Operating room medical instrument validity period monitoring and early warning system

Abstract

The invention discloses an operating room medical instrument validity period monitoring and early warning system. The system comprises a data acquisition module, an intelligent analysis engine, a dynamic early warning module and a feedback control unit. The system obtains environmental parameters and use states of instruments in real time through an RFID tag and a sensor network, dynamically evaluates the validity period of the instruments based on an improved time decay algorithm, and realizes intelligent management in combination with a multi-dimensional early warning mechanism and closed-loop feedback control. And meanwhile, the non-tampering and traceability of the data are guaranteed by adopting a block chain technology. The safety and efficiency of the operating room can be remarkably improved, and an efficient and accurate instrument management solution is provided for the modern medical field.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device management, and in particular to an operating room medical device validity period monitoring and early warning system. Background Art

[0002] With the continuous advancement of medical technology, the expiration date management of medical devices in the operating room is becoming increasingly important in ensuring patient safety and improving surgical efficiency. However, existing medical device expiration date monitoring systems still lack comprehensive functionality, real-time capabilities, and intelligence, making them unable to meet the demands of modern operating rooms for efficient and precise management.

[0003] A search revealed an intelligent monitoring system for medical consumables for clinical surgery, with publication number CN108806787B. This system, through modules such as a consumables information storage unit, a surgical information storage unit, and a computation unit, monitors the inventory and expiration dates of surgical consumables, and alerts medical staff to purchase them promptly when the difference between the consumables' reservation date and the expiration date is less than a predetermined value. However, this technical solution primarily focuses on consumables inventory management and fails to fully incorporate the actual operating room usage scenarios. It lacks the ability to monitor medical devices in real time, from storage to use. Furthermore, its early warning mechanism is relatively simple, providing only reminders based on procurement needs and failing to provide immediate intervention for devices that are about to expire or have already expired during surgery. Furthermore, a cache management method, device, electronic device, and computer-readable storage medium, with publication number CN113253922B, while providing a cache data management method based on expiration date information and capable of deleting expired data based on expiration date information to improve system efficiency, its application scenario is primarily focused on cache data processing in the computer field, significantly different from the actual management needs of medical devices in the operating room. This solution fails to consider the specific characteristics of medical devices, such as real-time monitoring of high-risk devices, multi-dimensional early warning (such as audible and visual alarms), and deep integration with surgical procedures, making it difficult to directly apply to the operating room environment. These issues demonstrate that existing technical solutions for monitoring the expiration date of medical devices suffer from functional limitations, insufficient real-time performance, and poor adaptability to specific scenarios.

[0004] Therefore, there is an urgent need for an operating room medical device validity monitoring and early warning system that can achieve full life cycle management from device warehousing, storage, use to disposal, and combine multi-dimensional early warning mechanisms and intelligent analysis methods to improve the safety and efficiency of operating room medical device management, thereby better meeting the needs of modern medical field for precise and intelligent management. Summary of the Invention

[0005] The purpose of this invention is to provide an operating room medical device validity period monitoring and early warning system, which can realize intelligent management of the entire life cycle of the equipment from storage to disposal, and significantly improve the safety and efficiency of the operating room through multi-dimensional dynamic early warning and real-time intervention mechanisms.

[0006] To achieve the above object, the present invention is implemented according to the following technical solutions:

[0007] The system includes a data acquisition module, an intelligent analysis engine, a dynamic warning module, and a feedback control unit. The data acquisition module uses RFID tags and sensor networks to obtain real-time information about the storage environment parameters (such as temperature and humidity) and usage status of medical devices. The intelligent analysis engine dynamically evaluates the expiration date of the device based on an improved time decay algorithm. The formula is:

[0008]

[0009] Where T eff Indicates the remaining effective time, T max is the initial validity period, k(T, H) is the attenuation coefficient related to the ambient temperature T and humidity H, λ is the time decay constant, and t is the current time. The algorithm can dynamically adjust the validity period assessment results of the instrument according to environmental changes; the dynamic warning module uses sound and light alarms, mobile terminal push notifications, and embedded reminders during the surgical process to immediately intervene in instruments that are about to expire or have expired during the surgical process; the feedback control unit automatically adjusts the storage environment parameters through a closed-loop mechanism to ensure that the instrument is in optimal storage conditions. In addition, the system also introduces a distributed data storage architecture based on blockchain to ensure the immutability and traceability of data throughout the entire life cycle of the instrument.

