Medical waste full-process tracking management system

Abstract

The invention provides a medical waste full-process tracking management system. The medical waste full-process tracking management system comprises a hardware module which comprises an RFID tag used for medical waste identification, a data acquisition terminal, a communication network device and a server; the software module comprises software programs for data acquisition, transmission, storage and processing; and the data model is used for storing the whole process information of the medical waste in the links of generation, collection, transportation, processing and the like, adopts a relational database model, and meets a first normal form, a second normal form and a third normal form. According to the medical waste full-process tracking management system, by introducing a cyclic redundancy check algorithm and a Hamming code error correction algorithm, the possibility of data entry errors and transmission errors is greatly reduced, the integrity and accuracy of data are ensured, meanwhile, the running state of equipment is predicted by using a gray prediction model, and the accuracy of the equipment is improved. Possible equipment faults are warned in advance, and the problems caused by the equipment faults in system operation are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of medical waste tracking, and in particular to a full-process tracking and management system for medical waste. Background Art

[0002] The basic structure of the medical waste full-process tracking and management system includes the full monitoring and management of medical waste from generation to final disposal. The system uses technologies such as the Internet of Things, RFID tags, and GPS positioning to track medical waste in real time and record information. By assigning a unique identification code to each batch of medical waste, the system can record detailed information such as the source, type, quantity, collection time, transportation route, and disposal method of the waste, ensuring the transparency and traceability of the entire process, and improving management efficiency and safety.

[0003] The system also has some flaws. The complexity of the system increases the training requirements for operators, and in actual operation, problems such as data entry errors and equipment failures may occur, affecting the accuracy of tracking. The scalability and compatibility of the system are limited. With the expansion of medical institutions or the update of technology, the original system may not be able to meet new needs. Summary of the invention

[0004] In view of the shortcomings of the existing technology, the present invention provides a full-process tracking and management system for medical waste, which solves the problem that data entry errors and equipment failures may occur in actual operation due to increased complexity; the scalability and compatibility are limited, and with the expansion of medical institutions or the updating of technology, the original system may not be able to meet new needs.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a full-process tracking and management system for medical waste, comprising:

[0006] Hardware module: including RFID tags for medical waste identification, data collection terminals, communication network equipment and servers;

[0007] Software modules: including software programs for data acquisition, transmission, storage and processing;

[0008] Data model: used to store the whole process information of medical waste in the generation, collection, transportation, treatment and other links, using the relational database model, meeting the first normal form, the second normal form and the third normal form to ensure the consistency and integrity of the data;

[0009] Data verification model: A cyclic redundancy check algorithm is used to ensure the integrity of data transmission. The calculation formula is:

[0010] CRC=(D(x)×x n )modG(x);

[0011] Where D(x) is the data polynomial, G(x) is the generator polynomial, and n is the highest power of the generator polynomial;

[0012] Error correction model: The Hamming code error correction algorithm is used to detect and correct single-bit errors in data, satisfying the following conditions:

[0013] 2 r ≥m+r+1;

[0014] Among them, m is the number of data bits, r is the number of check bits;

[0015] Equipment failure prediction model: The gray prediction model GM (1,1) is used to predict the equipment operation status. The prediction formula is:

[0016]

[0017] in, is the predicted value at the k+1th moment, X(0)(1) is the initial value, a and b are model parameters, and e is the base of the natural logarithm;

[0018] Through the above models and algorithms, the impact of data entry errors and equipment failures on the system is reduced, and through modular design and standardized interfaces, the scalability and compatibility of the system are achieved to meet the needs of medical institution expansion and technological updates.

[0019] Preferably, the RFID tag has a unique identification code and supports an encryption algorithm to ensure the security and uniqueness of medical waste information.

[0020] Preferably, the data acquisition terminal includes a handheld scanning device and a mobile terminal application, supports barcode and QR code scanning, simplifies the operation process, and the communication network device supports wired, wireless and cellular network communications to ensure the stability and reliability of data transmission.

[0021] Preferably, the server adopts a cloud computing architecture, supports distributed deployment and elastic expansion, and improves the scalability of the system. The software module adopts a modular design, supports dynamic addition and updating of functional modules, and improves the compatibility and maintainability of the system.

[0022] Preferably, the data model adopts a standardized data format and interface protocol to support data interaction with other medical information systems. The medical waste full-process tracking and management system provides a user-friendly operation interface, supports personalized customization and authority management, and reduces the difficulty of learning and use for users.

