CN117079780A - Medical surgical instrument tracking management system based on big data - Google Patents
Medical surgical instrument tracking management system based on big data Download PDFInfo
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Abstract
The invention discloses a medical surgical instrument tracking management system based on big data, and belongs to the technical field of medical instrument management; by digitally processing all medical surgical instruments and implementing data statistics, reliable data support can be provided for the follow-up use tracking management of all medical surgical instruments; by tracking the whole process of the medical surgical instrument being taken away and carrying out data statistics, not only can the conditions of all the nodes of the medical surgical instrument being used be intuitively displayed, but also data support in the aspect of tracking can be provided for the subsequent analysis of the use loss of the medical surgical instrument; the invention is used for solving the technical problems that the whole process of the use of the medical surgical instrument cannot be automatically monitored and counted, the loss state of the use of the medical surgical instrument is automatically evaluated according to the counted data, and the dynamic maintenance of different medical surgical instruments is realized by alarming and prompting, so that the overall effect of the tracking management of the medical surgical instrument is poor.
Description
Technical Field
The invention relates to the technical field of medical instrument management, in particular to a medical surgical instrument tracking management system based on big data.
Background
Medical devices refer to instruments, devices, appliances, in vitro diagnostic reagents and calibrators, materials and other similar or related items that are used directly or indirectly on the human body.
The existing medical surgical instrument tracking management scheme has certain defects when being implemented, most of the existing medical surgical instrument tracking management scheme still stays at the stage of manual recording by manpower, the whole process of the use of the medical surgical instrument cannot be automatically monitored and counted, the loss state of the use of the medical surgical instrument is automatically evaluated and an alarm prompt is given out according to counted data to realize the dynamic maintenance of different medical surgical instruments, and the overall effect of the medical surgical instrument tracking management is poor.
Disclosure of Invention
The invention aims to provide a medical surgical instrument tracking management system based on big data, which is used for solving the technical problems that the whole process of the use of the medical surgical instrument cannot be automatically monitored and counted, the loss state of the use of the medical surgical instrument is automatically evaluated and the dynamic maintenance of different medical surgical instruments is realized according to the counted data, and the integral effect of the medical surgical instrument tracking management is poor in the prior art.
The aim of the invention can be achieved by the following technical scheme:
a medical surgical instrument tracking management system based on big data, comprising:
instrument information monitoring and counting module: performing digital processing and data statistics on all medical surgical instruments stored in the storage cabinet to obtain instrument monitoring data containing instrument codes, instrument weights and reference time points corresponding to all the medical surgical instruments;
instrument usage monitoring statistics module: monitoring and counting the identities, the taking time and the placing time points of the people who use the medical surgical instruments, and judging and analyzing the data to obtain the corresponding use monitoring data of the medical surgical instruments;
instrument use loss tracking module: tracking and analyzing the use loss state of the corresponding medical surgical instrument according to the use monitoring data to obtain use loss analysis data corresponding to the medical surgical instrument; comprising the following steps:
when the use loss state of the medical surgical instrument is tracked and analyzed, traversing the use monitoring data to obtain a corresponding taking time point and a corresponding placing time point of the medical surgical instrument, calculating to obtain a corresponding use duration time, and marking the corresponding use duration time as SS;
and, adding the total number of uses corresponding to the medical surgical instrument together to be marked as SC; extracting the value of the using duration time and the total using times corresponding to the medical surgical instrument, and carrying out simultaneous calculation on the value and the corresponding instrument weight to obtain the using loss coefficient corresponding to the medical surgical instrument;
when the use loss state of the corresponding medical surgical instrument is tracked, analyzed and evaluated according to the use loss coefficient, the use loss coefficient is matched with the corresponding standard use loss range, so that use loss analysis data containing a normal loss instruction, a slight abnormal loss instruction, a moderate abnormal loss instruction or a severe abnormal loss instruction is obtained and uploaded to a cloud platform and a database;
instrument tracking management prompting module: and alarming and prompting the use loss state corresponding to the tracking analysis of the medical surgical instrument according to the use loss analysis data and dynamically maintaining and alarming the use loss state.
