Medical waste data processing method, system and equipment

Abstract

The invention provides a medical waste data processing method, system and equipment, and relates to the field of medical waste data processing. The problem that an existing medical waste system cannot trace data with problems in the medical waste treatment process is solved. The medical waste data processing method comprises the following steps: acquiring various to-be-processed medical waste data; all the to-be-processed medical waste data are preprocessed, and multiple pieces of statistical index data are obtained; according to the statistical index data, generating a corresponding medical waste treatment process state report; and analyzing and processing the medical waste treatment process state report, generating target processing data, and performing visual output and display. According to the scheme, automatic management of the whole medical waste treatment process of the medical waste system is achieved, and the treatment efficiency and the data accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical waste data processing, and in particular to a medical waste data processing method, system and equipment. Background Art

[0002] With the rapid development of the medical industry, the amount of medical waste generated continues to increase. How to effectively monitor the medical waste treatment process to ensure its safety, compliance and environmental protection has become a problem to be solved. The existing medical waste treatment systems often lack comprehensive analysis of the data of the medical waste treatment process, data sharing, and analysis and processing of medical waste data, resulting in difficulty in effectively tracing the data in the medical waste treatment process. Summary of the invention

[0003] The present invention provides a medical waste data processing method, system and device, which solves the problem that the existing medical waste system cannot fully analyze and process the data of the medical waste treatment process, resulting in difficulty in effectively tracing the data.

[0004] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0005] An embodiment of the present invention provides a medical waste data processing method, which is applied to a medical waste data processing system. The method includes:

[0006] Obtain various medical waste data to be processed;

[0007] Preprocessing all the medical waste data to be processed respectively to obtain multiple statistical indicator data;

[0008] Generate a corresponding medical waste treatment process status report based on the statistical indicator data;

[0009] The medical waste treatment process status report is analyzed and processed to generate target treatment data, which is then output and displayed visually.

[0010] Optionally, all the medical waste data to be processed are preprocessed respectively to obtain multiple statistical indicator data, including:

[0011] Each of the medical waste data to be processed is cleaned, outliers, duplicate values, missing values ​​are removed, and format conversion is performed to obtain pre-processed data corresponding to each medical waste data to be processed;

[0012] The pre-processed data are integrated to obtain a plurality of statistical indicator data.

[0013] Optionally, the pre-processed data is integrated to obtain multiple statistical indicator data, including:

[0014] According to the target area corresponding to each preprocessed data, each preprocessed data is marked by using the identifier of the target area to obtain the marked data corresponding to each target area;

[0015] According to the preset conditions of statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area to obtain multiple statistical indicator data corresponding to each target area;

[0016] Where D represents the statistical indicator data of the current target area, i represents the target area identifier corresponding to the current data, and M i Indicates the medical institution corresponding to the current target area, Q i represents the label data corresponding to the current target area under the first preset condition of the statistical indicator data; T i Indicates the label data corresponding to the current target area under the second preset condition of the statistical indicator data; Z i Indicates the marking data corresponding to the current target area under the third preset condition of the statistical indicator data.

[0017] Optionally, according to the preset conditions of the statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area to obtain multiple statistical indicator data corresponding to each target area, including at least one of the following:

[0018] According to the quantity, type and time of medical waste generated by the statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area, and generate data indicators of medical waste generation of each medical structure in each target area;

[0019] According to the statistical indicator data of the transportation number conditions, transportation time conditions, and transportation vehicle information conditions of different transportation routes in the medical waste transportation process, the preset integration formula D = {di |d i =(M i , Q i , T i , Z i )}, respectively integrate the marked data corresponding to each target area to generate medical waste transportation data indicators for each medical structure in each target area;

[0020] According to the statistical indicator data of each medical institution's treatment method, treatment volume, and treatment result conditions for medical waste, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area, and generate data indicators of medical waste treatment status of each medical structure in each target area;

[0021] According to the statistical indicator data of the reuse method conditions, reuse quantity conditions, and quantity conditions of recycled products after medical waste treatment, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, perform data integration processing on the marked data corresponding to each target area, and generate post-medical waste treatment data indicators for each medical structure in each target area.

