Intelligent medical health management system

Abstract

The invention relates to the technical field of medical equipment upgrading management, and discloses an intelligent medical health management system, which comprises a doctor-seeing acquisition module used for acquiring related outpatient departments using specified medical equipment when receiving upgrading push of the specified medical equipment, and sending the related outpatient departments to the medical equipment; obtaining the sum of the number of patients who are reserved in the next day in all related outpatient departments who will use the medical equipment; and the data analysis module is used for setting use consumption duration for the different managed devices and obtaining the total number of the medical devices needing to be upgraded to obtain the total number of people available for the medical devices every day. According to the invention, the system can reasonably arrange equipment upgrading by comparing the number of reserved patients with the number of available people of the equipment, if the number of people is estimated to be small, the system can execute an upgrading instruction, otherwise, the upgrading is postponed to ensure that the patients can not be affected in the peak period of using the equipment, and through intelligent management and a flexible strategy, the equipment upgrading efficiency is improved. And the balance between the upgrade of medical equipment and the doctor-seeing demand of the patient is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device upgrade management, and specifically to a smart medical health management system. Background Art

[0002] A smart medical health management system is a system that uses modern information technologies, especially technologies such as the Internet, big data, and artificial intelligence, to comprehensively collect, analyze, and manage health data. In the context of a smart medical health management system, the upgrade and management of medical devices is a key area, and regularly upgrading devices is an important means to ensure the quality and efficiency of medical services.

[0003] With the progress of technology, the degree of intelligence, interconnection, and dataization of medical devices is increasing day by day. How to effectively manage and upgrade these devices has become an important challenge that medical institutions must face. At present, when hospitals upgrade medical devices, the devices may need to be shut down during the upgrade process, resulting in the interruption of clinical work. Moreover, after the device is upgraded, it may take time to debug and test when it resumes normal use, so the time for device upgrade and debugging often requires an entire working day, affecting the medical services for patients. Summary of the Invention

[0004] Aiming at the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a smart medical health management system, so that when the medical devices in the hospital are upgraded, the upgrade behavior of the devices can be dynamically adjusted according to the different degrees of demand for medical devices by daily visiting patients, thereby reducing the impact of device upgrade on the medical services for patients.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A smart medical health management system, including:

[0006] A visit acquisition module, which is used to obtain the relevant outpatient departments that will use a certain medical device when receiving an upgrade push of the specified medical device, and obtain the total number of reserved visits of all relevant outpatient departments that will use this medical device on the next day;

[0007] A data analysis module, which is used to set the usage consumption duration for different managed devices, and obtain the total number of medical devices to be upgraded, so as to obtain the total number of people who can use this medical device daily;

[0008] A dynamic adjustment module, which is used to obtain the expected number of users based on the total number of reserved visits of the relevant outpatient departments on the next day, and then compare the total number of people who can use the medical device to be upgraded daily with the expected number of users, and make corresponding responses according to the comparison result;

[0009] An upgrade control module, which is used to obtain the remaining available usage times based on the total daily available number of people and the estimated number of users of the medical devices to be upgraded when executing the upgrade instruction, and obtain the number of devices to be upgraded based on the remaining available usage times. The system will upgrade the corresponding number of medical devices on the next day according to the result of the number of devices to be upgraded.

[0010] In some embodiments, the specific method for obtaining the total daily available number of people of the medical devices to be upgraded in the hospital is as follows: The daily available times Cs of each device is obtained by combining the preset daily usage duration Sy and the usage consumption duration Sx, i.e., Cs = Sy ÷ Sx. Then, the total daily available number of people Rs of the medical devices is obtained by combining the daily available times Cs and the total number Zs of the medical devices to be upgraded, i.e., Rs = Cs × Zs.

