Intelligent medical health management system

Abstract

The application relates to the technical field of medical equipment upgrade management, and discloses a smart medical health management system, which comprises a treatment acquisition module, which is used for acquiring relevant outpatient departments using a specified medical equipment when receiving an upgrade push of the medical equipment, and acquiring the total number of the next-day appointment treatment numbers of all the relevant outpatient departments using the medical equipment; and a data analysis module, which is used for setting the use and consumption time length of different equipment, acquiring the total number of the medical equipment needing to be upgraded, and obtaining the total number of people who can use the medical equipment every day. Through comparison of the appointment treatment number and the equipment available number, the system can reasonably arrange the equipment upgrade. If the predicted use number is small, the system will execute the upgrade instruction; otherwise, the upgrade is delayed, so that the patient treatment is not affected during the equipment use peak period. Through intelligent management and flexible strategy, the balance between the medical equipment upgrade and the patient treatment demand is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical equipment upgrade management, in particular to a smart medical health management system. BACKGROUND

[0002] The smart medical health management system is a system that uses modern information technology, especially internet, big data, artificial intelligence and other technical means, to comprehensively collect, analyze and manage health data. In the context of the smart medical health management system, the upgrade and management of medical equipment is a key field, and regular equipment upgrades are an important means to ensure the quality and efficiency of medical services.

[0003] With the progress of science and technology, medical equipment is becoming increasingly intelligent, interconnected and data-driven. How to effectively manage and upgrade these devices has become an important challenge for medical institutions. However, when hospitals upgrade medical equipment, the upgrade process may require the equipment to be shut down, resulting in interruptions in clinical work. After the equipment is upgraded, it may take time to debug and test before it can be used normally, so the equipment upgrade and debugging time often takes an entire workday, affecting patient medical services. SUMMARY

[0004] To address the problems of the prior art, the present application aims to provide a smart medical health management system that can dynamically adjust the equipment upgrade behavior when the hospital's medical equipment is upgraded, according to the different needs of daily clinic patients for medical equipment, thereby reducing the impact of equipment upgrade on patient medical services.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solution: a smart medical health management system, comprising:

[0006] A clinic acquisition module for acquiring related outpatient departments that will use the specified medical equipment and obtaining the total number of appointments for the next day for all related outpatient departments that will use the medical equipment when receiving an upgrade push for the specified medical equipment;

[0007] A data analysis module for setting the usage and consumption time for different devices and obtaining the total number of medical equipment that needs to be upgraded to obtain the total number of people who can use the medical equipment every day;

[0008] A dynamic adjustment module for obtaining the estimated number of users based on the total number of appointments for the next day for the related outpatient departments, and comparing the total number of medical equipment that needs to be upgraded with the estimated number of users, and making appropriate responses based on the comparison results;

[0009] An upgrade control module is configured to obtain a number of spare uses by subtracting the predicted number of uses from the total number of uses of the medical devices to be upgraded, and obtain the number of upgraded devices by dividing the number of spare uses by the total number of the medical devices to be upgraded, so that the system upgrades a corresponding number of medical devices in the next day according to the number of upgraded devices.

[0010] In some embodiments, the total number of uses of the medical devices to be upgraded is obtained by multiplying the total number of the medical devices to be upgraded by the number of uses per device per day, which is obtained by dividing the total number of uses per day by the use duration of each device.

[0011] In some embodiments, the predicted number of uses is obtained by multiplying the total number of appointments in the next day by a proportion factor k, and then adding the total number of appointments in the next day to the total number of visits in the current day.

[0012] In some embodiments, the system does not perform the upgrade operation if the predicted number of uses in the next day is greater than or equal to the total number of uses of the medical devices to be upgraded, and performs the upgrade instruction if the predicted number of uses in the next day is less than the total number of uses of the medical devices to be upgraded, which indicates that there is an excess of the medical devices.

