CN117524444B - Anesthetic agent storage environment monitoring management system based on data analysis - Google Patents
Anesthetic agent storage environment monitoring management system based on data analysis Download PDFInfo
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- 239000003193 general anesthetic agent Substances 0.000 title claims abstract description 105
- 238000012544 monitoring process Methods 0.000 title claims abstract description 100
- 238000007405 data analysis Methods 0.000 title claims abstract description 8
- 238000011156 evaluation Methods 0.000 claims abstract description 133
- 238000004458 analytical method Methods 0.000 claims abstract description 34
- 230000002265 prevention Effects 0.000 claims abstract description 19
- 230000010354 integration Effects 0.000 claims abstract description 11
- 230000004927 fusion Effects 0.000 claims description 40
- 230000003444 anaesthetic effect Effects 0.000 claims description 34
- 239000003814 drug Substances 0.000 claims description 30
- 238000000034 method Methods 0.000 claims description 20
- 230000000750 progressive effect Effects 0.000 claims description 7
- 238000010606 normalization Methods 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 238000009472 formulation Methods 0.000 claims description 4
- 239000000203 mixture Substances 0.000 claims description 4
- 239000013256 coordination polymer Substances 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 239000003795 chemical substances by application Substances 0.000 abstract description 6
- 230000000694 effects Effects 0.000 abstract description 6
- 230000001105 regulatory effect Effects 0.000 abstract description 2
- 238000004891 communication Methods 0.000 description 4
- 230000002349 favourable effect Effects 0.000 description 3
- 230000035772 mutation Effects 0.000 description 3
- 229940035674 anesthetics Drugs 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 206010002091 Anaesthesia Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000037005 anaesthesia Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003983 inhalation anesthetic agent Substances 0.000 description 1
- 239000002869 intravenous anesthetic agent Substances 0.000 description 1
- 230000036407 pain Effects 0.000 description 1
- 238000001356 surgical procedure Methods 0.000 description 1
- 230000001988 toxicity Effects 0.000 description 1
- 231100000419 toxicity Toxicity 0.000 description 1
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention relates to the technical field of medical storage monitoring, in particular to an anesthetic agent storage environment monitoring management system based on data analysis, which comprises a management and control platform, a data acquisition unit, an environment supervision unit, a safety precaution unit, a storage evaluation unit, an integration evaluation unit and a feedback management unit; according to the invention, the quality of the anesthetic agent stored is interfered with the environment and the agent prevention environment to ensure the quality and the safety of the anesthetic agent stored, so that management staff can reasonably and pertinently store and manage the anesthetic agent in time, and on the premise of safety of storing the anesthetic agent, the overall safety storage supervision, evaluation and analysis are performed on the anesthetic agent so as to improve the overall storage safety of the anesthetic agent, and meanwhile, the storage stability trend of the anesthetic agent storage point is analyzed, so that the anesthetic agent storage point can be reasonably regulated and controlled in time, and the storage stability and the storage environment management effect of the anesthetic agent storage point can be improved.
Description
Technical Field
The invention relates to the technical field of medical storage monitoring, in particular to an anesthetic agent storage environment monitoring management system based on data analysis.
Background
The anesthetic is a medicament for temporarily and reversibly losing consciousness and pain of a body or a local part of the body by using a medicament or a non-medicament method, is mostly used for surgery or treatment of certain diseases, and is rarely used by people in order to reduce toxicity and side effects of the anesthetic to the greatest extent and expand the safety and application range of the anesthetic, and is generally used by combining animal compound anesthetics or inhalation anesthetics, intravenous anesthetics, physical anesthetics and the like.
However, in the prior art, when the anesthetic agent is stored, single-dimensional data monitoring and analysis are performed on the anesthetic agent storage points, data among different dimensions are not combined, so that safety of storing the anesthetic agent is reduced, meanwhile, the storage anti-theft effect of the anesthetic agent is reduced, and further, the anesthetic agent cannot be timely and reasonably stored and managed, so that the rationality of storing and managing the anesthetic agent is reduced.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an anesthetic agent storage environment monitoring management system based on data analysis, which solves the technical defects, analyzes the agent quality interference environment and the agent prevention environment of anesthetic agent storage to ensure the anesthetic agent storage quality and safety, is favorable for management personnel to reasonably and pertinently store and manage the anesthetic agent in time, and carries out agent use safety supervision evaluation analysis on prevention data to reduce the risk of stealing the anesthetic agent, and carries out overall safety storage supervision evaluation analysis on the anesthetic agent to improve the overall storage safety of the anesthetic agent on the premise of safety of storing the anesthetic agent, and simultaneously analyzes the storage stability trend of the anesthetic agent storage point to reasonably regulate the anesthetic agent storage point in time so as to reduce the safety storage fluctuation range of the anesthetic agent storage point and help to improve the storage stability and the storage environment management effect of the anesthetic agent storage point.