[0011] In some embodiments, the specific method for obtaining the estimated number of users is as follows: The total estimated number of patients Ds for the day is obtained by multiplying the total number of reserved appointments Js in the relevant outpatient departments on the next day by a proportionality factor k, i.e., Ds = Js × k. The total estimated number of users Ys is obtained by summing the total number of reserved appointments Js on the next day and the total number of patients Ds for the day, i.e., Ys = Js + Ds.

[0012] In some embodiments, the specific reaction based on the comparison result of the estimated number of users and the total daily available number of people of the medical devices to be upgraded is as follows: If the estimated number of users on the next day is greater than or equal to the total daily available number of people of the medical devices to be upgraded, the system does not perform the upgrade operation; if the estimated number of users on the next day is less than the total daily available number of people of the medical devices to be upgraded, indicating that there is a surplus of devices, the system then executes the upgrade instruction.

[0013] In some embodiments, since each medical device is calculated based on one person using it once, the difference between the total daily available number of people and the estimated number of users of the medical devices to be upgraded is the remaining available usage times of this type of medical device on the next day. Then, the number of devices to be upgraded Eu is obtained by dividing the remaining available usage times Ks by the total number Zs of this type of medical device, i.e., Eu = Ks ÷ Zs.

[0014] In some embodiments, an upgrade deadline threshold is set. After the system receives the push for device upgrade, it records the number of days from when the medical device to be upgraded receives the upgrade push but has not been upgraded. If the number of days from when the medical device to be upgraded receives the upgrade push but has not been upgraded exceeds the upgrade deadline threshold, the system will then upgrade all the un-upgraded devices on the next day and push an upgrade notice to each relevant outpatient department and the management center of the hospital.

[0015] In some embodiments, a pre-upgrade deadline threshold is set, and the pre-upgrade deadline threshold should be less than the upgrade deadline threshold, such that the number of days when the medical device has not been upgraded will first be compared with the pre-upgrade deadline threshold and corresponding reactions will be made according to the comparison result.

[0016] In some embodiments, the specific response based on the comparison result between the number of days since the medical device was not upgraded and the pre-upgrade period threshold is as follows: When the system receives an upgrade push but the number of days since the medical device was not upgraded does not exceed the pre-upgrade period threshold, the system does not respond; if it exceeds the pre-upgrade period threshold, then obtain the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded. 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 phased upgrade strategy.

[0017] In some embodiments, the phased upgrade strategy includes: If the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded is greater than 0.25 and less than or equal to 0.5, the system will adjust the dynamic adjustment module, replace the total number of patients on the current day with the total number of the lowest number of patients on the current day for use. Specifically, the total number of scheduled patients Js on the next day is combined with an adjustable ratio factor n less than 1 to obtain the total number of the lowest scheduled patients Jz = Js × n, so as to slightly improve the sensitivity of the system to execute the upgrade instruction;

[0018] If the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded is greater than 0 and less than or equal to 0.25, the system will adjust the dynamic adjustment module, compare the expected number of users with the total number of daily available medical devices to be upgraded and the total number of scheduled patients on the next day, so as to effectively improve the sensitivity of the system to execute the upgrade instruction;

[0019] If the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded is 0, the system will no longer execute the logic of the previous upgrade instruction. Instead, subtract the pre-upgrade period threshold from the upgrade period threshold to obtain the upgrade period difference, and divide the total number of medical devices to be upgraded by the upgrade period difference to obtain the number of devices to be upgraded per day. The system will upgrade the in-hospital devices every day according to the number of devices to be upgraded per day in the future, so that the medical devices to be upgraded will be upgraded in an orderly manner according to the quantity every day when the number of days since the devices were not upgraded reaches the number of days specified by the pre-upgrade period threshold.

[0020] The present invention 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 and health management system.

[0021] The technical solution provided by the present invention has the following beneficial effects compared with the prior art:

[0022] First, by comparing the number of patients with appointments and the available number of devices, the system of the present invention can reasonably arrange equipment upgrades. If the expected number of users is small, the system will execute the upgrade instruction; otherwise, the upgrade will be postponed to ensure that patient visits are not affected during the peak usage period of the equipment. Through intelligent management and flexible strategies, a balance between medical equipment upgrades and patient visit needs is achieved.