[0022] Optionally, a corresponding medical waste treatment process status report is generated according to the statistical indicator data, including:

[0023] Generate a report on the medical waste generation process based on the medical waste generation data indicators;

[0024] Generate a medical waste transportation process report based on medical waste transportation data indicators;

[0025] Generate a medical waste treatment process report based on medical waste treatment data indicators;

[0026] Generate a medical waste post-treatment process report based on the post-medical waste treatment data indicators.

[0027] Optionally, analyzing and processing the medical waste treatment process status report to generate target treatment data includes:

[0028] Integrate all the medical waste treatment process status reports to generate an integrated report;

[0029] According to the integrated report, the integrated report is compared and analyzed through preset conditions, the abnormal data is output, and the target processing data is generated.

[0030] Optionally, the medical waste data processing method further includes:

[0031] Analyze and process the current medical waste treatment process status report according to the historical data of each medical waste treatment process status report to generate corresponding analysis data;

[0032] Based on the analysis data, an early warning prompt is issued.

[0033] An embodiment of the present invention further provides a medical waste data processing system, comprising:

[0034] An acquisition module is used to acquire various medical waste data to be processed;

[0035] The processing module is used to pre-process all the medical waste data to be processed to obtain multiple statistical indicator data; generate a corresponding medical waste treatment process status report based on the statistical indicator data; analyze and process the medical waste treatment process status report to generate target processing data, and perform visual output display.

[0036] An embodiment of the present invention further provides a computing device, comprising: a processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the above-mentioned sewage treatment method is executed.

[0037] An embodiment of the present invention further provides a computer-readable storage medium, comprising: storing instructions, which, when executed on a computer, enable the computer to execute the above-mentioned sewage treatment method.

[0038] The above solution of the present invention includes at least the following beneficial effects:

[0039] The medical waste data processing method of the present invention obtains a variety of medical waste data to be processed; pre-processes all the medical waste data to be processed to obtain a plurality of statistical indicator data; generates a corresponding medical waste treatment process status report according to the statistical indicator data; analyzes and processes the medical waste treatment process status report to generate target processing data, and performs visual output display. The medical waste system realizes the automated management of the entire process of medical waste treatment, improves the processing efficiency and data accuracy, and realizes the data traceability in the entire process of medical waste treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a schematic flow chart of the medical waste data processing method of the present invention;

[0041] Figure 2It is a structural schematic diagram of the medical waste data processing system of the present invention. DETAILED DESCRIPTION

[0042] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0043] like Figure 1 As shown, an embodiment of the present invention provides a medical waste data processing method, which is applied to a medical waste data processing system. The method includes:

[0044] Step 11, obtaining various medical waste data to be processed;

[0045] Step 12, pre-processing all the medical waste data to be processed to obtain multiple statistical indicator data;

[0046] Step 13, generating a corresponding medical waste treatment process status report according to the statistical indicator data;

[0047] Step 14: Analyze and process the medical waste treatment process status report, generate target treatment data, and perform visual output display.

[0048] In this embodiment, the medical waste data to be processed includes: the amount, type, and time information data of medical waste generated by each medical institution in each region, the number of transportations, transportation time, and transportation vehicle information data of different transportation routes during the transportation of medical waste, the treatment method, treatment volume, treatment efficiency, and treatment result information data of each medical institution for medical waste, the reuse method, reuse volume, reuse effect, and the number of recycled products and user unit information data after medical waste treatment;

[0049] In this embodiment, the medical waste treatment process status report can be displayed in the form of tables, charts, maps, etc.; the data format is Excel, PDF, etc.; the medical waste data processing method of the present invention is applied to the medical waste data processing system, which can provide comprehensive medical waste treatment process data to achieve the traceability of the whole process data of medical waste;