The aim of the invention can be achieved by the following technical scheme: the anesthetic agent storage environment monitoring management system based on data analysis comprises a management and control platform, a data acquisition unit, an environment supervision unit, a safety precaution unit, a storage evaluation unit, an integration evaluation unit and a feedback management unit;
when the management and control platform generates a management and control instruction, the management and control instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires storage data and prevention data of the anesthetic agent after receiving the management and control instruction, the storage data comprises a facility safety value and an environment constraint value, the prevention data comprises a risk tracing value and a monitoring management value, the storage data and the prevention data are respectively sent to the environment monitoring unit and the safety prevention unit, the environment monitoring unit immediately performs information feedback early warning operation and formulation comparison feedback analysis on the storage data after receiving the storage data, and the obtained safety signal and risk signal are sent to the feedback management unit and the storage evaluation unit;
the storage evaluation unit immediately performs progressive safety evaluation analysis on the target equipment after receiving the alarm signal safety signal and the risk signal, sends the obtained feedback management signal and the obtained optimized signal to the feedback management unit through the environment supervision unit, and sends the obtained decision evaluation signal to the integration evaluation unit through the environment supervision unit;
the safety precaution unit immediately carries out medicament use safety supervision and evaluation analysis on the precaution data after receiving the precaution data, sends the obtained safety signal to the integration evaluation unit, and sends the obtained alarm signal to the feedback management unit;
and after receiving the decision evaluation signal and the safety signal, the integrated evaluation unit immediately performs overall safety storage, supervision and evaluation analysis on the anesthetic agent, and sends the obtained control signal and fluctuation signal to the feedback management unit.
Preferably, the information feedback early warning operation process of the environment supervision unit is as follows:
acquiring the duration of a period of time after the anesthetic agent starts to be stored, marking the duration as a time threshold, acquiring storage equipment in an anesthetic agent storage point in the time threshold, marking the storage equipment as target equipment, acquiring a facility safety value of the target equipment in the time threshold, wherein the facility safety value represents the ratio of the number of times of anesthetic agent storage abnormality caused by the target equipment to the total number of times of storage, comparing the facility safety value with a stored preset facility safety value threshold for analysis, and if the facility safety value is larger than the preset facility safety value threshold, marking part of facility risk values with the facility safety value larger than the preset facility safety value threshold;
the method comprises the steps that an environment constraint value of target equipment in a time threshold is obtained, the environment constraint value represents the number that a numerical value corresponding to an internal environment parameter exceeds a preset threshold, the internal environment parameter comprises an environment humidity abrupt change value and an environment temperature average value, the environment humidity abrupt change value represents the part that the maximum fluctuation value in a humidity change curve exceeds the preset environment humidity abrupt change value threshold, the target equipment is marked as i, i is a natural number larger than zero, and meanwhile, facility risk values and environment constraint values are respectively marked as SFi and HYi.
Preferably, the formulation comparison feedback analysis process of the environmental supervision unit is as follows:
according to the formulaObtaining a facility storage evaluation coefficient of each target device, wherein a1 and a2 are preset scale factor coefficients of a facility risk value and an environment constraint value respectively, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.221, si is a facility storage evaluation coefficient of each target device, and the facility storage evaluation coefficient Si is compared with a preset facility storage evaluation coefficient threshold value recorded and stored in the facility storage evaluation coefficient:
if the ratio between the facility storage evaluation coefficient Si and the preset facility storage evaluation coefficient threshold is smaller than 1, generating a safety signal;
and if the ratio between the facility storage evaluation coefficient Si and the preset facility storage evaluation coefficient threshold value is more than or equal to 1, generating a risk signal.
Preferably, the progressive security assessment analysis process of the storage assessment unit is as follows:
the method comprises the steps of obtaining the total number of target devices corresponding to risk signals and the total number of target devices corresponding to safety signals, marking the ratio of the total number of target devices corresponding to the risk signals to the total number of target devices corresponding to the safety signals as a storage deviation value, and comparing the storage deviation value with a preset storage deviation value threshold value recorded and stored in the storage deviation value:
if the ratio between the stored deviation value and the preset stored deviation value threshold is greater than or equal to 1, generating a feedback management signal;
if the ratio between the stored deviation value and the preset stored deviation value threshold is smaller than 1, generating a decision evaluation signal, when the decision evaluation signal is generated, acquiring the stored deviation value of the normal storage of the historical k times of anesthetic agents, wherein k is a natural number larger than zero, constructing a set A of stored deviation values, establishing a rectangular coordinate system by taking a subset in the set A as an X axis and the stored deviation value as a Y axis, drawing a stored deviation value curve in a dot drawing mode, further acquiring a change trend value of the stored deviation value curve, marking the change trend value as a stored trend risk value, and comparing the stored trend risk value with the preset stored trend risk value threshold recorded in the stored trend risk value:
if the stored trend risk value is smaller than a preset stored trend risk value threshold, no signal is generated;
and if the storage trend risk value is greater than or equal to a preset storage trend risk value threshold, generating an optimization signal.