[0023] Second, the present invention uses the upgrade deadline threshold and the pre-upgrade deadline threshold as a dual safeguard mechanism. If the equipment has not been upgraded before the upgrade deadline threshold, the system will enforce the upgrade to ensure the timely update 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 to further reduce the upgrade risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a schematic flowchart of a smart healthcare management system of the present invention;

[0025] Figure 2 is a schematic diagram of the modules of a smart healthcare management system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0027] It can 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, while in other embodiments, the number of this element can be multiple. The term "one" cannot be understood as a limitation on the quantity.

[0028] The present invention provides a smart healthcare management system, as Figure 1 and Figure 2 shown, including a visit acquisition module, a data analysis module, a dynamic adjustment module, and an upgrade control module;

[0029] The visit acquisition module includes that the system receives upgrade push information through an interface. The push contains basic information such as the unique identifier 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 will use this medical device are acquired, and the total number of patients with appointments for the next day in all relevant outpatient departments that will use this medical device is obtained.

[0030] The data analysis module includes setting the usage consumption duration for different managed devices. The usage consumption duration is set according to the average time used for each medical device in one actual use, and obtaining the total number of medical devices to be upgraded, and getting the total number of people who can use this type of medical device daily. To obtain the total number of people who can use the medical devices to be upgraded in the hospital daily, it is necessary to first calculate the daily available times of each device. The daily available times Cs of each device is obtained by combining the preset daily usage duration Sy with the usage consumption duration Sx, i.e., Cs = Sy ÷ Sx. Then, by combining the daily available times Cs with the total number of medical devices to be upgraded Zs, the total number of people who can use this medical device daily Rs = Cs × Zs. The daily usage duration represents the total duration that the hospital stipulates can be used for this medical device daily. For example, it is set that there are 10 medical devices to be upgraded configured in the hospital, the usage consumption duration for each time of this type of medical device is 15 minutes, and the total duration that can be used for this medical device daily is 10 hours. After converting 10 hours into 600 minutes, the daily available times of each device can be obtained as 600 ÷ 15 = 40, and the total number of people who can use this medical device daily is 10 × 40 = 400.

[0031] The dynamic adjustment module includes obtaining the estimated number of users based on the total number of scheduled appointments in the relevant outpatient departments for the next day, and then comparing the total number of people who can use the medical devices to be upgraded daily with the estimated number of users in the relevant outpatient departments for the next day, and making corresponding responses according to the comparison results. Specifically, it is necessary to first obtain the total estimated number of patients for the day Ds = Js × k through the total number of scheduled appointments Js in the relevant outpatient departments for the next day, where k represents the proportionality factor. The significance of the proportionality factor k is as follows: Since the total number of scheduled appointments is obtained through the registration system and represents the number of patients who have made appointments within the next day, however, in addition to the scheduled patients, there may be patients who come to the hospital directly to register and see a doctor on the same day, and these patients will also use the medical devices to be upgraded. By introducing the proportionality factor k, the system can take into account the number of patients who register on the same day, and thus more reasonably predict the total number of patients who will use this medical device. The proportionality factor k can be adjusted according to historical data. For example, if historical data shows that the ratio of scheduled appointments to 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, by summing up the total number of scheduled appointments Js in the relevant outpatient departments for the next day and the total number of patients for the day Ds, the estimated number of users Ys = Js + Ds is obtained.

