Intelligent management system for medical instruments

Abstract

The invention relates to the technical field of medical instrument management, in particular to a medical instrument intelligent management system which comprises a storage module, a calling quantification module, an identification module, a stock analysis module, an alarm module and an optimization module. The storage module is used for storing historical calling data, independent thresholds of instruments and consumables, matched combinations and combination thresholds of the instruments and the consumables. And the calling quantification module converts the historical calling data into an identification value, and gradually reduces the verification links according to the increase of the identification value. And the identification module executes verification measures, responds to a verification result and outputs a stock analysis instruction. And the stock analysis module analyzes the stock of the instruments and the consumables in the preset time period according to the current calling data and the target calling data. And the alarm module judges whether to trigger alarm according to the stock analysis result. And the optimization module adjusts an identification value or outputs a purchase strategy according to the alarm frequency, and optimizes instrument distribution.

Description

Technical Field

[0001] The present invention relates to the field of medical device management, and in particular to an intelligent management system for medical devices. Background Art

[0002] With the development of the medical industry, the types of medical devices and consumables are increasing, and the complexity of management and deployment is gradually increasing. The traditional management method of medical devices mainly relies on manual records and paper management, which not only has a large workload, but also has problems such as information lag, poor accuracy, and low efficiency. This management method is prone to mismatch, missing or excessive deployment of equipment and consumables, affecting the quality and efficiency of medical services. At the same time, with the expansion of the scale of hospitals and clinics, especially the establishment of large medical institutions, the management tasks of equipment and consumables are becoming increasingly arduous, and traditional management methods can no longer meet the growing demand. Therefore, there is an urgent need for a more intelligent and automated medical device and consumables management system to solve existing problems.

[0003] In recent years, with the development of information technology, especially the advancement of the Internet of Things, cloud computing, big data and artificial intelligence technology, intelligent management has become an important trend in the future development of the medical industry. Intelligent management systems can achieve accurate management of medical devices and consumables. Through real-time monitoring and early warning mechanisms, potential problems can be discovered in a timely manner and countermeasures can be taken, which significantly improves the efficiency and accuracy of management. This system can not only effectively reduce the cost and error rate of manual management, but also improve the utilization rate of equipment and consumables, avoid waste, and ensure that hospitals and clinics operate more efficiently, intelligently and safely.

[0004] At present, some medical device management systems have applied barcode, QR code and other identification technologies to manage through scanning equipment, and some systems have achieved real-time monitoring of equipment through the Internet of Things. However, these systems still have some limitations, such as the failure to effectively combine the actual use of the equipment for intelligent early warning, lack of targeted inventory forecasting and adjustment, etc. Especially in high-frequency usage scenarios such as large hospitals or emergency departments, the management system may not be able to track the real-time status of the equipment in a timely manner, resulting in equipment shortages or surpluses, which in turn affects the workflow and may even endanger the safety of patients. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent management system for medical equipment that can automatically identify and predict changes in the inventory of equipment and consumables, and allocate resources in a timely manner based on the predicted data to ensure the smooth progress of medical work and solve the problem of allocation differences in existing medical equipment management.

[0006] To this end, the present invention provides a medical device intelligent management system, which includes a storage module, a call quantification module, an identification module, a stock analysis module, an alarm module and an optimization module;

[0007] The storage module is configured to store historical call data, as well as independent thresholds of instruments and consumables, matching combinations of instruments and consumables, and combination thresholds corresponding to the matching combinations;

[0008] The call quantification module is configured to convert historical call data of a single call end into an identification value, and select different verification measures with gradually reduced verification links as the identification value increases;

[0009] The identification module is configured to perform a verification measure and output a stock analysis instruction to the stock analysis module in response to a verification match;

[0010] The inventory analysis module responds to the inventory analysis instruction and determines the inventory value within a preset period after the call according to the current call data of the same type of equipment or consumables and the target call data of the call end;

[0011] The alarm module responds to the fact that the stock value of the equipment and consumables at any time within the preset time period after the call is less than the corresponding independent threshold, or the stock value of the matching combination at any time within the preset time period after the call is less than the corresponding combination threshold, and issues an alarm;

[0012] The optimization module is configured to adjust the identification value based on the number of alarms within a period, or output a procurement strategy.