Preferably, the medicament use safety supervision and evaluation analysis process of the safety precaution unit is as follows:
s1: acquiring a risk tracing value of the anesthetic in the time threshold, wherein the risk tracing value represents a product value obtained by carrying out data normalization processing on the part of the number of the use permission persons exceeding the preset use permission persons and the part of the number of the application using steps exceeding the preset application using steps;
s2: drawing a circle by taking an anesthetic agent storage point as a circle center and R1 as a radius, marking a circular area surrounding the anesthetic agent storage point as a monitoring area, acquiring a monitoring management value of the monitoring area where the anesthetic agent storage point is positioned in a time threshold, wherein the monitoring management value represents a product value obtained by carrying out data normalization processing on the maximum monitoring angle of monitoring equipment and the ratio of the monitored area of the anesthetic agent storage point to the area of the anesthetic agent storage point, comparing the monitoring management value with a stored preset monitoring management value threshold, and marking a part of the monitoring management value which is larger than the preset monitoring management value threshold as a safety monitoring value if the monitoring management value is larger than the preset monitoring management value threshold;
s3: comparing the risk traceability value and the safety monitoring value with a preset risk traceability value threshold value and a preset safety monitoring value threshold value which are recorded and stored in the risk traceability value and the safety monitoring value, and analyzing the risk traceability value and the safety monitoring value:
if the risk tracing value is smaller than the preset risk tracing value threshold value and the safety monitoring value is larger than the preset safety monitoring value threshold value, generating a safety signal;
and if the risk tracing value is greater than or equal to a preset risk tracing value threshold value or the safety monitoring value is less than or equal to a preset safety monitoring value threshold value, generating an alarm signal.
Preferably, the overall safety storage supervision, assessment and analysis process of the integrated assessment unit is as follows:
acquiring a stored deviation value corresponding to the decision evaluation signal, acquiring a risk tracing value and a safety monitoring value corresponding to the safety signal, and respectively marking the stored deviation value, the risk tracing value and the safety monitoring value as CP, FZ and AJ;
according to the formulaObtaining a safe fusion storage evaluation coefficient, wherein f1, f2 and f3 are preset weight factor coefficients of a storage deviation value, a risk tracing value and a safety monitoring value respectively, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset fault-tolerant factor coefficient, the value is 1.228, Z is the safe fusion storage evaluation coefficient, and the safe fusion storage evaluation coefficient Z is compared with a preset safe fusion storage evaluation coefficient threshold value recorded and stored in the safe fusion storage evaluation coefficient Z:
if the safety fusion storage evaluation coefficient Z is smaller than or equal to a preset safety fusion storage evaluation coefficient threshold value, generating a control signal;
if the safety fusion storage evaluation coefficient Z is larger than a preset safety fusion storage evaluation coefficient threshold value, a signal to be managed is generated, when the signal to be managed is generated, the safety fusion storage evaluation coefficient Z corresponding to the signal to be managed is obtained, meanwhile, the safety fusion storage evaluation coefficient of normal storage of the history n times of anesthetic is obtained, n is a natural number larger than zero, the difference value between two connected safety fusion storage evaluation coefficients is obtained, the safety floating value is marked by the difference value between the two connected safety fusion storage evaluation coefficients, the average value of the safety floating value is obtained, the average value of the safety floating value is marked as a stable storage risk value, and the stable storage risk value is compared with the preset stable storage risk value threshold value recorded and stored in the stable storage risk value:
if the stable storage risk value is smaller than a preset stable storage risk value threshold, no signal is generated;
and if the stable storage risk value is greater than or equal to a preset stable storage risk value threshold, generating a fluctuation signal.
The beneficial effects of the invention are as follows:
(1) According to the invention, the quality of the anesthetic agent stored is interfered with the environment and the agent prevention environment to ensure the quality and the safety of the anesthetic agent stored, so that a manager can reasonably and pertinently store and manage the anesthetic agent in time, and meanwhile, the storage safety of the anesthetic agent is improved;
(2) According to the invention, the safety supervision evaluation analysis is carried out on the prevention data to judge whether the storage of the anesthetic agent is safe or not so as to reduce the risk of theft of the anesthetic agent, and the overall safety supervision evaluation analysis is carried out on the anesthetic agent under the premise of the safety of the storage of the anesthetic agent so as to judge whether the overall storage safety of the anesthetic agent storage point is reasonable or not, so that the anesthetic agent storage point is reasonably managed in time so as to improve the overall storage safety of the anesthetic agent, and meanwhile, the storage stability trend of the anesthetic agent storage point is analyzed so as to reasonably regulate the anesthetic agent storage point in time so as to reduce the fluctuation range of the safety storage of the anesthetic agent storage point, thereby being beneficial to improving the storage stability and the storage environment management effect of the anesthetic agent storage point.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
FIG. 2 is a partial analysis of 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.
