Information tracking method and system for medical clothes, electronic device and storage medium

Abstract

The application discloses a medical clothing information tracking method and system, an electronic device and a storage medium, and relates to the technical field of information tracking. The method comprises the following steps: acquiring the identification codes of various medical clothes in a target hospital; acquiring the clothing types and clothing use data corresponding to the various medical clothes based on the identification codes, wherein the clothing use data comprises historical washing records and use duration; determining the washing urgency values of the various medical clothes according to the clothing types and the clothing use data; determining the washing priorities of the various medical clothes based on the washing urgency values, and classifying the various medical clothes according to the washing priorities to obtain a classification result; and determining a washing list of the various medical clothes according to the classification result, and pushing the washing list to a medical clothing management center. The technical scheme provided by the application can accurately track the relevant information of various medical clothes, and timely process the medical clothes that need to be replaced or washed, so as to improve the medical service quality of the hospital.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information tracking, in particular to a medical clothing information tracking method and system, an electronic device and a storage medium. BACKGROUND

[0002] Medical clothing is an important material in the daily operation of a hospital, and plays an important role in maintaining the normal operation of the hospital and ensuring the quality of medical services. The management and maintenance of medical clothing have become an important link in the hospital logistics support work.

[0003] At present, hospitals usually replace or wash medical clothing in a fixed cycle. For example, medical clothing in a certain area or of a certain type is uniformly collected and processed at fixed time intervals. However, due to the large number of hospital staff, the use frequency and intensity of medical clothing in each department differ, and the fixed cycle processing method is prone to cause confusion in the replacement of medical clothing, and the relevant information of each medical clothing cannot be tracked in time, so that the medical clothing that needs to be replaced or cleaned may not be processed in time, affecting the quality of medical services in the hospital. SUMMARY

[0004] The present application provides a medical clothing information tracking method, system, electronic device and storage medium, which can accurately track the relevant information of each medical clothing, and process the medical clothing that needs to be replaced or cleaned in time, thereby improving the quality of medical services in the hospital.

[0005] In a first aspect, the present application provides a medical clothing information tracking method, which comprises:

[0006] Obtaining the identification codes of each medical clothing in a target hospital, obtaining the clothing type and clothing use data corresponding to each medical clothing based on each identification code, and the clothing use data including historical washing records and use duration;

[0007] According to the clothing type and the clothing use data, determining the replacement and washing urgency value of each medical clothing;

[0008] Determining the replacement and washing priority of each medical clothing based on the replacement and washing urgency value, and classifying according to the replacement and washing priority to obtain a classification result;

[0009] According to the classification result, determining the replacement and washing list of each medical clothing, and pushing the replacement and washing list to a medical clothing management center.

[0010] By adopting the technical scheme, the use of each medical clothing can be mastered in real time by acquiring the identification code of each medical clothing and the clothing type and clothing use data corresponding to the identification code; the urgent value of replacement and washing is determined based on the clothing type and clothing use data, and the replacement and washing priority and classification result are further determined, so that the replacement and washing demand of each medical clothing can be accurately evaluated; finally, the replacement and washing list is determined according to the classification result and pushed to the medical clothing management center, so that the hospital can timely and orderly process the medical clothing that needs to be replaced or washed, get rid of the limitations of the fixed cycle processing mode in the traditional technology, realize dynamic tracking and accurate management of the medical clothing information, and enable the medical clothing that needs to be replaced or washed to be processed in time, thereby improving the medical service quality of the hospital.

[0011] In a second aspect of the present application, a medical clothing information tracking system is provided, which comprises:

[0012] A data acquisition module is configured to acquire the identification code of each medical clothing in a target hospital, and acquire the clothing type and clothing use data corresponding to each medical clothing based on each identification code, wherein the clothing use data comprises historical washing records and use duration.

[0013] A replacement and washing value calculation module is configured to determine the replacement and washing urgent value of each medical clothing according to the clothing type and the clothing use data.

[0014] A clothing classification module is configured to determine the replacement and washing priority of each medical clothing based on the replacement and washing urgent value, and classify according to the replacement and washing priority to obtain a classification result.

[0015] An list generation module is configured to determine the replacement and washing list of each medical clothing according to the classification result, and push the replacement and washing list to a medical clothing management center.

[0016] In a third aspect of the present application, a computer storage medium is provided, which stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and performing the method steps described above.

[0017] In a fourth aspect of the present application, an electronic device is provided, which comprises a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and performing the method steps described above.

[0018] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0019] The application can master the use of each medical clothing in real time by acquiring the identification code of each medical clothing and the corresponding clothing type and clothing use data; determine the urgent washing, further determine the washing priority and classification result based on the clothing type and clothing use data, so as to accurately evaluate the washing demand of each medical clothing; finally, determine the washing list according to the classification result and push it to the medical clothing management center, so that the hospital can timely and orderly process the medical clothing that needs to be replaced or cleaned, get rid of the limitations of the fixed cycle processing mode in the traditional technology, realize dynamic tracking and accurate management of medical clothing information, and enable the medical clothing that needs to be replaced or cleaned to be processed in time, thereby improving the medical service quality of the hospital. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 is a flow diagram of a medical clothing information tracking method provided by an embodiment of the application;

[0021] Figure 2 is a module diagram of a medical clothing information tracking system provided by an embodiment of the application;

[0022] Figure 3 is a structural diagram of an electronic device provided by an embodiment of the application.

[0023] Legend of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0024] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in conjunction with the drawings in the embodiments of the specification. Obviously, the described embodiments are only some of the embodiments of the application, not all.

