CN115662588B - Regional medical disinfection supply-based full-flow information tracing system and method - Google Patents

Abstract

The invention relates to the technical field of whole-flow information tracing of medical disinfection supply, in particular to a regional medical disinfection supply-based whole-flow information tracing system and method, comprising a history disinfection data acquisition module, a flow anomaly judgment module, an initial position set analysis module, a target position determination module and an early warning transmission module; the history disinfection and sterilization data acquisition module is used for acquiring history disinfection and sterilization data of medical supplies which are qualified for the first disinfection in the medical disinfection supply process; the flow anomaly judgment module is used for analyzing whether flow anomalies exist in the real-time disinfection and sterilization data; the initial position set analysis module is used for positioning and analyzing an initial position set for generating abnormal disinfection and sterilization data; the target position determining module is used for determining a target position based on the medical disinfection supply full-flow information corresponding to the position in the set; the early warning transmission module is used for carrying out early warning reminding or newly-added recording and storing.

Description

Regional medical disinfection supply-based full-flow information tracing system and method

Technical Field

The invention relates to the technical field of full-flow information tracing of medical disinfection supply, in particular to a regional medical disinfection supply-based full-flow information tracing system and method.

Background

With the progress of society, the medical level is continuously improved, a medical disinfection supply center serves as an important center of a medical institution and is responsible for the cleaning, disinfection, sterilization and other works of reusable medical supplies in all departments in a hospital, and the quality of the medical supplies has close relation with the life health of patients, the infection in the hospital and the quality of medical care. However, for the medical disinfection supply center to receive medical supplies from different medical institutions after use, unified disinfection standards of reusable medical supplies from different sources cannot be formulated in a self-adaptive manner, the whole flow information data of medical disinfection supply is huge, and whether the reusable medical supplies need specific treatment cannot be rapidly analyzed by people, so that abnormal disinfection data such as the problem that disinfection is repeated for a plurality of times is generated on some reusable medical supplies; and the medical disinfection center and the medical institution belong to two independent individuals, and communication processing of reusable medical supplies cannot be efficiently established, and the source of abnormality of disinfection and sterilization data cannot be rapidly determined, so that the working efficiency of the medical disinfection center is reduced.

Disclosure of Invention

The invention aims to provide a regional medical disinfection supply-based full-flow information tracing system and method, so as to solve the problems in the background technology.

In order to solve the technical problems, the invention provides the following technical scheme: the regional medical disinfection supply-based full-flow information tracing method comprises the following steps:

step S1: acquiring historical disinfection and sterilization data of reusable medical supplies in a medical disinfection supply process, wherein the disinfection and sterilization data refers to a disinfection and sterilization process and a disinfection and sterilization mode of a medical disinfection supply center for recycling the reusable medical supplies to a medical institution; judging and analyzing whether the real-time disinfection and sterilization data has abnormal flow based on the historical disinfection and sterilization data; the reusable medical supplies refer to reusable medical disinfection supplies including medical instruments, appliances, medical fabrics and the like;

step S2: when the disinfection and sterilization data are abnormal, acquiring the whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data, and performing positioning analysis to generate an initial position set of the abnormal disinfection and sterilization data;

step S3: based on the initial position set, when the number in the initial position set is unique, the initial position is the target position, and the step S4 is performed; when the number in the initial position set is not the same, determining a target position based on the medical disinfection supply full-flow information corresponding to the position in the set;

Step S4: based on the target position, carrying out early warning and reminding on the target position under the condition that the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process is the same; and when the target position is different from the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process, newly recording and storing the disinfection and sterilization data of the medical supplies which are analyzed to be abnormal and reusable and the corresponding whole process information.

Further, in step S1, based on the historical disinfection and sterilization data, whether the flow of the real-time disinfection and sterilization data is abnormal is judged and analyzed, which includes the following steps:

acquiring history sterilization data I which is qualified in first sterilization in history sterilization data, acquiring sterilization modes of the history sterilization data I, distinguishing reusable medical supplies according to different types of sterilization modes, and acquiring a sterilization process set G of the j-th reusable medical supplies in the i-th sterilization mode _ij And disinfection and sterilization process set G _ij Kth node disinfection and sterilization process g of jth reusable medical supplies in the medical devices _jk The node disinfection and sterilization process refers to all steps from the beginning to the end of disinfection corresponding to the ith disinfection and sterilization mode of the reusable medical supplies, and each step corresponds to one node disinfection and sterilization process;

Comparing node disinfection and sterilization process similarity of n reusable medical supplies in the ith disinfection and sterilization mode, and calculating similarity proportion s corresponding to the first disinfection and sterilization process set Gi _i ，s _i ＝a _i /A _i N is greater than or equal to j, n represents the type number of the reusable medical supplies;

wherein a is _i Representing a first sterilization process set G _i The similarity of the disinfection and sterilization processes of all nodes of any two reusable medical supplies is greater than or equal to the number of reusable medical supplies corresponding to a similarity threshold value, A _i Representing a first sterilization process set G _i The total number of reusable medical supplies; first disinfection and sterilization process set G _i Representing the corresponding disinfection and sterilization process sets of different reusable medical supplies under the same disinfection and sterilization mode;

when the similarity ratio s _i When the method is=1, outputting the reusable medical supplies corresponding to the ith disinfection and sterilization mode as first medical supplies, and generating a corresponding first disinfection and sterilization flow;

when the similarity ratio s _i When the number of the medical supplies is not equal to 1, outputting the reusable medical supplies corresponding to the ith disinfection and sterilization mode as second medical supplies, and generating a corresponding second disinfection and sterilization flowA collection;

The first medical supplies and the second medical supplies are distinguished to judge whether the disinfection and sterilization process is a single process or not, so that the disinfection and sterilization data acquired in real time are convenient to carry out comparison analysis, the range of data analysis is reduced, and the accuracy and the effectiveness of the real-time disinfection and sterilization data analysis are improved;

judging the type of the reusable medical supplies corresponding to the real-time acquired disinfection and sterilization data, and outputting real-time disinfection and sterilization data abnormality if the disinfection and sterilization flow in the real-time disinfection and sterilization data is not equal to the first disinfection and sterilization flow when the type of the reusable medical supplies analyzed in real time is the first medical supplies; when the type of the reusable medical supplies analyzed in real time is the second medical supplies, if the disinfection and sterilization process in the real-time disinfection and sterilization data does not belong to the second disinfection and sterilization process set, outputting the real-time disinfection and sterilization data to be abnormal.