[0013] In some embodiments, the difference between the total number of uses of the medical devices to be upgraded and the predicted number of uses is the number of spare uses of the medical devices in the next day, and the number of upgraded devices is obtained by dividing the number of spare uses by the total number of the medical devices to be upgraded.

[0014] In some embodiments, an upgrade deadline threshold is set, and the system records the number of days since the medical devices to be upgraded received the upgrade push but have not been upgraded. If the number of days since the medical devices to be upgraded received the upgrade push but have not been upgraded exceeds the upgrade deadline threshold, the system upgrades all the medical devices to be upgraded in the next day and pushes upgrade notifications to the relevant outpatient departments and the management center of the hospital.

[0015] In some embodiments, a pre-upgrade deadline threshold is set, which is smaller than the upgrade deadline threshold, so that the number of days since the medical devices to be upgraded have not been upgraded is compared with the pre-upgrade deadline threshold first, and a corresponding response is made according to the comparison result.

[0016] In some embodiments, the specific response made according to the comparison result of the number of days since the medical device was not upgraded and the pre-upgrade deadline threshold is that when the system receives the upgrade push but the number of days since the medical device was not upgraded does not exceed the pre-upgrade deadline threshold, the system does not respond; if the number of days exceeds the pre-upgrade deadline threshold, the system obtains the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded, and if the ratio exceeds 0.5, the system does not respond; if the ratio is less than or equal to 0.5, the system executes the stage upgrade strategy.

[0017] In some embodiments, the stage upgrade strategy includes: if the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded is greater than 0.25 and less than or equal to 0.5, the system adjusts the dynamic adjustment module to replace the total number of daily visits with the total number of minimum daily visits on the same day, specifically, the minimum total number of scheduled visits Jz is obtained by combining the total number of scheduled visits Js on the next day with a adjustable proportion factor n less than 1, so as to improve the sensitivity of the system in executing the upgrade instruction by a small amount.

[0018] If the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded is greater than 0 and less than or equal to 0.25, the system adjusts the dynamic adjustment module to replace the expected number of users with a comparison between the total number of scheduled visits on the next day and the total number of daily available users of the medical devices that need to be upgraded, so as to effectively improve the sensitivity of the system in executing the upgrade instruction.

[0019] If the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded is 0, the system no longer executes the logic of the previous upgrade instruction, but instead subtracts the pre-upgrade deadline threshold from the upgrade deadline threshold to obtain an upgrade deadline difference, and divides the total number of medical devices that need to be upgraded by the upgrade deadline difference to obtain the number of daily upgrade devices, so that the medical devices that need to be upgraded are sequentially upgraded by the number of devices each day when the number of days since the medical devices were not upgraded reaches the number of days specified by the pre-upgrade deadline threshold.

[0020] The application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above-mentioned intelligent medical health management system.

[0021] Compared with the prior art, the technical solution provided by the application has the following beneficial effects:

[0022] Firstly, the system can reasonably arrange the equipment upgrade by comparing the number of pre-appointment patients and the number of available devices. If the number of expected users is small, the system will execute the upgrade instruction, otherwise it will delay the upgrade, ensuring that the patient's treatment is not affected during the peak period of device use. Through intelligent management and flexible strategies, the balance between medical device upgrade and patient treatment demand is achieved.

[0023] Secondly, the system uses the upgrade deadline threshold and the pre-upgrade deadline threshold as a double protection mechanism. If the device has not been upgraded before the upgrade deadline threshold, the system will force the upgrade to ensure timely updating of the device. The pre-upgrade deadline threshold is used for early warning, and different phased upgrade strategies are adopted according to the proportion of upgraded devices, further reducing the risk of upgrade. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 Fig. 1 is a flowchart of a smart medical health management system according to the present application;

[0025] Figure 2 Fig. 2 is a module diagram of a smart medical health management system according to the present application. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0027] It should be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of one element can be one, and in another embodiment, the number of the element can be multiple, and the term "one" cannot be understood as a limitation on the number.