Preferably, the step of acquiring instrument monitoring data comprises: when all medical surgical instruments are subjected to digital processing, instrument names corresponding to all medical surgical instruments are sequentially acquired, different instrument weights corresponding to different instrument names are preset, and the acquired instrument names are matched with all instrument names prestored in an instrument database to acquire corresponding instrument weights;
acquiring a starting time point of the first starting operation of the medical surgical instrument, setting the starting time point as a reference time point, extracting the numerical value of the weight of the medical surgical instrument corresponding to the instrument and the numerical value of the reference time point, and arranging and combining according to the extraction sequence to obtain an instrument code;
and instrument codes, instrument weights and reference time points corresponding to all medical surgical instruments form instrument monitoring data and are uploaded to a cloud platform and a database.
Preferably, the acquiring of the usage monitoring data includes:
acquiring corresponding personnel identities when medical personnel perform face recognition through a face recognition module on the storage cabinet, generating a monitoring instruction after the face recognition is passed, performing monitoring statistics on the movement condition of medical surgical instruments in the storage cabinet according to the monitoring instruction, and acquiring instrument names and corresponding taking time points of the corresponding medical surgical instruments when the medical surgical instruments are taken away by the medical personnel;
when the medical staff does not face the storage cabinet, a closing instruction is generated, the opened storage cabinet is controlled to be automatically closed according to the closing instruction, and the corresponding medical surgical instrument is taken away according to the taking time point and then timing is started.
Preferably, when the medical staff performs face recognition through the face recognition module on the storage cabinet and passes through the face recognition module, the corresponding placement time point is obtained when the medical surgical instrument is detected to be placed back on the storage cabinet;
the medical surgical instrument is used, and the use monitoring data is formed by the personnel identity corresponding to the face recognition, the taking time point and the placing time point and uploaded to the cloud platform and the database.
Preferably, the calculation formula using the loss coefficient is:
wherein delta is a consumption coefficient, s1 and s2 are constant coefficients larger than zero, s1 is larger than s2, QQ is an instrument weight corresponding to the medical surgical instrument, SS0 is a standard use duration total time corresponding to the medical surgical instrument, LS is a history use total time corresponding to the medical surgical instrument, WS is an error time in the transfer process of the medical surgical instrument, and SCO is a standard use total time corresponding to the medical surgical instrument.
Preferably, the step of obtaining the error duration includes:
setting a time point when a medical operator delivers the medical surgical instrument to others for the first time as a transfer time point, acquiring corresponding transfer time length according to the transfer time point and a corresponding taking time point of the medical surgical instrument, and marking the transfer time length as ZS; and calculating and acquiring the error duration WS according to the transfer duration by a formula ws=2×zs.
Preferably, when the use loss state of the corresponding medical surgical instrument is subjected to tracking analysis and evaluation according to the use loss coefficient, the use loss coefficient is matched with the corresponding standard use loss range;
if the consumption coefficient is smaller than Y% of the minimum value of the standard consumption range, Y is a real number which is larger than zero and smaller than one hundred, and then a normal consumption instruction is generated;
if the using loss coefficient is not less than Y% of the minimum value of the standard using loss range and is less than the minimum value of the standard using loss range, generating a slight abnormal loss instruction;
if the use loss coefficient is not smaller than the minimum value of the standard use loss range and smaller than the maximum value of the standard use loss range, generating a moderate abnormal loss instruction;
and if the use loss coefficient is not smaller than the maximum value of the standard use loss range, generating a severe abnormal loss instruction.
Preferably, traversing the usage loss analysis data corresponding to the medical surgical instrument, and respectively generating an alarm prompt corresponding to the usage loss of the medical surgical instrument in a normal state, a mild abnormal state, a moderate abnormal state or a severe abnormal state according to a normal loss instruction, a mild abnormal loss instruction, a moderate abnormal loss instruction or a severe abnormal loss instruction acquired by traversing the usage loss analysis data;
and respectively generating a class-loss maintenance scheme, a class-three loss maintenance scheme or a dynamic maintenance prompt for stopping use.
Preferably, the maintenance frequencies corresponding to the one-class loss maintenance scheme, the two-class loss maintenance scheme and the three-class loss maintenance scheme are sequentially increased.
Compared with the prior art, the invention has the beneficial effects that:
the invention can provide reliable data support for the follow-up use tracking management of all medical surgical instruments by carrying out digital processing and data statistics on all the medical surgical instruments, and can effectively improve the integral effect of the digital management of the medical surgical instruments; by tracking the whole process of taking away the medical surgical instrument and carrying out data statistics, not only can the conditions of all nodes of the medical surgical instrument used be intuitively displayed, but also the data support in the aspect of tracking can be provided for the use loss analysis of the subsequent medical surgical instrument, and the overall effect of the medical surgical instrument in the aspect of tracking and monitoring can be effectively improved.