[0023] Preferably, the medical waste full-process tracking and management system supports a multi-language environment, facilitates operation by users with different language backgrounds, and improves the versatility of the system. The medical waste full-process tracking and management system has a fault-tolerant and redundant mechanism, supports hot backup and automatic fault switching, and ensures the high availability of the system.

[0024] Preferably, the medical waste full-process tracking and management system adopts blockchain technology to encrypt and store data of the medical waste treatment process to ensure that the data cannot be tampered with and is traceable. The medical waste full-process tracking and management system supports online upgrades and remote maintenance to meet the needs of medical institution expansion and technological updates.

[0025] Preferably, the medical waste full-process tracking and management system integrates data analysis and report generation functions to optimize medical waste management and provide decision support. The medical waste full-process tracking and management system adopts encryption algorithms and security protocols to prevent data from being illegally accessed and tampered with during transmission and storage, thereby ensuring information security.

[0026] The present invention provides a full-process tracking and management system for medical waste, which has the following beneficial effects:

[0027] The full-process tracking and management system for medical waste has greatly reduced the possibility of data entry errors and transmission errors by introducing cyclic redundancy check algorithms and Hamming code error correction algorithms, ensuring the integrity and accuracy of the data. At the same time, the gray prediction model is used to predict the operating status of the equipment, and possible equipment failures are warned in advance, reducing the problems caused by equipment failures during system operation. The application of these algorithms improves the reliability and stability of the system and solves the problems of data errors and equipment failures caused by increased complexity.

[0028] The system adopts modular design and standardized interfaces, and has good scalability and compatibility. The server adopts cloud computing architecture, supports distributed deployment and elastic expansion, and can adapt to the expansion and technology update needs of medical institutions. The software module supports the dynamic addition and update of functional modules, and the data model adopts standardized data format and interface protocol to facilitate data interaction with other medical information systems. In addition, the system supports multi-language environment and user-friendly operation interface, has fault tolerance and redundancy mechanism, and supports online upgrade and remote maintenance. These features ensure that the system can run efficiently in different scales and technical environments, solving the problem that the original system cannot meet new needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Embodiment 1

[0032] like Figure 1 As shown, an embodiment of the present invention provides a full-process tracking and management system for medical waste, including hardware modules: including RFID tags for medical waste identification, data collection terminals, communication network equipment and servers. The RFID tags have unique identification codes and support encryption algorithms to ensure the security and uniqueness of medical waste information. The RFID tags use passive ultra-high frequency technology, with an operating frequency band of 860-960 MHz and a reading distance of up to 6 meters, which is convenient for non-contact data collection. The label material is made of high-temperature resistant, corrosion-resistant and antibacterial materials, which are suitable for the special conditions of the medical environment and are guaranteed not to be damaged during high-temperature sterilization and chemical disinfection. The RFID tags comply with ISO / IEC 18000-6C and EPCglobal Class 1Gen 2 standards to ensure compatibility with RFID systems worldwide. The handheld device is equipped with a high-performance processor and a high-definition camera, supports optical character recognition technology, and can read text information on the label. The terminal device uses a touch screen design, supports gesture operation and voice input, and improves user experience.

[0033] Software module: includes software programs for data collection, transmission, storage and processing. Data collection terminals include handheld scanning devices and mobile terminal applications, support bar code and QR code scanning, simplify operation procedures, communication network equipment supports wired, wireless and cellular network communications to ensure the stability and reliability of data transmission. The server adopts cloud computing architecture, supports distributed deployment and elastic expansion, and improves the scalability of the system.

[0034] Data model: used to store the whole process information of medical waste in the generation, collection, transportation, treatment and other links. It adopts relational database model, meets the first paradigm, second paradigm and third paradigm, ensures the consistency and integrity of data, and the software module adopts modular design to support the dynamic addition and update of functional modules, improve the compatibility and maintainability of the system. The data model adopts standardized data format and interface protocol, supports data interaction with other medical information systems, and provides a user-friendly operation interface for the whole process tracking and management system of medical waste, supports personalized customization and authority management, and reduces the difficulty of learning and use for users.

[0035] Data verification model: A cyclic redundancy check algorithm is used to ensure the integrity of data transmission. The calculation formula is:

[0036] CRC=(D(x)×x n )modG(x);

[0037] Where D(x) is the data polynomial, G(x) is the generating polynomial, and n is the highest power of the generating polynomial.

