Medical clothing information tracking method and system, electronic equipment and storage medium

Abstract

The invention discloses a medical clothing information tracking method and system, electronic equipment and a storage medium, and relates to the technical field of information tracking. The method comprises the steps that identification codes of all medical clothes in a target hospital are obtained, clothes types and clothes use data corresponding to all the medical clothes are obtained based on all the identification codes, and the clothes use data comprise historical washing records and use duration; determining a washing emergency value of each piece of medical clothes according to the clothes type and the clothes use data; determining the washing priority of each piece of medical clothes based on the washing emergency value, and performing classification according to the washing priority to obtain a classification result; and determining a washing list of each medical clothing according to a classification result, and pushing the washing list to a medical clothing management center. By implementing the technical scheme provided by the invention, the related information of each piece of medical clothes can be accurately tracked, and the medical clothes needing to be replaced or cleaned are treated in time, so that the medical service quality of a hospital is improved.

Description

Technical Field

[0001] This application relates to the field of information tracking technology, and particularly to an information tracking method, system, electronic device and storage medium for medical clothing. Background Art

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

[0003] Currently, hospitals usually replace or wash medical clothing in a fixed-cycle manner. For example, a certain area or a certain type of medical clothing is uniformly recycled and processed at fixed intervals. However, due to the large number of hospital staff and the differences in the usage frequency and intensity of medical clothing in each department, the fixed-cycle processing method is likely to lead to chaos in the replacement of medical clothing and the inability to timely track the relevant information of each piece of medical clothing, resulting in the situation that the medical clothing that needs to be replaced or washed may not be processed in a timely manner, affecting the quality of medical services in the hospital. Summary of the Invention

[0004] This application provides an information tracking method, system, electronic device and storage medium for medical clothing, which can accurately track the relevant information of each piece of medical clothing and timely process the medical clothing that needs to be replaced or washed, thereby improving the quality of medical services in the hospital.

[0005] In a first aspect, this application provides an information tracking method for medical clothing, the method comprising: Obtaining the identification codes of each piece of medical clothing in the target hospital, and based on each of the identification codes, obtaining the clothing type and clothing usage data corresponding to each piece of medical clothing, the clothing usage data including historical washing records and usage duration; Determining the replacement and washing urgency value of each piece of medical clothing according to the clothing type and the clothing usage data; Determining the replacement and washing priority of each piece of medical clothing based on the replacement and washing urgency value, and classifying according to the replacement and washing priority to obtain a classification result; Determining the replacement and washing list of each piece of medical clothing according to the classification result, and pushing the replacement and washing list to the medical clothing management center.

[0006] By adopting the above technical solution, by obtaining the identification codes of each medical garment and their corresponding garment types and garment usage data, the usage situation of each medical garment can be grasped in real time; then, based on the garment type and the garment usage data, the laundering urgency value is determined, and further the laundering priority and the classification result are determined, so that the laundering requirements of each medical garment can be accurately evaluated; finally, according to the classification result, the laundering list is determined and pushed to the medical garment management center, enabling the hospital to process the medical garments that need to be replaced or laundered in a timely and orderly manner, getting rid of the limitations of the fixed-cycle processing method in the traditional technology, realizing the dynamic tracking and precise management of medical garment information, enabling the timely processing of the medical garments that need to be replaced or laundered, and thus improving the medical service quality of the hospital.

[0007] In the second aspect of the present application, an information tracking system for medical garments is provided. The system includes: A data acquisition module, configured to acquire the identification codes of each medical garment in a target hospital, and based on each of the identification codes, acquire the corresponding garment type and garment usage data of each medical garment, where the garment usage data includes historical washing records and usage duration; A laundering value calculation module, configured to determine the laundering urgency value of each medical garment according to the garment type and the garment usage data; A garment classification module, configured to determine the laundering priority of each medical garment based on the laundering urgency value, and classify according to the laundering priority to obtain a classification result; A list generation module, configured to determine the laundering list of each medical garment according to the classification result, and push the laundering list to the medical garment management center.

[0008] In the third aspect of the present application, a computer storage medium is provided. The computer storage medium stores multiple instructions, and the instructions are suitable for being loaded and executed by a processor to perform the above method steps.

[0009] In the fourth aspect of the present application, an electronic device is provided, including: a processor and a memory; wherein, the memory stores a computer program, and the computer program is suitable for being loaded and executed by the processor to perform the above method steps.

[0010] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: By obtaining the identification codes of each medical garment, as well as their corresponding garment types and garment usage data, this application can keep track of the usage status of each medical garment in real time. Then, based on the garment type and garment usage data, the laundering urgency value is determined, and further the laundering priority and classification result are determined, so that the laundering requirements of each medical garment can be accurately evaluated. Finally, according to the classification result, the laundering list is determined and pushed to the medical garment management center, enabling the hospital to process the medical garments that need to be replaced or laundered in a timely and orderly manner, getting rid of the limitations of the fixed-cycle processing method in the traditional technology, realizing the dynamic tracking and precise management of medical garment information, and enabling the timely processing of medical garments that need to be replaced or laundered, thereby improving the medical service quality of the hospital. Description of the Drawings

[0011] Figure 1 is a schematic flowchart of a method for tracking the information of medical garments provided by an embodiment of this application; Figure 2 is a schematic block diagram of a system for tracking the information of medical garments provided by an embodiment of this application; Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of this application.

