Clinical specimen automatic call identification method and system

Abstract

The invention relates to a clinical specimen automatic call identification method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining the specimen information of each specimen, and calculating the specimen priority index of each specimen based on the specimen information; acquiring department information of each department, and calculating a department workload index of each department based on the department information; according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen, calculating the transport priority of the specimen; calculating a call trigger index of the specimen according to the delivery priority of the specimen; according to the call triggering index of the specimen, calculating a path efficiency index used for optimizing a specimen conveying path; and when the call trigger index, the path efficiency index and the department workload index of the specimen meet preset conditions, triggering a visual specimen automatic calling device to call personnel to convey the target specimen. According to the invention, automatic and intelligent specimen automatic calling identification operation can be realized.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, system, electronic device and non-transitory computer-readable storage medium for automatic call identification of clinical specimens. Background Art

[0002] At present, the process of sending clinical specimens for inspection usually relies on manual coordination of specimen transportation. After the specimen is collected, the laboratory or relevant personnel will notify the specimen delivery personnel (usually the collection personnel or special transportation personnel) by phone to send the specimen to the laboratory for analysis. In this process, the telephone notification is generally made by manually dialing the phone. After the telephone communication is completed, the specimen delivery personnel will deliver the specimen to the designated laboratory on time according to the content of the phone call. This traditional method has become a common specimen transportation mode in medical institutions and can ensure that the specimen is delivered on time.

[0003] However, the manual phone call method is inefficient, especially when the sample size is large or there are many people submitting samples, which may lead to delayed information transmission or omissions. Secondly, manual operation can easily lead to unclear communication, especially in a busy working environment, where omissions often occur during telephone communication, which may lead to delayed or incorrect sample delivery. Furthermore, manual methods make it difficult to track and record in real time, and it is difficult to ensure the accuracy and timeliness of sample delivery, which brings potential risks and hidden dangers to the inspection work. Summary of the invention

[0004] In view of the technical problems existing in the prior art, the present invention provides a clinical specimen automatic call identification method, system, electronic device and non-transitory computer-readable storage medium capable of realizing automated and intelligent specimen call identification.

[0005] The technical solution of the present invention to solve the above technical problems is as follows: The present invention provides a method for automatic calling and identifying clinical specimens, the method comprising: Acquiring specimen information of each specimen, and calculating a specimen priority index of each specimen based on the specimen information; Acquire department information of each department, and calculate the department workload index of each department based on the department information; Calculating the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen; Calculating a call trigger index of the specimen according to the transport priority of the specimen; Calculating a path efficiency index for optimizing a specimen transportation path according to the call trigger index of the specimen; When the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions, the visual specimen automatic calling device is triggered to call personnel to transport the target specimen.

[0006] Optionally, the visual specimen automatic calling device includes an electronic test tube rack and an electronic screen; The electronic test tube rack is used to store different types of specimens in different areas, collect specimen information of each specimen, and send the specimen information to the electronic screen; The electronic screen is used to determine and display the department corresponding to each specimen according to the specimen information, and light up indicator lights of different colors according to the type of the specimen.

[0007] Optionally, the calculating the specimen priority index of each specimen based on the specimen information includes: Obtaining an urgency factor indicating the urgency of the specimen processing, a specimen type weight indicating the importance of the specimen type, and a department specificity coefficient indicating the degree of dependence of the department of the specimen on the specimen priority index; obtaining a time decay coefficient representing the effect of the specimen storage time on the priority index and the specimen storage time of the specimen; According to the first weight, the second weight and the third weight, combined with the time attenuation coefficient and the specimen storage time of the specimen, the urgency factor, the specimen type weight and the department specificity coefficient of the specimen are processed to obtain the specimen priority index of the specimen.

[0008] Optionally, the priority index of the specimen is expressed as: ; Among them, P is the priority index, U is the urgency factor, T is the specimen type weight, and S is the department specificity coefficient. are the first weight, the second weight and the third weight respectively, λ is the time attenuation coefficient, and t is the specimen storage time.

[0009] Optionally, the acquiring department information of each department and calculating the department workload index of each department based on the department information includes: Obtaining the weight coefficient and quantity of each type of specimens; Obtaining a staffing coefficient for measuring the staffing situation of the department, the busyness of the department, and a reference capacity of the number of specimens that the department can effectively process under normal working conditions; Obtaining the time period correction factor used to adjust department load changes in different time periods; The department workload index of the department is determined according to the time period correction coefficient, the weight coefficient and quantity of each type of specimens, and the staffing coefficient, busyness, and reference capacity of the department.

[0010] Optionally, the department workload index is expressed as: ; Where L is the department workload index, is the weight coefficient of the i-th type of specimen, is the number of specimens of the i-th category, K is the staffing coefficient, M is the busyness of the current department, R is the reference capacity of the department, and C is the time period correction coefficient.

[0011] Optionally, the calculating the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen includes: Obtain location impact factors to measure the ease of transporting specimens between different locations; Obtain the regional distribution coefficient reflecting the distribution of specimens in different regions; The transportation priority of the specimen is determined according to the specimen priority index of the specimen, the department workload index of the department corresponding to the specimen, the location influence factor and the regional distribution coefficient.