[0032] After obtaining the expected number of users, the specific response based on the comparison result between it and the total daily available number of the medical device to be upgraded is as follows: If the expected number of users for the next day is greater than or equal to the total daily available number of the medical device to be upgraded, it means that the number of patients expected to visit the hospital the next day is relatively large, and there will be a phenomenon of saturated use of this type of medical device in the hospital. Then the system does not perform the upgrade operation. If the expected number of users for the next day is less than the total daily available number of the medical device to be upgraded, indicating that there is a surplus of the device, it means that not all of this type of medical device will be used by the patients expected to visit the hospital the next day. Then the system executes the upgrade instruction;

[0033] When the upgrade control module executes the upgrade instruction, it calculates the remaining available usage times by subtracting the expected number of users from the total daily available number of the medical device to be upgraded. Since each medical device is calculated based on one use per person, the difference between the total daily available number of the medical device to be upgraded and the expected number of users is the number of additional remaining available usage times of this type of medical device for the next day. Then, by dividing the remaining available usage times Ks by the total number of this type of medical device Zs, the number of upgraded devices Eu = Ks ÷ Zs is obtained, and the result is rounded up. The system will upgrade the corresponding number of medical devices the next day according to the result of the number of upgraded devices;

[0034] Generally speaking, there are mainly four steps in the processing method for receiving the upgrade push of medical devices. First, the total number of reserved patients in the relevant outpatient departments using this type of medical device for the next day is obtained. Based on the total number of patients and the proportion of historical reservations and patients registering for treatment on the same day in the hospital, the expected number of users of the medical device to be upgraded for the next day can be obtained. Then, the system calculates the total daily available number of this type of medical device in the hospital based on the usage duration consumed each time by this type of medical device. Next, when the expected number of users of the medical device to be upgraded for the next day is less than the total daily available number of this type of medical device, the system will execute the upgrade instruction. Finally, the upgrade instruction will reasonably allocate the number of upgraded devices for the next day according to the specific remaining available usage times. By obtaining the reserved patient numbers of relevant outpatient departments and combining historical data, the system can more accurately predict the expected number of users of medical devices for the next day. This data-based prediction enables the hospital to reasonably arrange the use and upgrade of medical devices.

[0035] On the other hand, if, after the system receives a push notification for upgrading a medical device, the number of patients in the hospital who need to use this type of medical device remains saturated for a period of time, it will cause this type of medical device to never be updated. Regularly upgrading devices is an important means to ensure the quality and efficiency of medical services, and many countries and regions have strict regulatory requirements for the effectiveness of medical devices. Regularly upgrading and maintaining devices is also part of compliance. Therefore, it is necessary to set an upgrade deadline threshold. After the system receives a push notification for device upgrade, record the number of days that the medical device to be upgraded has not been upgraded after receiving the upgrade push. If the number of days without upgrade after receiving the upgrade push exceeds the upgrade deadline threshold, it means that the non-upgrade period of the device has reached its limit. At this time, the system will upgrade all the non-upgraded devices the next day and send upgrade notifications to all relevant outpatient departments and management centers in the hospital.

[0036] However, if, after the system receives a push notification for upgrading a medical device, all devices have not been upgraded before the upgrade deadline threshold, then when the number of days without upgrade exceeds the upgrade deadline threshold, it will cause all such medical devices in the hospital to stop being used and be upgraded and maintained the next day. But this obviously has problems: First, the complete shutdown of this type of medical device in the hospital will paralyze the diagnosis of relevant outpatient departments. Second, after all devices are shut down at the same time, the engineers who upgrade and maintain the test devices will face a large number of upgrade and debugging tasks in a short period of time, which may lead to the inability to handle all device upgrades and debugging in a timely manner, further prolonging the downtime of the devices. Therefore, a pre-upgrade deadline threshold is set, and the pre-upgrade deadline threshold should be less than the upgrade deadline threshold, so that the number of days without upgrade of the medical device will first be compared with the pre-upgrade deadline threshold. When the number of days without upgrade of the medical device after the system receives the upgrade push exceeds the pre-upgrade deadline threshold, obtain the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded. If the ratio exceeds 0.5 (half), it indicates that until the number of days specified by the pre-upgrade deadline threshold after the upgrade push, more than half of the medical devices to be upgraded have been upgraded. Therefore, even when the non-upgraded devices are upgraded simultaneously due to reaching the upgrade deadline threshold in the future, at least half of the upgraded devices are available for patients, and the system does not respond. If the ratio is less than or equal to 0.5 (half), it indicates that until the number of days specified by the pre-upgrade deadline threshold after the upgrade push, most of the medical devices have not been upgraded, and there is a risk of most medical devices being shut down for upgrade simultaneously in the future. Therefore, the system will execute the phased upgrade strategy;

