CN117151655B - Comprehensive analysis management system and method for multiple project detection results - Google Patents
Comprehensive analysis management system and method for multiple project detection results Download PDFInfo
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Abstract
The invention discloses a comprehensive analysis management system and method for multiple project detection results, belonging to the technical field of medical detection data management; determining whether the medicine opening of a medicine-opening person is abnormal or not by carrying out traversal matching on all medicine opening names and a plurality of sample medicine names in a sample medicine set corresponding to the medical project detection result in sequence, and carrying out traceability verification on the medicine opening with the abnormality so as to improve the accuracy of abnormal medicine opening identification of automatic matching analysis; expanding and excavating the medicine opening monitoring analysis data of different medicine opening personnel in the earlier stage, and carrying out simultaneous calculation on the medicine opening monitoring analysis data of different medicine opening personnel to analyze and classify the overall medicine opening violation condition of the medicine opening personnel in the basic monitoring period; the method and the device are used for solving the technical problems that in the existing scheme, monitoring and analysis cannot be automatically implemented on the drug delivery conditions corresponding to different medical detection project results, and dynamic management is implemented on different illegal drug delivery personnel according to the analysis results.
Description
Technical Field
The invention relates to the technical field of medical detection data management, in particular to a comprehensive analysis management system and method for multiple detection results.
Background
Medical testing generally refers to the process of performing various examinations, tests, and evaluations on patients in the medical field to determine their health status, disease risk, and diagnosis; medical testing can help doctors make more accurate diagnoses, formulate appropriate treatment regimens, and monitor the health of patients. The method comprises the steps of carrying out a first treatment on the surface of the
Medical detection items include, but are not limited to, blood routine analysis, coagulation system analysis, blood gas analysis, urinary sediment analysis, blood sedimentation analysis, blood type detection, cross matching, electrochemical detection of thyroid function, insulin, hepatitis B surface antigen, digestive system tumor markers, etc., as well as microbial isolation culture and identification, blood culture detection, microbial drug sensitivity experiments, etc.
When the existing comprehensive analysis management scheme for medical project detection results is implemented, whether the medicine-opening conditions of different doctors are illegal or not can not be automatically monitored and evaluated according to different medical detection results, so that a data island is formed between processing measures corresponding to different medical detection results, supervision on the medicine-opening conditions of the doctors is not facilitated, teaching and training of follow-up trainers in the aspect of medical project detection are not utilized, and the effect of medical project detection result data management and utilization is poor.
Disclosure of Invention
The invention aims to provide a comprehensive analysis management system and method for multiple project detection results, which are used for solving the technical problems that in the existing scheme, monitoring analysis cannot be automatically implemented on the drug-opening conditions corresponding to different medical detection project results, and dynamic management is implemented on different illegal drug-opening personnel according to the analysis results.
The aim of the invention can be achieved by the following technical scheme:
the comprehensive analysis management system for the multi-project detection results comprises a project detection result statistical processing module, a detection result processing module and a processing module, wherein the project detection result statistical processing module is used for preprocessing data of different medical project detection results to obtain detection result processing data, and acquiring a sample medicine set of the corresponding medical project detection results according to the detection result processing data;
the project detection result supervision analysis module is used for carrying out rationality evaluation on the medicine-starting data corresponding to the medical project detection result according to the sample medicine set to obtain detection result processing evaluation data;
the project detection result utilization management module is used for dynamically managing the follow-up medicine opening behaviors of the medicine opening personnel corresponding to the medicine opening data according to the processing and evaluation data of different detection results, and comprises the steps of maintaining the monitoring evaluation of the existing basic monitoring period of the medicine opening personnel, implementing the monitoring evaluation through one type of adjustment monitoring period or implementing the monitoring evaluation through two types of adjustment monitoring periods; the period duration corresponding to the first type of adjustment monitoring period is smaller than the period duration corresponding to the basic monitoring period, and the period duration corresponding to the second type of adjustment monitoring period is smaller than the period duration corresponding to the first type of adjustment monitoring period.