[0010] The present invention provides a monitoring and early warning system for the expiration date of medical devices in operating rooms. Compared to existing technologies, this system utilizes an improved time decay algorithm to achieve accurate dynamic assessment of device expiration dates. Combined with a multi-dimensional early warning mechanism and closed-loop feedback control, it significantly enhances the intelligence and safety of operating room medical device management. Furthermore, the blockchain-based data storage architecture further enhances the system's reliability and transparency, providing an efficient and accurate management solution for the modern medical field. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a structural block diagram of the system of the present invention. DETAILED DESCRIPTION

[0012] The present invention will be further described below with reference to the accompanying drawings and specific embodiments. The exemplary embodiments and descriptions of the present invention are used to explain the present invention but are not intended to limit the present invention.

[0013] like Figure 1 As shown: Figure 1 The overall system architecture is presented, comprising four core components: a data acquisition module, an intelligent analysis engine, a dynamic warning module, and a feedback control unit. These components form a closed-loop intelligent management system through information flow. The following describes the system's implementation process, including its hardware components, operating principles, algorithm implementation, and application scenarios.

[0014] One of the core components of the system is the data acquisition module, which primarily consists of RFID tags, a sensor network, and a data transmission interface. In practice, each medical device entering the operating room is assigned an RFID tag with a unique identification code. These tags not only record basic device information, such as static data like production date and initial expiration date, but also provide real-time updates of dynamic parameters related to the device's storage environment. A sensor network is deployed in the medical device storage area, such as the operating room's sterile cabinet or refrigeration unit, to monitor changes in ambient temperature and humidity. Sensor nodes collect environmental data at regular intervals and upload this information to a central database via wireless communication protocols. The data acquisition module also includes a condition monitoring unit that records device usage frequency and operational records, such as whether a device has been unsealed or undergone high-temperature sterilization. This multi-dimensional data provides a reliable foundation for subsequent intelligent analysis.

[0015] The intelligent analysis engine is the core computing unit of the entire system. Its main function is to conduct comprehensive analysis of the collected data and dynamically evaluate the validity period of each medical device.

[0016]

[0017] The intelligent analysis engine can accurately calculate the remaining effective time of each instrument. In this formula, T max The initial shelf life of the device is usually provided by the manufacturer. k(T, H) is an attenuation coefficient that is closely related to the ambient temperature T and humidity H. Its value will be dynamically adjusted as the storage conditions change. For example, when the ambient temperature exceeds the recommended range, the attenuation coefficient will increase significantly, thereby accelerating the expiration of the shelf life. -λt w introduces the time decay constant λ to simulate the natural aging characteristics of the device over time. In the actual operation process, the intelligent analysis engine first obtains the current time t and historical environmental parameter records from the data acquisition module, and then substitutes them into the formula for integral calculation to obtain T effThis represents the remaining useful life of the device. To improve computing efficiency, the system uses a distributed computing architecture to split large-scale data processing tasks across multiple computing nodes. Machine learning algorithms are also used to optimize the attenuation coefficient k(T, H) to more accurately reflect the aging patterns of different devices in specific environments.

[0018] The dynamic early warning module is responsible for converting the intelligent analysis engine's calculation results into specific early warning signals and implementing immediate intervention for instruments that are about to expire or have already expired. This module includes a mobile push system for audio and visual alarm devices and an embedded reminder function for surgical procedures. In actual application, when the remaining useful life of a certain instrument falls below a preset threshold, such as 24 hours, the system automatically triggers the audio and visual alarm device to issue a clear warning signal to alert medical staff. At the same time, the dynamic early warning module also pushes relevant information to medical staff's mobile devices, such as smartphones or tablets, via the hospital's internal wireless network, ensuring that they can receive early warning information in a timely manner regardless of location. For ongoing surgical procedures, the system embeds real-time reminders in the surgical plan interface, such as marking instruments that are about to expire in the surgical instrument list and suggesting replacement options. This multi-dimensional early warning mechanism not only improves the efficiency of information transmission but also helps avoid medical accidents caused by expired instruments at critical moments.

[0019] The feedback control unit is a crucial component of the system. Its role is to automatically adjust the storage environment parameters of medical devices through a closed-loop mechanism to extend their shelf life and ensure optimal storage conditions. The feedback control unit receives environmental parameter assessments from the intelligent analysis engine and sends control instructions to the storage device based on the actual situation. For example, if sensors detect that the temperature inside a sterile cabinet has risen to a level unsuitable for device storage, the feedback control unit automatically activates the refrigeration system to lower the cabinet temperature. Similarly, if humidity exceeds a safe range, the system activates the dehumidification function to maintain a suitable storage environment. Furthermore, the feedback control unit has adaptive adjustment capabilities, dynamically adjusting the setpoints for environmental parameters based on the type and quantity of devices. For example, for biomaterials requiring low-temperature storage, the system sets the storage temperature to a lower level, while maintaining the temperature within the normal range for standard metal devices. This closed-loop control mechanism minimizes the impact of environmental factors on the shelf life of devices.