[0012] Description of the reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. Detailed Embodiments

[0013] In order to enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments.

[0014] In the description of the embodiments of this application, words such as "for example" or "for illustration" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "for example" or "for illustration" in the embodiments of this application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, using words such as "for example" or "for illustration" aims to present relevant concepts in a specific manner.

[0015] In the description of the embodiments of the present application, the term "plural" means two or more. For example, plural systems refer to two or more systems, and plural screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "include", "comprise", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0016] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0017] Please refer to Figure 1 , and a flowchart of a method for tracking information of medical clothing is specifically proposed. This method can be implemented depending on a computer program, can be implemented depending on a single-chip microcomputer, or can run on a system for tracking information of medical clothing. This computer program can be integrated in a computer device or can run as an independent tool-type application. Specifically, this method includes steps 10 to 40, and the above steps are as follows: Step 10: Obtain the identification codes of each piece of medical clothing in the target hospital, and based on each identification code, obtain the clothing type and clothing usage data corresponding to each piece of medical clothing. The clothing usage data includes historical washing records and usage duration.

[0018] In the embodiments of the present application, medical clothing refers to clothing such as work clothes, surgical gowns, and hospital gowns that need to be uniformly managed and used in the target hospital.

[0019] In the embodiments of the present application, the identification code refers to a unique identification code attached to the medical clothing. Each piece of medical clothing corresponds to an identification code, which is used to uniquely identify the medical clothing.

[0020] Specifically, since there are a large number of medical clothes to be managed in the hospital, in order to accurately identify and track the usage of each medical cloth, it is first necessary to obtain the identification codes of each medical cloth in the target hospital. Specifically, the identification codes on the medical clothes can be scanned by a scanning device, and the scanned identification code information is transmitted to the hospital's management system. After obtaining the identification codes, the management system queries the hospital's clothing information database based on each identification code to obtain the clothing type corresponding to each medical cloth. Among them, the clothing types include different types such as work clothes, surgical gowns, and hospital gowns. At the same time, the management system also obtains the clothing usage data associated with each identification code, including historical washing records and usage duration. Among them, the historical washing records record information such as the previous washing time and washing method of the medical cloth; the usage duration is obtained by recording the time when the medical cloth starts to be used after the last washing or replacement, and calculating the current usage duration data.

[0021] Based on the above embodiments, as an alternative embodiment, the step of obtaining the identification codes of each medical cloth in the target hospital may further include the following steps: Step 1011: Obtain the location information of each RFID reading device, and the RFID reading devices are distributed in each preset area or the washing area of the medical clothes in the target hospital.

[0022] Specifically, in order to achieve automatic information collection of medical clothes, it is first necessary to obtain the location information of each RFID reading device. As an important device for collecting medical clothing information, RFID reading devices are distributed and installed in each preset area and washing area of the target hospital. Among them, the preset areas include areas such as wards, operating rooms, and doctor's offices, and the washing areas include areas such as laundry rooms. It should be noted that the washing area can be within the target hospital or an outsourcing enterprise that specializes in washing medical clothes. The management system establishes a device location database by obtaining the installation location coordinate information of each RFID reading device. For example, the RFID reading device numbered "R001" is installed at the "entrance of the operating room on the 5th floor of the Third Inpatient Department", and the specific coordinates are (X1, Y1, Z1).

[0023] Step 1012: Construct an identification collection network based on the location information of each RFID reading device, and detect the RFID tags on the medical clothes in each area through the identification collection network to obtain RFID tag signals.

[0024] Specifically, based on the location information of each RFID reading device obtained, the management system constructs a complete identification collection network. This network forms a comprehensive RFID signal collection system by systematically connecting the RFID reading devices distributed in various areas of the hospital. When a medical garment with an RFID tag enters a certain area, the RFID reading device in that area automatically emits a radio frequency signal to interact with the RFID tag on the medical garment, thereby detecting the response signal sent by the RFID tag. The RFID reading device emits a radio frequency signal at a specific frequency. When the signal induces coupling with the RFID tag, the RFID tag returns the information it stores to the RFID reading device through the response signal. For example, when a surgical gown with an RFID tag passes through the entrance of the operating room, the RFID reading device installed at the entrance detects the signal sent by the RFID tag.

[0025] Step 1013: Decode the RFID tag signals with a signal strength greater than the signal threshold to obtain the corresponding identification codes, and associate and store the identification codes with the location information of the RFID reading devices that detected the identification codes.

[0026] Specifically, to improve the accuracy of information collection, the system evaluates the signal strength of the received RFID tag signals. The system pre-sets a signal threshold. Only when the received RFID tag signal strength is greater than this signal threshold will subsequent signal decoding processing be carried out. For example, if the signal threshold is set to -60 dBm, only RFID tag signals 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 from the RFID reading device or signal interference. For RFID tag signals that meet the signal strength requirements, the system decodes them to extract the corresponding identification codes. Subsequently, the system establishes an association relationship between the decoded identification codes and the location information of the RFID reading devices that detected these identification codes and stores them in the database. For example, the system records that the RFID tag with the identification code "A12345" was detected by the RFID reading device "R001" at the entrance of the operating room on the 5th floor of the Third Inpatient Department at "10:30 on February 19, 2025".