[0028] The present application provides a smart medical health management system, as shown in Figure 1 and Figure 2 , including a treatment acquisition module, a data analysis module, a dynamic adjustment module and an upgrade control module.

[0029] The treatment acquisition module includes a system that receives upgrade push information from an interface. The push contains basic information such as the unique identification of the device, the device name, and the upgrade version. When receiving the upgrade push of a specified medical device, the relevant outpatient departments that use this kind of medical device will be acquired, and the total number of pre-appointment patients of all relevant outpatient departments that use this kind of medical device in the next day will be acquired.

[0030] The data analysis module includes setting a use consumption time length for different managed devices, the use consumption time length is set according to the average use time of each medical device actually used once, and the total number of medical devices that need to be upgraded is obtained, and the total number of people that can use the medical device per day is obtained. In order to obtain the total number of people that can use the medical device per day that needs to be upgraded in the hospital, the number of times each device can be used per day needs to be calculated first, and the number of times each device can be used per day Cs is obtained by combining the preset daily use time Sy with the use consumption time length Sx, and then the total number of people that can use the medical device per day Rs is obtained by combining the number of times each device can be used per day Cs with the total number of medical devices that need to be upgraded Zs, the daily use time represents the total time that the hospital can use the medical device per day, for example, it is set that the medical device that needs to be upgraded is configured with 10 in the hospital, the use consumption time length of the medical device is 15 minutes each time, and the total time that the medical device can be used per day is 10 hours. After converting 10 hours into 600 minutes, the number of times each device can be used per day is 600÷15=40, and the total number of people that can use the medical device per day is 10×40=400.

[0031] The dynamic adjustment module includes obtaining the predicted use number according to the total number of appointments of the related outpatient department on the next day, and then comparing the total number of people that can use the medical device per day with the predicted use number of the related outpatient department on the next day, and making corresponding response according to the comparison result. Specifically, the total number of people that can use the medical device per day needs to be obtained first by combining the total number of appointments of the related outpatient department on the next day Js with the proportion factor k, wherein k represents the proportion factor. The significance of the proportion factor k is that because the total number of appointments is obtained by the registration system, it represents the number of patients who have made an appointment for the next day, however, in addition to the patients who have made an appointment, there may also be patients who directly come to the hospital for registration and treatment on the same day, and this part of patients will also use the medical device that needs to be upgraded. By introducing the proportion factor k, the system can consider the number of patients who register on the same day, and thus more reasonably predict the total number of patients who will use the medical device. The proportion factor k can be adjusted according to historical data, for example, if the historical data shows that the proportion of patients who make an appointment and patients who register on the same day is maintained at 1:1.2, then k can be set to 1.2 to be closer to the actual situation. Then, the total number of appointments Js on the next day is combined with the total number of people that can use the medical device per day Ds to obtain the predicted use number Ys=Js+Ds.

[0032] After obtaining the predicted number of users, the specific response made according to the comparison result of the size of the predicted number of users with the total number of daily users of the medical equipment to be upgraded is: if the predicted number of users of the next day is greater than or equal to the total number of daily users of the medical equipment to be upgraded, it means that the number of patients expected to be treated in the next day is large, and the medical equipment in the hospital will be saturated, so the system does not perform the upgrade operation; if the predicted number of users of the next day is less than the total number of daily users of the medical equipment to be upgraded, the equipment is in surplus, which means that the patients expected to be treated in the next day will not use all the medical equipment, so the system executes the upgrade instruction;

[0033] The upgrade control module includes obtaining the spare usage times by subtracting the predicted number of users from the total number of daily users of the medical equipment to be upgraded. Since each medical device is calculated based on one person using it once, the difference between the total number of daily users of the medical equipment to be upgraded and the predicted number of users is the spare usage times of the medical equipment in the next day. Then, the number of upgraded devices Eu = Ks ÷ Zs is obtained by the spare usage times Ks and the total number of the medical equipment Zs, and the result is rounded up. The system will upgrade the corresponding number of medical devices according to the result of the number of upgraded devices in the next day;