Further, step S2 includes the steps of:

acquiring whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data, wherein the whole flow information comprises transportation section information, disinfection treatment section information and usage section information, the transportation section information refers to time data recorded in the process of conveying the qualified reusable medical supplies, and the usage section information refers to all information records generated before conveying the qualified reusable medical supplies to a medical institution and recycling; the disinfection treatment section information is information recorded by the disinfection treatment of the reusable medical supplies after the medical institutions use;

Acquiring a processing batch corresponding to abnormal disinfection and sterilization data in disinfection processing section information as a target batch, and the number m of medical supplies corresponding to the number m of reusable medical supplies when the abnormal disinfection and sterilization data is the same under the target batch ₁ And total number M of reusable medical supplies in a target lot ₁ The method comprises the steps of carrying out a first treatment on the surface of the Calculating an abnormal occurrence ratio h;

wherein m is ₂ Representing the number of reusable medical supplies corresponding to the same abnormal disinfection and sterilization data in the adjacent batches of the target batch, M ₂ Representing the total number of reusable medical supplies corresponding to the abnormal disinfection and sterilization data under the adjacent target batch; alpha ₁ +α ₂ ＝0，α ₁ 、α ₂ Representing the reference coefficients; the adjacent batch can be the previous batch or the next batch of the target batch, whether the reason for analyzing the abnormal disinfection and sterilization data of the adjacent batch is related to the disinfection equipment or not is the problem of the disinfection equipment, if the reason is the problem of the disinfection equipment, the reusable medical supplies corresponding to the abnormal disinfection and sterilization data in the same batch are not necessarily unique, and the disinfection and sterilization data of the adjacent batch still possibly have abnormal problems;

presetting an abnormal occurrence ratio threshold h ₀ When h is greater than or equal to h ₀ Outputting abnormal positions of abnormal disinfection and sterilization data as disinfection treatment sections, and transmitting early warning signals to a medical disinfection supply center; when h <h ₀ Continuously analyzing the initial position;

acquiring historical transportation section information and historical usage section information of reusable medical supplies in the historical whole-flow information corresponding to abnormal disinfection and sterilization data, and comparing similarity r of the real-time transportation section information corresponding to the real-time abnormal disinfection and sterilization data and the historical transportation section information ₁ Similarity r between real-time usage section information corresponding to real-time abnormal disinfection and sterilization data and history usage section information ₂ ；

Setting a similarity threshold r ₀ When r is present ₁ <r ₀ And r is ₂ <r ₀ Output initial position set D ₁ ，D ₁ = { transport segment, use segment }; when r is present ₁ <r ₀ And r is ₂ ≥r ₀ Output initial position set D ₂ ，D ₂ = { transport segment }; when r is ₂ <r ₀ And r is ₁ ≥r ₀ Output initial position set D ₃ ，D ₃ = { use segment }.

The analysis of the similarity is because the greater the similarity of the reusable medical supplies corresponding to the abnormal sterilization data in the same position section of the historical data, the less likely the position section causes the abnormal sterilization data, and the greater the influence of the position section on the abnormal sterilization data when the same reusable medical supplies such as medical instruments are in a certain position section and have larger differences from the historical data.

Further, determining the target location based on the intra-set location corresponding medical disinfection supply full-process information includes the steps of:

Acquiring historical disinfection and sterilization data, and extracting first target disinfection and sterilization data in the historical disinfection and sterilization data; the first target disinfection and sterilization data simultaneously meets the first condition and the second condition; the first condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the whole flow information transportation section is greater than or equal to a similarity threshold value, and the second condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the whole flow information use section is smaller than the similarity threshold value; using the formula:

calculating a usage difference index f in the case of usage segment differences ₁ Wherein r is ₁ The number of types of the using segments in the whole flow information corresponding to the abnormal sterilization data in the first target sterilization data is represented by R ₁ Representing the total number of the types of the corresponding use sections of the first target disinfection and sterilization data; z ₁ Z represents the same number as the abnormal sterilization data in the first target sterilization data ₁ Representing the total number of the first target sterilization data acquisitions;

setting a usage difference index threshold f ₀₁ When f ₁ ≥f ₀₁ Continuously analyzing the transport section when the transport section is in the same state; when f ₁ <f ₀₁ Outputting the use section as a target position;

acquiring historical disinfection and sterilization data, and extracting second target disinfection and sterilization data in the historical disinfection and sterilization data; the second target disinfection and sterilization data simultaneously meets a third condition and a fourth condition, wherein the third condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the whole flow information transportation section is smaller than a similarity threshold value, and the fourth condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the whole flow information use section is larger than or equal to the similarity threshold value; using the formula:

Calculating a transport difference index f in case of transport section differences ₂ Wherein r is ₂ The number of the types of the transportation sections in the whole flow information corresponding to the abnormal disinfection and sterilization data in the second target disinfection and sterilization data is represented, R ₂ Representing the total number of the second target disinfection and sterilization data corresponding to the type of the transportation section; z ₂ Z represents the same number as the abnormal sterilization data in the second target sterilization data ₂ Representing the total number of second target sterilization data acquisitions;

setting a usage difference index threshold f ₀₂ When f ₂ ≥f ₀₂ When the method is used, the abnormal disinfection and sterilization data and the corresponding whole flow information are newly recorded and stored; when f ₂ <f ₀₂ And outputting the transport section as a target position.

The analysis and determination of the target position is to determine the source position of the abnormal disinfection and sterilization data in the whole flow information, and the data in the position can be effectively monitored after the source position is determined, so that the monitoring range of huge data in the whole flow information is reduced. Further, the type of transport section includes the following analysis steps:

acquiring transport duration t recorded in transport section in the last full-flow information in historical data of the same medical institution _u The transportation time is the time for transportation of the reusable medical supplies recovered from the medical institutions in the cleaning path of the supply center, and the transportation time t is _u Sequencing from small to large, using maleThe formula:

calculating the basic interval duration t ₀ Wherein v is _c Representing the difference in the length of time of any two shipments c, p represents the total number of transport duration recorded in the transport section, and p is more than or equal to u;

obtaining the minimum value mint of the transportation time length _u The kinds of transportation sections are mint _u +t ₀ As a first kind, at interval t ₀ And (5) sequentially classifying.