[0050] The method enables the system to divide equipment according to regional scope, and can monitor the generation, transportation and treatment process of medical waste in medical institutions or clinics in real time; upload the data to the monitoring platform through remote transmission, and record the generation amount, transportation information, treatment method and treatment results of medical waste in each region in real time, and then analyze and process the collected data to generate target treatment data, so as to facilitate viewing of real-time data and historical records;

[0051] The medical waste data processing method solves the problem that the existing medical waste system cannot fully analyze and process the data of the medical waste treatment process, which makes it difficult to effectively trace the data. The medical waste system realizes the automated management of the entire process of medical waste treatment, improves the processing efficiency and data accuracy, and realizes the traceability of the data of the entire process of medical waste treatment; it can effectively track the results of medical waste treatment in various regions to ensure that medical waste treatment meets safety, compliance and environmental protection standards.

[0052] In an optional embodiment of the present invention, step 12 may include:

[0053] Step 121, cleaning, removing abnormal values, duplicate values, missing values ​​and format conversion for each of the medical waste data to be processed, to obtain pre-processed data corresponding to each of the medical waste data to be processed;

[0054] Step 122, integrating the pre-processed data to obtain a plurality of statistical indicator data.

[0055] In this embodiment, step 121 can specifically be, for example, for data such as transportation time data and transportation records, removing data with negative transportation time, removing duplicate transportation records, etc.; converting the formats of data from different sources, unifying the data formats, and facilitating data analysis and processing; for example: unifying the time format into the YYYY-MM-DD HH:MM:SS format; in this embodiment, the design of cleaning the data, removing outliers, duplicate values, missing values, and format conversion processing can further ensure the accuracy of the uploaded data.

[0056] In an optional embodiment of the present invention, step 122, the pre-processed data is integrated to obtain a plurality of statistical indicator data, including:

[0057] Step 1221, according to the target area corresponding to each pre-processed data, each pre-processed data is marked using the identifier of the target area to obtain the marked data corresponding to each target area; here, taking the transport vehicle information data as an example, the identifier of each target area can be determined by the following method:

[0058] The geographic spatial data that the transport vehicle passes through during the transport process is obtained, such as the transport route obtained from the map, and the administrative areas passed through in the transport route are used as nodes of the route. A node sequence is formed by multiple nodes. Here, the transport path extracts the nodes in the sequence, and uses the name or longitude and latitude of each node as an identifier to obtain the identifier of each target area; when the identifier of the target area is used, all the data generated in the current target area can be marked, wherein the transport vehicle information data and other data spanning multiple regions are marked based on the starting area, for example, the transport vehicle information is marked based on the starting departure area of ​​the transport vehicle; by marking the data of each area, it is convenient to extract and classify the data of different regions in the subsequent process and trace the source of the information, and the origin of the current data can be clearly and quickly obtained through marking.

[0059] Step 1222: according to the preset conditions of the statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area to obtain multiple statistical indicator data corresponding to each target area;

[0060] Where D represents the statistical indicator data of the current target area, i represents the identifier of the target area corresponding to the current data, and M i Indicates the medical institution corresponding to the current target area, Q i represents the label data corresponding to the current target area under the first preset condition of the statistical indicator data; T i Indicates the label data corresponding to the current target area under the second preset condition of the statistical indicator data; Z i Indicates the marking data corresponding to the current target area under the third preset condition of the statistical indicator data.

[0061] In this embodiment, the preset conditions in the preset integration formula can be increased or decreased according to needs, and the preset conditions of the statistical indicator data can be set according to needs. For example, the preset conditions of the medical waste generation data indicator can be set to the three conditions of medical waste generation, type, and time information data.