[0025] In the description of the embodiments of the application, the words such as "for example" or "for instance" are used to represent an example, illustration or description. Any embodiment or design scheme described as "for example" or "for instance" in the embodiments of the application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "for example" or "for instance" are intended to present the relevant concept in a specific way.

[0026] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first", "second" are only used for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. The terms "include", "contain", "have" and their variants mean "include but not limited to", unless otherwise specifically emphasized.

[0027] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments.

[0028] Please refer to Figure 1 , a flowchart of a medical clothing information tracking method is specifically proposed, which can be implemented by relying on a computer program, can be implemented by relying on a single-chip microcomputer, and can run on a medical clothing information tracking system. The computer program can be integrated in a computer device, or can run as an independent tool application. Specifically, the method includes steps 10 to 40, and the above steps are as follows:

[0029] Step 10: Obtain the identification code of each medical clothing in the target hospital, obtain the clothing type and clothing use data corresponding to each medical clothing based on each identification code, and the clothing use data includes historical washing records and use duration.

[0030] The medical clothing in the embodiments of the present application refers to working clothes, surgical gowns, hospital gowns and other clothes that need to be uniformly managed and used in the target hospital.

[0031] The identification code in the embodiments of the present application refers to a unique identification code attached to the medical clothing. Each medical clothing corresponds to an identification code, which is used to uniquely identify the medical clothing.

[0032] Specifically, since there are a large number of medical clothes in the hospital that need to be managed, in order to accurately identify and track the use of each medical clothes, the identification code of each medical clothes in the target hospital needs to be obtained first. Specifically, the identification code on the medical clothes can be scanned by a scanning device, and the scanned identification code information is transmitted to the management system of the hospital. When the identification code is obtained, the management system will query the clothes information database of the hospital based on each identification code to obtain the clothes type corresponding to each medical clothes. Among them, the clothes type includes working clothes, surgical clothes, hospital gowns and other different types. At the same time, the management system will also obtain the clothes use data associated with each identification code, including historical washing records and use time. Among them, the historical washing record records the information such as the last washing time and washing method of the medical clothes; the use time is obtained by recording the time of using the medical clothes since the last washing or replacement.

[0033] On the basis of the above embodiment, as an optional embodiment, the step of obtaining the identification code of each medical clothes in the target hospital can further include the following steps:

[0034] Step 1011: Obtain the position information of each RFID reading device, and the RFID reading device is distributed in each preset area or washing area of the target hospital.

[0035] Specifically, in order to realize the automatic information collection of medical clothes, the position information of each RFID reading device needs to be obtained first. As an important device for collecting information of medical clothes, the RFID reading device is distributed and installed in each preset area and washing area of the target hospital. Among them, the preset area includes ward, operating room, doctor's office and other areas, and the washing area includes laundry room and other areas. It should be noted that the washing area can be in the target hospital or a special enterprise for washing medical clothes. The management system establishes a device position database by obtaining the installation position coordinate information of each RFID reading device. For example, the RFID reading device numbered "R001" is installed at the entrance of the third inpatient department on the 5th floor of the operating room, and the specific coordinates are (X1, Y1, Z1).

[0036] Step 1012: Construct an identification collection network based on the position information of each RFID reading device, and detect the RFID tag on the medical clothes in each area through the identification collection network to obtain the RFID tag signal.

[0037] Specifically, the management system constructs a complete identification collection network based on the acquired position information of each RFID reading device. The network forms a comprehensive RFID signal collection system by connecting the RFID reading devices distributed in various areas of the hospital. When a medical garment carrying an RFID tag enters an area, the RFID reading device in the area will automatically emit a radio frequency signal to interact with the RFID tag on the medical garment, thereby detecting the response signal emitted by the RFID tag. The RFID reading device emits a radio frequency signal of a specific frequency, and when the signal induces coupling with the RFID tag, the RFID tag returns the information stored therein to the RFID reading device through a response signal. For example, when a surgical gown with an RFID tag passes through the entrance of an operating room, the RFID reading device installed at the entrance will detect the signal emitted by the RFID tag.

[0038] Step 1013: Decoding the RFID tag signal whose signal is greater than the signal threshold value to obtain the corresponding identification code, and associating and storing the identification code with the position information of the RFID reading device that detected the identification code.

[0039] Specifically, in order to improve the accuracy of information collection, the system will perform signal strength evaluation on the received RFID tag signal. The system pre-sets a signal threshold value, and only when the received RFID tag signal strength is greater than the signal threshold value, the subsequent signal decoding process will be performed. For example, if the signal threshold value is set to -60 dBm, only the RFID tag signal with a signal strength greater than -60 dBm will be accepted and decoded by the system. This signal screening mechanism can effectively filter out signal misreading caused by the RFID tag being too far away from the RFID reading device or signal interference. For RFID tag signals that meet the signal strength requirements, the system will decode and extract the corresponding identification code. Subsequently, the system will associate the decoded identification code with the position information of the RFID reading device that detected the identification code, and store it in the database. For example, the system records that the RFID tag with identification code "A12345" was detected by RFID reading device "R001" located at "the entrance of the operating room on the 5th floor of the third inpatient department" on "February 19, 2025 at 10:30".

[0040] Based on the above embodiment, as an optional embodiment, the step of obtaining the garment type and garment use data corresponding to each medical garment based on each identification code can further include the following steps:

[0041] Step 1021: Matching each identification code with the historical identification codes stored in the garment database of the target hospital.