Embodiment one: referring to fig. 1 to 2, the invention discloses an anesthetic agent storage environment monitoring and managing system based on data analysis, which comprises a management and control platform, a data acquisition unit, an environment monitoring unit, a safety precaution unit, a storage evaluation unit, an integration evaluation unit and a feedback management unit, wherein the management and control platform is in unidirectional communication connection with the data acquisition unit, the data acquisition unit is in unidirectional communication connection with the environment monitoring unit and the safety precaution unit, the environment monitoring unit and the safety precaution unit are in unidirectional communication connection with the integration evaluation unit and the feedback management unit, and the environment monitoring unit is in unidirectional communication connection with the storage evaluation unit;
when the management and control platform generates a management and control instruction, the management and control instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires storage data and prevention data of the anesthetic agent after receiving the management and control instruction, the storage data comprises a facility safety value and an environment constraint value, the prevention data comprises a risk tracing value and a monitoring management value, the storage data and the prevention data are respectively sent to the environment monitoring unit and the safety prevention unit, the environment monitoring unit immediately performs information feedback early warning operation on the storage data after receiving the storage data so as to judge whether the storage environment of the anesthetic agent is normal or not, so that the storage environment of the anesthetic agent is managed timely to improve the safety of the storage of the anesthetic agent, and the specific information feedback early warning operation process is as follows:
acquiring the duration of a period of time after the anesthetic agent starts to be stored, marking the duration as a time threshold, acquiring storage equipment in an anesthetic agent storage point in the time threshold, marking the storage equipment as target equipment, acquiring facility safety values of the target equipment in the time threshold, wherein the facility safety values represent the ratio of the number of times of anesthetic agent storage abnormality caused by the target equipment to the total number of times of storage, comparing the facility safety values with a stored preset facility safety value threshold, and analyzing the fact that if the facility safety values are larger than the preset facility safety value threshold, part of the facility safety values larger than the preset facility safety value threshold are marked with facility risk values, and the fact that if the numerical value of the facility risk values is larger, the risk of anesthetic agent damage abnormality is higher;
acquiring an environment constraint value of target equipment in a time threshold, wherein the environment constraint value represents the number of the corresponding numerical value of an internal environment parameter exceeding a preset threshold, the internal environment parameter comprises an environment humidity mutation value, an environment temperature average value and the like, the environment humidity mutation value represents the part of a humidity change curve, the maximum fluctuation value of which exceeds the preset environment humidity mutation value threshold, the larger the numerical value of the environment constraint value is, the higher the risk of anesthetic damage abnormality is, the target equipment is marked as i, i is a natural number larger than zero, and meanwhile, facility risk values and environment constraint values are respectively marked as SFi and HYi;
according to the formulaObtaining facility storage evaluation coefficients of each target device, wherein a1 and a2 are facility risk values and loops respectivelyThe preset scale factor coefficient of the environment constraint value is used for correcting deviation of each parameter in the formula calculation process, so that the calculation result is more accurate, a1 and a2 are positive numbers larger than zero, a3 is the preset correction factor coefficient, the value is 1.221, si is the facility storage evaluation coefficient of each target device, and the facility storage evaluation coefficient Si is compared with a preset facility storage evaluation coefficient threshold value recorded and stored in the facility storage evaluation coefficient Si:
if the ratio between the facility storage evaluation coefficient Si and the preset facility storage evaluation coefficient threshold is smaller than 1, generating a safety signal;
if the ratio between the facility storage evaluation coefficient Si and the preset facility storage evaluation coefficient threshold is greater than or equal to 1, generating a risk signal, and sending the safety signal and the risk signal to a feedback management unit and a storage evaluation unit, wherein the feedback management unit immediately and respectively makes preset early warning operations corresponding to the safety signal and the risk signal after receiving the alarm signal safety signal and the risk signal, and the preset early warning operations corresponding to the safety signal are as follows: marking target equipment corresponding to the safety signal as green, and performing preset early warning operation corresponding to the risk signal as follows: the target equipment corresponding to the risk signal is marked as red, so that management staff can be helped to timely store and manage the anesthetic agent reasonably and pertinently, and meanwhile, the anesthetic agent storage equipment can be helped to be supervised and early warned, so that the storage safety of the anesthetic agent is provided;
the storage evaluation unit immediately carries out progressive safety evaluation analysis on the target equipment after receiving the alarm signal safety signal and the risk signal so as to judge whether the overall safety of the anesthetic agent storage environment is qualified or not, so that the anesthetic agent storage decision is optimized in time so as to ensure the anesthetic agent storage quality and safety, and the specific progressive safety evaluation analysis process is as follows:
the method comprises the steps of obtaining the total number of target devices corresponding to risk signals and the total number of target devices corresponding to safety signals, marking the ratio of the total number of target devices corresponding to the risk signals to the total number of target devices corresponding to the safety signals as a storage deviation value, and comparing the storage deviation value with a preset storage deviation value threshold value recorded and stored in the storage deviation value to analyze the greater the value of the storage deviation value is, the higher the anesthesia agent storage management requirement degree is:
if the ratio between the stored deviation value and the preset stored deviation value threshold is greater than or equal to 1, generating a feedback management signal, sending the feedback management signal to the feedback management unit through the environment monitoring unit, and immediately making a preset early warning operation corresponding to the feedback management signal after the feedback management unit receives the feedback management signal so as to manage and control equipment in an anesthetic agent storage point, thereby improving the overall storage safety of the anesthetic agent;
if the ratio between the stored deviation value and the preset stored deviation value threshold is smaller than 1, generating a decision evaluation signal, sending the decision evaluation signal to an integration evaluation unit through an environment monitoring unit, acquiring the stored deviation value normally stored by the historical k times of anesthetic agents when the decision evaluation signal is generated, constructing a set A of the stored deviation values, establishing a rectangular coordinate system by taking a subset in the set A as an X axis and the stored deviation value as a Y axis, drawing a stored deviation value curve in a dot drawing mode, further acquiring a change trend value of the stored deviation value curve, marking the change trend value as a stored trend risk value, and comparing the stored trend risk value with the preset stored trend risk value threshold recorded in the stored trend risk value:
if the stored trend risk value is smaller than a preset stored trend risk value threshold, no signal is generated;
if the storage trend risk value is greater than or equal to the preset storage trend risk value threshold, generating an optimization signal, sending the optimization signal to a feedback management unit through an environment monitoring unit, and immediately making a preset early warning operation corresponding to the optimization signal after the feedback management unit receives the optimization signal, so that an anesthetic agent storage decision is optimized in time, and the storage quality and safety of the anesthetic agent are guaranteed.