[0062] In an optional embodiment of the present invention, in step 1222, according to the preset conditions of the statistical indicator data, the preset integration formula D={d i |d i =(M i , Q i , T i , Zi )}, respectively perform data integration processing on the marked data corresponding to each target area to obtain multiple statistical indicator data corresponding to each target area, including at least one of the following:

[0063] According to the quantity, type and time of medical waste generated by the statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area, and generate data indicators of medical waste generation of each medical structure in each target area;

[0064] According to the statistical indicator data of the transportation number conditions, transportation time conditions, and transportation vehicle information conditions of different transportation routes in the medical waste transportation process, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively integrate the marked data corresponding to each target area to generate medical waste transportation data indicators for each medical structure in each target area;

[0065] According to the statistical indicator data of each medical institution's treatment method, treatment volume, and treatment result conditions for medical waste, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area, and generate data indicators of medical waste treatment status of each medical structure in each target area;

[0066] According to the statistical indicator data of the reuse method conditions, reuse quantity conditions, and quantity conditions of recycled products after medical waste treatment, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, perform data integration processing on the marked data corresponding to each target area, and generate post-medical waste treatment data indicators for each medical structure in each target area.

[0067] In this embodiment, the preset conditions in the preset integration formula can be increased according to demand. For example, the post-medical waste treatment data index can also increase the fourth preset condition reuse effect W. i , Fifth Preset Condition Using Unit Information E i , then the corresponding preset integration formula is D = {d i |d i =(M i , Q i , T i , Z i , W i , E i )}; Medical waste treatment data indicators can increase the treatment efficiency conditions; In this embodiment, after the data is integrated, the medical waste generation data includes the medical waste generation of each medical institution (hospital or clinic) in each region and the corresponding time and other information data; Medical waste transportation information data includes the number of transportations, transportation time, transportation vehicles and other information data of different transportation routes during the medical waste transportation process; Medical waste treatment data includes the treatment method, treatment volume, treatment efficiency, treatment results and other information data of each medical waste treatment by the hospital or clinic; Post-medical waste treatment data includes the reuse method, reuse volume, reuse effect, number of recycled products and use units and other information data after medical waste treatment;

[0068] In this embodiment, the pre-processed data is integrated to obtain a plurality of statistical indicator data. Specifically, all the data are classified and integrated one by one by classifying and marking them according to preset categories, so as to classify and obtain the corresponding statistical indicator data, thereby facilitating the generation of the corresponding medical waste treatment process status report.

[0069] In an optional embodiment of the present invention, step 13 may include:

[0070] Generate a report on the medical waste generation process based on the medical waste generation data indicators;

[0071] Generate a medical waste transportation process report based on medical waste transportation data indicators;

[0072] Generate a medical waste treatment process report based on medical waste treatment data indicators;

[0073] Generate a medical waste post-treatment process report based on the post-medical waste treatment data indicators.

[0074] In this embodiment, step 13 is specifically to visualize the classified statistical indicator data in the form of charts, maps, etc., so as to facilitate understanding and analysis; for example, the number of transportation times of different transportation routes is displayed in a bar chart, the transportation volume of different time periods is displayed in a line chart, and the transportation routes of different transportation vehicles are displayed in a map; specifically, as shown in Table 1 Medical Waste Transportation Process Report;

[0075] Table 1, Medical waste transportation report

[0076] Transportation routes Number of transports Average transportation time (minutes) Transport vehicles A hospital-a processing center A 10 30 License plate number: ** A hospital-a processing center B 5 45 License plate number: **

[0077] In an optional embodiment of the present invention, step 14 may include:

[0078] Step 141, integrating all the medical waste treatment process status reports to generate an integrated report;

[0079] Step 142, based on the integrated report, the integrated report is compared and analyzed by preset conditions, the abnormal data is output, and the target processing data is generated.