[0013] As a preferred technical solution for the intelligent management system of medical devices, the verification measures for calling the quantification module for determination and selection include:

[0014] The first level identification measure is verified by Face ID;

[0015] Secondary identification measures, verified by Face ID and identification chip;

[0016] Three-level identification measures, through face ID, identification chip and key verification.

[0017] As a preferred technical solution for the intelligent management system of medical devices, the identification value determined by the call quantification module is positively correlated with the number of calls and the call duration of the call end.

[0018] As an optimal technical solution for the intelligent management system of medical devices, the calling quantization module is provided with three continuous intervals of identification values, the higher interval value corresponds to the first-level identification measure, the middle interval value corresponds to the second-level identification measure, and the lower interval value corresponds to the third-level identification measure.

[0019] As a preferred technical solution for the intelligent management system of medical devices, the preset time period determined by the inventory analysis module is the interval between the current time and the latest time of return of the same type of devices or consumables.

[0020] As a preferred technical solution for the intelligent management system of medical devices, the optimization module compares the number of alarms within a cycle with a preset number threshold, and in response to the number of alarms being not 0 and less than or equal to the number threshold, determines to increment the identification value, and in response to the number of alarms being greater than the number threshold, determines to output a procurement strategy.

[0021] As a preferred technical solution for the intelligent management system of medical devices, the optimization module adjusts the identification value based on the number of alarms in a cycle, and selectively increases the identification values ​​of different intervals in the next cycle, including:

[0022] Get the calling end of the equipment, consumables or matching combination corresponding to each alarm called in the current cycle;

[0023] The identification value of the calling end in the next cycle of the current cycle is increased and adjusted according to the number of alarms and the number of calls made by the calling end to the equipment, consumables or matching combinations corresponding to the alarms.

[0024] As a preferred technical solution for the intelligent management system of medical devices, the output of the procurement strategy by the optimization module specifically includes: outputting procurement requirements, which are matching combinations, devices and consumables corresponding to the number of alarms.

[0025] The beneficial effects of the present invention are:

[0026] The medical device intelligent management system of the present invention realizes intelligent management and optimization of medical devices and consumables by combining multiple modules such as storage, quantification, identification, inventory analysis, alarm and optimization. The system can dynamically adjust the identification value according to the historical call data and real-time usage, optimize the verification link, and promptly issue an alarm when the inventory of the device or consumables is insufficient, so as to ensure the timely supply and reasonable allocation of medical devices and consumables. And considering the matching of devices and consumables for a certain type of treatment measures, if the matching combination is less than the corresponding combination threshold, the supply cannot be guaranteed. At the same time, through periodic alarm data analysis, the system can automatically optimize the procurement strategy, thereby reducing frequent alarms, improving the system response speed, optimizing the allocation and use efficiency of device resources, and reducing potential risks in medical management.

[0027] Furthermore, the present invention adopts three-level verification measures (face ID verification, face ID and identification chip verification, face ID and identification chip and key verification) in the call quantification module, and improves the security and accuracy of the system through multi-level verification measures. As the recognition value increases, the system automatically selects the corresponding verification measures, thereby avoiding too many complex verification links affecting the efficiency of the system and improving the call and allocation speed of medical devices.

[0028] Furthermore, the present invention positively correlates the identification value with the number of calls and the duration of the call, so that devices that are frequently called or used for a long time can obtain higher identification values, and thus enjoy higher verification priority in subsequent verifications. This design allows the frequency and duration of use of medical devices and consumables to affect the system identification process, thereby further improving the system's adaptability to different usage scenarios and optimizing resource allocation.

[0029] Furthermore, by setting three continuous intervals for the identification value, the present invention divides the identification value into different verification levels, with the low interval corresponding to strict verification measures and the high interval using a simplified verification method. In this way, the system can automatically adjust the verification steps according to the usage of the calling end, which not only ensures the security of the verification, but also avoids overly complicated verification processes, and improves the system's response speed and resource allocation efficiency.