[0027] Based on the above embodiments, as an alternative embodiment, the step of obtaining the clothing type and clothing usage data corresponding to each medical garment based on each identification code may further include the following steps: Step 1021: Match each identification code with the historical identification codes stored in the clothing database of the target hospital.

[0028] Specifically, after obtaining the identification code of the medical clothing, in order to accurately obtain the detailed information of each piece of medical clothing, the system first matches each identification code with the historical identification codes stored in the clothing database of the target hospital. That is, it compares the obtained identification code with all the historical identification codes recorded in the clothing database one by one. For example, when the identification code "A12345" is obtained, the system will search in the clothing database to check if there is a historical record of this identification code. This matching operation can ensure the effective existence of the medical clothing corresponding to the obtained identification code in the system and provide a data association basis for subsequent information extraction.

[0029] Step 1022: Extract the corresponding clothing type from the clothing information database according to the matching result.

[0030] Specifically, for the successfully matched identification codes, the system will extract the corresponding clothing type information from the clothing information database according to the matching result. The clothing information database has pre-stored the type information of the medical clothing corresponding to each identification code, including specific types such as work clothes, surgical gowns, and hospital gowns. For example, when the system queries the identification code "A12345", it can extract that the clothing type corresponding to this identification code is "surgical gown", and at the same time obtain detailed information such as the model and material of this surgical gown.

[0031] Step 1023: Analyze the identification code and determine the historical washing records of each piece of medical clothing based on the analysis result.

[0032] Specifically, the system analyzes the identification code and extracts the historical location information of each piece of medical clothing scanned by different RFID reading devices at different time points. For example, the surgical gown with the identification code "A12345" may have the following location information records: in the operating room at 08:00 on February 1, 2025, in the washing area at 15:30 on February 1, 2025, in the storage area at 18:00 on February 1, 2025, in the operating room at 09:00 on February 2, 2025, etc. These location information form the complete location trajectory of the medical clothing.

[0033] From these historical location information, the system focuses on the time points when the medical clothing is in the washing area. The system identifies the records belonging to the washing area in the location information through pre-set area identifiers. For example, from the above location records of the "A12345" surgical gown, the system extracts the time point of 15:30 on February 1, 2025 when it is in the washing area. In this way, the system can initially screen out the time records that may be related to the washing activity.

[0034] However, since the RFID reading device may read the information of the same piece of medical clothing multiple times during the medical clothing washing process, multiple position records of the washing area are generated within a short period of time. To avoid duplicate calculations, the system needs to filter these time points. Specifically, the system sets a preset duration (such as 4 hours). When the interval between two adjacent washing area time points is greater than this preset duration, these time points are recognized as valid washing time points. For example, if there are position records of the washing area for the surgical gown "A12345" at 15:30 and 15:45 on February 1, 2025, since the time interval is less than the preset duration, the system only records 15:30 as one 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 times with the specific time information of all valid washing time points to form the complete historical washing record of this medical clothing.

[0035] Step 1024: Extract the most recent historical washing time point from the historical washing record, use the interval duration between the current time point and the historical washing time point as the usage duration, and use the historical washing record and the usage duration as the clothing usage data.

[0036] Specifically, to evaluate the current usage status of medical clothing, the system extracts the most recent historical washing time point from the historical washing record. For example, the system queries that the most recent washing time of the surgical gown corresponding to the identification code "A12345" is "08:00 on February 1, 2025". The system compares the current time point (such as "10:30 on February 19, 2025") with this historical washing time point, calculates the time interval between the two, and obtains the usage duration of this medical clothing as "18 days 2 hours 30 minutes". The system takes the obtained historical washing record and the calculated usage duration together as the clothing usage data of this medical clothing and stores them in the database.

[0037] Step 20: Determine the replacement urgency values of each piece of medical clothing according to the clothing type and the clothing usage data.

[0038] Specifically, the basic laundering weight is set according to the type of clothing. Due to differences in usage scenarios and hygiene requirements, the laundering needs of different types of medical clothing vary. For example, the basic laundering weight of surgical gowns that directly contact patients can be set to 1.5, the basic laundering weight of work uniforms worn by doctors daily can be set to 1.0, and the basic laundering weight of hospital gowns can be set to 1.2. The basic laundering weight is dynamically adjusted in combination with clothing usage data. Among them, the usage duration is an important adjustment factor. The system pre-sets the standard usage duration thresholds for different types of medical clothing. When the actual usage duration exceeds the threshold, the laundering weight will be increased accordingly. For example, if the standard usage duration of a surgical gown is 48 hours, when the actual usage duration of a certain surgical gown reaches 72 hours, its laundering weight will be incrementally adjusted according to the proportion of the exceeded duration.