[0012] Optionally, the calculating the call trigger index of the specimen according to the transport priority of the specimen includes: Get the system load adjustment factor; Obtaining a real-time feedback factor representing the system's responsiveness to real-time feedback from specimen processing; The availability coefficient of the transporters to obtain the busyness and number of specimen transporters; Obtaining a batch optimization index for measuring the optimization degree of a specimen batch; The call trigger index of the specimen is determined according to the transport priority, system load adjustment coefficient, real-time feedback factor, transport personnel availability coefficient and batch optimization index corresponding to the specimen.

[0013] Optionally, the calculating, according to the call trigger index of the specimen, a path efficiency index for optimizing the specimen transportation path comprises: Obtaining a path complexity coefficient for measuring the complexity of the specimen transportation path; Obtain geographic distribution factors that characterize the geographic distribution of specimens from their origin to their destination; Obtaining a dynamic adjustment coefficient for adjusting path efficiency according to real-time conditions; The path efficiency index is determined according to the call trigger index, path complexity coefficient, geographical distribution factor and dynamic adjustment coefficient of the sample.

[0014] The present invention also provides a clinical specimen automatic call identification system, comprising: A first calculation module, used for acquiring specimen information of each specimen, and calculating a specimen priority index of each specimen based on the specimen information; A second calculation module is used to obtain department information of each department, and calculate the department workload index of each department based on the department information; A third calculation module is used to calculate the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen; A fourth calculation module, used to calculate a call trigger index of the specimen according to the transportation priority of the specimen; a fifth calculation module, configured to calculate a path efficiency index for optimizing a specimen transportation path according to the specimen call trigger index; The call identification module is used to trigger the visual specimen automatic calling device to call personnel to transport the target specimen when the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions.

[0015] In addition, to achieve the above objectives, the present invention also proposes an electronic device, comprising: a memory for storing a computer software program; a processor for reading and executing the computer software program, thereby implementing a clinical specimen automatic call identification method as described above.

[0016] In addition, to achieve the above-mentioned purpose, the present invention also proposes a non-transitory computer-readable storage medium, in which a computer software program is stored. When the computer software program is executed by a processor, it implements a clinical specimen automatic call identification method as described above.

[0017] The beneficial effects of the present invention are: (1) The present invention effectively optimizes the specimen processing flow and resource allocation within the hospital through dynamic evaluation and optimization of multiple key factors (such as specimen priority, department load, transportation priority, route optimization, etc.). In a complex medical environment, specimen processing not only depends on the degree of urgency, but also takes into account factors such as the department's load capacity and the choice of transportation route. This allows the hospital to maintain efficient specimen processing capabilities under high-load working conditions and avoid waste of resources.

[0018] (2) The present invention ensures that the system can respond to clinical needs in real time by refining multiple aspects such as specimen priority assessment, department load calculation, and transportation route optimization. It can flexibly adjust the specimen processing priority and transportation route based on real-time data and feedback information, greatly improving the hospital's responsiveness and decision-making flexibility for clinical specimens.

[0019] (3) The present invention introduces dynamic adjustment mechanisms such as real-time feedback factors and batch optimization indexes, which enhance the system's ability to respond to emergencies and dynamic environmental changes. For example, if a department is overloaded due to a surge in the number of patients, the system will automatically adjust the specimen processing priority to avoid a decrease in efficiency due to unreasonable resource allocation; at the same time, the batch optimization index can also adjust the arrangement of specimen batches to avoid over-concentration of processing of a certain type of specimens, thereby reducing the risk of system overload.

[0020] In summary, the present invention can achieve priority optimization of specimen processing, real-time monitoring of department load, optimization and adjustment of transportation paths, and efficient allocation of resources through intelligent specimen call identification and optimized paths. This systematic optimization scheme can not only improve the work efficiency of the hospital, but also improve patient satisfaction, reduce specimen processing delays, and avoid waste of resources. Overall, the present invention can provide important support for the operation and management of the hospital, especially in a high-load, high-demand medical environment, and can effectively improve the utilization rate and work efficiency of medical resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A scene diagram of a clinical specimen automatic call identification method provided by the present invention; Figure 2 A flowchart of a method for automatic calling and identifying clinical specimens provided by the present invention; Figure 3 A schematic diagram of an electronic screen provided by the present invention; Figure 4 A schematic diagram of a test tube rack provided by the present invention; Figure 5 A schematic diagram of the structure of a clinical specimen automatic call identification system provided by the present invention; Figure 6 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention; Figure 7 A schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0023] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0024] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0025] See also Figure 1 , Figure 1 This is a scene diagram of a clinical specimen automatic call identification method provided by the present invention. Figure 1 As shown, the terminal and the server are connected via a network, such as a wired or wireless network connection. The terminal may include but is not limited to portable terminals such as mobile phones and tablets installed with various network platform applications, as well as fixed terminals such as computers, query machines, and advertising machines. The server provides users with various business services, including service push servers, user recommendation servers, etc.

[0026] It should be noted that Figure 1 The scenario diagram of a clinical specimen automatic call identification method shown is only an example. The terminal, server and application scenario described in the embodiment of the present invention are intended to more clearly illustrate the technical solution of the embodiment of the present invention, and do not generate limitations on the technical solution provided by the embodiment of the present invention. Ordinary technicians in this field can know that with the evolution of the system and the emergence of new business scenarios, the technical solution provided by the embodiment of the present invention is also applicable to similar technical problems.