[0037] The specific stage upgrade strategy is as follows: If the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded is greater than 0.25 and less than or equal to 0.5, it indicates that the number of upgraded medical devices is relatively small. The system will adjust the dynamic adjustment module and replace the total number of patients visiting on the same day with the total number of the lowest number of patients visiting on the same day for use. Specifically, the total number of reserved patients for the next day Js is combined with an adjustable ratio factor n less than 1 to obtain the total number of the lowest reserved patients Jz = Js × n, so as to reduce the value of the subsequent estimated number of users, and slightly improve the sensitivity of the system to execute the upgrade instruction. The reason for this is that in actual reserved visits, there will be patients who made reservations in advance but did not go to the hospital on the day of the visit. Thus, the number of patients who are estimated not to visit can be reflected by combining the adjustable ratio factor n. The adjustable ratio factor n can determine a reasonable value by analyzing the actual situation of no-shows in reserved visits over a certain period of time in the past; If the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded is greater than 0 and less than or equal to 0.25, it indicates that the number of upgraded medical devices is extremely small. The system will adjust the dynamic adjustment module and compare the estimated number of users with the total number of reserved patients for the next day and the total daily available number of medical devices to be upgraded. That is to say, the system will only judge whether to execute the upgrade instruction based on the comparison result between the number of reserved patients and the total daily available number of medical devices, and no longer consider the patients who register and visit the hospital on the same day. This can effectively improve the sensitivity of the system to execute the upgrade instruction. Although there may be an increase in the waiting time for using the device for the patients visiting the next day, there are still available devices for use, finding a balance between device upgrade and use; If the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded is 0, it indicates that by the number of days specified by the pre-upgrade deadline threshold, none of the medical devices has executed the upgrade instruction, and the upgrade time of the medical devices to be upgraded in the hospital has been seriously delayed. The system will no longer execute the logic of the previous upgrade instruction, but subtract the pre-upgrade deadline threshold from the upgrade deadline threshold to obtain the upgrade deadline difference, and divide the total number of medical devices to be upgraded by the upgrade deadline difference to obtain the number of devices to be upgraded daily. The system will upgrade the hospital devices daily according to the number of devices to be upgraded daily in the following days, so that the medical devices to be upgraded will be upgraded in an orderly manner according to the quantity every day when the number of days without device upgrade reaches the number of days specified by the pre-upgrade deadline threshold, without considering the number of patients visiting daily, ensuring that all medical devices to be upgraded are upgraded by the time the number of days specified by the upgrade deadline threshold is reached, and also ensuring that there are available medical devices for patients to diagnose and use every day in the hospital during the upgrade process.