[0039] At the same time, the system also considers the laundering frequency information in the historical laundering records. If the laundering frequency of a certain piece of medical clothing in the past period is significantly higher than the average level of the same type of clothing, it indicates that there may be special usage situations or quality problems with this clothing, and the system will increase its laundering weight accordingly. For example, if the number of laundering times of a work uniform in the past month is 1.5 times the average laundering times of the same type of work uniform, its laundering weight will be increased accordingly. The laundering urgency value of each piece of medical clothing is obtained through comprehensive calculation. The calculation formula is: Laundering urgency value = Basic laundering weight × (1 + Usage duration adjustment coefficient) × (1 + Laundering frequency adjustment coefficient). For example, for a surgical gown with the identification code "A12345", its basic laundering weight is 1.5, the usage duration exceeding the standard duration by 50% results in an adjustment coefficient of 0.5, and the historical laundering frequency is normal resulting in an adjustment coefficient of 0, then its final laundering urgency value is: 1.5 × (1 + 0.5) × (1 + 0) = 2.25.

[0040] Based on the above embodiments, as another alternative embodiment, the step of determining the laundering urgency value of each piece of medical clothing according to the clothing type and clothing usage data may further include the following steps: Step 201: Construct a state transition matrix for medical clothing. The state transition matrix includes multiple state nodes, and each state node corresponds to different usage duration intervals and historical laundering times intervals.

[0041] Specifically, in the process of determining the urgent value of medical clothing laundering, in order to more scientifically evaluate the state change of medical clothing, the system first constructs a state transition matrix of medical clothing. This state transition matrix contains multiple state nodes, and each node represents the state of medical clothing in a specific usage duration interval and historical washing times interval. For example, the usage duration can be divided into intervals such as [0 - 24h], [24 - 48h], [48 - 72h], etc., and the historical washing times can be divided into intervals such as [0 - 10 times], [10 - 20 times], [20 - 30 times], etc., to form an n×n state transition matrix. Each element in the matrix represents the probability of medical clothing transferring from one state node to another state node.

[0042] Step 202: Obtain the initial state vector and target state vector corresponding to the medical clothing based on the clothing type, where the initial state vector is generated based on the usage duration and historical washing times in the clothing usage data.

[0043] Specifically, based on the obtained clothing type, the system sets corresponding initial state vectors and target state vectors for each type of medical clothing. The initial state vector is generated according to the actual usage duration and historical washing times in the clothing usage data. For example, for a surgical gown with a usage duration of 36 hours and a historical washing times of 15 times, its initial state vector may be represented as the probability distribution on the state nodes in the intervals of [24 - 48h] and [10 - 20 times]. The target state vector represents the ideal usage state of this type of medical clothing. For example, the target state of a surgical gown may be the state with a usage duration in the interval of [0 - 24h] and moderate washing times.

[0044] Step 203: Calculate the number of state transitions of the initial state vector passing through the state transition matrix until the target state vector is reached.

[0045] Specifically, the system records the number of state transitions required to reach the target state vector by iteratively calculating the transfer process of the initial state vector on the state transition matrix. The system continuously left - multiplies the initial state vector by the state transition matrix, and each iteration obtains a new state vector until the difference between this 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, its number of state transitions is recorded as 3.

[0046] Step 204: Obtain the maximum washing times threshold corresponding to the clothing type, and determine the laundering indication parameter based on the historical washing times and the maximum washing times threshold.

[0047] Specifically, obtain the corresponding maximum washing times threshold according to the type of clothing. This threshold represents the maximum number of washing times that medical clothing can withstand while ensuring safety and hygiene. The system compares the actual historical washing times of the medical clothing with the maximum washing times threshold to generate a replacement indication parameter. For example, when the historical washing times are close to 80% of the maximum washing times threshold, the replacement indication parameter may point to "need to replace"; when the historical washing times are less than 50% of the threshold, the replacement indication parameter may point to "ordinary cleaning".

[0048] Step 205: Use the difference between the number of state transitions and the preset number of transitions as the basic urgency, and combine the basic urgency and the replacement indication parameter to generate a two-dimensional replacement urgency value, where the replacement indication parameter is used to characterize the replacement processing method of the medical clothing.

[0049] Specifically, compare the actual number of state transitions with the preset number of transitions. For example, if the number of state transitions of a piece of medical clothing is 4 times and the preset number of transitions is 2 times, then its basic urgency is 4 - 2 = 2, indicating that the usage state of this medical clothing significantly deviates from the ideal state and has a relatively high replacement urgency. For the determination of the replacement indication parameter, the system mainly judges based on the ratio of the historical washing times of the medical clothing to the maximum washing times threshold. The replacement indication parameter is used to indicate the specific processing method that the medical clothing should adopt, and is divided into two types: "washing" and "replacement". The specific judgment rules are as follows: When the ratio of the historical washing times to the maximum washing times threshold is less than 80%, the replacement indication parameter is set to "washing", indicating that this medical clothing can still be used continuously through the cleaning method. For example, if the maximum washing times threshold of a surgical gown is 100 times and the current historical washing times is 60 times, then the ratio is 60%, and the replacement indication parameter will be set to "washing". When the ratio of the historical washing times to the maximum washing times threshold is greater than or equal to 80%, the replacement indication parameter is set to "replacement", indicating that this medical clothing is approaching the limit of its service life and needs to be replaced with a new one. For example, if the maximum washing times threshold of a work uniform is 80 times and the current historical washing times is 68 times, then the ratio is 85%, and the replacement indication parameter will be set to "replacement". Combine the basic urgency and the replacement indication parameter into a two-dimensional replacement urgency value, expressed as (basic urgency, replacement indication parameter). For example: When the basic urgency of a piece of medical clothing is 2 and the historical washing times is 60 times (less than 80% of the threshold), then its two-dimensional replacement urgency value is expressed as (2, washing); when the basic urgency of a piece of medical clothing is 1 and the historical washing times is 85 times (greater than 80% of the threshold), then its two-dimensional replacement urgency value is expressed as (1, replacement).