[0027] Among them, the terminal can be used for: Acquiring specimen information of each specimen, and calculating a specimen priority index of each specimen based on the specimen information; Acquire department information of each department, and calculate the department workload index of each department based on the department information; Calculating the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen; Calculating a call trigger index of the specimen according to the transport priority of the specimen; Calculating a path efficiency index for optimizing a specimen transportation path according to the call trigger index of the specimen; When the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions, the visual specimen automatic calling device is triggered to call personnel to transport the target specimen.

[0028] See also Figure 2 , provides a flow chart of a clinical specimen automatic call identification method of the present invention, comprising the following steps: Step 201: Obtain specimen information of each specimen, and calculate the specimen priority index of each specimen based on the specimen information.

[0029] In some embodiments, step 201 may include: Obtaining an urgency factor indicating the urgency of the specimen processing, a specimen type weight indicating the importance of the specimen type, and a department specificity coefficient indicating the degree of dependence of the department of the specimen on the specimen priority index; obtaining a time decay coefficient representing the effect of the specimen storage time on the priority index and the specimen storage time of the specimen; According to the first weight, the second weight and the third weight, combined with the time attenuation coefficient and the specimen storage time of the specimen, the urgency factor, the specimen type weight and the department specificity coefficient of the specimen are processed to obtain the specimen priority index of the specimen.

[0030] In some embodiments, the priority index of a specimen may be expressed as: ; Among them, P is the priority index, U is the urgency factor, T is the specimen type weight, and S is the department specificity coefficient. are the first weight, the second weight and the third weight respectively, λ is the time attenuation coefficient, and t is the specimen storage time.

[0031] In the specific implementation, U represents the urgency of the specimen, and the value range is 1 to 10. The larger the value, the higher the urgency of the specimen, indicating that the specimen needs to be processed as soon as possible. The urgency of the specimen affects the priority of the specimen. The higher the urgency, the higher the processing priority. Through the weight α of U, it can be ensured that urgent specimens are processed first.

[0032] T represents the type weight of the specimen, which can range from 1 to 5 and reflects the importance or difficulty of handling different types of specimens. For example, some special types of specimens may require longer processing time or special equipment, so they need to be given higher weights. The importance of the specimen type directly affects the priority. The weight coefficient β can ensure that when handling specimens of the same urgency, specimens of more important types are handled first.

[0033] S represents the department specificity coefficient, which ranges from 1 to 3. The processing requirements of different departments vary greatly. For example, some departments may require specimens to be processed with higher priority (such as the emergency department or intensive care unit), while other departments may have lower requirements. The special needs of the departments are weighted by the γ weight coefficient to ensure that departments with higher specificity can get higher priority.

[0034] These three coefficients represent the importance of urgency, specimen type, and department specificity in the priority calculation. They satisfy the condition α+β+γ=1, that is, their sum is 1, ensuring that the priority calculation is a weighted average. These coefficients can be flexibly adjusted according to specific circumstances to ensure a balance between urgency, specimen type, and department specificity in different environments. For example, if urgency is more important than specimen type and department specificity in some scenarios, the weight of α can be set higher.

[0035] λ represents the time decay coefficient, which is usually a positive number and is used to indicate the effect of specimen storage time on priority. As time goes by, the processing priority of the specimen will gradually decrease, which can prevent specimens that have been stored for a long time from being ignored.

[0036] The time decay coefficient λ makes the priority of the specimen gradually decrease as the storage time increases. ,As time t increases, the priority index will gradually decrease, thus reflecting the ,effect of time on the priority of specimens.

[0037] t represents the time the specimen has been stored, in hours. This variable determines how long the specimen has been stored from the moment it was received. The longer the specimen has been stored, the lower its priority. Combined with the decay coefficient λ, this ensures that the priority of specimens stored for a longer time gradually decreases over time, ensuring that new or more urgent specimens are processed first.

[0038] In the calculation process, the preliminary priority of the specimen is first calculated by linear weighting. Specifically, α×U represents the contribution of urgency to the priority, β×T represents the importance of the specimen type, and γ×S represents the role of department specificity in the priority. By comprehensively evaluating different factors through these three weight coefficients, the priority of the specimen can be adjusted dynamically.

[0039] because The existence of the item, the increase of storage time t will lead to the decay of priority. This reflects the logic of "first come, first served", ensuring that specimens with longer processing time gradually reduce their processing priority, avoiding long-term storage specimens occupying resources when resources are tight.

[0040] The final priority index P is obtained by combining the above weighted urgency, specimen type, department needs and the decay effect of storage time. This priority index P determines the order in which specimens should be given priority during transportation and processing.

[0041] The present invention can dynamically calculate the priority index of each specimen based on the urgency, specimen type, department specificity and storage time. This priority index will serve as a basis for decision-making, helping to efficiently allocate resources and process specimens in a busy clinical environment, thereby improving overall work efficiency and the utilization of medical resources.

[0042] Step 202: Obtain department information of each department, and calculate the department workload index of each department based on the department information.

[0043] In some embodiments, step 202 may include: Obtaining the weight coefficient and quantity of each type of specimens; Obtaining a staffing coefficient for measuring the staffing situation of the department, the busyness of the department, and a reference capacity of the number of specimens that the department can effectively process under normal working conditions; Obtaining the time period correction factor used to adjust department load changes in different time periods; The department workload index of the department is determined according to the time period correction coefficient, the weight coefficient and quantity of each type of specimens, and the staffing coefficient, busyness, and reference capacity of the department.