[0038] In summary, the present invention aims to design a smart medical health management system to address the problem that the medical equipment in the hospital needs to be upgraded, which leads to the delay of medical diagnosis work in the middle of the operation. The present invention cleverly balances the medical equipment upgrade and the patient's medical treatment needs through this smart medical health management system, avoiding the dilemma of service interruption due to upgrades. The system realizes intelligent management through four core modules, namely, the medical treatment acquisition module, the data analysis module, the dynamic adjustment module and the upgrade control module. First, the medical treatment acquisition module collects the number of appointments for the next day in the relevant department, and accurately predicts the equipment usage demand by combining the appointment ratio in the historical data with the registration ratio on the day. The data analysis module calculates the total number of people available per day based on the time consumed by the equipment and the number of equipment configured in 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 number of equipment users with the total number of people available per day. If the number of users is expected to be small, the system will execute the upgrade instruction; otherwise, the upgrade will be postponed to ensure that the patient's medical treatment is not affected. The upgrade control module calculates a reasonable number of upgraded equipment based on the number of free uses and performs the upgrade operation. In addition, the system also introduces upgrade deadline threshold and pre-upgrade deadline threshold as a dual guarantee mechanism. If the device is not upgraded before the upgrade deadline threshold, the system will force the upgrade to ensure the timely update 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 to further reduce the upgrade risk. If the proportion of upgraded devices is high, the system maintains the original strategy; if the proportion is low, the system will increase the sensitivity of the upgrade instruction and give priority to ensuring the progress of device upgrades. In extreme cases, if there is still no device upgrade when the pre-upgrade deadline arrives, 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 devices every day. By predicting the number of patients and dynamically adjusting the upgrade plan, the impact on patient visits during the upgrade process is avoided. The system can also upgrade equipment during the low-visit period, improve equipment utilization, avoid resource waste, ensure that medical equipment is upgraded within the specified time, comply with relevant regulatory requirements, and ensure the effectiveness and safety of the equipment. In addition, the multi-stage upgrade strategy and dual threshold mechanism effectively reduce the risk of large-scale equipment downtime upgrades and ensure the stability of medical services. The automated upgrade management reduces manual intervention and improves the hospital's management efficiency. In short, the system achieves the best balance between medical equipment upgrades and patient treatment needs through intelligent management and flexible strategies, improving the quality and efficiency of medical services.

[0039] Embodiments disclosed in the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. Embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit, the above-mentioned functions defined in the methods of the present application are executed. It should be noted that the above-mentioned computer-readable medium in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of a computer-readable storage medium can include, but are not limited to: an electrical connection having one or more wire segments, a portable computer disk, 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, a computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device. And in the present application, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program codes. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program codes contained on the computer-readable medium can be transmitted by any appropriate medium, including but not limited to: wireless segments, wire segments, optical cables, RF, etc., or any suitable combination of the above.

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

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

Claims

1. A smart medical health management system, characterized in that: include: The consultation acquisition module is used to obtain the relevant outpatient departments that will use the specified medical equipment when receiving the upgrade push of the specified medical equipment, and obtain the total number of appointments for the next day for all the relevant outpatient departments that will use the specified medical equipment; The data analysis module is used to set the usage consumption time for different managed devices, obtain the total number of medical devices that need to be upgraded, and obtain the total number of people who can use this type of medical device every day; Dynamic adjustment module, which is used to obtain the expected number of users based on the total number of appointments for the next day in the relevant outpatient departments, and then compare the total number of people who can use the medical equipment to be upgraded every day with the expected number of users, and make corresponding responses based on the comparison results; The upgrade control module is used to obtain the number of available uses based on the total number of people who can use the medical equipment to be upgraded and the expected number of users per day when executing the upgrade command, and to obtain the number of upgraded devices based on the number of available uses. The system will upgrade the corresponding number of medical devices on the next day based on the result of the number of upgraded devices.

2. The smart medical health management system according to claim 1, characterized in that: The specific method to obtain the total number of people who can use the medical equipment that needs to be upgraded in the hospital every day is to combine the pre-set daily usage time Sy with the usage consumption time Sx to obtain the daily available times Cs = Sy ÷ Sx for each device, and then combine the daily available times Cs with the total number of medical equipment that needs to be upgraded Zs to obtain the total number of people who can use the medical equipment every day Rs = Cs × Zs.

3. The smart medical health management system according to claim 2, characterized in that: The specific method of obtaining the expected number of users is: through the total number of scheduled patients Js of the relevant outpatient departments on the next day, the estimated total number of patients on the day Ds = Js × k, where k represents the proportional factor; summing the total number of scheduled patients on the next day Js and the total number of patients on the day Ds to obtain the expected number of users Ys = Js + Ds.