[0038] Error correction model: The Hamming code error correction algorithm is used to detect and correct single-bit errors in data, satisfying the following conditions:

[0039] 2 r ≥m+r+1;

[0040] Among them, m is the number of data bits and r is the number of check bits.

[0041] Equipment failure prediction model: The gray prediction model GM (1,1) is used to predict the equipment operation status. The prediction formula is:

[0042]

[0043] in, is the predicted value at the k+1th moment, X (0) (1) is the initial value, a and b are model parameters, and e is the base of the natural logarithm.

[0044] Through the above models and algorithms, the impact of data entry errors and equipment failures on the system is reduced, and through modular design and standardized interfaces, the scalability and compatibility of the system are achieved to meet the needs of medical institution expansion and technological updates. The full-process tracking and management system for medical waste supports multilingual environments, which is convenient for users with different language backgrounds to operate and improves the versatility of the system. The full-process tracking and management system for medical waste has fault-tolerant and redundant mechanisms, supports hot backup and automatic fault switching, and ensures the high availability of the system. The full-process tracking and management system for medical waste adopts blockchain technology to encrypt and store data of the medical waste treatment process to ensure that the data cannot be tampered with and is traceable. The full-process tracking and management system for medical waste supports online upgrades and remote maintenance to meet the needs of medical institution expansion and technological updates. The full-process tracking and management system for medical waste integrates data analysis and report generation functions to optimize and support decision-making for medical waste management. The full-process tracking and management system for medical waste adopts encryption algorithms and security protocols to prevent data from being illegally accessed and tampered with during transmission and storage, and to ensure information security. The server cluster adopts load balancing and automatic expansion strategies to dynamically adjust resource allocation according to business volume.

[0045] Embodiment 2

[0046] How to use the full-process tracking management system for medical waste

[0047] The following is a detailed description of the use of the medical waste full-process tracking management system of the present invention in conjunction with a specific embodiment. This embodiment is intended to demonstrate how to use the system to achieve full-process tracking management of medical waste from generation to final treatment.

[0048] Step 1: Generation and initial identification of medical waste

[0049] a. Preparation of waste collection containers: Special medical waste collection containers are placed in various departments of medical institutions such as operating rooms, wards, and laboratories. These containers meet the national medical waste collection standards and have anti-leakage and anti-puncture properties.

[0050] b. RFID tag binding: bind an RFID tag to each waste collection container. The tag has a unique identification code and uses passive ultra-high frequency technology with a reading distance of up to 6 meters. The tag material is made of high temperature resistant, corrosion resistant and antibacterial materials, which can remain intact during high temperature sterilization and chemical disinfection. The RFID tag complies with ISO / IEC18000-6C and EPCglobalClass1Gen2 standards to ensure compatibility with RFID systems worldwide.

[0051] c. Information initialization: Use a handheld data collection terminal to initialize the RFID tag. Enter the department to which the container belongs, the waste category such as infectious, pathological, damaging, initial weight, etc. The terminal device adopts a touch screen design, supports gesture operation and voice input, and improves the user experience. The handheld device is equipped with a high-performance processor and a high-definition camera, supports optical character recognition technology, and can read the text information on the label.

[0052] Step 2: Collection and Recording of Medical Waste

[0053] a. Waste disposal: In their daily work, department staff will put the generated medical waste into the collection container bound with the RFID tag.

[0054] b. Dynamic weight update: Periodically or after the waste is placed, use the weighing function of the handheld data collection terminal to update the real-time weight of the waste in the container to ensure the accuracy of the data.

[0055] c. Data upload: The collected waste information is uploaded to the server in real time through the communication network equipment. During the data transmission process, cyclic redundancy check and Hamming code error correction algorithm are used to ensure the integrity and accuracy of the data.

[0056] Step 3: Internal transportation of medical waste

[0057] a. Collection plan generation: The system automatically generates an internal collection plan based on the amount of waste generated by each department and notifies the waste management personnel.

[0058] b. Waste collection: Waste management personnel collect waste from various departments according to the plan. Use data collection terminals to scan RFID tags on containers and verify waste information.

[0059] c. Information confirmation: After the collection is completed, the system automatically updates the waste circulation status and records the collection time, person in charge and other information.

[0060] Step 4: Temporary storage and monitoring of medical waste

[0061] a. Temporary storage area management: The collected medical waste is stored in a designated temporary storage area. The temporary storage area is equipped with environmental monitoring equipment to monitor temperature, humidity and other parameters in real time to ensure that the storage environment meets the regulations.