[0050] Step 30: Determine the replacement priority of each piece of medical clothing based on the replacement urgency value, and classify them according to the replacement priority to obtain the classification result.

[0051] Specifically, after obtaining the two-dimensional urgent replacement value of medical laundry, to ensure the orderly progress of the replacement process of medical laundry, the system needs to determine the replacement priority of each piece of medical laundry based on the urgent replacement value. Since the urgent replacement value includes two dimensions: the basic urgency and the replacement instruction parameter, the system adopts a multi-level priority classification method. First, a first-level priority classification is performed based on the replacement instruction parameter. The priority of medical laundry with the replacement instruction parameter of "replacement" is higher than that of medical laundry with the instruction parameter of "washing". This is because the medical laundry that needs to be replaced usually has reached the limit of its service life, and continued use may pose safety hazards. For example, when the system detects that among a batch of medical laundry, 10 pieces have the replacement instruction parameter of "replacement" and 15 pieces have the parameter of "washing", the system will prioritize the processing of these 10 pieces of medical laundry that need to be replaced. Among the medical laundry with the same replacement instruction parameter, the system further performs a second-level priority classification according to the basic urgency. The higher the basic urgency, the more the current state of the medical laundry deviates from the ideal state, and the higher its replacement priority. For example, among the medical laundry with the replacement instruction parameter of "washing", the medical laundry with a basic urgency of 3 will be processed prior to the medical laundry with a basic urgency of 1.

[0052] Based on the above embodiments, as another alternative embodiment, the step of determining the replacement priority of each piece of medical laundry based on the urgent replacement value and classifying them according to the replacement priority to obtain a classification result may further include the following steps: Step 301: Construct a feature vector of medical laundry, which includes the associated features of the basic urgency, replacement instruction parameter, and laundry type in the urgent replacement value.

[0053] Specifically, to scientifically classify and manage medical laundry, the system first constructs a feature vector of medical laundry. The feature vector contains three key dimensions: the basic urgency, replacement instruction parameter, and associated features of the laundry type. Among them, the basic urgency is represented in numerical form, for example, the value range is 0 - 5; the replacement instruction parameter can be quantified as a binary feature, "replacement" is recorded as 1, and "washing" is recorded as 0; the associated features of the laundry type consider the importance of different types of medical laundry. For example, the associated feature value of surgical gowns may be 1.5, and that of ordinary work clothes is 1.0. For example, for a surgical gown with the identification code of "A12345", its feature vector may be represented as (3, 1, 1.5), indicating that its basic urgency is 3, it needs to be replaced (the replacement instruction parameter is 1), and as a surgical gown, its associated feature value is 1.5. This way of constructing a multi-dimensional feature vector can comprehensively reflect the replacement demand characteristics of medical laundry.

[0054] Step 302: Use the density clustering algorithm to perform clustering analysis on the feature vector to obtain multiple medical laundry clusters.

[0055] Specifically, based on the constructed feature vectors, the system uses a density clustering algorithm (such as the DBSCAN algorithm) to perform clustering analysis on medical garments. The advantage of the density clustering algorithm is that it does not require pre-specifying the number of clusters and can identify clusters of any shape. The system divides medical garments with similar densities in the feature space into the same cluster by setting appropriate neighborhood radii (such as ε = 0.5) and minimum sample numbers (such as MinPts = 4). For example, the system may divide medical garments with similar basic urgency levels, the same laundering instruction parameters, and similar garment types into a medical garment cluster.

[0056] Step 303: Calculate the distances from the cluster centers of each medical garment cluster, and perform priority sorting on each medical garment cluster based on the distances from the cluster centers.

[0057] Specifically, for each formed medical garment cluster, the system calculates their cluster center positions and the distances between the cluster centers. The cluster center represents the average value of the feature vectors of all medical garments in the cluster. For example, if a medical garment cluster contains 5 garments and the average value of their feature vectors is (2.8, 1, 1.4), then this vector is the cluster center of the cluster. The system calculates the Euclidean distances from each cluster center to the origin. The larger the distance, the more urgent the comprehensive laundering requirements of the medical garments in the cluster. Based on these distance values, the system performs priority sorting on the medical garment clusters.

[0058] Step 304: Divide the medical garments into a garment replacement group and / or a garment washing group according to the numerical range of the laundering instruction parameters, and classify the garment replacement group and / or the garment washing group based on the priority sorting result to obtain a classification result.

[0059] Specifically, after completing clustering and priority sorting, the system divides the medical garments into a garment replacement group and a garment washing group according to the numerical values of the laundering instruction parameters. Medical garments with a laundering instruction parameter of 1 enter the garment replacement group, and those with a value of 0 enter the garment washing group. Within each group, the system further performs detailed classification according to the previously obtained priority sorting result.

