training, employees can verify their operation skills through online examinations. S6.3: Automatic fault reporting and repair: When the system detects a device failure or abnormal operation, a report is automatically generated and pushed to the remote technical support team for rapid response and repair. S7: Improve system flexibility and customization capabilities: Modular and customizable design: The system adopts a modular design, allowing hospitals to select the required functional modules according to their own needs, flexibly configure the system, and support hospitals of different sizes and types; Adaptive adjustment function: According to the different disinfection needs and equipment configurations of the hospital, the system can automatically adapt and adjust the workflow and disinfection parameters to ensure highly personalized services; S7.1: Module selection and customization: Select appropriate functional modules according to the scale and needs of the hospital, and customize the interface and process to adapt to different working environments; S7.2: Adaptive optimization settings: The system automatically analyzes the hospital's disinfection process and intelligently adjusts working parameters and processes based on information such as equipment usage frequency and disinfection type.

2. The intelligent integrated disinfection supply management system according to claim 1, characterized in that: In step S1, an open architecture is adopted, and standardized interfaces (such as HL7, FHIR, RESTful API) are used to share and integrate data with hospital information systems (HIS), electronic medical record systems (EMR), laboratory information systems (LIS), etc. Middleware technology (such as Apache Kafka, RabbitMQ) is used to achieve efficient transmission and real-time synchronization of data streams. Interface design: Develop a set of standard API interfaces to support data interaction with various management systems within the hospital to ensure synchronization of endoscope disinfection records with patient information, equipment status, disinfection effects, etc. Data synchronization and verification: Configure scheduled synchronization tasks to ensure that disinfection information, equipment status, disinfectant usage and other data can be accurately transmitted to other management systems in the hospital. System connection test: Perform a comprehensive system integration test before formal deployment to verify whether the data flow between different systems is smooth and whether the interface is stable.

3. The intelligent integrated disinfection supply management system according to claim 1, characterized in that: In step S2, intelligent sensors such as temperature, humidity, and concentration are integrated into the disinfection equipment, and data is transmitted through the wireless network and the cloud platform to monitor various environmental parameters of the disinfection process in real time. Equipment configuration and sensor installation: sensors such as temperature, humidity, and disinfectant concentration are installed in the disinfection equipment to ensure that environmental data of the disinfection process can be obtained in real time. Real-time data collection and transmission: the data collected by the sensor is transmitted to the background management system in real time through wireless communication technology (such as Wi-Fi, Bluetooth or Zigbee). Disinfection condition verification and automatic adjustment: the system automatically verifies whether the disinfection conditions meet the requirements according to the preset standard values ​​(such as temperature, humidity, concentration). If the disinfection conditions meet the requirements, the system will automatically verify whether the disinfection conditions meet the requirements. If it does not meet the standards, the system will trigger an alarm and automatically adjust the parameters of the disinfection equipment. Through intelligent ATP detectors, fluorescence detectors and other equipment, the cleanliness of the endoscope surface is detected, and the wireless data is uploaded to the management platform for effect analysis. Effect detection tool configuration: After disinfection, use ATP detectors or fluorescence detectors to detect the cleanliness of the endoscope. The equipment will automatically collect surface contamination data and automatically upload data: The detection equipment is connected to the management system, and the test results are automatically uploaded to the background, and a disinfection effect report is generated. Automatic evaluation and feedback: The system automatically determines whether the disinfection effect is qualified based on the test data, and provides relevant suggestions (if re-disinfection or adjustment of disinfection parameters is required).