[0020] To ensure the immutability and traceability of device data throughout its entire lifecycle, the system incorporates a distributed data storage architecture based on blockchain. In practice, every operational record for each device, from storage to disposal, is encrypted and stored on the blockchain network, forming a complete timeline. This data includes the device's production information, procurement records, storage environment parameters, usage history, and final disposal. Due to the decentralized nature and consensus mechanism of blockchain technology, any data tampering requires the approval of a majority of nodes in the network, making it virtually impossible. Furthermore, the system incorporates a permissions management mechanism that ensures data security by limiting access to specific data content to authorized users. In practice, hospital administrators can use a dedicated query interface to view the historical records of any device and generate detailed reports for quality traceability or auditing purposes.

[0021] The operation process of this system in actual scenarios can be divided into the following stages. The first is the equipment storage stage. At this time, the data acquisition module will initialize and record each newly stored equipment, including scanning the RFID tag, entering basic information, binding the sensor node, etc. The equipment then enters the daily storage stage. The sensor network continuously monitors environmental parameters and uploads the data to the central database. The intelligent analysis engine dynamically evaluates the validity period of the equipment based on the time decay algorithm. When the equipment is called to participate in the operation, the system will automatically record its usage status and update the relevant information after the operation. If the remaining effective time of a certain equipment approaches the critical value, the dynamic early warning module will immediately activate the multi-dimensional early warning mechanism to remind relevant personnel to take measures. Finally, when the equipment reaches the scrap standard, the system will mark it as unusable and generate a complete life cycle report and store it in the blockchain network.

[0022] In summary, this invention achieves intelligent management of the entire lifecycle of operating room medical devices through the collaborative work of a data acquisition module, an intelligent analysis engine, a dynamic early warning module, and a feedback control unit. This system not only accurately assesses the expiration date of devices but also significantly improves operating room safety and efficiency through a multi-dimensional early warning mechanism and closed-loop feedback control. Furthermore, the blockchain-based data storage architecture further enhances the system's reliability and transparency, providing efficient and accurate management solutions for the modern medical field.

[0023] The technical solution of the present invention is not limited to the above-mentioned specific embodiments. Any technical variations made according to the technical solution of the present invention fall within the protection scope of the present invention.

Claims

1. An operating room medical equipment validity monitoring and early warning system, characterized by The system comprises a data acquisition module (1), an intelligent analysis engine (2), a dynamic warning module (3) and a feedback control unit (4). The data acquisition module (1) acquires the storage environment parameters and usage status information of the medical device in real time through RFID tags and sensor networks. The intelligent analysis engine (2) dynamically evaluates the validity period of the device based on a time decay algorithm. The dynamic warning module (3) performs immediate intervention through sound and light alarms, mobile terminal push and surgical process embedded reminders. The feedback control unit (4) automatically adjusts the storage environment parameters through a closed-loop mechanism.

2. The operating room medical device validity period monitoring and early warning system according to claim 1 is characterized by: The data acquisition module (1) includes an RFID tag, a sensor network and a data transmission interface. The RFID tag records basic information and dynamic parameters of the medical device, and the sensor network monitors changes in ambient temperature and humidity and uploads the data to a central database.

3. The operating room medical device validity monitoring and early warning system according to claim 1 is characterized by: The time decay algorithm formula used by the intelligent analysis engine (2) is: Where T eff Indicates the remaining effective time, T max is the initial validity period, k(T,H) is the attenuation coefficient related to the ambient temperature T and humidity H, λ is the time attenuation constant, and t is the current time.

4. The operating room medical device validity monitoring and early warning system according to claim 1 is characterized by: The dynamic warning module (3) includes an audible and visual alarm device, a mobile terminal push system, and an embedded reminder function for the surgical process, and triggers a warning signal when the remaining effective time of the medical device is lower than a preset threshold.

5. The operating room medical equipment validity period monitoring and early warning system according to claim 1 is characterized by: The feedback control unit (4) receives the environmental parameter evaluation results of the intelligent analysis engine (2) and sends a control instruction to the storage device to adjust the environmental temperature and humidity.

6. The operating room medical equipment validity period monitoring and early warning system according to claim 1 is characterized by: The system introduces a distributed data storage architecture based on blockchain to store data on the entire life cycle of medical devices from storage to disposal and ensure the data is tamper-proof and traceable.

7. The operating room medical device validity monitoring and early warning system according to claim 2, characterized in that: The data acquisition module (1) also includes a status monitoring unit for recording the usage frequency and operation records of the medical device.

8. The operating room medical equipment validity period monitoring and early warning system according to claim 2 is characterized by: The intelligent analysis engine (2) uses a distributed computing architecture to process large-scale data and optimizes the attenuation coefficient k(T, H) through a machine learning algorithm to improve calculation accuracy.

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