According to the invention, the use loss coefficient is obtained by integrating the data in the use time aspect and the use times aspect when the medical surgical instrument is used, and the use loss state of the corresponding medical surgical instrument is analyzed according to the use loss coefficient, so that the use loss state of the corresponding medical surgical instrument can be intuitively and efficiently obtained, and reliable data support can be provided for the follow-up use dynamic maintenance alarm prompt of the corresponding medical surgical instrument.
According to the invention, the display prompt is carried out on the usage loss state of the corresponding medical surgical instrument tracking analysis according to the usage loss analysis data, and meanwhile, the dynamic alarm prompt can be carried out on the maintenance of the corresponding medical surgical instrument tracking, so that the usage loss state corresponding to the different types of medical surgical instrument tracking can be maintained efficiently and timely.
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The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a medical surgical instrument tracking management system based on big data according to the present invention.
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 invention discloses a medical surgical instrument tracking management system based on big data, which comprises an instrument information monitoring and counting module, an instrument use loss tracking module, an instrument tracking management prompt module, a cloud platform and a database;
instrument information monitoring and counting module: performing digital processing and data statistics on all medical surgical instruments stored in the storage cabinet to obtain instrument monitoring data containing instrument codes, instrument weights and reference time points corresponding to all the medical surgical instruments;
the medical equipment storage cabinet is used for storing medical surgical equipment to be used after disinfection, the front surface of the storage cabinet is provided with a face recognition module for recognizing the face of medical staff accessing the medical surgical equipment to confirm the identity of the medical staff, the face recognition module is of an existing conventional module structure and conventional face recognition technology, and specific face recognition steps are not repeated here;
in addition, the acquiring step of the instrument monitoring data includes:
when all medical surgical instruments are subjected to digital processing, instrument names corresponding to all medical surgical instruments are sequentially acquired, different instrument weights corresponding to different instrument names are preset, and the acquired instrument names are matched with all instrument names prestored in an instrument database to acquire corresponding instrument weights;
it should be explained that the instrument weights are used for digitally representing the medical surgical instruments with different text types, so that reliable data support can be provided for the subsequent differential calculation and analysis of different medical surgical instruments; the specific value of the instrument weight can be set according to the operation experience of medical staff or operation big data;
acquiring a starting time point of the first starting operation of the medical surgical instrument, setting the starting time point as a reference time point, accurately obtaining minutes from the starting time point, extracting the numerical value of the weight of the medical surgical instrument corresponding to the instrument and the numerical value of the reference time point, and arranging and combining according to the extracted sequence to obtain an instrument code;
the instrument code plays a role in marking and identifying the medical surgical instrument, and has uniqueness;
and instrument codes, instrument weights and reference time points corresponding to all medical surgical instruments form instrument monitoring data and are uploaded to a cloud platform and a database.
In the embodiment of the invention, through carrying out digital processing and data statistics on all medical surgical instruments, reliable data support can be provided for the follow-up use tracking management of all medical surgical instruments, and the integral effect of the digital management of the medical surgical instruments can be effectively improved.
Instrument usage monitoring statistics module: monitoring and counting the identities, the taking time and the placing time points of the people who use the medical surgical instruments, and judging and analyzing the data to obtain the corresponding use monitoring data of the medical surgical instruments; the identification mark can be an electronic tag;
wherein the acquiring step of the usage monitoring data includes:
the medical staff obtains corresponding personnel identity when carrying out face recognition through a face recognition module on the storage cabinet, the face recognition can compare the obtained face image with a medical operation face image database, a monitoring instruction is generated after the face recognition is passed, the movement condition of the medical operation instrument in the storage cabinet is monitored and counted according to the monitoring instruction, and the instrument name and the corresponding taking time point of the corresponding medical operation instrument are obtained when the medical operation instrument is taken by the medical staff; taking away the time point to be accurate to the minute; the monitoring of the medical surgical instrument taken by the medical staff can be performed through a plurality of monitoring sensors arranged in the storage cabinet, and the monitoring sensors can be gravity sensors;
when the medical staff does not face the storage cabinet, a closing instruction is generated, the opened storage cabinet is controlled to be automatically closed according to the closing instruction, and the corresponding medical surgical instrument is taken away according to the taking-away time point and then timing is started;
when medical staff performs face recognition through a face recognition module on the storage cabinet and passes through the face recognition module, acquiring a corresponding placement time point when detecting that the medical surgical instrument is put back on the storage cabinet;
the medical surgical instrument is used, and the use monitoring data is formed by the personnel identity corresponding to the face recognition, the taking time point and the placing time point and uploaded to the cloud platform and the database.