[0042] Specifically, after obtaining the identification code of the medical clothes, in order to accurately obtain the detailed information of each medical clothes, the system first matches each identification code with the historical identification code stored in the clothes database of the target hospital. That is, the obtained identification code is compared one by one with all the historical identification codes recorded in the clothes database. For example, when the identification code "A12345" is obtained, the system will check whether there is a historical record of the identification code in the clothes database. This matching operation can ensure that the medical clothes corresponding to the obtained identification code exist effectively in the system, and at the same time provide a data association basis for subsequent information extraction.

[0043] Step 1022: Extract the corresponding clothes type from the clothes information database according to the matching result.

[0044] Specifically, for the successfully matched identification code, the system will extract the corresponding clothes type information from the clothes information database according to the matching result. The clothes information database pre-stores the type information of the medical clothes corresponding to each identification code, including work clothes, surgical gowns, hospital gowns and other specific types. For example, when the system queries the identification code "A12345", it can extract the clothes type corresponding to the identification code from the database as "surgical gown", and at the same time obtain the detailed information such as the model and material of the surgical gown.

[0045] Step 1023: Analyze the identification code and determine the historical washing record of each medical clothes based on the analysis result.

[0046] Specifically, the system analyzes the identification code and extracts the historical location information of each medical clothes scanned by different RFID reading devices at different time points. For example, the surgical gown with identification code "A12345" may have the following location information records: 2025-02-01 08:00 in the operating room, 2025-02-01 15:30 in the washing area, 2025-02-01 18:00 in the storage area, 2025-02-02 09:00 in the operating room, etc. These location information forms the complete location trajectory of the medical clothes.

[0047] From these historical location information, the system focuses on the time points when the medical clothes are located in the washing area. The system identifies the records belonging to the washing area in the location information through the pre-set area identification. For example, from the location records of the "A12345" surgical gown mentioned above, the system extracts the time point of 2025-02-01 15:30 located in the washing area. In this way, the system can preliminarily screen out the time records that may be related to washing activities.

[0048] However, since the RFID reading device can read the information of the same piece of clothing multiple times during the medical clothing washing process, resulting in multiple washing area location records in a short period of time. In order to avoid repeated calculation, the system needs to filter these time points. Specifically, the system sets a preset time length (such as 4 hours), and only when the interval between two adjacent washing area time points is greater than the preset time length, these time points are identified as valid washing time points. For example, if the surgical gown "A12345" has washing area location records at 15:30 and 15:45 on February 1, 2025, since the time interval is less than the preset time length, the system only records 15:30 as a valid washing time point. By counting the valid washing time points, the system can obtain the historical washing times of each piece of medical clothing. For example, if the surgical gown "A12345" has 20 valid washing time points recorded in the system, its historical washing times are 20 times. The system combines this washing time with the specific time information of all valid washing time points to form a complete historical washing record of the medical clothing.

[0049] Step 1024: Extract the latest historical washing time point from the historical washing record, and take the interval time length between the current time point and the historical washing time point as the use time length, and take the historical washing record and the use time length as the clothing use data.

[0050] Specifically, in order to evaluate the current use state of the medical clothing, the system will extract the latest historical washing time point from the historical washing record. For example, the system queries that the latest washing time of the surgical gown corresponding to the identification code "A12345" is "February 1, 2025 08:00". The system compares the current time point (such as "February 19, 2025 10:30") with the historical washing time point, calculates the time interval between them, and obtains the use time length of the medical clothing as "18 days 2 hours 30 minutes". The system takes the obtained historical washing record and the calculated use time length as the clothing use data of the medical clothing together, and stores it in the database.

[0051] Step 20: Determine the washing urgency value of each piece of medical clothing according to the clothing type and the clothing use data.

[0052] Specifically, the base wash weight is set according to the type of clothes. Due to the difference in use scenarios and hygiene requirements, different types of medical clothes have different wash needs. For example, the base wash weight of surgical clothes that directly contact patients can be set to 1.5, the base wash weight of work clothes worn by doctors on a daily basis can be set to 1.0, and the base wash weight of patient gowns can be set to 1.2. The base wash weight is dynamically adjusted in combination with the use data of the clothes. Among them, the use time is an important adjustment factor. The system pre-sets the standard use time threshold of different types of medical clothes, and when the actual use time exceeds the threshold, the wash weight will be increased accordingly. For example, if the standard use time of surgical clothes is 48 hours, when the actual use time of a piece of surgical clothes reaches 72 hours, its wash weight will be increased in proportion to the excess time.

[0053] At the same time, the system will also consider the washing frequency information in the historical washing record. If the washing frequency of a piece of medical clothes in the past period of time is significantly higher than the average level of clothes of the same type, it means that the clothes may have special use conditions or quality problems, and the system will increase its wash weight accordingly. For example, if a piece of work clothes is washed 1.5 times the average washing frequency of work clothes of the same type in the past month, its wash weight will be increased accordingly. The wash emergency value of each piece of medical clothes is calculated by comprehensively calculating. The calculation formula is: wash emergency value = base wash weight × (1 + use time adjustment coefficient) × (1 + washing frequency adjustment coefficient). For example, for the surgical clothes with identification code "A12345", the base wash weight is 1.5, the use time exceeds the standard time by 50% to cause the adjustment coefficient to be 0.5, and the historical washing frequency is normal to cause the adjustment coefficient to be 0, then the final wash emergency value of the clothes is: 1.5 × (1 + 0.5) × (1 + 0) = 2.25.

[0054] On the basis of the above embodiment, as another optional embodiment, the step of determining the wash emergency value of each piece of medical clothes according to the type of clothes and the use data of the clothes can further include the following steps:

[0055] Step 201: Construct a state transition matrix of medical clothes, the state transition matrix includes a plurality of state nodes, and each state node corresponds to a different use time interval and a historical washing frequency interval.