Embodiment two: after receiving the guard data, the safety guard unit immediately carries out medicament use safety supervision and evaluation analysis on the guard data so as to judge whether the storage of the anesthetic medicament is safe or not, so as to reduce the risk of the anesthetic medicament being stolen, and the specific medicament use safety supervision and evaluation analysis process is as follows:
acquiring a risk tracing value of the anesthetic in the time threshold, wherein the risk tracing value represents a product value obtained by carrying out data normalization processing on a part of the number of the using rights exceeding the preset using rights and a part of the number of the application using steps exceeding the preset application using steps, and the larger the value of the risk tracing value is, the higher the theft risk of the anesthetic is;
drawing a circle by taking an anesthetic agent storage point as a circle center and R1 as a radius, marking a circular area surrounding the anesthetic agent storage point as a monitoring area, acquiring a monitoring management value of the monitoring area where the anesthetic agent storage point is located in a time threshold, wherein the monitoring management value represents a product value obtained by carrying out data normalization on the maximum monitoring angle of monitoring equipment and the ratio of the monitored area of the anesthetic agent storage point to the area of the anesthetic agent storage point, comparing the monitoring management value with a stored preset monitoring management value threshold, and if the monitoring management value is larger than the preset monitoring management value threshold, marking the part of the monitoring management value larger than the preset monitoring management value threshold as a safety monitoring value, wherein the larger the value of the safety monitoring value is, the lower the theft risk of the anesthetic agent is;
comparing the risk traceability value and the safety monitoring value with a preset risk traceability value threshold value and a preset safety monitoring value threshold value which are recorded and stored in the risk traceability value and the safety monitoring value, and analyzing the risk traceability value and the safety monitoring value:
if the risk tracing value is smaller than the preset risk tracing value threshold value and the safety monitoring value is larger than the preset safety monitoring value threshold value, generating a safety signal and sending the safety signal to the integration evaluation unit;
if the risk tracing value is greater than or equal to a preset risk tracing value threshold value or the safety monitoring value is less than or equal to a preset safety monitoring value threshold value, generating an alarm signal and sending the alarm signal to a feedback management unit, wherein the feedback management unit immediately makes a preset early warning operation corresponding to the alarm signal after receiving the alarm signal, so that the anesthetic storage management mode is optimized in time, the risk of the anesthetic being stolen is reduced, and the storage safety of the anesthetic is improved;
the integrated evaluation unit immediately performs overall safety storage, supervision, evaluation and analysis on the anesthetic agent after receiving the decision evaluation signal and the safety signal so as to judge whether the overall storage safety of the anesthetic agent storage point is reasonable or not, so that reasonable management can be performed timely, and the specific overall safety storage, supervision, evaluation and analysis process is as follows:
acquiring a stored deviation value corresponding to the decision evaluation signal, acquiring a risk tracing value and a safety monitoring value corresponding to the safety signal, and respectively marking the stored deviation value, the risk tracing value and the safety monitoring value as CP, FZ and AJ;
according to the formulaObtaining a safe fusion storage evaluation coefficient, wherein f1, f2 and f3 are preset weight factor coefficients for storing a deviation value, a risk tracing value and a safe monitoring value respectively, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset fault tolerance factor coefficient, the value is 1.228, Z is a safe fusion storage evaluation coefficient, the size of the coefficient is a specific numerical value obtained by quantizing each parameter, the subsequent comparison is convenient, the corresponding coefficient is preliminarily set according to the number of sample data and the sample data of each group by a person skilled in the art, and the safe fusion storage evaluation coefficient Z is compared with a preset safe fusion storage evaluation coefficient threshold value recorded and stored in the safe fusion storage evaluation coefficient Z as long as the proportional relation between the parameter and the quantized numerical value is not influenced:
if the safety fusion storage evaluation coefficient Z is smaller than or equal to a preset safety fusion storage evaluation coefficient threshold value, a management control signal is generated and sent to a feedback management unit, and the feedback management unit immediately performs preset early warning operation corresponding to the management control signal after receiving the management control signal, so that the anesthetic storage point is managed reasonably in time, and the overall storage safety of the anesthetic is improved;
if the safety fusion storage evaluation coefficient Z is larger than a preset safety fusion storage evaluation coefficient threshold value, a signal to be managed is generated, when the signal to be managed is generated, the safety fusion storage evaluation coefficient Z corresponding to the signal to be managed is obtained, meanwhile, the safety fusion storage evaluation coefficient of normal storage of the anesthetic agent for n times is obtained, n is a natural number larger than zero, the difference value between the two safety fusion storage evaluation coefficients is obtained, the safety floating value is marked by the difference value between the two safety fusion storage evaluation coefficients, the mean value of the safety floating value is obtained, the mean value of the safety floating value is marked as a stable storage risk value, and the larger the value of the stable storage risk value is required to be, the safety storage abnormal risk of the anesthetic agent storage point is larger, and the stable storage risk value is compared with the preset stable storage risk value threshold value recorded and stored in the safety fusion storage evaluation coefficient.