In the embodiment of the invention, through tracking and data statistics of the whole process of taking away the medical surgical instrument, each node condition of the medical surgical instrument used can be intuitively displayed, data support in tracking can be provided for the use loss analysis of the subsequent medical surgical instrument, and the overall effect of the medical surgical instrument in tracking and monitoring can be effectively improved.
Instrument use loss tracking module: tracking and analyzing the use loss state of the corresponding medical surgical instrument according to the use monitoring data to obtain use loss analysis data corresponding to the medical surgical instrument; comprising the following steps:
when the use loss state of the medical surgical instrument is tracked and analyzed, traversing the use monitoring data to obtain a corresponding taking time point and a corresponding placing time point of the medical surgical instrument, calculating to obtain a corresponding use duration time, and marking the corresponding use duration time as SS; the unit of duration of use is minutes;
and, adding the total number of uses corresponding to the medical surgical instrument together to be marked as SC; extracting the value of the using duration time and the total using times corresponding to the medical surgical instrument, and carrying out simultaneous calculation on the value and the corresponding instrument weight to obtain the using loss coefficient corresponding to the medical surgical instrument; the calculation formula using the loss coefficient is:
wherein delta is a consumption coefficient, s1 and s2 are constant coefficients larger than zero, s1 is larger than s2, s1 can be a value of 2.314, s2 can be a value of 1.072, QQ is an instrument weight corresponding to the medical surgical instrument, SS0 is a standard use duration corresponding to the medical surgical instrument, LS is a historical use duration corresponding to the medical surgical instrument, WS is an error duration in the transferring process of the medical surgical instrument, and SCO is a standard use total number corresponding to the medical surgical instrument;
the standard use duration total time length, the historical use total time length and the error time length corresponding to the medical surgical instrument are all in minutes, and the standard use duration total time length and the corresponding standard use total times corresponding to the medical surgical instrument can be acquired based on the maintenance big data of the medical surgical instrument;
in addition, the step of obtaining the error duration includes:
setting a time point when a medical operator delivers the medical surgical instrument to others for the first time as a transfer time point, enabling the transfer time point to be accurate to be minute, acquiring corresponding transfer time length according to the transfer time point and a corresponding taking time point of the medical surgical instrument, and marking the transfer time length as ZS; calculating and obtaining an error time length WS according to a transfer time length through a formula WS=2×ZS;
the action of the medical staff delivering the medical surgical instrument to other people for the first time can be obtained by identifying and judging the video image obtained by monitoring through monitoring equipment in an operating room, wherein the identification of the delivery of the action in the video image is an existing conventional identification scheme, and specific steps are not repeated here;
in addition, the special condition that the medical surgical instrument is taken by mistake and put back is not used for calculating and analyzing the consumption coefficient in subsequent use;
in the embodiment of the invention, the use loss coefficient is a numerical value used for integrally evaluating the use loss state of the medical surgical instrument by integrating the use time and the use times of the medical surgical instrument; the error duration plays a role in reducing errors generated in the moving and transferring process of the medical surgical instrument during calculation, and can effectively improve the accuracy of calculation and analysis of the consumption coefficient;
when the use loss state of the corresponding medical surgical instrument is tracked, analyzed and evaluated according to the use loss coefficient, the use loss coefficient is matched with the corresponding standard use loss range; the standard usage loss range may be obtained based on maintenance big data of the corresponding medical surgical instrument;
if the use loss coefficient is smaller than Y% of the minimum value of the standard use loss range, Y is a real number which is larger than zero and smaller than one hundred, judging that the use loss of the corresponding medical surgical instrument is in a normal state and generating a normal loss instruction;
if the use loss coefficient is not less than Y% of the minimum value of the standard use loss range and is less than the minimum value of the standard use loss range, judging that the use loss of the corresponding medical surgical instrument is in a slight abnormal state and generating a slight abnormal loss instruction;
if the use loss coefficient is not smaller than the minimum value of the standard use loss range and smaller than the maximum value of the standard use loss range, judging that the use loss of the corresponding medical surgical instrument is in a moderate abnormal state and generating a moderate abnormal loss instruction;
if the use loss coefficient is not smaller than the maximum value of the standard use loss range, judging that the use loss of the corresponding medical surgical instrument is in a severe abnormal state and generating a severe abnormal loss instruction;
normal loss instructions, mild abnormal loss instructions, moderate abnormal loss instructions or severe abnormal loss instructions form consumption analysis data and are uploaded to a cloud platform and a database;
according to the embodiment of the invention, the use loss coefficient is obtained by integrating the data in terms of the use time and the use times of the medical surgical instrument, and the use loss state of the corresponding medical surgical instrument is analyzed according to the use loss coefficient, so that the use loss state of the corresponding medical surgical instrument can be intuitively and efficiently obtained, and reliable data support can be provided for the follow-up use dynamic maintenance alarm prompt of the corresponding medical surgical instrument.