The regional medical disinfection supply-based full-flow information tracing system comprises a historical disinfection and sterilization data acquisition module, a flow abnormality judgment module, an initial position set analysis module, a target position determination module and an early warning transmission module;

the history disinfection and sterilization data acquisition module is used for acquiring history disinfection and sterilization data of reusable medical supplies in the medical disinfection supply process;

the flow anomaly judgment module is used for judging and analyzing whether flow anomalies exist in the real-time disinfection and sterilization data based on the historical disinfection and sterilization data;

the initial position set analysis module is used for acquiring the whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data, and positioning analysis is performed to generate an initial position set of the abnormal disinfection and sterilization data;

the target position determining module is used for determining a target position based on the medical disinfection supply full-flow information corresponding to the position in the set;

The early warning transmission module is used for carrying out early warning and reminding on the target position under the condition that the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process is the same as the information recorded by the target position corresponding to the abnormal disinfection and sterilization data based on the target position; and when the target position is different from the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process, newly recording and storing the disinfection and sterilization data of the medical supplies which are analyzed to be abnormal and reusable and the corresponding whole process information.

Further, the flow anomaly judging module comprises a disinfection and sterilization mode distinguishing unit, a disinfection and sterilization flow extracting unit, a similarity proportion calculating unit and a disinfection and sterilization data judging unit;

the disinfection and sterilization mode distinguishing unit is used for obtaining a disinfection and sterilization mode to distinguish the reusable medical supplies according to different types of disinfection and sterilization modes;

the disinfection and sterilization process extraction unit is used for extracting the node disinfection and sterilization process of the medical supplies which can be reused after being distinguished;

the similarity proportion calculating unit is used for calculating the similarity of the node disinfection and sterilization process;

the disinfection and sterilization data judging unit is used for judging based on the disinfection and sterilization processes output by the numerical values of different similarity proportions and the disinfection and sterilization processes acquired in real time so as to determine whether the disinfection and sterilization data are abnormal or not.

Further, the initial position set analysis module comprises a full-flow information acquisition unit, an abnormal occurrence ratio calculation unit, a similarity comparison unit and an initial position set analysis unit;

the whole flow information acquisition unit is used for acquiring whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data;

the abnormal occurrence ratio calculating unit is used for calculating an abnormal occurrence ratio based on the number of medical supplies and the total number of the medical supplies which are corresponding to the same as the abnormal disinfection and sterilization data in the target batch and the adjacent target batches in the disinfection treatment section and determining whether the abnormal position is the disinfection treatment section;

the similarity comparison unit is used for comparing the similarity of the transportation section and the using section respectively;

the initial position set analysis unit is used for outputting a position based on the result of the similarity comparison unit.

Further, the target position determining module comprises a target disinfection and sterilization data extracting unit, a using difference index calculating unit, a transportation section analyzing unit and a target position determining unit;

the target disinfection and sterilization data extraction unit is used for extracting first target disinfection and sterilization data and second target disinfection and sterilization data;

the usage difference index calculation unit is used for calculating a usage difference index corresponding to the first target disinfection and sterilization data and calculating a usage difference index corresponding to the second target disinfection and sterilization data;

The transportation section analysis unit is used for determining that the second target disinfection and sterilization data corresponds to calculation of transportation section types in the use difference index;

the target position determining unit determines the target position based on the result of using the difference index calculating unit.

Compared with the prior art, the invention has the following beneficial effects: according to the invention, through the information record of the whole process of regional medical disinfection supply, disinfection and sterilization data generated in the disinfection treatment stage are analyzed to judge whether abnormal disinfection and sterilization data exist, and the disinfection supply process is subjected to three major segmentation based on the whole process information of the medical supplies which correspond to the abnormal disinfection and sterilization data and can be reused, so that source position segments causing the abnormality are sequentially examined; in addition, when the abnormal source position is obtained through analysis, the invention further monitors whether the abnormal source position has the same data recorded in the same position with the abnormal disinfection and sterilization data, if so, the invention carries out early warning reminding, reduces the investigation range of the abnormal data, and carries out early warning on the generation of the abnormal disinfection and sterilization data, thereby avoiding the problem that the repeatable medical supplies are abnormal or incomplete in disinfection caused by the abnormality at the target position in the whole process of returning and sterilizing from the source of the occurrence of the problem, forming closed loop circulation through the data analysis of the whole flow information, and increasing the digital communication between the medical disinfection supply center and the medical institution; the effectiveness of medical disinfection supply is improved.

Drawings

The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:

FIG. 1 is a schematic diagram of a regional medical disinfection supply-based full-flow information traceability system;

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1, the present invention provides the following technical solutions: the regional medical disinfection supply-based full-flow information tracing method comprises the following steps:

step S1: acquiring historical disinfection and sterilization data of reusable medical supplies in a medical disinfection supply process, wherein the disinfection and sterilization data refers to a disinfection and sterilization process and a disinfection and sterilization mode of a medical disinfection supply center for recycling the reusable medical supplies to a medical institution; judging and analyzing whether the real-time disinfection and sterilization data has abnormal flow based on the historical disinfection and sterilization data; the reusable medical supplies refer to reusable medical disinfection supplies including medical instruments, appliances, medical fabrics and the like;

Step S2: when the disinfection and sterilization data are abnormal, acquiring the whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data, and performing positioning analysis to generate an initial position set of the abnormal disinfection and sterilization data;

step S3: based on the initial position set, when the number in the initial position set is unique, the initial position is the target position, and the step S4 is performed; when the number in the initial position set is not the same, determining a target position based on the medical disinfection supply full-flow information corresponding to the position in the set;

step S4: based on the target position, carrying out early warning and reminding on the target position under the condition that the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process is the same; and when the target position is different from the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process, newly recording and storing the disinfection and sterilization data of the medical supplies which are analyzed to be abnormal and reusable and the corresponding whole process information.

If the target position is analyzed to be a using section and the information recorded by the abnormal disinfection and sterilization data corresponding to the using section is the operation content 1, then early warning is carried out when the reusable medical supplies are monitored to be in the using section in real time and the recorded information is also the operation content 1 in the whole process.