Preferably, the working steps of the project detection result statistical processing module include:
numbering and marking the detection results of different medical items generated in real time according to the time sequence; when preprocessing data is carried out on different medical item detection results in sequence, different detection items in the medical item detection results are acquired, numbered and marked according to the detection sequence;
and acquiring actual detection values of different detection items and corresponding standard detection ranges, comparing and judging the actual detection values of the different detection items with the corresponding standard detection ranges according to the detection sequence, marking the detection items corresponding to the actual detection values which do not belong to the standard detection ranges as selected detection items, and evaluating and determining the abnormality corresponding to the selected detection items.
Preferably, if the actual detection value of the selected detection item is greater than the maximum value of the standard detection range, associating the selected detection item with a high index influence tag;
if the actual detection value of the selected detection item is smaller than the minimum value of the standard detection range, the selected detection item is associated with a low index influence label;
summarizing and sorting all selected detection items in the medical item detection results and corresponding high index influence tags or low index influence tags to obtain detection result processing data;
performing traversal matching on all selected detection items or corresponding high index influence tags or low index influence tags in the detection result processing data and all sample detection items and all sample index influence tags in a sample detection item database to obtain corresponding sample drug names;
and performing de-duplication on a plurality of sample medicine names obtained by matching all the selected detection items, combining the sample medicine names to obtain a sample medicine set corresponding to the medical item detection result, and uploading the sample medicine set to the item detection supervision platform.
Preferably, the working steps of the project detection result supervision and analysis module include:
when the rationality evaluation is carried out on the medicine-opening data corresponding to the medical item detection result, traversing the medicine-opening data corresponding to the medical item detection result to obtain all medicine-opening names, and carrying out traversing matching on all the medicine-opening names and a plurality of sample medicine names in the sample medicine collection corresponding to the medical item detection result in sequence;
if the sample medicine set does not have the sample medicine name which is the same as the medicine name, marking the medicine name as an abnormal medicine name and generating a verification signal;
and sending the medical project detection result and the corresponding medicine-opening data to a verification personnel for manual verification according to the verification signal to obtain a verification result containing an abnormal medicine-opening name valid label or an abnormal medicine-opening name invalid label.
Preferably, the abnormal medicine-starting name of the medical project detection result is stored into a sample detection item database for data updating according to the abnormal medicine-starting name effective label in the auditing result;
alarming and prompting a drug-opening person corresponding to the drug-opening data of the medical project detection result according to the abnormal drug-opening name invalidation label in the auditing result, and adding one to the total illegal drug-opening number of the drug-opening person;
if the sample medicine set has the same sample medicine name as the medicine name, marking the medicine name as a normal medicine name;
and processing the evaluation data by the abnormal drug-taking names and the corresponding auditing results and the detection results and uploading the evaluation data to the project detection supervision platform.
Preferably, the project detection result utilization management module comprises the following working steps:
in the basic monitoring period, all the drug-opening personnel are numbered in sequence and marked as i, i=1, 2,3, … … and n; n is a positive integer; counting all detection results corresponding to the drug-opening personnel according to the numbering sequence, processing the total number WZi of the illegal drug-opening in the evaluation data, acquiring the drug name of each illegal drug-opening, acquiring the value of retail price corresponding to the drug name, and marking the value as illegal weight WQi; extracting the numerical value of each item of marked data and obtaining the corresponding violation influence coefficient of the drug-taking personnel through calculation;
when the illegal drug-opening state of the drug-opening personnel is analyzed and evaluated according to the illegal influence coefficient, the illegal influence coefficient is compared with a preset illegal influence threshold value, and drug-opening evaluation data consisting of an uncorrupted signal and one class of drug-opening personnel, a mild illegal signal and two classes of drug-opening personnel or a severe illegal signal and three classes of drug-opening personnel are obtained.
Preferably, the calculation formula of the violation influence coefficient Wx is as followsThe method comprises the steps of carrying out a first treatment on the surface of the Wherein, alpha i is department influence factors corresponding to departments where different drug-taking staff are located.