4. The intelligent integrated disinfection supply management system according to claim 1, characterized in that: In step S3, AES-256 and other high-strength encryption algorithms are used to encrypt the stored and transmitted sensitive data. At the same time, role-based access control (RBAC) is applied to manage system permissions. Data encryption: During data storage and transmission, all sensitive information (such as patient information and disinfection records) uses AES-256 encryption technology to ensure that the data is not leaked or tampered with during transmission and storage. Permission setting: Different access levels are set according to role permissions. For example, disinfection personnel can only view disinfection records related to operations, while administrators can access all data and system configurations. Logging and auditing: The system records every data access. and operation logs to ensure that each operation can be traced. Blockchain technology is used to generate a unique timestamp and an unalterable operation record for each disinfection operation to ensure the authenticity and transparency of all disinfection records. After each disinfection operation, the system automatically generates a digital signature containing information such as the disinfector, equipment, disinfectant usage, and environmental conditions, and stores it in the blockchain. Blockchain verification: Whenever the disinfection record needs to be viewed, the system automatically obtains the corresponding data from the blockchain to ensure the unalterability and authenticity of the data. Traceability audit: Managers can trace the detailed records of each disinfection process through blockchain technology to ensure the transparency and reliability of the data.

5. The intelligent integrated disinfection supply management system according to claim 1, characterized in that: The interface in step S4 adopts a modern graphical design, supports touch operation, voice recognition and real-time feedback, and provides a user-friendly interactive experience. Graphical interface design: a clear interface is designed to provide operation guidance, progress bar, alarm reminder and other functions, so that users can quickly locate the part that needs to be operated. Voice recognition support: an integrated voice recognition module allows staff to operate the system through voice commands (such as "start disinfection" and "check equipment status"). Real-time feedback and intelligent recommendation: the system uses intelligent analysis to provide real-time feedback on operation progress and disinfection results. At the same time, it recommends optimization plans based on historical data and disinfection processes.

6. The intelligent integrated disinfection supply management system according to claim 1, characterized in that: In step S5, the system integrates a financial module to track the costs of disinfection materials, equipment maintenance, manpower, etc. in real time and generate an automated cost report. Data collection: the system automatically records the disinfectant used for each disinfection, equipment operating time, manpower hours, etc. Cost analysis: the system automatically generates a monthly or quarterly cost analysis report based on the recorded cost data, showing the various expenditures during the disinfection process. Optimization suggestions: the system provides optimization suggestions based on the cost analysis results to help hospitals reduce unnecessary expenses (such as excessive consumption of disinfectants or frequent maintenance of equipment).

7. The intelligent integrated disinfection supply management system according to claim 1, characterized in that: In the step S6, remote desktop technology is used, and technical support personnel can access the system in real time to help the hospital solve technical problems or make system adjustments. Remote access configuration: technical support personnel log in through an authorized account and use remote desktop software (such as TeamViewer) to enter the hospital system for diagnosis and operation. Real-time fault handling: when a problem occurs in the system, technical support personnel can remotely diagnose and assist in solving it, reducing the time for on-site maintenance. Technical report generation: after the fault is handled, the system automatically generates a maintenance log and a technical report for subsequent tracing and management. An integrated online learning module is provided to provide video tutorials, operation manuals, FAQs and other content to help hospital employees quickly master system operations. Online learning resource upload: upload system usage tutorials, operation manuals, FAQs and other materials to the training platform. Learning modules and online assessments: employees can learn system operations through the online platform and verify the learning effect through assessments. After passing the assessments, they will obtain system operation qualifications. Regular training and assessments: regular technical training and knowledge updates are provided to new and existing employees to ensure standardized operations.

8. The intelligent integrated disinfection supply management system according to claim 1, characterized in that: In step S7, the system adopts a modular design, allowing the hospital to customize different functional modules (such as equipment management module, disinfection report module, etc.) according to specific needs. Module selection and configuration: select appropriate functional modules according to the scale and needs of the hospital, and customize the operation process, report format, etc. Flexible adjustment and expansion: the system can add or reduce functional modules at any time according to the needs of the hospital, and make corresponding configuration adjustments. According to the specific operating environment of the hospital (such as the type of disinfection equipment, disinfection process, etc.), the system can adaptively adjust the working parameters. System analysis and automatic configuration: the system will analyze the actual needs of the hospital's disinfection operations, and automatically adjust the disinfection process, equipment use rules, etc. Regular optimization and feedback: based on usage data and staff feedback, the system regularly optimizes the operating process to ensure that it is more adapted to the actual situation of the hospital.