If the stable storage risk value is smaller than a preset stable storage risk value threshold, no signal is generated;
if the stable storage risk value is greater than or equal to a preset stable storage risk value threshold, generating a fluctuation signal, and sending the fluctuation signal to a feedback management unit, wherein the feedback management unit immediately makes a preset early warning operation corresponding to the fluctuation signal after receiving the fluctuation signal, so that the anesthetic agent storage point can be reasonably regulated and controlled in time, the safe storage fluctuation range of the anesthetic agent storage point can be reduced, and the storage stability and the storage environment management effect of the anesthetic agent storage point can be improved;
in summary, the invention analyzes the medicament quality interference environment and the medicament prevention environment stored by the anesthetic medicament to ensure the storage quality and the safety of the anesthetic medicament, is favorable for management personnel to reasonably and pertinently store and manage the anesthetic medicament in time, is favorable for improving the overall storage safety of the anesthetic medicament, and performs information feedback early warning operation on stored data to judge whether the environment stored by the anesthetic medicament is normal or not so as to timely manage the anesthetic medicament storage environment, so as to improve the safety of the anesthetic medicament storage, and simultaneously performs progressive safety evaluation analysis on target equipment in an information feedback manner so as to judge whether the overall safety of the anesthetic medicament storage environment is qualified or not, so as to timely optimize the anesthetic medicament storage decision and ensure the storage quality and the safety of the anesthetic medicament, and perform medicament use safety supervision evaluation analysis on the prevention data so as to judge whether the anesthetic medicament is stolen or not, and on the premise of the safety of the anesthetic medicament storage, the overall safety supervision evaluation analysis is performed on the anesthetic medicament so as to judge whether the overall storage safety of the anesthetic medicament is reasonable or not, so as to conveniently improve the safety of the anesthetic storage point, and rationalize the safety of the anesthetic medicament storage point, store the safety of the anesthetic medicament in time, and the safety of the safety fluctuation is improved.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (1)
1. The anesthetic agent storage environment monitoring and managing system based on data analysis is characterized by comprising a management and control platform, a data acquisition unit, an environment supervision unit, a safety precaution unit, a storage evaluation unit, an integration evaluation unit and a feedback management unit;
when the management and control platform generates a management and control instruction, the management and control instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires storage data and prevention data of the anesthetic agent after receiving the management and control instruction, the storage data comprises a facility safety value and an environment constraint value, the prevention data comprises a risk tracing value and a monitoring management value, the storage data and the prevention data are respectively sent to the environment monitoring unit and the safety prevention unit, the environment monitoring unit immediately performs information feedback early warning operation and formulation comparison feedback analysis on the storage data after receiving the storage data, and the obtained safety signal and risk signal are sent to the feedback management unit and the storage evaluation unit;
the storage evaluation unit immediately performs progressive safety evaluation analysis on the target equipment after receiving the alarm signal safety signal and the risk signal, sends the obtained feedback management signal and the obtained optimized signal to the feedback management unit through the environment supervision unit, and sends the obtained decision evaluation signal to the integration evaluation unit through the environment supervision unit;
the safety precaution unit immediately carries out medicament use safety supervision and evaluation analysis on the precaution data after receiving the precaution data, sends the obtained safety signal to the integration evaluation unit, and sends the obtained alarm signal to the feedback management unit;
the integrated evaluation unit immediately performs overall safety storage, supervision and evaluation analysis on the anesthetic agent after receiving the decision evaluation signal and the safety signal, and sends the obtained control signal and fluctuation signal to the feedback management unit;
the information feedback early warning operation process of the environment supervision unit is as follows:
acquiring the duration of a period of time after the anesthetic agent starts to be stored, marking the duration as a time threshold, acquiring storage equipment in an anesthetic agent storage point in the time threshold, marking the storage equipment as target equipment, acquiring a facility safety value of the target equipment in the time threshold, wherein the facility safety value represents the ratio of the number of times of anesthetic agent storage abnormality caused by the target equipment to the total number of times of storage, comparing the facility safety value with a stored preset facility safety value threshold for analysis, and if the facility safety value is larger than the preset facility safety value threshold, marking part of facility risk values with the facility safety value larger than the preset facility safety value threshold;