Instrument tracking management prompting module: alarming and prompting the use loss state of the corresponding medical surgical instrument tracking analysis according to the use loss analysis data and dynamically maintaining and alarming the use loss state; comprising the following steps:
traversing the usage loss analysis data corresponding to the medical surgical instrument, and respectively generating alarm prompts corresponding to the usage loss of the medical surgical instrument in a normal state, a mild abnormal state, a moderate abnormal state or a severe abnormal state according to the normal loss instruction, the mild abnormal loss instruction, the moderate abnormal loss instruction or the severe abnormal loss instruction obtained by traversing the usage loss analysis data;
generating a class-loss maintenance scheme, a class-three loss maintenance scheme or a dynamic maintenance prompt for stopping use respectively;
the maintenance frequencies corresponding to the first-class loss maintenance scheme, the second-class loss maintenance scheme and the third-class loss maintenance scheme are sequentially increased; the specific value of the maintenance frequency can be obtained according to the existing maintenance frequency corresponding to the medical surgical instrument.
In the embodiment of the invention, the display prompt is carried out on the usage loss state of the corresponding medical surgical instrument tracking analysis according to the usage loss analysis data, and meanwhile, the dynamic alarm prompt can be carried out on the maintenance of the corresponding medical surgical instrument tracking, so that the corresponding usage loss state of the different types of medical surgical instrument tracking can be maintained efficiently and timely;
in addition, the formulas related in the above are all formulas with dimensions removed and numerical values calculated, and are a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and the proportionality coefficient in the formulas and each preset threshold value in the analysis process are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data; the size of the scaling factor is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the scaling factor depends on the number of sample data and the corresponding processing coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (9)
1. A medical surgical instrument tracking management system based on big data, comprising:
instrument information monitoring and counting module: performing digital processing and data statistics on all medical surgical instruments stored in the storage cabinet to obtain instrument monitoring data containing instrument codes, instrument weights and reference time points corresponding to all the medical surgical instruments;
instrument usage monitoring statistics module: monitoring and counting the identities, the taking time and the placing time points of the people who use the medical surgical instruments, and judging and analyzing the data to obtain the corresponding use monitoring data of the medical surgical instruments;
instrument use loss tracking module: tracking and analyzing the use loss state of the corresponding medical surgical instrument according to the use monitoring data to obtain use loss analysis data corresponding to the medical surgical instrument; comprising the following steps:
when the use loss state of the medical surgical instrument is tracked and analyzed, traversing the use monitoring data to obtain a corresponding taking time point and a corresponding placing time point of the medical surgical instrument, calculating to obtain a corresponding use duration time, and marking the corresponding use duration time as SS;
and, adding the total number of uses corresponding to the medical surgical instrument together to be marked as SC; extracting the value of the using duration time and the total using times corresponding to the medical surgical instrument, and carrying out simultaneous calculation on the value and the corresponding instrument weight to obtain the using loss coefficient corresponding to the medical surgical instrument;
when the use loss state of the corresponding medical surgical instrument is tracked, analyzed and evaluated according to the use loss coefficient, the use loss coefficient is matched with the corresponding standard use loss range, so that use loss analysis data containing a normal loss instruction, a slight abnormal loss instruction, a moderate abnormal loss instruction or a severe abnormal loss instruction is obtained and uploaded to a cloud platform and a database;
instrument tracking management prompting module: and alarming and prompting the use loss state corresponding to the tracking analysis of the medical surgical instrument according to the use loss analysis data and dynamically maintaining and alarming the use loss state.