[0062] b. Inventory management: The system monitors the quantity and type of waste in the temporary storage area in real time. When the amount of waste approaches the storage capacity or the storage time reaches the limit, the system automatically issues an early warning, indicating that it needs to be transported out for processing.

[0063] c. Security: The temporary storage area uses video surveillance and access control systems to prevent unauthorized personnel from entering and ensure the safe storage of waste.

[0064] Step 5: External transportation of medical waste

[0065] a. Transportation plan formulation: The system automatically generates an outbound transportation plan based on the inventory situation in the temporary storage area and coordinates the transportation time with qualified medical waste treatment agencies.

[0066] b. Transport vehicle management: Transport vehicles are equipped with GPS positioning and RFID reading and writing equipment. Before departure, the driver uses the data collection terminal to confirm the waste information to be transported.

[0067] c. Transportation process monitoring: During the transportation process, the system tracks the vehicle location and transportation status in real time. If there is any deviation from the route, abnormal stop, etc., the system will automatically alarm.

[0068] Step 6: Final Disposal of Medical Waste

[0069] a. Arrival at the treatment site: After the medical waste arrives at the treatment agency, the treatment personnel use the data collection terminal to scan the RFID tag of the waste container to confirm receipt.

[0070] b. Processing process records: The treatment agency treats the waste in accordance with the prescribed treatment methods, such as high-temperature incineration and chemical disinfection. The system records detailed information such as treatment methods, treatment time, and treatment personnel.

[0071] c. Data storage on the chain: The data in the processing process is encrypted and stored using blockchain technology to ensure that the data cannot be tampered with and is traceable, providing a reliable data basis for regulatory authorities.

[0072] Step 7: Data analysis and report generation

[0073] a. Data aggregation: The system aggregates and analyzes data on the generation, collection, transportation, and treatment of medical waste.

[0074] b. Report generation: Generate various statistical reports based on management needs, such as waste generation trends, departmental waste classification statistics, treatment efficiency analysis, etc. Reports can be exported to PDF, Excel and other formats for easy archiving and sharing.

[0075] c. Decision support: Managers optimize waste management processes and formulate improvement measures based on data analysis results. For example, special training is provided to departments with large waste generation to promote waste reduction.

[0076] Step 8: System maintenance and upgrade

[0077] a. Online upgrade: The system supports online upgrade and remote maintenance. Updates are pushed through the cloud to ensure timely improvement of system functions and security.

[0078] b. Modular expansion: Dynamically add or update functional modules according to the needs of medical institutions. For example, add waste classification management module, environmental monitoring module, etc.

[0079] c. Multi-language support: The system supports multi-language environment. Users can choose the operating language according to their preferences, which is convenient for staff with different language backgrounds to use.

[0080] Step 9: Security and Fault Tolerance Mechanism

[0081] a. Data security: The system uses advanced encryption standards and secure socket layer protocols to prevent data from being illegally accessed and tampered with during transmission and storage.

[0082] b. Permission management: A role-based access control model is used to manage user operation permissions in a refined manner to ensure data confidentiality and integrity.

[0083] c. Fault-tolerant mechanism: The server cluster adopts load balancing and automatic expansion strategies, and has fault-tolerant and redundancy mechanisms. When a device fails, the system can automatically switch to the backup device to ensure business continuity.

[0084] Step 10: Equipment monitoring and fault warning

[0085] a. Real-time monitoring: Real-time monitoring of key equipment such as data acquisition terminals and servers, and collection of equipment operating status data.

[0086] b. Fault prediction: Use the grey prediction model to analyze and predict the operating status of the equipment. The prediction formula is:

[0087]

[0088] in, is the predicted value at the k+1th moment, X(1) is the initial value, and a and b are model parameters.

[0089] c. Early warning notification: When the prediction results show that the equipment may fail, the system automatically sends an early warning notification to the maintenance personnel to arrange maintenance to prevent data collection interruption or data loss due to equipment failure.

[0090] Step 11: System Integration and Expansion

[0091] a. Data interface: The system provides a standardized data interface to support data interaction with other medical information systems such as hospital information systems and laboratory information management systems.

[0092] b. Third-party collaboration: Support system connection with waste treatment agencies and regulatory authorities to achieve information sharing and business collaboration.

[0093] c. Function expansion: Update system functions in a timely manner according to policy changes and technological developments. For example, add a management module for new medical waste, integrate artificial intelligence technology to improve data analysis capabilities, etc.