acquiring an environment constraint value of target equipment in a time threshold, wherein the environment constraint value represents the number of the corresponding numerical value of an internal environment parameter exceeding a preset threshold, the internal environment parameter comprises an environment humidity abrupt change value and an environment temperature average value, the environment humidity abrupt change value represents the part of a humidity change curve, the maximum fluctuation value of which exceeds the preset environment humidity abrupt change value threshold, the target equipment is marked as i, i is a natural number larger than zero, and meanwhile, facility risk values and environment constraint values are respectively marked as SFi and HYi;
the formulation comparison feedback analysis process of the environment supervision unit is as follows:
according to the formulaObtaining a facility storage evaluation coefficient of each target device, wherein a1 and a2 are preset scale factor coefficients of a facility risk value and an environment constraint value respectively, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.221, si is a facility storage evaluation coefficient of each target device, and the facility storage evaluation coefficient Si is compared with a preset facility storage evaluation coefficient threshold value recorded and stored in the facility storage evaluation coefficient:
if the ratio between the facility storage evaluation coefficient Si and the preset facility storage evaluation coefficient threshold is smaller than 1, generating a safety signal;
if the ratio between the facility storage evaluation coefficient Si and the preset facility storage evaluation coefficient threshold is greater than or equal to 1, generating a risk signal;
the progressive safety evaluation analysis process of the storage evaluation unit comprises the following steps:
the method comprises the steps of obtaining the total number of target devices corresponding to risk signals and the total number of target devices corresponding to safety signals, marking the ratio of the total number of target devices corresponding to the risk signals to the total number of target devices corresponding to the safety signals as a storage deviation value, and comparing the storage deviation value with a preset storage deviation value threshold value recorded and stored in the storage deviation value:
if the ratio between the stored deviation value and the preset stored deviation value threshold is greater than or equal to 1, generating a feedback management signal;
if the ratio between the stored deviation value and the preset stored deviation value threshold is smaller than 1, generating a decision evaluation signal, when the decision evaluation signal is generated, acquiring the stored deviation value of the normal storage of the historical k times of anesthetic agents, wherein k is a natural number larger than zero, constructing a set A of stored deviation values, establishing a rectangular coordinate system by taking a subset in the set A as an X axis and the stored deviation value as a Y axis, drawing a stored deviation value curve in a dot drawing mode, further acquiring a change trend value of the stored deviation value curve, marking the change trend value as a stored trend risk value, and comparing the stored trend risk value with the preset stored trend risk value threshold recorded in the stored trend risk value:
if the stored trend risk value is smaller than a preset stored trend risk value threshold, no signal is generated;
if the storage trend risk value is greater than or equal to a preset storage trend risk value threshold, generating an optimization signal;
the medicament use safety supervision and evaluation analysis process of the safety precaution unit is as follows:
s1: acquiring a risk tracing value of the anesthetic in the time threshold, wherein the risk tracing value represents a product value obtained by carrying out data normalization processing on the part of the number of the use permission persons exceeding the preset use permission persons and the part of the number of the application using steps exceeding the preset application using steps;
s2: drawing a circle by taking an anesthetic agent storage point as a circle center and R1 as a radius, marking a circular area surrounding the anesthetic agent storage point as a monitoring area, acquiring a monitoring management value of the monitoring area where the anesthetic agent storage point is positioned in a time threshold, wherein the monitoring management value represents a product value obtained by carrying out data normalization processing on the maximum monitoring angle of monitoring equipment and the ratio of the monitored area of the anesthetic agent storage point to the area of the anesthetic agent storage point, comparing the monitoring management value with a stored preset monitoring management value threshold, and marking a part of the monitoring management value which is larger than the preset monitoring management value threshold as a safety monitoring value if the monitoring management value is larger than the preset monitoring management value threshold;
s3: comparing the risk traceability value and the safety monitoring value with a preset risk traceability value threshold value and a preset safety monitoring value threshold value which are recorded and stored in the risk traceability value and the safety monitoring value, and analyzing the risk traceability value and the safety monitoring value:
if the risk tracing value is smaller than the preset risk tracing value threshold value and the safety monitoring value is larger than the preset safety monitoring value threshold value, generating a safety signal;