[0056] Specifically, in the process of determining the medical clothing more washing emergency value, in order to more scientifically evaluate the state change of medical clothing, the system first constructs the state transition matrix of medical clothing. The state transition matrix contains multiple state nodes, and each node represents the state of the medical clothing under a certain use time interval and a historical washing number interval. For example, the use time can be divided into [0-24h], [24-48h], [48-72h] and other intervals, and the historical washing number can be divided into [0-10 times], [10-20 times], [20-30 times] and other intervals, forming an n*n state transition matrix. Each element in the matrix represents the probability of the medical clothing moving from one state node to another.

[0057] Step 202: obtaining the initial state vector and the target state vector of the corresponding medical clothing based on the clothing type, wherein the initial state vector is generated based on the use time and the historical washing number in the clothing use data.

[0058] Specifically, based on the obtained clothing type, the system sets the corresponding initial state vector and target state vector for each type of medical clothing. The initial state vector is generated according to the actual use time and the historical washing number in the clothing use data. For example, for a surgical gown with a use time of 36 hours and a historical washing number of 15 times, its initial state vector may represent the probability distribution on the state nodes in the [24-48h] and [10-20 times] intervals. The target state vector represents the ideal use state of the medical clothing of this type, such as the target state of the surgical gown may be the state with use time in the [0-24h] interval and moderate washing number.

[0059] Step 203: calculating the number of state transitions of the initial state vector through the state transition matrix until the target state vector is reached.

[0060] Specifically, the system records the number of state transitions required to reach the target state vector by iteratively calculating the transition process of the initial state vector on the state transition matrix. The system left multiplies the state transition matrix with the initial state vector, and obtains a new state vector in each iteration until the difference between the vector and the target state vector is less than a preset threshold. For example, if a surgical gown reaches the target state after 3 state transitions, the number of state transitions is recorded as 3.

[0061] Step 204: obtaining the maximum washing number threshold corresponding to the clothing type, and determining the more washing instruction parameter based on the historical washing number and the maximum washing number threshold.

[0062] Specifically, the corresponding maximum washing number threshold value is obtained according to the type of the clothes, which represents the maximum washing number that the medical clothes can withstand under the premise of ensuring safety and hygiene. The system compares the actual historical washing number of the medical clothes with the maximum washing number threshold value to generate a replacement indication parameter. For example, when the historical washing number is close to 80% of the maximum washing number threshold value, the replacement indication parameter may indicate "need to replace"; when the historical washing number is less than 50% of the threshold value, the replacement indication parameter may indicate "normal cleaning".

[0063] Step 205: Taking the difference between the state transition number and the preset transition number as the basic emergency degree, and combining the basic emergency degree and the replacement indication parameter to generate a two-dimensional replacement emergency value, wherein the replacement indication parameter is used to represent the replacement processing mode of the medical clothes.

[0064] Specifically, the actual state transition number is compared with the preset transition number. For example, if the state transition number of a piece of medical clothes is 4 times, and the preset transition number is 2 times, then the basic emergency degree is 4-2=2, indicating that the use state of the medical clothes deviates significantly from the ideal state, and has a higher replacement emergency degree. For the determination of the replacement indication parameter, the system mainly judges based on the ratio of the historical washing number of the medical clothes to the maximum washing number threshold value. The replacement indication parameter is used to indicate the specific processing mode of the medical clothes, which is divided into "washing" and "replacement". The specific judgment rules are as follows: when the ratio of the historical washing number to the maximum washing number threshold value is less than 80%, the replacement indication parameter is set to "washing", indicating that the medical clothes can still be used by cleaning. For example, if the maximum washing number threshold value of a surgical gown is 100 times, and the current historical washing number is 60 times, the ratio is 60%, and the replacement indication parameter will be set to "washing". When the ratio of the historical washing number to the maximum washing number threshold value is greater than or equal to 80%, the replacement indication parameter is set to "replacement", indicating that the medical clothes is close to the limit of service life and needs to be replaced with a new one. For example, if the maximum washing number threshold value of a work uniform is 80 times, and the current historical washing number is 68 times, the ratio is 85%, and the replacement indication parameter will be set to "replacement". The basic emergency degree and the replacement indication parameter are combined into a two-dimensional replacement emergency value, represented as (basic emergency degree, replacement indication parameter), for example: when the basic emergency degree of a piece of medical clothes is 2, and the historical washing number is 60 times (less than 80% of the threshold value), its two-dimensional replacement emergency value is represented as (2, washing); when the basic emergency degree of a piece of medical clothes is 1, and the historical washing number is 85 times (more than 80% of the threshold value), its two-dimensional replacement emergency value is represented as (1, replacement).

[0065] Step 30: determining the replacement priority of each piece of medical clothes based on the replacement emergency value, and classifying according to the replacement priority to obtain a classification result.

[0066] Specifically, after obtaining the two-dimensional more washing emergency value of the medical clothes, in order to realize the orderly progress of the more washing processing of the medical clothes, the system needs to determine the more washing priority of each medical clothes based on the more washing emergency value. Since the more washing emergency value contains two dimensions of basic emergency degree and more washing indication parameter, the system adopts a multi-level priority division method. First, the first level of priority division is carried out based on the more washing indication parameter. The more washing priority of the medical clothes with the more washing indication parameter of "replace" is higher than that of the medical clothes with the more washing indication parameter of "wash". This is because the medical clothes that need to be replaced are usually close to the limit of their service life, and continued use may have safety hazards. For example, when the system detects that in a batch of medical clothes, 10 pieces have the more washing indication parameter of "replace" and 15 pieces have the more washing indication parameter of "wash", the system will preferentially process the 10 pieces of medical clothes that need to be replaced. Among the medical clothes with the same more washing indication parameter, the system further carries out the second level of priority division according to the basic emergency degree. The higher the basic emergency degree, the more the current state of the medical clothes deviates from the ideal state, and the higher the more washing priority. For example, among the medical clothes with the more washing indication parameter of "wash", the medical clothes with the basic emergency degree of 3 will be preferentially processed than the medical clothes with the basic emergency degree of 1.