[0060] For example, the garment replacement group may be divided into: extremely urgent replacement category: from the medical garment cluster with the highest priority; urgent replacement category: from the medical garment cluster with the second highest priority; regular replacement category: from the medical garment clusters with lower priorities. The garment washing group may be divided into: extremely urgent washing category: from the medical garment clusters with higher priorities; regular washing category: from the medical garment clusters with lower priorities.

[0061] Step 40: Determine the laundering list of each medical garment according to the classification result, and push the laundering list to the medical garment management center.

[0062] Specifically, a structured replacement list is generated according to the classification results. The information items of each medical garment in the list include: identification code, garment type, current location, basic urgency level, replacement instruction parameters, classification category to which it belongs (such as urgent replacement category, emergency replacement category, urgent washing category or regular washing category), historical washing times and other key information. For example, for a surgical gown with the identification code "A12345", its list information may be: identification code A12345, garment type: surgical gown, current location: surgical ward, basic urgency level: 3, replacement instruction parameters: replacement, classification category: urgent replacement category, historical washing times: 85 times.

[0063] To facilitate the work arrangement of the medical garment management center, the system groups and organizes the replacement list according to the processing category and priority. First is the replacement list, arranged in the order of urgent replacement category, emergency replacement category, and regular replacement category; second is the washing list, arranged in the order of urgent washing category and regular washing category. Inside each category, the system also performs a secondary sorting based on the basic urgency level to ensure that medical garments with a higher urgency level can be processed first.

[0064] In addition, 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 garment management center in real time. The pushed data includes two levels: one is the overall statistical information, such as the quantity statistics of medical garments in each category (for example: 15 pieces in the urgent replacement category, 25 pieces in the emergency replacement category, 30 pieces in the urgent washing category, 50 pieces in the regular washing category); the other is the detailed list of garment information, which displays the specific information of each medical garment classified by the processing category. The push mechanism is designed with a confirmation feedback mechanism, and the medical garment management center needs to confirm the received replacement list. The system monitors the confirmation status in real time. If no confirmation feedback is received within the preset time (such as 30 minutes), a reminder notice will be automatically sent. At the same time, the system supports the medical garment management center to mark the response to the list according to the actual processing capacity, such as statuses of "already arranged for processing", "pending processing", "postponed processing", etc.

[0065] To ensure the traceability of the replacement process, the system records the execution status of the replacement list. When the medical garment management center completes the replacement process of a certain medical garment, it needs to confirm in the system, and the system will automatically update the historical washing record or replacement record of the garment. For example, when the surgical gown with the 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.

[0066] Based on the above embodiments, as another alternative embodiment, the step of determining the replacement list of each medical garment according to the classification results and pushing the replacement list to the medical garment management center may further include the following steps: Step 401: Obtain the new clothing inventory from the medical clothing management center. According to the identification codes, clothing types, and priorities of the medical clothing in the clothing replacement group in the classification result, determine the corresponding new clothing for each piece of medical clothing in the clothing replacement group in the new clothing inventory, and generate a one-to-one replacement pairing list.

[0067] Specifically, obtain the new clothing inventory information of the medical clothing management center in real time through the data interface, including information such as the available quantity and specification model of each type of medical clothing. For example, the system may obtain specific data such as 50 surgical gowns in stock and 100 work uniforms in stock. 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 a surgical gown in the urgent replacement category with an identification code of "A12345", the system will search for unused surgical gowns in the new clothing inventory and select one as its replacement clothing. The system records the information of this pair of old clothing to be replaced and the corresponding new clothing in the replacement pairing list. The specific information includes: old clothing identification code, new clothing identification code, clothing type, replacement priority, location, etc. This one-to-one pairing method ensures the accuracy and traceability of the replacement process.

[0068] Step 402: 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 recycling list based on the washing batch.

[0069] Specifically, for the medical clothing in the clothing washing group, the system uses a batch processing method to improve the washing efficiency. The system classifies the medical clothing with the same priority and the same clothing type into the same washing batch. For example, classify 10 surgical gowns with a priority of "urgent washing category" into one washing batch, marked as "Batch number: WB20250219-001". Based on this batch information, the system generates a batch recycling list, which includes information such as the batch number, clothing type, list of clothing identification codes included, and priority of each batch. This batch processing method not only improves the washing efficiency but also facilitates the subsequent clothing recycling and distribution management.

[0070] Step 403: Use the replacement pairing list and / or the batch recycling list as the replacement list.

[0071] Specifically, the replacement pairing list and the batch recycling list are integrated into a complete replacement and washing list. The structural design of the replacement and washing list reflects two different processing methods: the replacement pairing list part shows the medical clothes to be replaced and the information of their corresponding new clothes in a one-to-one manner; the batch recycling list part shows the groups of medical clothes to be washed in batches. For example: The replacement pairing part may contain the following information: old clothes A12345 (surgical gown) → new clothes N78901 (surgical gown), urgent replacement category, old clothes A12346 (work clothes) → new clothes N78902 (work clothes), emergency replacement category. The batch recycling part may contain the following information: batch number WB20250219-001: surgical gowns for urgent washing category, including identification codes B12345, B12346, etc., a total of 10 pieces. Batch number WB20250219-002: work clothes for regular washing category, including identification codes C12345, C12346, etc., a total of 15 pieces.