[0034] In general, the processing method for receiving the upgrade push of the medical equipment mainly includes four steps. First, the total number of patients expected to be treated in the next day is obtained for the outpatient department using the medical equipment. According to the total number of patients and the proportion of historical appointments and patients registered for treatment on the same day, the predicted number of users of the medical equipment to be upgraded in the next day can be obtained. Then, the system obtains the total number of daily users of the medical equipment in the hospital by the usage time of the medical equipment. When the predicted number of users of the medical equipment to be upgraded in the next day is less than the total number of daily users of the medical equipment, the system will execute the upgrade instruction. Finally, the upgrade instruction will reasonably allocate the number of upgraded devices in the next day according to the specific spare usage times. By obtaining the number of patients expected to be treated in the next day and combining historical data, the system can more accurately predict the predicted number of users of the medical equipment in the next day. This data-based prediction enables the hospital to reasonably arrange the use and upgrade of medical equipment.

[0035] And in addition, if the system receives a push to upgrade the medical equipment, and the number of patients who need to use the medical equipment in the hospital is in a saturated state within a certain period of time, the medical equipment cannot be upgraded all the time. Regular upgrading of equipment is an important means to ensure the quality and efficiency of medical services, and many countries and regions have strict regulations on the effectiveness of medical equipment. Regular maintenance and maintenance of equipment are also part of compliance. Therefore, a threshold for the upgrade period needs to be set. After the system receives the upgrade push of the medical equipment, it records the number of days the medical equipment needs to be upgraded after receiving the upgrade push but has not been upgraded. If the number of days after receiving the upgrade push but not being upgraded exceeds the upgrade period threshold, it means that the period of non-upgrade of the equipment has reached the limit. At this time, the system will upgrade all the non-upgraded equipment the next day and push upgrade notifications to the relevant outpatient departments and management centers of the hospital.

[0036] However, if the system receives a push to upgrade the medical equipment, and all the equipment has not been upgraded before the upgrade period threshold, when the number of days not upgraded exceeds the upgrade period threshold, it will cause all the medical equipment in the hospital to stop using and be upgraded and maintained the next day. But this is obviously a problem: first, it will cause all the medical equipment in the hospital to stop using, which will cause the diagnosis of the relevant outpatient departments to be paralyzed, and second, after all the equipment stops using, the engineers who upgrade and maintain the test equipment will face a large amount of upgrade and debugging work in a short period of time, which may cause the upgrade and debugging of all the equipment to be delayed, thereby further prolonging the downtime of the equipment. Therefore, a pre-upgrade period threshold is set, which should be less than the upgrade period threshold. The number of days the medical equipment is not upgraded after the system receives the upgrade push will be compared with the pre-upgrade period threshold first. When the number of days the medical equipment is not upgraded after receiving the upgrade push exceeds the pre-upgrade period threshold, the ratio of the number of upgraded medical equipment to the total number of medical equipment that needs to be upgraded is obtained. If the ratio exceeds 0.5 (half), it means that more than half of the medical equipment that needs to be upgraded has been upgraded within the number of days specified by the pre-upgrade period threshold after the upgrade push. Therefore, even if the number of days reaches the upgrade period threshold, causing the non-upgraded equipment to be upgraded at the same time, at least half of the upgraded equipment is available for patients to use, and the system does not react. If the ratio is less than or equal to 0.5 (half), it means that most of the medical equipment has not been upgraded within the number of days specified by the pre-upgrade period threshold after the upgrade push, and there is a risk of simultaneous downtime of most of the medical equipment for upgrading. Therefore, the system executes the phased upgrade strategy.