if the risk tracing value is greater than or equal to a preset risk tracing value threshold value or the safety monitoring value is less than or equal to a preset safety monitoring value threshold value, generating an alarm signal;
the whole safety storage supervision evaluation analysis process of the integrated evaluation unit is as follows:
acquiring a stored deviation value corresponding to the decision evaluation signal, acquiring a risk tracing value and a safety monitoring value corresponding to the safety signal, and respectively marking the stored deviation value, the risk tracing value and the safety monitoring value as CP, FZ and AJ;
according to the formulaObtaining a safe fusion storage evaluation coefficient, wherein f1, f2 and f3 are preset weight factor coefficients of a storage deviation value, a risk tracing value and a safety monitoring value respectively, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset fault-tolerant factor coefficient, the value is 1.228, Z is the safe fusion storage evaluation coefficient, and the safe fusion storage evaluation coefficient Z is compared with a preset safe fusion storage evaluation coefficient threshold value recorded and stored in the safe fusion storage evaluation coefficient Z:
if the safety fusion storage evaluation coefficient Z is smaller than or equal to a preset safety fusion storage evaluation coefficient threshold value, generating a control signal;
if the safety fusion storage evaluation coefficient Z is larger than a preset safety fusion storage evaluation coefficient threshold value, a signal to be managed is generated, when the signal to be managed is generated, the safety fusion storage evaluation coefficient Z corresponding to the signal to be managed is obtained, meanwhile, the safety fusion storage evaluation coefficient of normal storage of the history n times of anesthetic is obtained, n is a natural number larger than zero, the difference value between two connected safety fusion storage evaluation coefficients is obtained, the safety floating value is marked by the difference value between the two connected safety fusion storage evaluation coefficients, the average value of the safety floating value is obtained, the average value of the safety floating value is marked as a stable storage risk value, and the stable storage risk value is compared with the preset stable storage risk value threshold value recorded and stored in the stable storage risk value:
if the stable storage risk value is smaller than a preset stable storage risk value threshold, no signal is generated;
and if the stable storage risk value is greater than or equal to a preset stable storage risk value threshold, generating a fluctuation signal.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004060443A2 (en) * | 2002-12-27 | 2004-07-22 | Scott Laboratories, Inc. | Apparatuses and methods for automatically assessing and monitoring a patient’s responsiveness |
| KR101816606B1 (en) * | 2017-05-26 | 2018-01-09 | 주식회사 사이어트 (SYATT Co.,Ltd.) | A System for Storing and Managing a Special Treated Medicine Article Including a Narcotic by Various Electric Sensor Module and a Method for the Same |
| CN114649086A (en) * | 2022-05-13 | 2022-06-21 | 山东润一智能科技有限公司 | Intelligent microorganism monitoring system based on medical health safety |
| CN115868942A (en) * | 2023-03-09 | 2023-03-31 | 昌乐县人民医院 | Monitoring and analyzing system for body temperature and anesthesia revival |
| CN117060594A (en) * | 2023-10-11 | 2023-11-14 | 宁波天仑电气股份有限公司 | Power distribution operation monitoring system based on Internet of things |
| CN117057966A (en) * | 2023-10-10 | 2023-11-14 | 山东朝辉自动化科技有限责任公司 | Material yard stock management system and method based on digital analysis |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090124867A1 (en) * | 2007-11-13 | 2009-05-14 | Hirsh Robert A | Method and device to administer anesthetic and or vosactive agents according to non-invasively monitored cardiac and or neurological parameters |
| DE102020128298A1 (en) * | 2020-10-28 | 2022-04-28 | Fresenius Medical Care Deutschland Gmbh | Patient monitor system for collecting data from a patient, display device, medical treatment device and method |
-
2024
- 2024-01-05 CN CN202410016274.3A patent/CN117524444B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004060443A2 (en) * | 2002-12-27 | 2004-07-22 | Scott Laboratories, Inc. | Apparatuses and methods for automatically assessing and monitoring a patient’s responsiveness |
| KR101816606B1 (en) * | 2017-05-26 | 2018-01-09 | 주식회사 사이어트 (SYATT Co.,Ltd.) | A System for Storing and Managing a Special Treated Medicine Article Including a Narcotic by Various Electric Sensor Module and a Method for the Same |
| CN114649086A (en) * | 2022-05-13 | 2022-06-21 | 山东润一智能科技有限公司 | Intelligent microorganism monitoring system based on medical health safety |
| CN115868942A (en) * | 2023-03-09 | 2023-03-31 | 昌乐县人民医院 | Monitoring and analyzing system for body temperature and anesthesia revival |
| CN117057966A (en) * | 2023-10-10 | 2023-11-14 | 山东朝辉自动化科技有限责任公司 | Material yard stock management system and method based on digital analysis |
| CN117060594A (en) * | 2023-10-11 | 2023-11-14 | 宁波天仑电气股份有限公司 | Power distribution operation monitoring system based on Internet of things |
Non-Patent Citations (4)
| Title |
|---|
| Control of drug administration during monitored anesthesia care;Antonello L.G, 等;《IEEE Transactions on Automation Science and Engineering》;20090401;第6卷(第2期);第256-264页 * |
| Triyank Mishra,等.Home Advances in Fluid and Thermal Engineering Conference paper Air-Conditioning System in Surgical and Critical Care: A Review.《Advances in Fluid and Thermal Engineering》.2021,第661–672页. * |
| 兰秀林.医院药品智能化管理系统建设.《中国优秀硕士学位论文全文数据库医药卫生科技辑》.2016,(第3期),第E079-157页. * |
| 手术室毒麻药智能化综合管理系统设计与实现;孙林颖, 等;《信息技术》;20210531(第5期);第21-27+33页 * |
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