[0080] In this embodiment, step 141 may specifically be to extract the contents of all the medical waste treatment process status reports according to a preset format of the integrated report to generate the required integrated report, as shown in Table 2 Integrated Report;

[0081] Table 2, integrated report

[0082]

[0083] In this embodiment, step 142 can specifically be to compare and analyze the data in the integrated report according to preset conditions (such as the current classification standard of medical waste, transportation standard, pollution emissions in the medical waste treatment process, the maximum preset medical waste treatment capacity of the current medical waste treatment equipment, the maximum preset production capacity of medical waste in the current region, etc.) according to the integrated report, and analyze the safety hazards existing in the medical waste management process, such as: irregular medical waste classification; safety accidents in the medical waste transportation process; pollution emissions in the medical waste treatment process and other abnormal data. After the abnormal data is compared, the abnormal data is output, and the target processing data associated with the abnormal data is output at the same time, such as the region name, processing time, processing process and other related data corresponding to the abnormal data.

[0084] In an optional embodiment of the present invention, the medical waste data processing method further includes:

[0085] Step 15, analyzing and processing the current medical waste treatment process status report according to the historical data of each medical waste treatment process status report to generate corresponding analysis data;

[0086] Step 16: issuing an early warning based on the analysis data.

[0087] In this embodiment, step 15 and step 16 can specifically be to compare the current medical waste generation data indicator with the corresponding historical data medical waste generation data indicator to determine the difference between the two, and to determine multiple differences by comparing with multiple historical data, thereby constructing a change trend line graph, and predicting the future medical waste generation through the change trend line graph; and compare the predicted future medical waste generation with the maximum preset production volume, so as to achieve early warning prompts; in this example, it is also possible to generate a medical waste transportation efficiency analysis report shown in Table 3 based on the transportation times, transportation time, transportation vehicles and other data of different transportation routes in the medical waste transportation data indicators; optimize the transportation routes based on the analysis of the transportation efficiency of different transportation routes;

[0088] Table 3, Medical waste transportation efficiency analysis report

[0089]

[0090] According to the medical waste treatment data indicators, the treatment volume, treatment efficiency, treatment cost and other data are compared with historical data to evaluate the treatment effect of medical waste, such as waste particles, sewage discharge indicators, etc.; according to the post-medical waste treatment data indicators, the reuse volume, reuse effect and other data of different reuse types are compared with historical data to analyze; the economic benefits, environmental benefits, social benefits, etc. of different reuse methods are evaluated.

[0091] The medical waste data processing method described in the present invention is applied to a medical waste data processing system. Through this method, the medical waste data processing system can realize real-time monitoring of the generation, transportation and treatment process of medical waste, ensuring the transparency and traceability of information; at the same time, the system can generate various monitoring reports, and can trace the entire process of medical waste treatment to ensure that information at each link is traceable.

[0092] like Figure 2 As shown, the embodiment of the present invention further provides a medical waste data processing system 20, comprising:

[0093] An acquisition module 21 is used to acquire various medical waste data to be processed;

[0094] The processing module 22 is used to pre-process all the medical waste data to be processed to obtain multiple statistical indicator data; generate a corresponding medical waste treatment process status report based on the statistical indicator data; analyze and process the medical waste treatment process status report to generate target processing data, and perform visual output display.

[0095] Optionally, all the medical waste data to be processed are preprocessed respectively to obtain multiple statistical indicator data, including:

[0096] Each of the medical waste data to be processed is cleaned, outliers, duplicate values, missing values ​​are removed, and format conversion is performed to obtain pre-processed data corresponding to each medical waste data to be processed;

[0097] The pre-processed data are integrated to obtain a plurality of statistical indicator data.

[0098] Optionally, the pre-processed data is integrated to obtain multiple statistical indicator data, including:

[0099] According to the target area corresponding to each preprocessed data, each preprocessed data is marked by using the identifier of the target area to obtain the marked data corresponding to each target area;

[0100] According to the preset conditions of statistical indicator data, the preset integration formula D={d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area to obtain multiple statistical indicator data corresponding to each target area;

[0101] Where D represents the statistical indicator data of the current target area, i represents the target area identifier corresponding to the current data, and M i Indicates the medical institution corresponding to the current target area, Q i represents the label data corresponding to the current target area under the first preset condition of the statistical indicator data; T i Indicates the label data corresponding to the current target area under the second preset condition of the statistical indicator data; Z i Indicates the marking data corresponding to the current target area under the third preset condition of the statistical indicator data.