[0037] The stage upgrading strategy is specifically: if the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded is greater than 0.25 and less than or equal to 0.5, it indicates that there are fewer medical devices that have been upgraded, and the system will adjust the dynamic adjustment module, replacing the total number of patients visiting on the day with the total number of the lowest number of patients visiting on the day, specifically combining the total number of patients visiting the next day with the adjustable proportion factor n less than 1 to obtain the total number of the lowest number of patients visiting Jz = Js x n, thereby reducing the value of the subsequent estimated number of users, and slightly improving the sensitivity of the system in executing the upgrading instruction. The reason for this is that during actual appointment visits, there will be patients who make appointments in advance but do not go to the hospital on the day of the visit, so the number of patients who are estimated not to come for a visit can be reflected by combining the adjustable proportion factor n, which can be determined by analyzing the actual situation of appointment visits not being made in the past period of time; if the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded is greater than 0 and less than or equal to 0.25, it indicates that there are very few medical devices that have been upgraded, and the system will adjust the dynamic adjustment module, replacing the estimated number of users with the total number of patients visiting by appointment the next day and comparing it with the total number of medical devices that can be used daily, that is, the system will only determine whether to execute the upgrading instruction based on the comparison result of the number of patients visiting by appointment and the total number of medical devices that can be used daily, without considering patients who make appointments to visit the hospital on the day, which effectively improves the sensitivity of the system in executing the upgrading instruction. Although the patients visiting the next day may experience an increase in the waiting time for using the devices, there are still devices that can be used, and a balance is found between device upgrading and use; if the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded is 0, it indicates that by the end of the pre-upgrading deadline threshold days, no medical device has executed the upgrading instruction, and the upgrading time of the medical devices that need to be upgraded in the hospital has been seriously delayed, so the system no longer executes the previous upgrading instruction logic, but instead subtracts the pre-upgrading deadline threshold from the upgrading deadline threshold to obtain an upgrading deadline difference, and divides the total number of medical devices that need to be upgraded by the upgrading deadline difference to obtain the number of devices that need to be upgraded daily. The system will upgrade the devices in the hospital based on the number of devices that need to be upgraded daily in the future, so that the medical devices that need to be upgraded will be upgraded in an orderly manner according to the number of devices each day when the number of devices that have not been upgraded reaches the pre-upgrading deadline threshold days, without considering the number of patients visiting daily, ensuring that all medical devices that need to be upgraded are upgraded by the time the upgrading deadline threshold days are reached, and also ensuring that there are medical devices available for use by patients for diagnosis during the upgrading process.

[0038] In summary, the present application aims to design a smart medical health management system, which is aimed at the problem of hospital medical equipment upgrade resulting in mid-operation delay and medical diagnosis work delay. The present application cleverly balances medical equipment upgrade and patient treatment demand through the smart medical health management system, avoiding the predicament of service interruption due to upgrade. The system realizes intelligent management through four core modules, namely, the treatment acquisition module, the data analysis module, the dynamic adjustment module and the upgrade control module. First, the treatment acquisition module collects the number of next-day appointments in related departments, and combines the appointment-to-day registration ratio in historical data to accurately predict equipment usage demand. The data analysis module calculates the total number of daily available users according to the usage duration of the equipment and the number of equipment configured by the hospital, providing key data for subsequent comparison and decision-making. The dynamic adjustment module is the core decision-making part of the system. It compares the predicted equipment usage number with the total number of daily available users. If the predicted usage number is small, the system will execute the upgrade instruction; otherwise, the upgrade will be postponed to ensure that patient treatment is not affected. The upgrade control module calculates the reasonable number of upgraded equipment according to the number of spare uses, and executes the upgrade operation. In addition, the system also introduces an upgrade deadline threshold and a pre-upgrade deadline threshold as a double protection mechanism. If the equipment has not been upgraded before the upgrade deadline threshold, the system will forcibly execute the upgrade to ensure timely updating of the equipment. The pre-upgrade deadline threshold is used for early warning, and different phased upgrade strategies are adopted according to the proportion of upgraded equipment, further reducing the upgrade risk. If the proportion of upgraded equipment is high, the system maintains the original strategy; if the proportion is low, the system will increase the sensitivity of the upgrade instruction to prioritize equipment upgrade progress. In extreme cases, if the pre-upgrade deadline has arrived and there is still no equipment upgrade, the system will start the mode of allocating upgrade tasks by quantity to ensure that all upgrades are completed before the final deadline, while ensuring that there are available equipment every day. By predicting the number of patients and dynamically adjusting the upgrade plan, the impact on patient treatment during the upgrade process is avoided. The system can upgrade equipment during the low treatment period, improving equipment utilization and avoiding resource waste. By ensuring that medical equipment is upgraded within a specified time, the system meets relevant regulatory requirements and ensures the effectiveness and safety of the equipment. Moreover, the multi-stage upgrade strategy and double threshold mechanism effectively reduce the risk of large-scale equipment downtime upgrade, ensuring the stability of medical services. Automatic upgrade management reduces human intervention and improves hospital management efficiency. In summary, the system realizes the best balance between medical equipment upgrade and patient treatment demand through intelligent management and flexible strategies, improving the quality and efficiency of medical services.