In step S1, based on the historical disinfection and sterilization data, whether the real-time disinfection and sterilization data has abnormal flow is judged and analyzed, which comprises the following steps:

acquiring history sterilization data I which is qualified in first sterilization in history sterilization data, acquiring sterilization modes of the history sterilization data I, distinguishing reusable medical supplies according to different types of sterilization modes, and acquiring a sterilization process set G of the j-th reusable medical supplies in the i-th sterilization mode _ij And disinfection and sterilization process set G _ij Kth node disinfection and sterilization process g of jth reusable medical supplies in the medical devices _jk The node disinfection and sterilization process refers to all steps from the beginning to the end of disinfection corresponding to the ith disinfection and sterilization mode of the reusable medical supplies, and each step corresponds to one node disinfection and sterilization process;

comparing node disinfection and sterilization process similarity of n reusable medical supplies in the ith disinfection and sterilization mode, and calculating similarity proportion s corresponding to the first disinfection and sterilization process set Gi _i ，s _i ＝a _i /A _i N is greater than or equal to j, n represents the type number of the reusable medical supplies;

wherein a is _i Representing a first sterilization process set G _i The similarity of the disinfection and sterilization processes of all nodes of any two reusable medical supplies is larger than or equal to one anotherThe number of reusable medical supplies corresponding to the similarity threshold value A _i Representing a first sterilization process set G _i The total number of reusable medical supplies; first disinfection and sterilization process set G _i Representing the corresponding disinfection and sterilization process sets of different reusable medical supplies under the same disinfection and sterilization mode;

when the similarity ratio s _i When the method is=1, outputting the reusable medical supplies corresponding to the ith disinfection and sterilization mode as first medical supplies, and generating a corresponding first disinfection and sterilization flow; the first medical supplies are identical in disinfection and sterilization flow under the same disinfection and sterilization mode;

when the similarity ratio s _i When the number of the medical supplies is not equal to 1, outputting a reusable medical supply corresponding to the ith disinfection and sterilization mode as a second medical supply, and generating a corresponding second disinfection and sterilization flow set; the second medical supplies are various types of disinfection and sterilization processes in the same disinfection and sterilization mode;

the first medical supplies and the second medical supplies are distinguished to judge whether the disinfection and sterilization process is a single process or not, so that the disinfection and sterilization data acquired in real time are convenient to carry out comparison analysis, the range of data analysis is reduced, and the accuracy and the effectiveness of the real-time disinfection and sterilization data analysis are improved;

The disinfection of the reusable medical articles is as follows:

the dry heat sterilization method, the wet heat sterilization method, the gas sterilization method, the radiation sterilization method and the filtration sterilization method naturally correspond to different treatment processes for different sterilization methods; and the specific treatment process may have larger or smaller differences due to the differences of the same type of reusable medical supplies;

judging the type of the reusable medical supplies corresponding to the real-time acquired disinfection and sterilization data, and outputting real-time disinfection and sterilization data abnormality if the disinfection and sterilization flow in the real-time disinfection and sterilization data is not equal to the first disinfection and sterilization flow when the type of the reusable medical supplies analyzed in real time is the first medical supplies; when the type of the reusable medical supplies analyzed in real time is the second medical supplies, if the disinfection and sterilization process in the real-time disinfection and sterilization data does not belong to the second disinfection and sterilization process set, outputting the real-time disinfection and sterilization data to be abnormal. The abnormal disinfection and sterilization data can be that disinfection and sterilization are not thoroughly performed, so that disinfection and sterilization process time of a certain node in the disinfection and sterilization processes exceeds a threshold value.

Step S2 comprises the steps of:

Acquiring whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data, wherein the whole flow information comprises transportation section information, disinfection treatment section information and usage section information, the transportation section information refers to time data recorded in the process of conveying the qualified reusable medical supplies, and the usage section information refers to all information records generated before conveying the qualified reusable medical supplies to a medical institution and recycling; the disinfection treatment section information is information recorded by the disinfection treatment of the reusable medical supplies after the medical institutions use;

acquiring a processing batch corresponding to abnormal disinfection and sterilization data in disinfection processing section information as a target batch, and the number M1 of reusable medical supplies corresponding to the same abnormal disinfection and sterilization data under the target batch and the total number M1 of reusable medical supplies under the target batch; calculating an abnormal occurrence ratio h;

wherein m is ₂ Representing the number of reusable medical supplies corresponding to the same abnormal disinfection and sterilization data in the adjacent batches of the target batch, M ₂ Representing the total number of reusable medical supplies corresponding to the abnormal disinfection and sterilization data under the adjacent target batch; alpha ₁ +α ₂ ＝0，α ₁ 、α ₂ Representing the reference coefficients; can be provided with alpha ₁ ＝0.45，α ₂ =0.55; the adjacent batch can be the previous batch or the next batch of the target batch, and the purpose of analyzing the adjacent batch is to analyze whether the reasons caused by abnormal disinfection and sterilization data are the same asIf the disinfection equipment is related to the self-problem of the disinfection equipment, the reusable medical supplies corresponding to the abnormal disinfection and sterilization data in the same batch are not necessarily unique, and the disinfection and sterilization data in adjacent batches still can have abnormal problems;

as shown in the examples: the abnormal disinfection and sterilization data is that the disinfection and sterilization process of the surgical knife No. 1 is repeated for a plurality of times; the corresponding reusable medical supplies are surgical knife No. 1; and the existing batch is a third batch, and 50 reusable medical supplies sterilized in the third batch are provided; 47 reusable medical supplies which are in the third batch and have repeated disinfection and sterilization processes for a plurality of times with the No. 1 scalpel abnormality;