[0102] Optionally, according to the preset conditions of the statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area to obtain multiple statistical indicator data corresponding to each target area, including at least one of the following:

[0103] According to the quantity, type and time of medical waste generated by the statistical indicator data, the preset integration formula D = {d i |d i =(Mi , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area, and generate data indicators of medical waste generation of each medical structure in each target area;

[0104] According to the statistical indicator data of the transportation number conditions, transportation time conditions, and transportation vehicle information conditions of different transportation routes in the medical waste transportation process, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively integrate the marked data corresponding to each target area to generate medical waste transportation data indicators for each medical structure in each target area;

[0105] According to the statistical indicator data of each medical institution's treatment method, treatment volume, and treatment result conditions for medical waste, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area, and generate data indicators of medical waste treatment status of each medical structure in each target area;

[0106] According to the statistical indicator data of the reuse method conditions, reuse quantity conditions, and quantity conditions of recycled products after medical waste treatment, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, perform data integration processing on the marked data corresponding to each target area, and generate post-medical waste treatment data indicators for each medical structure in each target area.

[0107] Optionally, a corresponding medical waste treatment process status report is generated according to the statistical indicator data, including:

[0108] Generate a report on the medical waste generation process based on the medical waste generation data indicators;

[0109] Generate a medical waste transportation process report based on medical waste transportation data indicators;

[0110] Generate a medical waste treatment process report based on medical waste treatment data indicators;

[0111] Generate a medical waste post-treatment process report based on the post-medical waste treatment data indicators.

[0112] Optionally, analyzing and processing the medical waste treatment process status report to generate target treatment data includes:

[0113] Integrate all the medical waste treatment process status reports to generate an integrated report;

[0114] According to the integrated report, the integrated report is compared and analyzed through preset conditions, the abnormal data is output, and the target processing data is generated.

[0115] Optionally, the medical waste data processing system further includes:

[0116] Analyze and process the current medical waste treatment process status report according to the historical data of each medical waste treatment process status report to generate corresponding analysis data;

[0117] Based on the analysis data, an early warning prompt is issued.

[0118] In a preferred embodiment, the medical waste data processing system further includes a data sharing interface, a communication module and a user management module;

[0119] Among them, the data sharing interface can realize comprehensive data sharing of the medical waste treatment process; the user management module provides a user interface, and staff can view the real-time data, historical records and statistical reports of medical waste treatment through the platform; the communication module supports multiple network protocols (such as Wi-Fi, LoRa, NB-IoT, etc.), and can transmit the processed data to the monitoring platform in real time to ensure the timeliness and security of the data.

[0120] The medical waste data processing system described in the present invention can monitor the generation, transportation and treatment process of medical waste in real time to ensure the transparency and traceability of information; the processing module can trace the entire process of medical waste treatment to ensure that the information of each link is traceable; the system can generate various monitoring reports; the user management module supports multi-user management to ensure that different staff members can access corresponding data and functions according to their permissions; the medical waste data processing system of the present invention has the advantages of reasonable structure, convenient operation, stable data transmission, etc., can realize comprehensive monitoring and data sharing of the medical waste treatment process, and improve the transparency and compliance of medical waste treatment.

[0121] It should be noted that the system is a system corresponding to the above-mentioned method, and all implementation methods in the above-mentioned method are applicable to the embodiments of the system and can achieve the same technical effects.

[0122] The embodiment of the present invention further provides a computing device, comprising: a processor and a memory storing a computer program, wherein the computer program executes the above method when executed by the processor. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0123] The embodiment of the present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the above method. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effect.

[0124] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0125] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0126] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0127] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0128] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0129] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0130] In addition, it should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0131] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0132] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A medical waste data processing method, characterized in that: Applied to a medical waste data processing system, the method comprises: Obtain various medical waste data to be processed; Preprocessing all the medical waste data to be processed respectively to obtain multiple statistical indicator data; Generate a corresponding medical waste treatment process status report based on the statistical indicator data; The medical waste treatment process status report is analyzed and processed to generate target treatment data, which is then output and displayed visually.