[0094] Step 12: Training and support

[0095] a. User training: Provide targeted training for users in different positions to ensure that they are proficient in using the system.

[0096] b. Technical support: Provide 7×24 hours technical support services to promptly solve problems encountered by users during use.

[0097] c. Feedback mechanism: Establish user feedback channels, collect opinions and suggestions, and continuously improve and optimize system functions.

[0098] Through the above-mentioned use method, the medical waste full-process tracking and management system of the present invention achieves the following goals:

[0099] Comprehensive tracking: Accurately track the entire process of medical waste from generation to treatment to ensure that every link is traceable.

[0100] Data accuracy: Use data verification and error correction models to ensure data integrity and accuracy and reduce human errors.

[0101] Efficient management: Use advanced technical means to improve the efficiency of medical waste management and reduce resource waste.

[0102] Safe and reliable: Multiple security mechanisms are used to protect data security and ensure high availability of the system.

[0103] Scalability: The system design has good scalability and compatibility, and can adapt to the development of medical institutions and technological updates.

[0104] Decision support: Provides rich data analysis and reporting functions to assist managers in making scientific decisions and improving management levels.

[0105] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A full-process tracking and management system for medical waste, characterized in that: include: Hardware module: including RFID tags for medical waste identification, data collection terminals, communication network equipment and servers; Software modules: including software programs for data acquisition, transmission, storage and processing; Data model: used to store the whole process information of medical waste in the generation, collection, transportation, treatment and other links, using the relational database model, meeting the first normal form, the second normal form and the third normal form to ensure the consistency and integrity of the data; Data verification model: A cyclic redundancy check algorithm is used to ensure the integrity of data transmission. The calculation formula is: CRC=(D(x)×x n )modG(x); Where D(x) is the data polynomial, G(x) is the generator polynomial, and n is the highest power of the generator polynomial; Error correction model: The Hamming code error correction algorithm is used to detect and correct single-bit errors in data, satisfying the following conditions: 2 r ≥m+r+1； Among them, m is the number of data bits, r is the number of check bits; Equipment failure prediction model: The gray prediction model GM (1,1) is used to predict the equipment operation status. The prediction formula is: in, is the predicted value at the k+1th moment, X (0) (1) is the initial value, a and b are model parameters, and e is the base of the natural logarithm.

2. A medical waste full-process tracking and management system according to claim 1, characterized in that: The RFID tag has a unique identification code and supports an encryption algorithm to ensure the security and uniqueness of medical waste information.

3. A medical waste full-process tracking and management system according to claim 1, characterized in that: The data collection terminal includes a handheld scanning device and a mobile terminal application, supports barcode and QR code scanning, simplifies the operation process, and the communication network device supports wired, wireless and cellular network communications to ensure the stability and reliability of data transmission.

4. A medical waste full-process tracking and management system according to claim 1, characterized in that: The server adopts a cloud computing architecture, supports distributed deployment and elastic expansion, and improves the scalability of the system. The software module adopts a modular design, supports dynamic addition and update of functional modules, and improves the compatibility and maintainability of the system.

5. The full-process tracking and management system for medical waste according to claim 1 is characterized by: The data model adopts a standardized data format and interface protocol, supports data interaction with other medical information systems, and the medical waste full-process tracking and management system provides a user-friendly operation interface, supports personalized customization and authority management, and reduces the difficulty of learning and using for users.

6. A medical waste full-process tracking and management system according to claim 1, characterized in that: The medical waste full-process tracking and management system supports a multi-language environment, facilitates operation by users with different language backgrounds, and improves the versatility of the system. The medical waste full-process tracking and management system has a fault-tolerant and redundant mechanism, supports hot backup and automatic fault switching, and ensures the high availability of the system.

7. A medical waste full-process tracking and management system according to claim 1, characterized in that: The medical waste full-process tracking and management system adopts blockchain technology to encrypt and store data on the medical waste treatment process to ensure that the data cannot be tampered with and is traceable. The medical waste full-process tracking and management system supports online upgrades and remote maintenance to meet the needs of medical institution expansion and technological updates.

8. The full-process tracking and management system for medical waste according to claim 1 is characterized by: The medical waste full-process tracking and management system integrates data analysis and report generation functions to optimize medical waste management and provide decision support. The medical waste full-process tracking and management system adopts encryption algorithms and security protocols to prevent data from being illegally accessed and tampered with during transmission and storage, thereby ensuring information security.

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