[0039] The processes described above with reference to the flowcharts can be implemented as computer software programs in accordance with embodiments of the present disclosure. Embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer readable medium, the computer program comprising program code for performing the methods illustrated by the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication section, and / or installed from a detachable medium. When the computer program is executed by a central processing unit, the above-described functions defined in the methods of the present application are performed. It should be noted that the computer readable medium of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, but not limited to, be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus or device. In the present application, the computer readable signal medium can include a data signal carried in a baseband or as a part of a carrier wave, in which a computer readable program code is carried. Such a propagated data signal can take many forms, including but not limited to, an electromagnetic signal, an optical signal or any suitable combination of the above. The computer readable signal medium can also be any computer readable medium that can send, propagate or transfer a program for use by or in connection with an instruction execution system, apparatus or device. The program code contained on the computer readable medium can be transmitted by any suitable medium, including but not limited to, wireless, wire, optical cable, RF or any suitable combination of the above.

[0040] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0041] Those skilled in the art should understand that the above description is only a specific embodiment of this application, but the protection scope of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the protection scope of this application.

Claims

1. A smart health management system, characterized in that, The application relates to a medical device upgrade system. The application comprises: a clinic acquisition module, which is used for acquiring relevant outpatient departments using a specified medical device when an upgrade push of the medical device is received, and acquiring a total number of the next-day appointment visits of all the relevant outpatient departments using the medical device; a data analysis module, which is used for setting a use consumption time length of different devices, acquiring a total number of medical devices needing upgrade, and obtaining a total number of daily available uses of the medical device; a dynamic adjustment module, which is used for obtaining a predicted use number according to the total number of the next-day appointment visits of the relevant outpatient departments, comparing the total number of daily available uses of the medical devices needing upgrade with the predicted use number, and making a corresponding response according to the comparison result; an upgrade control module, which is used for obtaining a spare use number by comparing the total number of daily available uses of the medical devices needing upgrade with the predicted use number when an upgrade instruction is executed, obtaining an upgrade device number by the spare use number, and upgrading a corresponding number of medical devices in the next day according to the upgrade device number; after the system receives the upgrade push of the device, the number of days from when the medical device needing upgrade receives the upgrade push to when the medical device does not perform upgrade is recorded, if the number of days from when the medical device receives the upgrade push to when the medical device does not perform upgrade exceeds an upgrade deadline threshold, the system will upgrade all the devices in the next day, and push an upgrade notice to all the relevant outpatient departments and the management center of the hospital; an upgrade deadline threshold is set, the upgrade deadline threshold should be smaller than the upgrade deadline threshold, so that the number of days from when the medical device does not perform upgrade to when the medical device receives the upgrade push is compared with the upgrade deadline threshold first, and a corresponding response is made according to the comparison result: if the number of days from when the medical device receives the upgrade push to when the medical device does not perform upgrade does not exceed the upgrade deadline threshold, the system does not make a response; if the number of days from when the medical device receives the upgrade push to when the medical device does not perform upgrade exceeds the upgrade deadline threshold, a