60 reusable medical supplies of the fourth adjacent batch are provided, and 56 reusable medical supplies of the fourth batch, which are in abnormal repeated disinfection and sterilization processes with the No. 1 scalpel, are provided;

then an anomaly occurrence ratio h=0.423+0.513=0.936 can be calculated, setting h ₀ =0.6, outputting abnormal disinfection and sterilization data, wherein the abnormal position is a disinfection treatment section;

presetting an abnormal occurrence ratio threshold h ₀ When h is greater than or equal to h ₀ Outputting abnormal positions of abnormal disinfection and sterilization data as disinfection treatment sections, and transmitting early warning signals to a medical disinfection supply center; when h<h ₀ Continuously analyzing the initial position; when the analysis judges that the abnormal disinfection and sterilization data is caused by the abnormality of the disinfection treatment section, the problem of data abnormality can be solved by directly checking the abnormality of the analysis equipment in the medical disinfection supply center, and the abnormality treatment measures can be directly carried out in the link of data abnormality generation, so that the problem solving efficiency of the abnormality can be effectively improved; if the link of abnormal data is not the link of data generation, the specific abnormal position in the whole flow needs to be further determined;

acquiring historical transportation section information and historical usage section information of reusable medical supplies in the historical whole-flow information corresponding to abnormal disinfection and sterilization data, and comparing similarity r of the real-time transportation section information corresponding to the real-time abnormal disinfection and sterilization data and the historical transportation section information ₁ And real-time differenceSimilarity r between real-time usage section information and historical usage section information corresponding to normal disinfection and sterilization data ₂ ；

Because the disinfection of the reusable medical supplies is to enable the reusable medical supplies to be reused, for the same reusable medical supplies, for example, the information of the usage section of a scalpel in the history whole flow information can be operation content b1, operation time c1, operation personnel d1, postoperative treatment e1 and the like, and the information in the transportation section can be a transportation path of 6.7km, and the transportation time is 40min; then the real-time using section information corresponding to the real-time abnormal disinfection and sterilization data can be the operation content b2, the operation time c1, the operator d1 and the postoperative treatment e2, and the transportation section information can be the transportation path of 5.9km, and the transportation time length is 37min; setting the similarity of the surgical contents of the same type to be far higher than the similarity of the surgical contents of different types when the similarity of the surgical contents is compared; the operation time reflects the operation difficulty and the utilization degree of the reusable medical supplies;

setting a similarity threshold r ₀ When r is present ₁ <r ₀ And r is ₂ <r ₀ Output initial position set D ₁ ，D ₁ = { transport segment, use segment }; when r is present ₁ <r ₀ And r is ₂ ≥r ₀ Output initial position set D ₂ ，D ₂ = { transport segment }; when r is ₂ <r ₀ And r is ₁ ≥r ₀ Output initial position set D ₃ ，D ₃ = { use segment }.

The analysis of the similarity is because the greater the similarity of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data in the same position section of the historical data, the less the possibility that the position section causes the abnormality of the disinfection and sterilization data, and the greater the influence of the position section on the abnormality of the disinfection and sterilization data when the reusable medical supplies in a certain position section are different from the historical data. If the No. 1 scalpel is basically present in the surgical operation b1 in the history data, the No. 1 scalpel corresponding to the abnormal sterilization data monitored in real time records the surgical operation b2 in the flow information of the usage section, and the surgical operation b1 and the surgical operation b2 belong to different types of operations, the reason caused by the abnormal sterilization data can be initially located in the usage section in the whole flow information, for example, organic matters remain on the scalpel after the surgical operation b2, so that the difference of the history data is generated in the sterilization process flow.

Determining a target location based on the intra-set location corresponding medical disinfection supply full-process information, comprising the steps of:

acquiring historical disinfection and sterilization data, and extracting first target disinfection and sterilization data in the historical disinfection and sterilization data; the first target disinfection and sterilization data simultaneously meets the first condition and the second condition; the first condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the whole flow information transportation section is greater than or equal to a similarity threshold value, and the second condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the whole flow information use section is smaller than the similarity threshold value; using the formula:

calculating a usage difference index f in the case of usage segment differences ₁ Wherein r is ₁ The number of types of the using segments in the whole flow information corresponding to the abnormal sterilization data in the first target sterilization data is represented by R ₁ Representing the total number of the types of the corresponding use sections of the first target disinfection and sterilization data; z ₁ Z represents the same number as the abnormal sterilization data in the first target sterilization data ₁ Representing the total number of the first target sterilization data acquisitions;

setting a usage difference index threshold f ₀₁ When f ₁ ≥f ₀₁ Continuously analyzing the transport section when the transport section is in the same state; when f ₁ <f ₀₁ Outputting the use section as a target position;

as shown in the examples: because the first target sterilization data is the condition that the transportation sections in the whole-flow information section are kept similar and the usage sections are not similar, the corresponding usage sections can be classified according to types, such as operation in the usage sectionsContent 1, surgical content 2, surgical content 3, and surgical content 4; r is (r) ₁ Then it is indicated that the same data in the corresponding overall process as the real-time monitored abnormal sterilization data in the first target sterilization data is present in relation to several types in the usage segment, e.g., r ₁ When=3, it can be explained that the abnormal sterilization data in the first target sterilization data is derived from three different usage segment information, i.e. it can be explained that the abnormal probability of the first target sterilization data under this type of comparative analysis has a small influence relationship with the usage segment, if r ₁ =1, then it indicates that the abnormality exists only in one type of surgery, and then it indicates that the abnormality of the data may be associated with certain information in the usage segment;

acquiring historical disinfection and sterilization data, and extracting second target disinfection and sterilization data in the historical disinfection and sterilization data; the second target disinfection and sterilization data simultaneously meets a third condition and a fourth condition, wherein the third condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the whole flow information transportation section is smaller than a similarity threshold value, and the fourth condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the whole flow information use section is larger than or equal to the similarity threshold value; using the formula:

Calculating a transport difference index f in case of transport section differences ₂ Wherein r is ₂ The number of the types of the transportation sections in the whole flow information corresponding to the abnormal disinfection and sterilization data in the second target disinfection and sterilization data is represented, R ₂ Representing the total number of the second target disinfection and sterilization data corresponding to the type of the transportation section; z ₂ Z represents the same number as the abnormal sterilization data in the second target sterilization data ₂ Representing the total number of second target sterilization data acquisitions;

setting a usage difference index threshold f ₀₂ When f ₂ ≥f ₀₂ When the method is used, the abnormal disinfection and sterilization data and the corresponding whole flow information are newly added and recordedRecording and storing; when f ₂ <f ₀₂ And outputting the transport section as a target position.