4. The smart medical health management system according to claim 3, characterized in that: The specific response to the comparison result of the expected number of users and the total number of people who can use the medical equipment to be upgraded every day is: if the expected number of users for the next day is greater than or equal to the total number of people who can use the medical equipment to be upgraded every day, the system will not execute the upgrade operation; if the expected number of users for the next day is less than the total number of people who can use the medical equipment to be upgraded every day, it means that there is a surplus of equipment, and the system will execute the upgrade instruction.

5. The smart medical health management system according to claim 4, characterized in that: Since each medical device is calculated based on one use by one person, the difference between the total number of people who can use the medical device to be upgraded per day and the expected number of users is the extra number of vacant uses of this type of medical device in the next day. The number of upgraded devices Eu = Ks ÷ Zs is then obtained by using the extra number of uses Ks and the total number of medical devices Zs.

6. The smart medical health management system according to claim 5, characterized in that: Set an upgrade deadline threshold. After the system receives a push notification for equipment upgrade, it records the number of days that the medical equipment that needs to be upgraded has not been upgraded after receiving the upgrade push notification. If the number of days that the upgrade has not been upgraded after receiving the upgrade push notification exceeds the upgrade deadline threshold, the system will upgrade all non-upgraded devices on the next day and push upgrade notifications to all relevant outpatient departments and management centers in the hospital.

7. The smart medical health management system according to claim 6, characterized in that: A pre-upgrade deadline threshold is set. The pre-upgrade deadline threshold should be smaller than the upgrade deadline threshold, so that the number of days that the medical equipment is not upgraded will be compared with the pre-upgrade deadline threshold first, and a corresponding response will be made based on the comparison result.

8. The smart medical health management system according to claim 7, characterized in that: The specific response based on the comparison result of the number of days that the medical equipment has not been upgraded with the pre-upgrade deadline threshold is: when the system receives the upgrade push but the number of days that the medical equipment has not been upgraded does not exceed the pre-upgrade deadline threshold, the system will not respond; if it exceeds the pre-upgrade deadline threshold, the ratio of the number of upgraded medical devices to the total number of medical devices that need to be upgraded is obtained. If the ratio exceeds 0.5, the system will not respond; if the ratio is less than or equal to 0.5, the system will execute the stage upgrade strategy.

9. The smart medical health management system according to claim 8, characterized in that: The stage upgrade strategy includes: if the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded is greater than 0.25 and less than or equal to 0.5, the system will adjust the dynamic adjustment module to replace the total number of patients on the day with the total number of the minimum number of patients on the day for use, specifically, the total number of scheduled patients Js for the next day is combined with an adjustable proportional factor n less than 1 to obtain the total number of the minimum number of scheduled patients Jz = Js × n, so as to slightly improve the sensitivity of the system in executing the upgrade instruction; If the ratio of the number of upgraded medical devices to the total number of medical devices to be upgraded is greater than 0 and less than or equal to 0.25, the system will adjust the dynamic adjustment module and replace the expected number of users with the total number of appointments for the next day and compare it with the total number of people who can use the medical devices to be upgraded every day, so as to effectively improve the system's sensitivity in executing upgrade instructions; 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 will no longer execute the logic of the previous upgrade instruction, but will subtract the pre-upgrade deadline threshold from the upgrade deadline threshold to obtain the upgrade deadline difference, and divide the total number of medical devices that need to be upgraded by the upgrade deadline difference to obtain the daily number of upgraded devices. The system will upgrade the equipment in the hospital based on the daily number of upgraded devices every day thereafter, so that the medical equipment that needs to be upgraded will be upgraded in an orderly manner every day when the number of days without an upgrade reaches the number of days specified by the pre-upgrade deadline threshold.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement a smart medical health management system as described in any one of claims 1 to 9.

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