[0067] On the basis of the above-mentioned embodiments, as another optional embodiment, the step of determining the more washing priority of each medical clothes based on the more washing emergency value and classifying according to the more washing priority to obtain the classification result can further include the following steps:

[0068] Step 301: constructing a feature vector of the medical clothes, the feature vector including the basic emergency degree, the more washing indication parameter and the associated features of the clothes type in the more washing emergency value.

[0069] Specifically, in order to scientifically classify and manage the medical clothes, the system first constructs a feature vector of the medical clothes. The feature vector contains three key dimensions: basic emergency degree, more washing indication parameter and associated features of clothes type. Among them, the basic emergency degree is represented by a numerical value, for example, the value range is 0-5; the more washing indication parameter can be quantified as a binary feature, "replace" is recorded as 1 and "wash" is recorded as 0; the associated features of clothes type consider the importance of different types of medical clothes, for example, the associated feature value of surgical gown may be 1.5 and that of ordinary working clothes may be 1.0. For example, for a surgical gown with an identification code of "A12345", its feature vector may be represented as (3, 1, 1.5), indicating that its basic emergency degree is 3, it needs to be replaced (the more washing indication parameter is 1), and as a surgical gown, its associated feature value is 1.5. This multi-dimensional feature vector construction method can comprehensively reflect the more washing demand characteristics of the medical clothes.

[0070] Step 302: carrying out cluster analysis on the feature vector by using a density clustering algorithm to obtain a plurality of medical clothes clusters.

[0071] Specifically, based on the constructed feature vectors, the system adopts a density clustering algorithm (such as DBSCAN algorithm) to perform clustering analysis on the medical clothes. The advantage of the density clustering algorithm is that it does not need to specify the number of clusters in advance, and it can identify clusters of arbitrary shape. By setting a suitable neighborhood radius (such as ε = 0.5) and minimum sample size (such as MinPts = 4), the system divides the medical clothes with similar density in the feature space into the same cluster. For example, the system may divide medical clothes with similar basic emergency degree, the same wash indicator parameter, and similar clothing type into a medical clothes cluster.

[0072] Step 303: Calculate the cluster center distance of each medical clothes cluster, and prioritize each medical clothes cluster based on the cluster center distance.

[0073] Specifically, for each medical clothes cluster formed, the system calculates the cluster center position and the distance between the cluster centers. The cluster center represents the average value of the feature vectors of all medical clothes in the cluster. For example, if a medical clothes cluster contains 5 clothes, and their average feature vector is (2.8, 1, 1.4), then this vector is the cluster center of the cluster. The system calculates the Euclidean distance from each cluster center to the origin, and the greater the distance, the more urgent the overall wash demand of the medical clothes in the cluster. Based on these distance values, the system prioritizes the medical clothes clusters.

[0074] Step 304: Divide the medical clothes into a clothes replacement group and / or a clothes washing group according to the numerical interval of the wash indicator parameter, and classify the clothes replacement group and / or the clothes washing group based on the priority ranking result to obtain a classification result.

[0075] Specifically, after clustering and priority ranking are completed, the system divides the medical clothes into a clothes replacement group and a clothes washing group according to the numerical value of the wash indicator parameter. Medical clothes with a wash indicator parameter of 1 enter the clothes replacement group, and those with a wash indicator parameter of 0 enter the clothes washing group. Within each group, the system further classifies according to the priority ranking result obtained earlier.

[0076] For example, the clothes replacement group may be divided into a special urgent replacement category: from the highest priority medical clothes cluster; an urgent replacement category: from the second highest priority medical clothes cluster; and a regular replacement category: from a lower priority medical clothes cluster. The clothes washing group may be divided into a special urgent washing category: from a higher priority medical clothes cluster; and a regular washing category: from a lower priority medical clothes cluster.

[0077] Step 40: Determine the wash list of each medical clothes according to the classification result, and push the wash list to the medical clothes management center.

[0078] Specifically, the structured replacement list is generated according to the classification results, and the information items of each medical clothing in the list include: identification code, clothing type, current location, basic emergency degree, replacement indication parameter, belonging classification category (such as special replacement category, emergency replacement category, special washing category or regular washing category), and historical washing frequency. For example, for the surgical gown with identification code "A12345", the list information may be: identification code A12345, clothing type: surgical gown, current location: surgical ward, basic emergency degree: 3, replacement indication parameter: replacement, classification category: special replacement category, and historical washing frequency: 85 times.

[0079] In order to facilitate the work arrangement of the medical clothing management center, the system groups and arranges the replacement list according to the processing category and priority. First, the replacement list is arranged in the order of special replacement category, emergency replacement category and regular replacement category; second, the washing list is arranged in the order of special washing category and regular washing category. Within each category, the system also performs secondary sorting based on the basic emergency degree to ensure that medical clothing with higher emergency degree is processed first.