ratio of the number of upgraded medical devices to the total number of medical devices needing upgrade is obtained, if the ratio exceeds 0.5, the system does not make a response; if the ratio is less than or equal to 0.5, the system executes a stage upgrade strategy; the stage upgrade strategy comprises: if the ratio of the number of upgraded medical devices to the total number of medical devices needing upgrade is greater than 0.25 and less than or equal to 0.5, the dynamic adjustment module is adjusted, the total number of daily visits is replaced by the total number of the lowest daily visits, specifically, the lowest total number of appointment visits Jz is obtained by combining the total number of next-day appointment visits Js with a adjustable proportion factor n less than 1, so that the sensitivity of the system in executing the upgrade instruction is improved in a small range; if the ratio of the number of upgraded medical devices to the total number of medical devices needing upgrade is greater than 0 and less than or equal to 0.25, the dynamic adjustment module is adjusted, the predicted use number is replaced by the total number of next-day appointment visits and the total number of daily available uses of the medical devices needing upgrade, so that the sensitivity of the system in executing the upgrade instruction is effectively improved. If the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded is 0, the system no longer executes the logic of the previous upgrade instruction, but instead subtracts the pre-upgrade deadline threshold from the upgrade deadline threshold to obtain an upgrade deadline difference, and divides the total number of medical devices that need to be upgraded by the upgrade deadline difference to obtain the number of devices upgraded per day. The system will upgrade the devices in the hospital according to the number of devices upgraded per day in each subsequent day, so that the medical devices that need to be upgraded will be upgraded in order according to the quantity every day when the number of days the devices have not been upgraded reaches the number of days specified by the pre-upgrade deadline threshold. 2.The smart health management system of claim 1, wherein, The specific way to obtain the total number of people who can use the medical devices that need to be upgraded per day is to obtain the number of times each device can be used per day Cs=Sy÷Sx by combining the pre-set daily usage time Sy with the usage consumption time Sx, and then combine the number of times each device can be used per day Cs with the total number of medical devices that need to be upgraded Zs to obtain the total number of people who can use the medical devices that need to be upgraded per day Rs=Cs×Zs. 3.The smart healthcare management system of claim 2, wherein, The specific way to obtain the predicted number of users is to obtain the total number of appointments for the next day Js, and then obtain the total number of users Ds=Js×k on the day by combining the total number of appointments for the next day Js with a proportion factor k, and then sum the total number of appointments for the next day Js and the total number of users Ds on the day to obtain the predicted number of users Ys=Js+Ds. 4.The smart health management system of claim 3, wherein, The specific reaction made by comparing the size of the predicted number of users with the total number of people who can use the medical devices that need to be upgraded per day is that if the predicted number of users for the next day is greater than or equal to the total number of people who can use the medical devices that need to be upgraded per day, the system does not perform the upgrade operation; if the predicted number of users for the next day is less than the total number of people who can use the medical devices that need to be upgraded per day, it means that there is a surplus of devices, and the system performs the upgrade instruction. 5.The smart health management system of claim 4, wherein, Since each medical device is calculated based on one use, the difference between the total number of people who can use the medical devices that need to be upgraded per day and the predicted number of users is the number of spare uses of that type of medical device in the next day, and then the number of spare uses Ks is combined with the total number of that type of medical device Zs to obtain the number of upgraded devices Eu=Ks÷Zs.

6. A computer readable storage medium characterized by, The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the intelligent medical health management system of any one of claims 1-5.

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