[0044] In some embodiments, the department workload index may be expressed as: ; Where L is the department workload index, is the weight coefficient of the i-th type of specimen, is the number of specimens of the i-th category, K is the staffing coefficient, M is the busyness of the current department, R is the reference capacity of the department, and C is the time period correction coefficient.

[0045] Specifically, Represents the weight coefficient of the i-th type of specimen, which is used to measure the processing complexity or importance of different types of specimens. Each type of specimen is assigned a different weight according to its characteristics, processing difficulty or time required. The weight coefficient of the specimen type reflects the impact of the type of specimens that the department needs to handle on the overall load. For example, some types of specimens may require more time, special equipment or highly skilled operations, and therefore are given a higher weight.

[0046] It represents the number of specimens in the i-th category, reflecting the number of each specimen. The number of specimens directly affects the workload. The more the number, the greater the workload. Therefore, the product of the number and the weight coefficient is It can accurately reflect the actual burden of each type of specimen.

[0047] K is the staffing factor, which is used to measure the staffing of the department. The available staff resources in the department directly affect the load handling capacity. Generally speaking, when the staffing is high (i.e., there are many staff), the load index will be lower.

[0048] The staffing coefficient K is used to consider the staffing of the department. Departments with more people have a stronger ability to handle the load, so this coefficient can reflect the work efficiency of the department staff. Its value is usually a positive number, representing the department's ability to handle the workload.

[0049] M represents the current busyness of the department, and the value range is usually 1 to 10, where 1 represents very relaxed and 10 represents very busy. This value is usually determined by factors such as the current workload of the department, the number of specimens waiting, and the operation time.

[0050] Step 203: Calculate the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen.

[0051] In some embodiments, step 203 may include: Obtain location impact factors to measure the ease of transporting specimens between different locations; Obtain the regional distribution coefficient reflecting the distribution of specimens in different regions; The transportation priority of the specimen is determined according to the specimen priority index of the specimen, the department workload index of the department corresponding to the specimen, the location influence factor and the regional distribution coefficient.

[0052] In some embodiments, the shipping priority may be expressed as: ; Among them, D is the transportation priority, P is the priority index, and L is the department workload index. is the position influence factor, is the regional distribution coefficient.

[0053] In the specific implementation, P is the priority index of the specimen, which indicates the urgency of specimen processing. This value is usually calculated based on factors such as urgency, specimen type, department specificity, and storage time. The priority index P is a key factor affecting the priority of specimen transportation. The higher the priority of the specimen, the higher the transportation priority. Therefore, the priority index directly determines the priority of the specimen in the overall transportation process.

[0054] L is the workload index of the department, which indicates how busy the department is in processing tasks. It takes into account factors such as the type and quantity of specimens, staffing, department busyness, and department reference capacity. The department load index L is used to adjust the priority of specimen transportation. Departments with higher loads usually require more resources and time to process specimens, so their transportation priority will be affected. By considering the load, the transportation of specimens is ensured not only based on their urgency, but also needs to adapt to the work pressure and processing capacity of the department.

[0055] θ is the location influence factor, which usually ranges from 0 to 1 and is used to measure the difficulty of transporting specimens between different locations. The distance between different locations, traffic conditions, and other external factors (such as hospital floors and transportation difficulties between different departments) will affect the transportation priority of specimens. The location influence factor θ is used to adjust the priority of specimens, reflecting the inconvenience caused by spatial distance or traffic problems during transportation. The larger the value, the greater the impact of distance or other factors on the transportation priority, thereby affecting the transportation arrangement of specimens.

[0056] The regional distribution coefficient V represents the impact of the number and distribution of specimens in different regions. The transport priority of regions that are farther away or have more specimens will be more affected. Through V, the transport route and sequence can be reasonably arranged according to the distribution of specimens to optimize the overall transport efficiency.

[0057] The calculation of the transport priority D first combines the specimen priority index P and the department load index L. The priority index P determines the urgency of the specimen, and the load index L reflects the workload of the department. The combination of the two ensures that not only urgent specimens are prioritized, but also the workload of the department is taken into account to avoid over-assigning too many tasks to busy departments.

[0058] The location influence factor θ and the regional distribution coefficient V adjust the transportation priority together to ensure that the transportation order matches the actual transportation situation. If the specimens are distributed far away or need to be transported across regions, the transportation priority will be increased accordingly, reflecting that the transportation tasks that require more time and resources will be given priority.

[0059] The term (1+θ×V) is an adjustment factor for the difficulty of specimen transportation. With the influence of location and regional distribution, the transportation priority will increase accordingly. This ensures that specimens that require more time and are farther away can be processed first, preventing transportation delays in complex environments.

[0060] The present invention comprehensively considers factors such as specimen priority, department workload, location impact, and regional distribution. In practical applications, this formula helps to reasonably arrange the order of specimen transportation, ensure that urgent specimens are given priority, and consider the department workload and the actual difficulty of transportation, thereby improving clinical work efficiency and resource utilization.

[0061] Step 204: Calculate the call trigger index of the specimen according to the transportation priority of the specimen.