[0072] Please refer to Figure 2 , which is a schematic diagram of the modules of an information tracking system for medical clothes provided by an embodiment of the present application. Among them, the system includes: A data acquisition module, configured to acquire the identification codes of each medical clothes in the target hospital, and based on each of the identification codes, acquire the corresponding clothes type and clothes usage data of each medical clothes, where the clothes usage data includes historical washing records and usage duration; A replacement and washing value calculation module, configured to determine the replacement and washing emergency value of each medical clothes according to the clothes type and the clothes usage data; A clothes classification module, configured to determine the replacement and washing priority of each medical clothes based on the replacement and washing emergency value, and classify them according to the replacement and washing priority to obtain a classification result; A list generation module, configured to determine the replacement and washing list of each medical clothes according to the classification result, and push the replacement and washing list to the medical clothes management center.

[0073] Optionally, the data acquisition module is further configured to acquire the location information of each RFID reading device, and the RFID reading devices are distributed in each preset area of the target hospital or the washing area of medical clothes; Construct an identification acquisition network based on the location information of each RFID reading device, and detect the RFID tags on the medical clothes in each area through the identification acquisition network to obtain RFID tag signals; Decode the RFID tag signals whose RFID tag signals are greater than the signal threshold to obtain the corresponding identification codes, and associate and store the identification codes with the location information of the RFID reading devices that detect the identification codes.

[0074] Optionally, the data acquisition module is further configured to match each of the identification codes with historical identification codes stored in the clothing database of the target hospital; Extract corresponding clothing types from the clothing information database according to the matching result; Parse the identification code, and determine historical washing records of each medical clothing based on the parsing result; Extract the most recent historical washing time point from the historical washing records, use the time interval between the current time point and the historical washing time point as the usage duration, and use the historical washing records and the usage duration as clothing usage data.

[0075] Optionally, the data acquisition module is further configured to parse the identification code to obtain multiple historical location information of the RFID reading devices corresponding to each of the identification codes; Extract the time points when the medical clothing is located in the washing area from each of the historical location information; Filter the time points, and determine valid washing time points whose time intervals between adjacent time points are greater than a preset duration; Count the number of the valid washing time points of each medical clothing to obtain the historical washing times; Form historical washing records with the historical washing times and each of the valid washing time points.

[0076] Optionally, the replacement value calculation module is further configured to construct a state transition matrix of medical clothing, where the state transition matrix includes multiple state nodes, and each state node corresponds to different usage duration intervals and historical washing times intervals; Obtain an initial state vector and a target state vector of the corresponding medical clothing based on the clothing type, where the initial state vector is generated based on the usage duration and historical washing times in the clothing usage data; Calculate the number of state transitions of the initial state vector passing through the state transition matrix until reaching the target state vector; Obtain the maximum washing times threshold corresponding to the clothing type, and determine a replacement indication parameter based on the historical washing times and the maximum washing times threshold; Use the difference between the number of state transitions and a preset number of transitions as the basic urgency, and combine the basic urgency and the replacement indication parameter to generate a two-dimensional replacement urgency value, where the replacement indication parameter is used to characterize the replacement processing method of the medical clothing.

[0077] Optionally, the clothing classification module is further configured to construct a feature vector of medical clothing, where the feature vector includes the basic urgency in the replacement urgency value, the replacement indication parameter, and the associated features of the clothing type; Cluster analysis is performed on the feature vectors using a density clustering algorithm to obtain multiple medical clothing clusters; Calculate the cluster center distances of each of the medical clothing clusters, and perform priority sorting on each of the medical clothing clusters based on the cluster center distances; Divide the medical clothing into a clothing replacement group and / or a clothing washing group according to the numerical range of the replacement and washing instruction parameters, and classify the clothing replacement group and / or the clothing washing group based on the priority sorting result to obtain a classification result.

[0078] Optionally, the list generation module is further configured to obtain the new clothing inventory from the medical clothing management center, and determine the new clothing corresponding to each medical clothing in the clothing replacement group 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 corresponding replacement pairing list; 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 recycling list based on the washing batch; Use the replacement pairing list and / or the batch recycling list as the replacement and washing list.

[0079] It should be noted that: when the system provided in the above embodiment realizes its functions, only the above-mentioned division of each functional module is used for illustration. In actual applications, the above functions can be allocated to 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 functions described above. 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 embodiment, which will not be repeated here.

[0080] The embodiment of the present application also provides a computer storage medium. The computer storage medium can store multiple instructions, and the instructions are suitable for being loaded and executed by a processor to perform the information tracking method of a medical clothing in the above embodiment. The specific execution process can refer to the specific description of the above embodiment, which will not be repeated here.

[0081] Please refer to Figure 3 The present application also discloses an electronic device. Figure 3 It is a schematic structural diagram of an electronic device disclosed in the embodiment of the present application. The electronic device 300 may 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.

[0082] Among them, the communication bus 302 is used to realize the connection and communication between these components.

[0083] Among them, the user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may further include a standard wired interface and a wireless interface.

[0084] Among them, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0085] Among them, the processor 301 may include one or more processing cores. The processor 301 connects various parts within the entire server through various interfaces and lines, and 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 by calling data stored in the memory 305. Optionally, the processor 301 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 301 may integrate one or a combination of several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, the user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 301 and may be implemented separately by a single chip.