The analysis and determination of the target position is to determine the source position of the abnormal disinfection and sterilization data in the whole flow information, and the data in the position can be effectively monitored after the source position is determined, so that the monitoring range of huge data in the whole flow information is reduced. Because the specificity of some surgical contents in a medical institution easily causes pollution of blood and organic matters to reusable medical supplies such as medical instruments, however, when the reusable medical supplies are transported easily to be difficult to be the same as the common reusable medical supplies in cleaning mode, abnormal disinfection and sterilization data which are similar to disinfection and not thoroughly needs to be repeated many times can be generated, in the follow-up record analysis corresponding to the whole flow information, early warning and reminding can be carried out when the same type of reusable medical supplies execute the type of surgery, and the early warning and reminding can be used for reminding medical staff to pretreat the reusable medical supplies so as to prevent the reusable medical supplies from cleaning after recovery to generate the abnormal disinfection and sterilization data, so that the analysis of the invention can realize the maximization of medical disinfection efficiency; meanwhile, when the analysis is that the transportation section can generate the abnormal problem, the early warning can be carried out when the transportation section data of the corresponding reusable medical supplies are identical with the transportation section data of the abnormal disinfection and sterilization data, so as to prompt a transportation manager to pay attention to the transportation duration of the reusable medical supplies.

The type of transport section comprises the following analysis steps:

acquiring transport duration t recorded in transport section in the last full-flow information in historical data of the same medical institution _u The transportation time is the time for transportation of the reusable medical supplies recovered from the medical institutions in the cleaning path of the supply center, and the transportation time t is _u Sequencing from small to large, using the formula:

calculating the basic interval duration t ₀ Wherein v is _c Representing the difference in the length of time of any two shipments c, p represents the total number of transport duration recorded in the transport section, and p is more than or equal to u;

obtaining the minimum value mint of the transportation time length _u The kinds of transportation sections are mint _u +t ₀ As a first kind, at interval t ₀ And (5) sequentially classifying.

The following examples are: if p=4, thenAnd mint _u When=40 min, t ₀ When the time is 12min,

[40, 52], [53, 65] represent a first category and a second category of transportation segments;

if 51min and 60min exist, 51min belongs to the first category and 60 belongs to the second category.

The regional medical disinfection supply-based full-flow information tracing system comprises a historical disinfection and sterilization data acquisition module, a flow abnormality judgment module, an initial position set analysis module, a target position determination module and an early warning transmission module;

The history disinfection and sterilization data acquisition module is used for acquiring history disinfection and sterilization data of reusable medical supplies in the medical disinfection supply process;

the flow anomaly judgment module is used for judging and analyzing whether flow anomalies exist in the real-time disinfection and sterilization data based on the historical disinfection and sterilization data;

the initial position set analysis module is used for acquiring the whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data, and positioning analysis is performed to generate an initial position set of the abnormal disinfection and sterilization data;

the target position determining module is used for determining a target position based on the medical disinfection supply full-flow information corresponding to the position in the set;

the early warning transmission module is used for carrying out early warning and reminding on the target position under the condition that the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process is the same as the information recorded by the target position corresponding to the abnormal disinfection and sterilization data based on the target position; and when the target position is different from the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process, newly recording and storing the disinfection and sterilization data of the medical supplies which are analyzed to be abnormal and reusable and the corresponding whole process information.

The flow anomaly judging module comprises a disinfection and sterilization mode distinguishing unit, a disinfection and sterilization flow extracting unit, a similarity proportion calculating unit and a disinfection and sterilization data judging unit;

The disinfection and sterilization mode distinguishing unit is used for obtaining a disinfection and sterilization mode to distinguish the reusable medical supplies according to different types of disinfection and sterilization modes;

the disinfection and sterilization process extraction unit is used for extracting the node disinfection and sterilization process of the medical supplies which can be reused after being distinguished;

the similarity proportion calculating unit is used for calculating the similarity of the node disinfection and sterilization process;

the disinfection and sterilization data judging unit is used for judging based on the disinfection and sterilization processes output by the numerical values of different similarity proportions and the disinfection and sterilization processes acquired in real time so as to determine whether the disinfection and sterilization data are abnormal or not.

The initial position set analysis module comprises a full-flow information acquisition unit, an abnormal occurrence ratio calculation unit, a similarity comparison unit and an initial position set analysis unit;

the whole flow information acquisition unit is used for acquiring whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data;

the abnormal occurrence ratio calculating unit is used for calculating an abnormal occurrence ratio based on the number of medical supplies and the total number of the medical supplies which are corresponding to the same as the abnormal disinfection and sterilization data in the target batch and the adjacent target batches in the disinfection treatment section and determining whether the abnormal position is the disinfection treatment section;

The similarity comparison unit is used for comparing the similarity of the transportation section and the using section respectively;

the initial position set analysis unit is used for outputting an initial position based on the result of the similarity comparison unit.

The target position determining module comprises a target disinfection and sterilization data extracting unit, a using difference index calculating unit, a transportation section analyzing unit and a target position determining unit;

the target disinfection and sterilization data extraction unit is used for extracting first target disinfection and sterilization data and second target disinfection and sterilization data;

the usage difference index calculation unit is used for calculating a usage difference index corresponding to the first target disinfection and sterilization data and calculating a usage difference index corresponding to the second target disinfection and sterilization data;

the transportation section analysis unit is used for determining that the second target disinfection and sterilization data corresponds to calculation of transportation section types in the use difference index;

the target position determining unit determines the target position based on the result of using the difference index calculating unit.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. The regional medical disinfection supply-based full-flow information tracing method is characterized by comprising the following steps of:

step S1: acquiring historical disinfection and sterilization data of reusable medical supplies in a medical disinfection supply process, wherein the disinfection and sterilization data refers to a disinfection and sterilization process and a disinfection and sterilization mode of a medical disinfection supply center for recycling the reusable medical supplies to a medical institution; judging and analyzing whether the real-time disinfection and sterilization data has abnormal flow based on the historical disinfection and sterilization data;

step S2: when the disinfection and sterilization data are abnormal, acquiring the whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data, and performing positioning analysis to generate an initial position set of the abnormal disinfection and sterilization data;