[0062] In some embodiments, step 204 may include: Get the system load adjustment factor; Obtaining a real-time feedback factor representing the system's responsiveness to real-time feedback from specimen processing; The availability coefficient of the transporters to obtain the busyness and number of specimen transporters; Obtaining a batch optimization index for measuring the optimization degree of a specimen batch; The call trigger index of the specimen is determined according to the transport priority, system load adjustment coefficient, real-time feedback factor, transport personnel availability coefficient and batch optimization index corresponding to the specimen.

[0063] In some embodiments, the call trigger index may be expressed as: ; Among them, T is the call trigger index, D is the delivery priority, μ is the system load adjustment coefficient, F is the real-time feedback factor, ρ is the delivery personnel availability coefficient, and B is the batch optimization index.

[0064] In the specific implementation, D is the specimen transportation priority, which indicates the urgency of the specimen to be processed first during transportation. This priority takes into account factors such as the specimen urgency, department load, and regional distribution. The transportation priority D is used to determine the specimen processing priority, which directly affects the call trigger index. If the transportation priority is high, the specimen call trigger index will also be high, so that it will be processed first.

[0065] μ is the system load adjustment coefficient, which is used to adjust the call trigger index according to the current system load. When the system load is high, the adjustment coefficient μ will be adjusted appropriately to slow down the call trigger speed and prevent the system from being overloaded; conversely, when the load is light, μ will increase to make the triggering faster. The system load adjustment coefficient μ controls the system's response speed when the load is heavy, ensuring that the call triggering is not too frequent under high load conditions, avoiding system crashes or reduced efficiency due to excessive processing of requests.

[0066] F is the real-time feedback factor, which indicates the system's ability to respond to real-time feedback on specimen processing. Feedback factor F reflects the system's response to real-time information such as specimen processing status, department load, and transportation status. When the department's processing progress is fast or smooth, the real-time feedback factor F will increase, thereby accelerating the processing of subsequent specimens. The real-time feedback factor F affects the timing of call triggering and can adjust the processing of subsequent specimens according to the actual processing situation. If the feedback is positive, the system will trigger the specimen call more quickly and optimize the processing process.

[0067] ρ is the transporter availability coefficient, which reflects the availability and resources of the transporter. If there are fewer available personnel or they are currently busy, the coefficient ρ will be higher, resulting in a more obvious attenuation of the call trigger index. If there are sufficient personnel, the attenuation is lower. The impact of the transporter availability coefficient ρ on the call trigger index is reflected in the delay or reduction of the frequency of triggering specimen calls when the personnel availability is insufficient, avoiding transportation delays or processing overloads caused by insufficient personnel.

[0068] The batch optimization index B measures the degree of optimization of the specimen batch. As the batch optimization degree increases, the efficiency of transportation and the order of processing become more reasonable, thereby reducing the waste of system resources. The increase in the batch optimization index will have a decaying effect on the call trigger index, avoiding unnecessary burdens caused by too many specimen batches.

[0069] The calculation of the call trigger index T first considers the specimen's transport priority D. The transport priority determines the urgency of the specimen's processing, so specimens with higher transport priorities will have a higher call trigger index. Then, it is adjusted by (1+μ×F) to ensure that the system load and real-time feedback factors are properly balanced. When the load is high, the system adjustment coefficient μ will limit the frequency of call triggers, while the real-time feedback factor F is dynamically adjusted according to the progress of specimen processing.

[0070] The term represents the impact of batch optimization, which controls the decay of the call trigger index through the delivery personnel availability coefficient ρ and the batch optimization index B. The higher the batch optimization index B, the higher the overall delivery and processing efficiency of the system, and T will be reduced accordingly, avoiding excessive calls caused by too many batches in the system.

[0071] The overall formula ensures that the frequency and processing speed of calls are balanced by comprehensively considering the urgency of the specimen, the department's load, the availability of delivery personnel, real-time feedback, and batch optimization, ensuring that the system maintains good scheduling efficiency under different loads and environments.

[0072] The present invention precisely controls the triggering timing of specimen processing by combining factors such as transport priority, system load regulation, real-time feedback, transport personnel availability, and batch optimization. This enables the system to dynamically adjust the call frequency in high-load and complex environments, thereby ensuring the efficiency and flexibility of the specimen processing process and avoiding excessive burden or waste of resources.

[0073] Step 205: Calculate a path efficiency index for optimizing the specimen transportation path according to the specimen call trigger index.

[0074] In some embodiments, step 205 may include: Obtaining a path complexity coefficient for measuring the complexity of the specimen transportation path; Obtain geographic distribution factors that characterize the geographic distribution of specimens from their origin to their destination; Obtaining a dynamic adjustment coefficient for adjusting path efficiency according to real-time conditions; The path efficiency index is determined according to the call trigger index, path complexity coefficient, geographical distribution factor and dynamic adjustment coefficient of the sample.

[0075] In some embodiments, the path efficiency index may be expressed as: ; Where T is the call trigger index, is the path complexity coefficient, G is the geographical distribution factor, and J is the dynamic adjustment coefficient.

[0076] In the specific implementation, T is the call trigger index of the specimen, which indicates the priority or urgency of the specimen being processed. The call trigger index T determines whether the specimen needs to be transported as soon as possible. When the T value is high, it means that the specimen is more urgent and needs to be given priority in transportation and processing. Therefore, T is the basis for calculating the efficiency of the path. The higher the transportation priority of the specimen, the higher the requirement for path optimization.