[0030] Furthermore, the optimization module of the present invention dynamically adjusts the recognition value or outputs the procurement strategy by comparing the number of alarms with the preset number threshold. If the number of alarms is small, the recognition value can be increased, and the verification link can be reduced to increase the calling speed and reduce the shortage of equipment and consumables caused by the complex calling method; if the number of alarms is too many, the procurement strategy can be adjusted to optimize resource allocation. This mechanism can effectively reduce the frequency of alarms, improve the adaptability and stability of the system, avoid the waste of resources caused by excessive verification, and enhance the intelligence of the procurement strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a structural block diagram of the medical device intelligent management system in an embodiment of the present invention;

[0032] Figure 2 This is a workflow diagram of the medical device intelligent management system in an embodiment of the present invention;

[0033] Figure 3 This is a flowchart of the optimization module adjusting the recognition value according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0037] like Figure 1 and Figure 2 As shown, this embodiment provides a medical device intelligent management system, including a storage module, a call quantification module, an identification module, a stock analysis module, an alarm module and an optimization module;

[0038] The storage module is configured to store historical call data, as well as independent thresholds of instruments and consumables, matching combinations of instruments and consumables (combinations of instruments and consumables required for a single medical activity), and combination thresholds corresponding to the matching combinations;

[0039] The call quantification module is configured to convert historical call data of a single call end into an identification value, and select different verification measures with gradually reduced verification links as the identification value increases;

[0040] The identification module is configured to perform a verification measure and output a stock analysis instruction to the stock analysis module in response to a verification match;

[0041] The inventory analysis module responds to the inventory analysis instruction and determines the inventory value within a preset period after the call according to the current call data of the same type of equipment or consumables and the target call data of the call end; the preset period is the interval between the current time and the latest return time of the same type of equipment or consumables;

[0042] The alarm module responds to the fact that the stock value of the equipment and consumables at any time within the preset time period after the call is less than the corresponding independent threshold, or the stock value of the matching combination at any time within the preset time period after the call is less than the corresponding combination threshold, and issues an alarm;

[0043] The optimization module is configured to adjust the identification value based on the number of alarms within a period, or output a procurement strategy.

[0044] In the above embodiments, intelligent management and optimization of medical devices and consumables are achieved by combining multiple modules such as storage, quantification, identification, inventory analysis, alarm and optimization. The system can dynamically adjust the identification value and optimize the verification link according to historical call data and real-time usage, and issue timely alarms when the inventory of equipment or consumables is insufficient, ensuring the timely supply and reasonable allocation of medical devices and consumables. And considering the matching of equipment and consumables for a certain type of treatment measures, if the matching combination is less than the corresponding combination threshold, the supply cannot be guaranteed. At the same time, through periodic alarm data analysis, the system can automatically optimize the procurement strategy, thereby reducing frequent alarms, improving system response speed, optimizing the allocation and use efficiency of equipment resources, and reducing potential risks in medical management.

[0045] Specifically, the verification measures for calling the quantization module to make a determination and selection include:

[0046] The first level identification measure is verified by Face ID;

[0047] Secondary identification measures, verified by Face ID and identification chip;

[0048] Three-level identification measures, through face ID, identification chip and key verification. Three-level verification measures (face ID verification, face ID and identification chip verification, face ID and identification chip and key verification) are adopted in the call quantification module, and the security and accuracy of the system are improved through multi-level verification measures. As the recognition value increases, the system automatically selects the corresponding verification measures, thereby avoiding too many complex verification links affecting the efficiency of the system and improving the speed of calling and distributing medical devices. In implementation, each level of measures is replaced by other measures in the actual scenario to meet the differences and security of the links, which will not be repeated here.

[0049] Specifically, the identification value determined by the call quantification module is positively correlated with the number of calls and the call duration of the call end. In detail, this embodiment provides a specific method for determining the identification value:

[0050] The calculation method of the identification value takes into account the positive correlation between the number of calls and the length of the call. In other words, the caller with frequent calls and long calls should be assigned a higher identification value to improve the priority and accuracy of verification. The purpose of this design is to make the call trust of the caller with frequent calls and call durations that match the verification higher, and gradually reduce its verification steps by increasing the identification value, so as to optimize the timeliness of the use of instruments and consumables.

[0051] The identification value K is determined by the following formula:

[0052] K=N / N0+T / T0,

[0053] Among them, N is the number of times the calling end calls the required consumables or equipment, N0 is the total number of times the required consumables or equipment are called, T is the historical calling time of the calling end for the required consumables or equipment, and T0 is the total calling time of the required consumables or equipment.