2. The medical surgical instrument tracking management system based on big data according to claim 1, wherein the instrument monitoring data acquiring step includes: when all medical surgical instruments are subjected to digital processing, instrument names corresponding to all medical surgical instruments are sequentially acquired, different instrument weights corresponding to different instrument names are preset, and the acquired instrument names are matched with all instrument names prestored in an instrument database to acquire corresponding instrument weights;
acquiring a starting time point of the first starting operation of the medical surgical instrument, setting the starting time point as a reference time point, extracting the numerical value of the weight of the medical surgical instrument corresponding to the instrument and the numerical value of the reference time point, and arranging and combining according to the extraction sequence to obtain an instrument code;
and instrument codes, instrument weights and reference time points corresponding to all medical surgical instruments form instrument monitoring data and are uploaded to a cloud platform and a database.
3. The medical surgical instrument tracking management system based on big data according to claim 2, wherein the acquisition step of the usage monitoring data includes:
acquiring corresponding personnel identities when medical personnel perform face recognition through a face recognition module on the storage cabinet, generating a monitoring instruction after the face recognition is passed, performing monitoring statistics on the movement condition of medical surgical instruments in the storage cabinet according to the monitoring instruction, and acquiring instrument names and corresponding taking time points of the corresponding medical surgical instruments when the medical surgical instruments are taken away by the medical personnel;
when the medical staff does not face the storage cabinet, a closing instruction is generated, the opened storage cabinet is controlled to be automatically closed according to the closing instruction, and the corresponding medical surgical instrument is taken away according to the taking time point and then timing is started.
4. A medical surgical instrument tracking management system based on big data according to claim 3, wherein when the medical personnel performs face recognition through the face recognition module on the storage cabinet and passes through the face recognition module, the corresponding placement time point is obtained when the medical surgical instrument is detected to be placed back on the storage cabinet;
the medical surgical instrument is used, and the use monitoring data is formed by the personnel identity corresponding to the face recognition, the taking time point and the placing time point and uploaded to the cloud platform and the database.
5. The medical surgical instrument tracking management system based on big data according to claim 1, wherein the calculation formula using the loss coefficient is:
wherein delta is a consumption coefficient, s1 and s2 are constant coefficients larger than zero, s1 is larger than s2, QQ is an instrument weight corresponding to the medical surgical instrument, SS0 is a standard use duration total time corresponding to the medical surgical instrument, LS is a history use total time corresponding to the medical surgical instrument, WS is an error time in the transfer process of the medical surgical instrument, and SCO is a standard use total time corresponding to the medical surgical instrument.
6. The medical surgical instrument tracking management system based on big data according to claim 5, wherein the step of obtaining the error duration includes:
setting a time point when a medical operator delivers the medical surgical instrument to others for the first time as a transfer time point, acquiring corresponding transfer time length according to the transfer time point and a corresponding taking time point of the medical surgical instrument, and marking the transfer time length as ZS; and calculating and acquiring the error duration WS according to the transfer duration by a formula ws=2×zs.
7. The medical surgical instrument tracking management system based on big data according to claim 1, wherein when the use loss state of the corresponding medical surgical instrument is subjected to tracking analysis and evaluation according to the use loss coefficient, the use loss coefficient is matched with the corresponding standard use loss range;
if the consumption coefficient is smaller than Y% of the minimum value of the standard consumption range, Y is a real number which is larger than zero and smaller than one hundred, and then a normal consumption instruction is generated; if the using loss coefficient is not less than Y% of the minimum value of the standard using loss range and is less than the minimum value of the standard using loss range, generating a slight abnormal loss instruction; if the use loss coefficient is not smaller than the minimum value of the standard use loss range and smaller than the maximum value of the standard use loss range, generating a moderate abnormal loss instruction; and if the use loss coefficient is not smaller than the maximum value of the standard use loss range, generating a severe abnormal loss instruction.
8. The medical surgical instrument tracking management system based on big data according to claim 1, wherein usage analysis data corresponding to the medical surgical instrument is traversed, and an alarm prompt corresponding to the usage of the medical surgical instrument in a normal state, a mild abnormal state, a moderate abnormal state or a severe abnormal state is generated according to a normal loss instruction, a mild abnormal loss instruction, a moderate abnormal loss instruction or a severe abnormal loss instruction obtained by traversing the usage analysis data;
and respectively generating a class-loss maintenance scheme, a class-three loss maintenance scheme or a dynamic maintenance prompt for stopping use.
9. The medical surgical instrument tracking management system based on big data according to claim 8, wherein the maintenance frequencies corresponding to the one-class wear maintenance scheme, the two-class wear maintenance scheme and the three-class wear maintenance scheme are sequentially increased.
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