[0080] In addition, in order to improve the efficiency and accuracy of information transmission, the system uses a data push mechanism to send the replacement list to the information system of the medical clothing management center in real time. The pushed data includes two levels: one is the overall statistical information, such as the number of medical clothing in each category (for example: 15 pieces of special replacement category, 25 pieces of emergency replacement category, 30 pieces of special washing category, and 50 pieces of regular washing category); the other is the detailed list of clothing information, which shows the specific information of each medical clothing according to the processing category. The push mechanism designs a confirmation feedback mechanism, and the medical clothing management center needs to confirm the received replacement list. The system monitors the confirmation state in real time, and if no confirmation feedback is received within a preset time (such as 30 minutes), an automatic reminder notification will be sent. At the same time, the system supports the medical clothing management center to mark the list according to the actual processing capacity, such as "arranged for processing", "to be processed", "delayed processing" and the like.

[0081] In order to ensure the traceability of replacement processing, the system records the execution state of the replacement list. When the medical clothing management center completes the replacement processing of a piece of medical clothing, it needs to be confirmed in the system, and the system will automatically update the historical washing record or replacement record of the clothing. For example, when the surgical gown with identification code "A12345" is replaced, the system will archive its historical record, and generate a new identification code and initial record for the newly replaced surgical gown.

[0082] On the basis of the above embodiment, as another optional embodiment, the step of determining the replacement list of each medical clothing according to the classification results and pushing the replacement list to the medical clothing management center can further include the following steps:

[0083] Step 401: Obtain new clothing inventory from the medical clothing management center, and determine the new clothing corresponding to each medical clothing in the clothing replacement group in the new clothing inventory according to the identification code, clothing type and priority of the medical clothing in the clothing replacement group in the classification result, and generate a one-to-one replacement pairing list.

[0084] Specifically, the new clothing inventory information of the medical clothing management center is obtained in real time through the data interface, including the available quantity, specification and model of each type of medical clothing. For example, the system may obtain specific data such as 50 pieces of surgical clothing inventory and 100 pieces of workwear inventory. For the medical clothing in the clothing replacement group, the system needs to find suitable replacement clothing in the new clothing inventory. The system first reads the identification code, clothing type and priority information of the medical clothing to be replaced, and then searches for clothing of the same type in the new clothing inventory. For example, for the surgical clothing of the "urgent replacement" type with the identification code "A12345", the system will search for unused surgical clothing in the new clothing inventory and select one as its replacement clothing. The system records the information of the old clothing and the corresponding new clothing in the replacement pairing list, including the old clothing identification code, the new clothing identification code, the clothing type, the replacement priority, the location, etc. This one-to-one pairing method ensures the accuracy and traceability of the replacement process.

[0085] Step 402: Classify medical clothing with the same priority and clothing type in the clothing washing group in the classification result into the same washing batch, and generate a batch recovery list based on the washing batch.

[0086] Specifically, for the medical clothing in the clothing washing group, the system uses batch processing to improve washing efficiency. The system classifies medical clothing with the same priority and clothing type into the same washing batch. For example, 10 pieces of surgical clothing with the same "urgent washing" priority are classified into a washing batch, marked as "batch number: WB20250219-001". Based on these batch information, the system generates a batch recovery list, which contains the batch number, clothing type, list of clothing identification codes, priority, etc. This batch processing method not only improves the washing efficiency, but also facilitates subsequent clothing recovery and distribution management.

[0087] Step 403: Take the replacement pairing list and / or batch recovery list as the washing list.

[0088] Specifically, the replacement pairing list and the batch recovery list are integrated into a complete replacement list. The structure design of the replacement list reflects two different processing methods: the replacement pairing list part shows the medical clothes to be replaced and the corresponding new clothes information in a one-to-one manner; the batch recovery list part shows the medical clothes group to be washed in a batch manner. For example: the replacement pairing part may include the following information: old clothes A12345 (surgical gown) → new clothes N78901 (surgical gown), special urgent replacement type, old clothes A12346 (work clothes) → new clothes N78902 (work clothes), urgent replacement type. The batch recovery part may include the following information: batch number WB20250219-001: surgical gown for special urgent washing, including identification codes B12345, B12346, etc. 10 pieces. Batch number WB20250219-002: work clothes for regular washing, including identification codes C12345, C12346, etc. 15 pieces.

[0089] Please refer to Figure 2 A module schematic diagram of an information tracking system of medical clothes provided for an embodiment of the present application, wherein the system comprises:

[0090] A data acquisition module, configured to acquire identification codes of medical clothes in a target hospital, acquire corresponding clothes types and clothes use data of the medical clothes based on the identification codes, and the clothes use data includes historical washing records and use duration;

[0091] A replacement value calculation module, configured to determine replacement emergency values of the medical clothes according to the clothes types and the clothes use data;

[0092] A clothes classification module, configured to determine replacement priorities of the medical clothes based on the replacement emergency values, and classify according to the replacement priorities to obtain a classification result;

[0093] A list generation module, configured to determine a replacement list of the medical clothes according to the classification result, and push the replacement list to a medical clothes management center.

[0094] Optionally, the data acquisition module is further configured to acquire position information of each RFID reading device, and the RFID reading devices are distributed in each preset area or a washing area of the medical clothes in the target hospital;

[0095] An identification collection network is constructed based on the position information of each RFID reading device, and RFID tag signals are obtained by detecting RFID tags on the medical clothes in each area through the identification collection network;

[0096] Decoding the RFID tag signal whose signal is greater than the signal threshold value to obtain a corresponding identification code, and storing the identification code in association with position information of an RFID reading device that detects the identification code.

[0097] Optionally, the data acquisition module is further configured to match each of the identification codes with historical identification codes stored in a clothing database of the target hospital.

[0098] According to the matching result, extract a corresponding clothing type from the clothing information database.