Step S3: based on the initial position set, when the number in the initial position set is unique, the initial position is the target position, and the step S4 is performed; when the number in the initial position set is not the same, determining a target position based on the medical disinfection supply full-flow information corresponding to the position in the set;

the method for determining the target position based on the medical disinfection supply full-flow information corresponding to the positions in the set comprises the following steps:

acquiring historical disinfection and sterilization data, and extracting first target disinfection and sterilization data in the historical disinfection and sterilization data; the first target disinfection and sterilization data simultaneously meets a first condition and a second condition; the first condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the transportation section in the whole flow information is greater than or equal to a similarity threshold value, and the second condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the transportation section in the whole flow information is smaller than the similarity threshold value; using the formula:

calculating a usage difference index f in the case of usage segment differences ₁ Wherein r is ₁ The number of types of the using segments in the whole flow information corresponding to the abnormal sterilization data in the first target sterilization data is represented by R ₁ Representing the total number of the types of the corresponding use sections of the first target disinfection and sterilization data; z ₁ Z represents the same number as the abnormal sterilization data in the first target sterilization data ₁ Representing the total number of the first target sterilization data acquisitions;

setting a usage difference index threshold f ₀₁ When f ₁ ≥f ₀₁ Continuously analyzing the transport section when the transport section is in the same state; when f ₁ <f ₀₁ Outputting the use section as a target position;

acquiring historical disinfection and sterilization data, and extracting second target disinfection and sterilization data in the historical disinfection and sterilization data; the second target disinfection and sterilization data simultaneously meets a third condition and a fourth condition, wherein the third condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the transportation section in the whole flow information is smaller than a similarity threshold, and the fourth condition is that the similarity of the historical disinfection and sterilization data and the real-time monitored abnormal disinfection and sterilization data in the use section in the whole flow information is larger than or equal to the similarity threshold; using the formula:

calculating a transport difference index f in case of transport section differences ₂ Wherein r is ₂ The number of the types of the transportation sections in the whole flow information corresponding to the abnormal disinfection and sterilization data in the second target disinfection and sterilization data is represented, R ₂ Representing the total number of the second target disinfection and sterilization data corresponding to the type of the transportation section; z ₂ Z represents the same number as the abnormal sterilization data in the second target sterilization data ₂ Representation ofThe total number of the second target disinfection and sterilization data is obtained;

setting a usage difference index threshold f ₀₂ When f ₂ ≥f ₀₂ When the method is used, the abnormal disinfection and sterilization data and the corresponding whole flow information are newly recorded and stored; when f ₂ <f ₀₂ Outputting the transport section as a target position;

step S4: based on the target position, carrying out early warning and reminding on the target position under the condition that the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process is the same; and when the target position is different from the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process, newly recording and storing the disinfection and sterilization data of the medical supplies which are analyzed to be abnormal and reusable and the corresponding whole process information.

2. The regional medical disinfection supply-based full-flow information tracing method of claim 1, wherein: in the step S1, whether the flow of the real-time disinfection and sterilization data is abnormal or not is judged and analyzed based on the historical disinfection and sterilization data, and the method comprises the following steps:

Acquiring history sterilization data I which is qualified in first sterilization in history sterilization data, acquiring sterilization modes of the history sterilization data I, distinguishing reusable medical supplies according to different types of sterilization modes, and acquiring a sterilization process set G of the j-th reusable medical supplies in the i-th sterilization mode _ij And disinfection and sterilization process set G _ij Kth node disinfection and sterilization process g of jth reusable medical supplies in the medical devices _jk The node disinfection and sterilization process refers to all steps from the beginning to the end of disinfection corresponding to the ith disinfection and sterilization mode of the reusable medical supplies, and each step corresponds to one node disinfection and sterilization process;

comparing node disinfection and sterilization process similarity of n reusable medical supplies in the ith disinfection and sterilization mode, and calculating similarity proportion s corresponding to the first disinfection and sterilization process set Gi _i ，s _i ＝a _i /A _i N is greater than or equal to j, n represents the type number of the reusable medical supplies;

wherein a is _i Representing a first sterilization process set G _i The similarity of the disinfection and sterilization processes of all nodes of any two reusable medical supplies is greater than or equal to the number of reusable medical supplies corresponding to a similarity threshold value, A _i Representing a first sterilization process set G _i The total number of reusable medical supplies; first disinfection and sterilization process set G _i Representing the corresponding disinfection and sterilization process sets of different reusable medical supplies under the same disinfection and sterilization mode;

when the similarity ratio s _i When the method is=1, outputting the reusable medical supplies corresponding to the ith disinfection and sterilization mode as first medical supplies, and generating a corresponding first disinfection and sterilization flow;

when the similarity ratio s _i When the number of the medical supplies is not equal to 1, outputting a reusable medical supply corresponding to the ith disinfection and sterilization mode as a second medical supply, and generating a corresponding second disinfection and sterilization flow set;

judging the type of the reusable medical supplies corresponding to the real-time acquired disinfection and sterilization data, and outputting real-time disinfection and sterilization data abnormality if the disinfection and sterilization flow in the real-time disinfection and sterilization data is not equal to the first disinfection and sterilization flow when the type of the reusable medical supplies analyzed in real time is the first medical supplies; when the type of the reusable medical supplies analyzed in real time is the second medical supplies, if the disinfection and sterilization process in the real-time disinfection and sterilization data does not belong to the second disinfection and sterilization process set, outputting the real-time disinfection and sterilization data to be abnormal.