[0086] Among them, the memory 305 may include random access memory (RAM) and may also include read-only memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store the data involved in the above-mentioned various method embodiments. Optionally, the memory 305 may further be at least one storage device located far from the aforementioned processor 301. Refer to Figure 3In the memory 305, which is a computer storage medium, an operating system, a network communication module, a user interface module, and an application program for a method of tracking information of medical clothing may be included.

[0087] In Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an interface for the user to input data and obtain the data input by the user; while the processor 301 can be used to call the application program for the method of tracking information of medical clothing stored in the memory 305. When executed by one or more processors 301, the electronic device 300 is caused to execute the method as described in one or more of the above embodiments. It should be noted that, for the foregoing method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0088] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0089] In several implementation manners provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some service interfaces. The indirect couplings or communication connections of the devices or units can be in an electrical or other form.

[0090] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0091] In addition, in each embodiment of the present application, the functional units can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0092] When the integrated unit is implemented 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 solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present application. The aforementioned memory includes various media that can store program codes, such as USB flash drives, mobile hard disks, magnetic disks, or optical discs.

[0093] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. After considering the specification and the disclosure of the practical truth, those skilled in the art will easily think of other implementation schemes of the present disclosure.

[0094] The present application aims to cover any variations, uses, or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and the embodiments are only regarded 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 of each medical garment in the target hospital, and obtaining clothing types and clothing usage data corresponding to each medical garment based on each identification code, wherein the clothing usage data includes historical washing records and usage duration; Determining a washing urgency value of each of the medical garments according to the garment type and the garment usage data; Determining the washing priority of each of the medical clothing based on the washing urgency value, and classifying them according to the washing priority to obtain a classification result; A laundry list for each of the medical clothing is determined according to the classification results, and the laundry list is pushed to a medical clothing management center.

2. The information tracking method of medical clothing according to claim 1, characterized in that: The step of obtaining the identification code of each medical garment in the target hospital includes: Acquire 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 in each of the areas through the identification acquisition network to obtain RFID tag signals; The RFID tag signal whose RFID tag signal is greater than the signal threshold is decoded to obtain a corresponding identification code, and the identification code is associated with the location information of the RFID reading device that detects the identification code and stored.

3. The information tracking method of medical clothing according to claim 1, characterized in that: The acquiring the clothing type and clothing usage data corresponding to each of the medical clothing based on each of the identification codes includes: matching each of the identification codes with historical identification codes stored in the clothing database of the target hospital; extracting corresponding clothing types from the clothing information database according to the matching results; parsing the identification code, and determining the historical washing record of each medical garment based on the parsing result; The most recent historical washing time point is extracted from the historical washing record, the interval between the current time point and the historical washing time point is used as the usage time, and the historical washing record and the usage time are used as clothing usage data.

4. The information tracking method of medical clothing according to claim 3, characterized in that: The step of analyzing the identification code and determining the historical washing record of each medical garment based on the analysis result includes: Parsing the identification code to obtain multiple historical location information of the RFID reading device corresponding to each identification code; Extracting the time point when the medical clothing was located in the washing area from each of the historical location information; Filter the time points, and determine the time points where the time intervals between adjacent time points are greater than a preset time length as effective washing time points; Counting the number of effective washing time points of each medical garment to obtain a historical washing number; The historical washing times and the effective washing time points constitute a historical washing record.

5. The information tracking method of medical clothing according to claim 1, characterized in that: The step of determining the washing urgency value of each medical garment according to the garment type and the garment usage data comprises: Constructing a state transition matrix of medical clothing, wherein the state transition matrix includes a plurality of state nodes, each of which corresponds to a different usage time interval and a 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 washing times 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 washing times threshold value corresponding to the clothing type, and determining a wash change indication parameter based on the historical washing times and the maximum washing times threshold value; The difference between the state transition times and the preset transition times is used as the basic urgency, and the basic urgency and the washing indication parameter are combined to generate a two-dimensional washing urgency value, wherein the washing indication parameter is used to characterize the washing treatment method of medical clothing.

6. The information tracking method of medical clothing according to claim 1, characterized in that: 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 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; Using a density clustering algorithm to perform cluster analysis on the feature vectors 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 changing 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.

7. The information tracking method of medical clothing according to claim 1, characterized in that: Determining a laundry list for each of the medical garments according to the classification results includes: Acquire new clothing inventory from the medical clothing management center, determine 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; Classifying 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 generating a batch recycling list based on the washing batch; The replacement pairing list and / or batch recall list is used as a replacement cleaning list.

8. A medical clothing information tracking system, characterized in that the system include: A data acquisition module, used to acquire identification codes of various medical garments in the target hospital, and acquire 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; A washing value calculation module, used for determining the washing urgency value of each medical garment according to the garment type and the garment usage data; A clothing classification module, used for determining the changing and washing priority of each of the medical clothing based on the changing and washing urgency value, and classifying them according to the changing and washing priority to obtain a classification result; A list generation module is used to determine a laundry list for each of the medical clothing according to the classification results, and push the laundry list to a medical clothing management center.

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

10. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as claimed in any one of claims 1 to 7.

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