[0054] When the identification value is read, the state of K is superimposed to obtain the identification value K0 after the state assignment.

[0055] K0 = K*β, where β is 1 / 2 when the number of simultaneously called callers is greater than the threshold, and is 1 when the number of simultaneously called callers is less than or equal to the threshold. The design ensures that the callers that are frequently called and used for a long time will obtain higher recognition values, thereby improving the priority and accuracy of their verification, ensuring that the callers with high trust can enjoy a simplified verification process, and optimizing the timeliness of the use of equipment and consumables. In addition, after reading the recognition value K, the system will also perform state superposition, calculate the recognition value K0 after the state assignment, and the value of the coefficient β is adjusted according to the number of simultaneously called callers. If the number of simultaneously called callers is greater than the preset threshold, the recognition value is reduced; if the number of simultaneously called callers is less than or equal to the threshold, β is 1, and the recognition value remains unchanged. This adjustment mechanism can reduce the system load in high concurrency conditions, while ensuring that the system response speed is not reduced in low concurrency conditions. Overall, this positive correlation design based on the number of calls and duration enables the system to dynamically adjust the verification process more intelligently, while improving the verification efficiency and ensuring the reasonable allocation and use of equipment and consumables.

[0056] Specifically, the calling quantization module is provided with three continuous intervals of identification values, the higher interval value corresponds to the first-level identification measure, the middle interval value corresponds to the second-level identification measure, and the lower interval value corresponds to the third-level identification measure. In this embodiment, K0<0.4 executes the third-level identification measure, 0.75≥K0≥0.4 executes the second-level identification measure, and K0>0.75 executes the first-level identification measure. This embodiment further refines the application method of the identification value, and adopts three continuous intervals to perform hierarchical management of the identification value K, so as to dynamically select different verification measures. Specifically, the system determines the verification step to be executed according to the interval in which the identification value K after the calculated state assignment is located. If K is less than 0.4, the system implements the third-level identification measures, that is, the most stringent verification means are used to confirm the identity or call request of the caller, ensuring that the caller with low trust can be fully verified to prevent erroneous calls or resource abuse; when K is between 0.4 and 0.75, the second-level identification measures are implemented, at which time the verification strength is moderate, which can not only ensure security, but also not be too complicated to affect the response speed; if K is greater than 0.75, the system implements the first-level identification measures, that is, by simplifying the verification steps to improve the verification efficiency, quickly respond to the caller with high trust, and ensure the efficient use of system resources. Such a grading mechanism gradually reduces the verification steps and optimizes the verification process according to the different identification values, while maintaining the system's fast response in high-frequency call scenarios and security in low-frequency scenarios. Through the precise division of identification values, the system can flexibly adapt to different usage needs, reduce unnecessary verification steps, improve overall efficiency, and ensure the intelligent and precise management of medical devices and consumables.

[0057] Specifically, the optimization module compares the number of alarms in the cycle with the preset number threshold, and in response to the number of alarms not being 0 and being less than or equal to the number threshold, determines to increment the identification value, and in response to the number of alarms being greater than the number threshold, determines to output the procurement strategy. In response to the number of alarms being 0, the original identification value is maintained and no further operation is performed. The number threshold can be set according to the actual scenario, and is 3 times in this embodiment. In detail, if the number of alarms is greater than the threshold, the system will output the procurement strategy. This shows that when alarms occur frequently and the inventory problem cannot be solved by optimizing the existing inventory or the verification process, the system will automatically execute the replenishment recommendation measures. This ensures that when there are serious problems with inventory, the system can take necessary remedial measures in time to prevent medical activities from being affected by inventory shortages. When the number of alarms is less than or equal to the threshold, the mechanism of incrementally adjusting the identification value helps to ensure the rationality of resource allocation. If the identification value increases, the system may reduce the verification steps or increase the priority of the caller with high trust, thereby accelerating the efficiency of resource calling on the basis of ensuring security and avoiding unnecessary extension of verification time.

[0058] See also Figure 3As shown, the optimization module adjusts the identification value based on the number of alarms in a cycle, and selectively increases the identification values ​​of different intervals in the next cycle, including:

[0059] Step S1, obtaining the calling end of the equipment, consumables or matching combination corresponding to each alarm called in the current cycle;

[0060] Step S2: The recognition value of the calling end in the next cycle of the current cycle is increased and adjusted according to the number of alarms and the number of calls of the calling end for the equipment, consumables or matching combination corresponding to the alarm. In implementation, the increase in the recognition value is proportional to the number of calls and does not exceed the upper limit of the corresponding interval, which will not be repeated here.