2. The medical waste data processing method according to claim 1, characterized in that: All the medical waste data to be processed are pre-processed to obtain multiple statistical indicator data, including: Each of the medical waste data to be processed is cleaned, outliers, duplicate values, missing values ​​are removed, and format conversion is performed to obtain pre-processed data corresponding to each medical waste data to be processed; The pre-processed data are integrated to obtain a plurality of statistical indicator data.

3. The medical waste data processing method according to claim 2, characterized in that: The pre-processed data is integrated to obtain multiple statistical indicator data, including: According to the target area corresponding to each preprocessed data, each preprocessed data is marked by using the identifier of the target area to obtain the marked data corresponding to each target area; According to the preset conditions of statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area to obtain multiple statistical indicator data corresponding to each target area; Where D represents the statistical indicator data of the current target area, i represents the identifier of the target area corresponding to the current data, and M i Indicates the medical institution corresponding to the current target area, Q i represents the label data corresponding to the current target area under the first preset condition of the statistical indicator data; T i Indicates the label data corresponding to the current target area under the second preset condition of the statistical indicator data; Z i Indicates the marking data corresponding to the current target area under the third preset condition of the statistical indicator data.

4. The medical waste data processing method according to claim 3, characterized in that: According to the preset conditions of statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area to obtain multiple statistical indicator data corresponding to each target area, including at least one of the following: According to the quantity, type and time of medical waste generated by the statistical indicator data, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area, and generate data indicators of medical waste generation of each medical structure in each target area; According to the statistical indicator data of the transportation number conditions, transportation time conditions, and transportation vehicle information conditions of different transportation routes in the medical waste transportation process, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively integrate the marked data corresponding to each target area to generate medical waste transportation data indicators for each medical structure in each target area; According to the statistical indicator data of each medical institution's treatment method, treatment volume, and treatment result conditions for medical waste, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, respectively perform data integration processing on the marked data corresponding to each target area, and generate data indicators of medical waste treatment status of each medical structure in each target area; According to the statistical indicator data of the reuse method conditions, reuse quantity conditions, and quantity conditions of recycled products after medical waste treatment, the preset integration formula D = {d i |d i =(M i , Q i , T i , Z i )}, perform data integration processing on the marked data corresponding to each target area, and generate post-medical waste treatment data indicators for each medical structure in each target area.

5. The medical waste data processing method according to claim 4, characterized in that: Generate a corresponding medical waste treatment process status report based on the statistical indicator data, including: Generate a report on the medical waste generation process based on the medical waste generation data indicators; Generate a medical waste transportation process report based on medical waste transportation data indicators; Generate a medical waste treatment process report based on medical waste treatment data indicators; Generate a medical waste post-treatment process report based on the post-medical waste treatment data indicators.

6. The medical waste data processing method according to claim 1, characterized in that: Analyze and process the medical waste treatment process status report to generate target treatment data, including: Integrate all the medical waste treatment process status reports to generate an integrated report; According to the integrated report, the integrated report is compared and analyzed through preset conditions, the abnormal data is output, and the target processing data is generated.

7. The medical waste data processing method according to claim 1, characterized in that: Also includes: Analyze and process the current medical waste treatment process status report according to the historical data of each medical waste treatment process status report to generate corresponding analysis data; Based on the analysis data, an early warning prompt is issued.

8. A medical waste data processing system, characterized in that: include: An acquisition module is used to acquire various medical waste data to be processed; The processing module is used to pre-process all the medical waste data to be processed to obtain multiple statistical indicator data; generate a corresponding medical waste treatment process status report based on the statistical indicator data; analyze and process the medical waste treatment process status report to generate target processing data, and perform visual output display.

9. A computing device, characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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