[0099] Parse the identification code, and determine a historical washing record of each medical clothing based on a parsing result.

[0100] Extract a latest historical washing time point from the historical washing record, take an interval length between a current time point and the historical washing time point as a use duration, and take the historical washing record and the use duration as clothing use data.

[0101] Optionally, the data acquisition module is further configured to parse the identification code to obtain a plurality of historical position information of an RFID reading device corresponding to each of the identification codes.

[0102] Extract a time point at which the medical clothing is located in a washing area from each of the historical position information.

[0103] Filter the time point, and determine a time point at which a time interval between adjacent time points is greater than a preset length as an effective washing time point.

[0104] Statistically obtain a historical washing number of each medical clothing according to the number of the effective washing time points.

[0105] Combine the historical washing number and each of the effective washing time points to form a historical washing record.

[0106] Optionally, the washing value calculation module is further configured to construct a state transition matrix of the medical clothing, the state transition matrix comprising a plurality of state nodes, each of the state nodes corresponding to a different use duration interval and a historical washing number interval.

[0107] Obtain an initial state vector and a target state vector of the corresponding medical clothing based on the clothing type, wherein the initial state vector is generated based on the use duration and the historical washing number in the clothing use data.

[0108] Calculate a state transition number of the initial state vector through the state transition matrix until the target state vector is reached.

[0109] acquire a maximum washing times threshold corresponding to the clothing type, and determine a more washing instruction parameter based on the historical washing times and the maximum washing times threshold;

[0110] take the difference between the state transition times and the preset transition times as a basic emergency degree, and combine the basic emergency degree and the more washing instruction parameter to generate a two-dimensional more washing emergency value, wherein the more washing instruction parameter is used to represent the more washing processing mode of the medical clothing.

[0111] Optionally, the clothing classification module is further configured to construct a feature vector of the medical clothing, the feature vector comprising the basic emergency degree in the more washing emergency value, the more washing instruction parameter, and the associated features of the clothing type;

[0112] perform clustering analysis on the feature vector by using a density clustering algorithm to obtain a plurality of medical clothing clusters;

[0113] calculate a cluster center distance of each of the medical clothing clusters, and perform priority ranking on each of the medical clothing clusters based on the cluster center distance;

[0114] divide the medical clothing into a clothing replacement group and / or a clothing washing group according to a numerical interval of the more washing instruction parameter, and classify the clothing replacement group and / or the clothing washing group based on the priority ranking result to obtain a classification result.

[0115] Optionally, the list generation module is further configured to acquire a new clothing inventory from a medical clothing management center, determine new clothing corresponding to each medical clothing in the clothing replacement group from the new clothing inventory according to the identification code, the clothing type, and the priority of the medical clothing in the clothing replacement group in the classification result, and generate a one-to-one replacement pairing list.

[0116] classify the medical clothing with the same priority and the same clothing type in the clothing washing group in the classification result into the same washing batch, and generate a batch recovery list based on the washing batch;

[0117] take the replacement pairing list and / or the batch recovery list as a more washing list.

[0118] It should be noted that the system provided in the above embodiments only takes the division of the above functional modules as an example when realizing its functions, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be repeated here.

[0119] The embodiment of the present application further provides a computer storage medium, which can store a plurality of instructions, the instructions being suitable for being loaded by a processor and performing the information tracking method of the medical clothes provided in the above embodiment, and the specific execution process can be referred to the specific description of the above embodiment, which will not be repeated here.

[0120] Please refer to Figure 3 The present application further discloses an electronic device. Figure 3 is a structural schematic diagram of an electronic device disclosed by the embodiment of the present application. The electronic device 300 can include at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0121] The communication bus 302 is configured to realize the connection and communication between the components.

[0122] The user interface 303 can include a display screen (Display) and a camera (Camera), and the optional user interface 303 can further include a standard wired interface and a wireless interface.

[0123] The network interface 304 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0124] The processor 301 can include one or more processing cores. The processor 301 connects various parts in the server through various interfaces and lines, executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be realized in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 301 can be integrated with a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU is mainly used to process an operating system, a user interface, and an application program; the GPU is used to render and draw the content to be displayed on the display screen; and the modem is used to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 301, but can be realized by a separate chip.

[0125] The memory 305 can include a random access memory (RAM) and can also include a read-only memory (ROM). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 305 can include a program storage area and a data storage area, where the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, etc.; and the data storage area can store data involved in the various method embodiments described above, etc. The memory 305 can also be at least one storage device located away from the aforementioned processor 301. Referring to Figure 3 , the memory 305 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of the information tracking method of the medical clothing.

[0126] In Figure 3 , the user interface 303 is mainly used to provide an interface for user input and obtain data input by the user; and the processor 301 can be used to call the application program of the information tracking method of the medical clothing stored in the memory 305, and when executed by one or more processors 301, the electronic device 300 performs the method of one or more of the above embodiments. It should be noted that, for the above-mentioned method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the application is not limited by the described action sequence, because according to the application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the application.

[0127] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0128] In several embodiments provided in the present application, it should be understood that the disclosed apparatus can be implemented in other manners. For example, the division of the apparatus embodiments is merely illustrative, and the division of units can be changed according to actual conditions, such as a combination or integration of some units, or a deletion of some features, or an addition of some features. In addition, the coupling or direct coupling or communication connection between the shown or discussed units can be indirect coupling or communication connection through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0129] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one place or distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0130] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0131] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable memory. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product, which is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned memory includes: U disk, mobile hard disk, magnetic disk or optical disk, and various media that can store program codes.

[0132] The above are only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the true principles of the present disclosure.