[0061] Specifically, the output of the procurement strategy by the optimization module specifically includes: outputting procurement requirements, which are the matching combinations, instruments and consumables corresponding to the number of alarms. In this optimization module, the output of the procurement strategy involves analysis based on the number of alarms, and outputting the corresponding procurement requirements. Procurement requirements specifically refer to the matching combinations, instruments and consumables that need to be replenished. Through this mechanism, the system can adjust the procurement strategy in time when the inventory is insufficient, ensure the continuous supply of medical devices and consumables, and optimize the use of resources. Traditional procurement decisions may be affected by human subjective judgment, and there are problems such as inaccuracy and delay. By automatically outputting procurement requirements through the optimization module, human errors or omissions can be reduced, ensuring that each purchase is based on the results of data analysis, and reducing management risks. The alarm data provides an instant and objective inventory status. The system outputs the procurement requirements based on the results of the alarm analysis, avoiding inaccurate procurement or delayed procurement plans due to the lack of real-time data.

[0062] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the devices, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based device that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0063] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the embodiments here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A medical device intelligent management system, characterized in that: It includes storage module, call quantification module, identification module, inventory analysis module, alarm module and optimization module; The storage module is configured to store historical call data, as well as independent thresholds of instruments and consumables, matching combinations of instruments and consumables, and combination thresholds corresponding to the matching combinations; The call quantification module is configured to convert historical call data of a single call end into an identification value, and select different verification measures with gradually reduced verification links as the identification value increases; The identification module is configured to perform a verification measure and output a stock analysis instruction to the stock analysis module in response to a verification match; The inventory analysis module responds to the inventory analysis instruction and determines the inventory value within a preset period after the call according to the current call data of the same type of equipment or consumables and the target call data of the call end; The alarm module responds to the fact that the stock value of the equipment and consumables at any time within the preset time period after the call is less than the corresponding independent threshold, or the stock value of the matching combination at any time within the preset time period after the call is less than the corresponding combination threshold, and issues an alarm; The optimization module is configured to adjust the identification value based on the number of alarms within a period, or output a procurement strategy.

2. The medical device intelligent management system according to claim 1, characterized in that: The verification measures for calling the quantization module to make a decision and select include: The first level identification measure is verified by Face ID; Secondary identification measures, verified by Face ID and identification chip; Three-level identification measures, through face ID, identification chip and key verification.

3. The medical device intelligent management system according to claim 2, characterized in that: The identification value determined by the call quantification module is positively correlated with the number of calls and the call duration of the call end.

4. The medical device intelligent management system according to claim 3, characterized in that: The calling quantization module is provided with three continuous intervals of identification values, wherein the higher interval value corresponds to the primary identification measure, the middle interval value corresponds to the secondary identification measure, and the lower interval value corresponds to the tertiary identification measure.

5. The medical device intelligent management system according to claim 4, characterized in that: The preset time period determined by the inventory analysis module is the interval between the current time and the latest return time of the same type of equipment or consumables.

6. The medical device intelligent management system according to claim 5, characterized in that: The optimization module compares the number of alarms within the cycle with a preset number threshold, and in response to the alarm number not being 0 and being less than or equal to the number threshold, determines to increment the identification value, and in response to the alarm number being greater than the number threshold, determines to output a procurement strategy.

7. The medical device intelligent management system according to claim 6, characterized in that: The optimization module adjusts the identification value based on the number of alarms in a cycle, and selectively increases the identification values ​​of different intervals in the next cycle, including: Get the calling end of the equipment, consumables or matching combination corresponding to each alarm called in the current cycle; The identification value of the calling end in the next cycle of the current cycle is increased and adjusted according to the number of alarms and the number of calls made by the calling end to the equipment, consumables or matching combinations corresponding to the alarms.

8. The medical device intelligent management system according to claim 1, characterized in that: The output of the procurement strategy by the optimization module specifically includes: outputting procurement requirements, where the procurement requirements are matching combinations, equipment and consumables corresponding to the number of alarms.

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