[0077] σ is the path complexity coefficient, which is used to measure the complexity of the specimen transportation path. It takes into account the diversity of the path, traffic conditions, obstacles that need to be crossed (such as floors, viaducts, etc.), and other factors that may increase the complexity of the path. The path complexity coefficient σ is used to indicate the "difficulty" of the path. The higher the path complexity, the greater the time and resource consumption of the specimen transportation, so it will be passed To adjust the path efficiency index, reduce the priority of complex paths, and reflect the negative impact of path complexity on overall delivery efficiency.

[0078] G is the geographic distribution factor, which is used to describe the geographic distribution characteristics of the specimen from the starting point to the destination. It usually takes into account the distance between different locations, the transportation network between regions, and the remoteness of the specimen location. The geographic distribution factor G affects the adjustment effect of the path complexity coefficient. If the specimen needs to cross a distant or more complex geographical area, G will increase the complexity of the path. Therefore, the product of σ×G reflects the combined effect of geographic distribution and path complexity, thereby adjusting the priority of the path.

[0079] J is a dynamic adjustment coefficient, which is used to adjust the path efficiency according to the real-time situation. This coefficient will change dynamically according to factors such as real-time traffic conditions, weather, and the time window for specimen transportation, ensuring that the path selection can be flexibly adjusted under different environmental conditions. The dynamic adjustment coefficient J ensures the real-time performance of the path optimization solution. As the environmental conditions change during the actual transportation process (such as traffic jams, weather changes, etc.), J will adjust the path selection so that the final path efficiency can be optimized and unnecessary delays caused by external factors can be avoided.

[0080] First, the urgency of the specimen and the complexity of the route are combined. The call trigger index T represents the urgency of the specimen delivery, while the route complexity coefficient σ and the geographical distribution factor G take into account the complexity of the route. If the route is more complex, the σ×G term will increase, resulting in a decrease in the route efficiency index E, indicating that the route has a lower priority.

[0081] The J term ensures the dynamic adjustment of the path efficiency index. In the actual transportation process, real-time traffic, weather and other factors may affect the path selection. The dynamic adjustment coefficient J enables the path optimization scheme to flexibly respond to these changes, thereby improving the transportation efficiency of the specimens.

[0082] The path efficiency index E comprehensively considers the urgency of the specimen, the complexity of the path, geographical factors and dynamic adjustment factors to help decision makers choose the best path to ensure that the specimens arrive at their destination on time and efficiently. The higher the path efficiency, the less delays and resource waste there are during the transportation process.

[0083] The present invention can effectively optimize the specimen transportation path by comprehensively considering factors such as call trigger index, path complexity, geographical distribution, and dynamic adjustment. Through this formula, the system can dynamically adjust the path selection while ensuring the priority of specimen processing, avoiding resource waste and delays caused by complex paths, and ensuring that the specimens can be delivered to the destination efficiently and in a timely manner.

[0084] Step 206: When the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions, the visual specimen automatic calling device is triggered to call personnel to transport the target specimen.

[0085] In some embodiments, the preset conditions may be that the call trigger index T>preset threshold, the path efficiency index E>minimum efficiency requirement, and the department workload index L<maximum load limit are all satisfied at the same time.

[0086] like Figure 3 and Figure 4 As shown, the visual specimen automatic calling device of the present invention may include an electronic test tube rack and an electronic screen; The electronic test tube rack is used to store different types of specimens in different areas, collect specimen information of each specimen, and send the specimen information to the electronic screen; The electronic screen is used to determine and display the department corresponding to each specimen according to the specimen information, and light up indicator lights of different colors according to the type of the specimen.

[0087] In the specific implementation, the electronic test tube rack and electronic screen realize the automatic identification, calling and transportation of clinical specimens. The system solves the management and communication problems existing in traditional specimen transportation through simple and intuitive visualization means, greatly improves the hospital's operating efficiency, and reduces errors and omissions in human operations.

[0088] The electronic test tube rack is a device designed for clinical departments in the present invention, which is specially used to receive and store specimens and automatically process specimen information. The electronic test tube rack is divided into three different areas, including a first area, a second area and a third area, so as to classify, manage and mark specimens according to their types.

[0089] The first area is used to place common blood specimens, which are suitable for daily routine examinations. Department staff will place the collected blood specimens in this area. The second area is used to place sputum specimens, throat swabs, living tissue and other specimens to meet different types of diagnostic needs. The third area is used to place emergency examination (emergency examination) specimens, which usually need to be transported to the laboratory for processing first.

[0090] After the department completes specimen collection, the staff will place the specimens in the corresponding area of ​​the electronic test tube rack. Each area represents a different type of specimen, which makes it easier to classify, track and manage the specimens.

[0091] Each test tube rack area has an electronic information collection function. When the specimen is placed in the corresponding area, the electronic test tube rack will automatically identify the information of the area and transmit the relevant information of the specimen (such as department name, specimen type, priority, etc.) to the electronic screen of the clinical support center through wireless or wired communication.

[0092] The electronic test tube rack ensures that specimens from different departments are not mixed and that specimen information between departments is clearly distinguished. When the specimen information is transmitted to the clinical support center, the electronic screen will display the department information of the specimen and its processing priority.