[0133] The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for tracking information of medical clothing, characterized in that the method include: Obtaining identification codes for each medical garment in the target hospital, and obtaining clothing types and clothing usage data corresponding to each medical garment based on the identification codes, wherein the clothing usage data includes historical washing records and usage duration; determining a washing urgency value for each medical garment according to the garment type and the garment usage data; determining a washing priority of each of the medical garments based on the washing urgency value, and classifying the medical garments according to the washing priority to obtain a classification result; Determining a laundry list for each medical garment according to the classification results, and pushing the laundry list to a medical garment management center; Wherein, determining the washing urgency value of each medical garment according to the garment type and the garment usage data includes: Constructing a state transition matrix for medical clothing, wherein the state transition matrix includes a plurality of state nodes, each state node corresponding to a different usage time interval and historical washing number interval; Acquire an initial state vector and a target state vector of the corresponding medical clothing based on the clothing type, wherein the initial state vector is generated based on the usage duration and the number of historical washes in the clothing usage data; Calculating the number of state transitions of the initial state vector through the state transition matrix until the target state vector is reached; Obtaining a maximum wash count threshold corresponding to the clothing type, and determining a wash change indication parameter based on the historical wash count and the maximum wash count threshold; The difference between the state transition count and the preset transition count is used as a basic urgency, and the basic urgency is combined with the washing indication parameter to generate a two-dimensional washing urgency value, wherein the washing indication parameter is used to characterize the washing treatment mode of the medical clothing; The step of determining the washing priority of each medical garment based on the washing urgency value and classifying the medical garments according to the washing priority to obtain a classification result includes: Constructing a feature vector of the medical clothing, the feature vector including the basic urgency of the washing urgency value, the washing indication parameter, and the associated features of the clothing type; Performing cluster analysis on the feature vectors using a density clustering algorithm to obtain multiple medical clothing clusters; Calculating the cluster center distance of each of the medical clothing clusters, and prioritizing each of the medical clothing clusters based on the cluster center distance; The medical clothing is divided into clothing changing groups and / or clothing washing groups according to the numerical range of the washing indication parameter, and the clothing changing groups and / or clothing washing groups are classified based on the priority sorting result to obtain a classification result.

2. The information tracking method of medical garments according to claim 1, characterized by, The step of obtaining the identification code of each medical garment in the target hospital includes: Obtaining location information of each RFID reading device, wherein the RFID reading devices are distributed in each preset area of ​​the target hospital or the washing area of ​​medical clothing; Building an identification acquisition network based on the location information of each of the RFID reading devices, and detecting the RFID tags on the medical clothing within each of the areas through the identification acquisition network to obtain RFID tag signals; Decoding the RFID tag signal whose signal is greater than the signal threshold value to obtain a corresponding identification code, and storing the identification code in association with position information of an RFID reading device that detects the identification code.

3. The information tracking method of medical garments according to claim 1, characterized by, The garment type and garment use data corresponding to each medical garment are obtained based on each identification code, including: Each identification code is matched with historical identification codes stored in a garment database of the target hospital; According to the matching result, the corresponding garment type is extracted from the garment database; The identification code is parsed, and historical washing records of each medical garment are determined based on the parsing result; The latest historical washing time point is extracted from the historical washing records, the interval time length between the current time point and the historical washing time point is taken as the use time length, and the historical washing records and the use time length are taken as the garment use data.

4. The information tracking method of medical garments according to claim 3, characterized by, The identification code is parsed, and historical washing records of each medical garment are determined based on the parsing result, including: The identification code is parsed to obtain multiple historical position information of the RFID reading device corresponding to each identification code; From each historical position information, a time point at which the medical garment is located in the washing area is extracted; The time points are filtered, and the time points between adjacent time points with a time interval greater than a preset time length are determined as effective washing time points; The number of effective washing time points of each medical garment is counted to obtain the historical washing frequency; The historical washing frequency and each effective washing time point form a historical washing record.

5. The information tracking method of medical garments according to claim 1, characterized by, According to the classification result, a replacement list of each medical garment is determined, including: From the new garment inventory of the medical garment management center, according to the identification code, garment type and priority of the medical garment in the garment replacement group in the classification result, the new garment corresponding to each medical garment in the garment replacement group is determined in the new garment inventory, and a one-to-one replacement pairing list is generated; Medical garments with the same priority and the same garment type in the garment washing group in the classification result are classified into the same washing batch, and a batch recovery list is generated based on the washing batch; The replacement pairing list and / or batch recovery list are taken as the replacement list.

6. An information tracking system for medical garments, characterized by The system for implementing the medical garment information tracking method of claim 1 includes: A data acquisition module is configured to acquire identification codes of medical garments in a target hospital, and obtain garment types and garment use data corresponding to each medical garment based on each identification code, wherein the garment use data includes historical washing records and use time length; A replacement value calculation module is configured to determine replacement urgency values of each medical garment according to the garment type and the garment use data; A garment classification module is configured to determine replacement priority of each medical garment based on the replacement urgency value, and classify each medical garment according to the replacement priority to obtain a classification result; An list generation module is configured to determine a replacement list of each medical garment according to the classification result, and push the replacement list to a medical garment management center.

7. A computer readable storage medium characterized in that, A computer readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded and executed by a processor to implement the method of any one of claims 1-5.

8. An electronic device, comprising: The electronic device comprises a processor, a memory, a user interface and a network interface. The memory is configured to store instructions. The user interface and the network interface are configured to communicate with other devices. The processor is configured to execute the instructions stored in the memory, so that the electronic device performs the method of any one of claims 1-5.

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