3. The regional medical disinfection supply-based full-flow information tracing method of claim 2, wherein: the step S2 includes the steps of:

acquiring whole flow information of reusable medical supplies corresponding to abnormal disinfection and sterilization data, wherein the whole flow information comprises transportation section information, disinfection processing section information and usage section information, the transportation section information refers to time data recorded in the process of conveying qualified reusable medical supplies, and the usage section information refers to all information records generated before conveying the qualified reusable medical supplies to a medical institution and recycling; the disinfection treatment section information is information recorded by the disinfection treatment of the reusable medical supplies after the medical institutions use are recovered;

acquiring a processing batch corresponding to abnormal disinfection and sterilization data in disinfection processing section information as a target batch, and the number m of medical supplies corresponding to the number m of reusable medical supplies when the abnormal disinfection and sterilization data is the same under the target batch ₁ And total number M of reusable medical supplies in a target lot ₁ The method comprises the steps of carrying out a first treatment on the surface of the Calculating an abnormal occurrence ratio h;

wherein m is ₂ Representing the number of reusable medical supplies corresponding to the same abnormal disinfection and sterilization data in the adjacent batches of the target batch, M ₂ Representing the total number of reusable medical supplies corresponding to the abnormal disinfection and sterilization data under the adjacent target batch; alpha ₁ +α ₂ ＝0，α ₁ 、α ₂ Representing the reference coefficients;

presetting an abnormal occurrence ratio threshold h ₀ When h is greater than or equal to h ₀ Outputting abnormal positions of abnormal disinfection and sterilization data as disinfection treatment sections, and transmitting early warning signals to a medical disinfection supply center; when h<h ₀ Continuously analyzing the initial position;

acquiring historical transportation section information and historical usage section information of reusable medical supplies in the historical whole-flow information corresponding to abnormal disinfection and sterilization data, and comparing similarity r of the real-time transportation section information corresponding to the real-time abnormal disinfection and sterilization data and the historical transportation section information ₁ Similarity r between real-time usage section information corresponding to real-time abnormal disinfection and sterilization data and history usage section information ₂ ；

Setting upSimilarity threshold r ₀ When r is present ₁ <r ₀ And r is ₂ <r ₀ Output initial position set D ₁ ，D ₁ = { transport segment, use segment }; when r is present ₁ <r ₀ And r is ₂ ≥r ₀ Output initial position set D ₂ ，D ₂ = { transport segment }; when r is ₂ <r ₀ And r is ₁ ≥r ₀ Output initial position set D ₃ ，D ₃ = { use segment }.

4. The regional-based medical disinfection supply full-flow information tracing method of claim 3, wherein: the category of the transport section comprises the following analysis steps:

Acquiring transport duration t recorded in transport section in the last full-flow information in historical data of the same medical institution _u The transportation time is the time for transportation of the reusable medical supplies recovered from the medical institutions in the way of returning the reusable medical supplies to the supply center for cleaning, and the transportation time t is _u Sequencing from small to large, using the formula:

calculating the basic interval duration t ₀ Wherein v is _c Representing the difference in the length of time of any two shipments c, p represents the total number of transport duration recorded in the transport section, and p is more than or equal to u;

obtaining the minimum value mint of the transportation time length _u The kinds of transportation sections are mint _u +t ₀ As a first kind, at interval t ₀ And (5) sequentially classifying.

5. The regional medical disinfection supply full-flow information tracing system based on the regional medical disinfection supply full-flow information tracing method according to any one of claims 1-4, which is characterized by comprising a historical disinfection and sterilization data acquisition module, a flow abnormality judgment module, an initial position set analysis module, a target position determination module and an early warning transmission module;

the history disinfection and sterilization data acquisition module is used for acquiring history disinfection and sterilization data of reusable medical supplies in a medical disinfection supply process;

The flow anomaly judgment module is used for judging and analyzing whether flow anomalies exist in the real-time disinfection and sterilization data based on the historical disinfection and sterilization data;

the initial position set analysis module is used for acquiring the whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data, and positioning analysis is performed to generate an initial position set of the abnormal disinfection and sterilization data;

the target position determining module is used for determining a target position based on the medical disinfection supply full-flow information corresponding to the position in the set;

the early warning transmission module is used for carrying out early warning and reminding on the target position under the condition that the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process is the same as the information recorded by the target position corresponding to the abnormal disinfection and sterilization data based on the target position; and when the target position is different from the information recorded by the target position corresponding to the abnormal disinfection and sterilization data in the whole medical disinfection and supply process, newly recording and storing the disinfection and sterilization data of the medical supplies which are analyzed to be abnormal and reusable and the corresponding whole process information.

6. The regional based healthcare sterilization supply full-flow information traceability system of claim 5, wherein: the flow anomaly judging module comprises a disinfection and sterilization mode distinguishing unit, a disinfection and sterilization flow extracting unit, a similarity proportion calculating unit and a disinfection and sterilization data judging unit;

The disinfection and sterilization mode distinguishing unit is used for obtaining a disinfection and sterilization mode to distinguish the reusable medical supplies according to different types of disinfection and sterilization modes;

the disinfection and sterilization process extraction unit is used for extracting the node disinfection and sterilization process of the medical supplies which can be reused after being distinguished;

the similarity proportion calculation unit is used for calculating the similarity of the node disinfection and sterilization process;

the disinfection and sterilization data judging unit is used for judging based on the disinfection and sterilization processes output by the numerical values of different similarity proportions and the disinfection and sterilization processes acquired in real time so as to determine whether the disinfection and sterilization data are abnormal or not.

7. The regional based healthcare sterilization supply full-flow information traceability system of claim 6, wherein: the initial position set analysis module comprises a full-flow information acquisition unit, an abnormal occurrence ratio calculation unit, a similarity comparison unit and an initial position set analysis unit;

the whole flow information acquisition unit is used for acquiring whole flow information of the reusable medical supplies corresponding to the abnormal disinfection and sterilization data;

the abnormal occurrence ratio calculating unit is used for calculating an abnormal occurrence ratio based on the number of medical supplies and the total number of the medical supplies which are corresponding to and reusable when the abnormal disinfection and sterilization data are the same in the target batch and the adjacent target batches in the disinfection treatment section, and determining whether the abnormal position is the disinfection treatment section;

The similarity comparison unit is used for respectively comparing the similarity of the transportation section and the using section;

the initial position set analysis unit is used for outputting an initial position based on the result of the similarity comparison unit.

8. The regional based healthcare sterilization supply full-flow information traceability system of claim 7, wherein: the target position determining module comprises a target disinfection and sterilization data extracting unit, a using difference index calculating unit, a transportation section analyzing unit and a target position determining unit;

the target disinfection and sterilization data extraction unit is used for extracting first target disinfection and sterilization data and second target disinfection and sterilization data;

the usage difference index calculation unit is used for calculating a usage difference index corresponding to the first target disinfection and sterilization data and calculating a usage difference index corresponding to the second target disinfection and sterilization data;

the transportation section analysis unit is used for determining that the second target disinfection and sterilization data corresponds to calculation of transportation section types in the use difference index;

the target position determining unit determines a target position based on a result of the usage difference index calculating unit.