[0093] The electronic screen is a device used by hospital specimen transport personnel to monitor and guide specimen transport in real time. It displays specimen transport requirements by receiving information transmitted by the electronic test tube rack, and the on and off status of the indicator light helps transport personnel accurately understand the specimen transport status of each department.

[0094] Each department has an indicator light, and the on and off of the indicator light reflects whether the specimens of the department need to be transported. If the specimens of a department are ready, the corresponding light on the electronic screen will light up.

[0095] When a department's specimens need to be transported, the lights for common items will light up, and the indicator lights are usually green or other regular colors.

[0096] Urgent items require priority processing, so their corresponding indicator lights will light up red to remind hospital transport personnel that these specimens need to be transported first.

[0097] When the transporter takes the specimen from the test tube rack, the indicator light on the electronic screen will automatically go out, indicating that the specimen has been taken and is being transported. This process can be updated in real time to ensure smooth and efficient specimen transportation.

[0098] Clinical staff place specimens in the corresponding areas of the electronic test tube rack according to different specimen types. Each area has a clear classification (such as common blood specimens, emergency specimens, etc.) to ensure that specimens are not mixed up during collection.

[0099] The electronic test tube rack automatically collects specimen information and transmits it to the electronic screen of the clinical support center. This information includes department, specimen type and priority.

[0100] The specimen transport personnel of the Clinical Support Center check the specimen requirements through the electronic screen. When the indicator light on the screen lights up, it means that there are specimens that need to be transported. When the specimen type is an urgent test item, the transport personnel will give priority to such specimens.

[0101] After the transport personnel arrive at the corresponding department, they will take the specimen and send it to the laboratory or inspection room according to the department's requirements. After taking the specimen, the indicator light on the electronic screen will go out to ensure the transparency and timeliness of specimen transportation.

[0102] The electronic test tube rack automatically collects specimen information and transmits it to the electronic screen, eliminating the need for clinical staff to manually call to notify the transport personnel, greatly improving the efficiency of specimen processing. Different specimen types correspond to different areas, so there will be no problem of mixed specimens, which helps to reduce the omission and wrong transportation of specimens. The priority of emergency specimens is displayed by a red light to ensure that emergency specimens are delivered in time. The electronic screen displays the specimen transportation requirements in real time, and the transport personnel no longer need to confirm the specimen priority and transportation department multiple times, reducing the potential risks caused by manual judgment errors. The system automatically transmits specimen information, avoiding telephone communication between clinical staff and transport personnel that may be missed or delayed due to busyness. The system displays on the screen to facilitate rapid response by transport personnel. The system helps hospitals handle emergency specimens in a timely manner, reduces the time patients wait for test results, and improves the patient's medical experience.

[0103] The present invention realizes the automated management and transportation of clinical specimens through the cooperation of two independent devices, the electronic test tube rack and the electronic screen. Through the application of this system, hospitals can effectively improve the efficiency of specimen processing, reduce human errors and delays, optimize resource allocation, and improve patient satisfaction.

[0104] See also Figure 5 , Figure 5 A schematic diagram of the structure of a clinical specimen automatic calling and identifying system provided by the present invention.

[0105] like Figure 5 As shown, a clinical specimen automatic call identification system proposed in an embodiment of the present invention includes: The first calculation module 301 is used to obtain specimen information of each specimen, and calculate the specimen priority index of each specimen based on the specimen information; The second calculation module 302 is used to obtain department information of each department, and calculate the department workload index of each department based on the department information; The third calculation module 303 is used to calculate the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen; A fourth calculation module 304 is used to calculate a call trigger index of the specimen according to the transportation priority of the specimen; A fifth calculation module 305, for calculating a path efficiency index for optimizing a specimen transportation path according to the specimen call trigger index; The call identification module 306 is used to trigger the visual specimen automatic calling device to call personnel to transport the target specimen when the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions.

[0106] See also Figure 6 , Figure 6 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 6 As shown, an embodiment of the present invention provides an electronic device 400, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented: Acquiring specimen information of each specimen, and calculating a specimen priority index of each specimen based on the specimen information; Acquire department information of each department, and calculate the department workload index of each department based on the department information; Calculating the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen; Calculating a call trigger index of the specimen according to the transport priority of the specimen; Calculating a path efficiency index for optimizing a specimen transportation path according to the call trigger index of the specimen; When the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions, the visual specimen automatic calling device is triggered to call personnel to transport the target specimen.

[0107] See also Figure 7 , Figure 7 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention. Figure 7 As shown, this embodiment provides a computer-readable storage medium 500, on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented: Acquiring specimen information of each specimen, and calculating a specimen priority index of each specimen based on the specimen information; Acquire department information of each department, and calculate the department workload index of each department based on the department information; Calculating the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen; Calculating a call trigger index of the specimen according to the transport priority of the specimen; Calculating a path efficiency index for optimizing a specimen transportation path according to the call trigger index of the specimen; When the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions, the visual specimen automatic calling device is triggered to call personnel to transport the target specimen.

[0108] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0109] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0110] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or multiple boxes.

[0111] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction system, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0113] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0114] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for automatic calling and identifying clinical specimens, characterized in that: The method comprises: Acquiring specimen information of each specimen, and calculating a specimen priority index of each specimen based on the specimen information; Acquire department information of each department, and calculate the department workload index of each department based on the department information; Calculating the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen; Calculating a call trigger index of the specimen according to the transport priority of the specimen; Calculating a path efficiency index for optimizing a specimen transportation path according to the call trigger index of the specimen; When the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions, the visual specimen automatic calling device is triggered to call personnel to transport the target specimen.

2. The method for automatic calling and identifying clinical specimens according to claim 1, characterized in that: The visual specimen automatic calling device comprises an electronic test tube rack and an electronic screen; The electronic test tube rack is used to store different types of specimens in different areas, collect specimen information of each specimen, and send the specimen information to the electronic screen; The electronic screen is used to determine and display the department corresponding to each specimen according to the specimen information, and to light up indicator lights of different colors according to the type of the specimen.

3. The method for automatic calling and identifying clinical specimens according to claim 2, characterized in that: The calculating the specimen priority index of each specimen based on the specimen information includes: Obtaining an urgency factor indicating the urgency of the specimen processing, a specimen type weight indicating the importance of the specimen type, and a department specificity coefficient indicating the degree of dependence of the department of the specimen on the specimen priority index; obtaining a time decay coefficient representing the effect of the specimen storage time on the priority index and the specimen storage time of the specimen; According to the first weight, the second weight and the third weight, combined with the time attenuation coefficient and the specimen storage time of the specimen, the urgency factor, the specimen type weight and the department specificity coefficient of the specimen are processed to obtain the specimen priority index of the specimen.

4. The method for automatic calling and identifying clinical specimens according to claim 3, characterized in that: The priority index of the specimen is expressed as: ； Among them, P is the priority index, U is the urgency factor, T is the specimen type weight, and S is the department specificity coefficient. are the first weight, the second weight and the third weight respectively, λ is the time attenuation coefficient, and t is the specimen storage time.

5. The method for automatic calling and identifying clinical specimens according to claim 4, characterized in that: The acquiring department information of each department and calculating the department workload index of each department based on the department information includes: Obtaining the weight coefficient and quantity of each type of specimens; Obtaining a staffing coefficient for measuring the staffing situation of the department, the busyness of the department, and a reference capacity of the number of specimens that the department can effectively process under normal working conditions; Obtaining the time period correction factor used to adjust department load changes in different time periods; The department workload index of the department is determined according to the time period correction coefficient, the weight coefficient and quantity of each type of specimens, and the staffing coefficient, busyness, and reference capacity of the department.

6. The method for automatic calling and identifying clinical specimens according to claim 5, characterized in that: The department workload index is expressed as: ； Where L is the department workload index, is the weight coefficient of the i-th type of specimen, is the number of specimens of the i-th category, K is the staffing coefficient, M is the busyness of the current department, R is the reference capacity of the department, and C is the time period correction coefficient.

7. The method for automatic calling and identifying clinical specimens according to claim 6, characterized in that: Calculating the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen includes: Obtain location impact factors to measure the ease of transporting specimens between different locations; Obtain the regional distribution coefficient reflecting the distribution of specimens in different regions; The transportation priority of the specimen is determined according to the specimen priority index of the specimen, the department workload index of the department corresponding to the specimen, the location influence factor and the regional distribution coefficient.

8. The method for automatic calling and identifying clinical specimens according to claim 7, characterized in that: Calculating the call trigger index of the specimen according to the transport priority of the specimen includes: Get the system load adjustment factor; Obtaining a real-time feedback factor representing the system's responsiveness to real-time feedback from specimen processing; The availability coefficient of the transporters to obtain the busyness and number of specimen transporters; Obtaining a batch optimization index for measuring the optimization degree of a specimen batch; The call trigger index of the specimen is determined according to the transport priority, system load adjustment coefficient, real-time feedback factor, transport personnel availability coefficient and batch optimization index corresponding to the specimen.

9. The method for automatic calling and identifying clinical specimens according to claim 8, characterized in that: The step of calculating a path efficiency index for optimizing a specimen transportation path according to the specimen call trigger index comprises: Obtaining a path complexity coefficient for measuring the complexity of the specimen transportation path; Obtain geographic distribution factors that characterize the geographic distribution of specimens from their origin to their destination; Obtaining a dynamic adjustment coefficient for adjusting path efficiency according to real-time conditions; The path efficiency index is determined according to the call trigger index, path complexity coefficient, geographical distribution factor and dynamic adjustment coefficient of the sample.

10. A clinical specimen automatic call identification system, characterized in that: The system comprises: A first calculation module, used for acquiring specimen information of each specimen, and calculating a specimen priority index of each specimen based on the specimen information; A second calculation module is used to obtain department information of each department, and calculate the department workload index of each department based on the department information; A third calculation module is used to calculate the transportation priority of the specimen according to the specimen priority index of the specimen and the department workload index of the department corresponding to the specimen; A fourth calculation module, used to calculate a call trigger index of the specimen according to the transportation priority of the specimen; a fifth calculation module, configured to calculate a path efficiency index for optimizing a specimen transportation path according to the specimen call trigger index; The call identification module is used to trigger the visual specimen automatic calling device to call personnel to transport the target specimen when the call trigger index, path efficiency index and department workload index of the specimen meet preset conditions.

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