Preferably, if the violation influence coefficient is equal to zero, generating a non-violation signal and marking the corresponding drug personnel as a class of drug personnel;
if the violation influence coefficient is greater than zero and not greater than the violation influence threshold, generating a mild violation signal and marking the corresponding drug-opening personnel as class II drug-opening personnel;
if the violation influence coefficient is larger than the violation influence threshold, a severe violation signal is generated and the corresponding drug-opening personnel are marked as three types of drug-opening personnel.
Preferably, when the subsequent medicine-opening behavior of the medicine-opening personnel is dynamically managed according to the medicine-opening evaluation data, the medicine-opening evaluation data of the medicine-opening personnel are traversed, and the existing basic monitoring period is maintained for the medicine-opening personnel according to the non-violation signals, the light violation signals or the heavy violation signals obtained by traversing, the monitoring and evaluation are implemented through one type of adjustment monitoring period or the monitoring and evaluation are implemented through two types of adjustment monitoring periods
In order to solve the problem, the invention also provides a comprehensive analysis management method for the multi-item detection result, which comprises the following steps:
preprocessing data of detection results of different medical items to obtain detection result processing data, and acquiring a sample medicine set of the corresponding medical item detection result according to the detection result processing data;
performing rationality evaluation on the start medicine data corresponding to the medical project detection result according to the sample medicine set to obtain detection result processing evaluation data;
processing evaluation data according to different detection results to dynamically manage the follow-up drug opening behaviors of a drug operator corresponding to the drug opening data, wherein the dynamic management comprises the steps of maintaining the monitoring evaluation of the existing basic monitoring period for the drug operator, implementing the monitoring evaluation through one type of adjustment monitoring period or implementing the monitoring evaluation through two types of adjustment monitoring periods; the period duration corresponding to the first type of adjustment monitoring period is smaller than the period duration corresponding to the basic monitoring period, and the period duration corresponding to the second type of adjustment monitoring period is smaller than the period duration corresponding to the first type of adjustment monitoring period.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the corresponding sample medicine set is obtained by preprocessing the data of the detection results of different medical projects and performing traversal matching with the sample detection item database, reliable data support can be provided for the rationality monitoring analysis of the follow-up medicine opening of the medicine opening personnel through the sample medicine set, meanwhile, standard and effective teaching data support can be provided for the practice guidance of the practice personnel, and the diversity of the monitoring data utilization of the medical project detection results is improved.
According to the invention, whether the medicine of the medicine-dispensing person is abnormal or not is determined by carrying out traversal matching on all the medicine-dispensing names and a plurality of sample medicine names in the sample medicine set corresponding to the medical project detection result, and a traceable verification is carried out on the medicine with the abnormality, so that the accuracy of abnormal medicine-dispensing identification of automatic matching analysis is improved through the verification of the auditor, meanwhile, reliable data support can be provided for perfect updating of a sample detection item database, and the accuracy of medicine-dispensing data monitoring analysis and the diversity of utilization are improved.
According to the invention, by expanding and excavating the open medicine monitoring analysis data of different open medicine personnel in the early stage, the open medicine monitoring analysis data of different open medicine personnel are simultaneously calculated to obtain the corresponding violation influence coefficient, and the open medicine personnel are analyzed and classified according to the violation influence coefficient in the whole open medicine violation condition in the basic monitoring period, so that the open medicine violation condition of different open medicine personnel can be intuitively and comprehensively obtained, the sharing and the effectiveness analysis of the open medicine data are realized, the effective data support is provided for the follow-up supervision of the open medicine personnel with different violation degrees, and the diversity and the transparency of the open medicine utilization of the medical project detection result data are improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a system for comprehensive analysis and management of multiple project test results according to the present invention.
FIG. 2 is a block flow diagram of a method for comprehensive analysis and management of multiple item test results according to the present invention.
Fig. 3 is a schematic structural diagram of a computer device implementing a comprehensive analysis management system for multiple project detection results.
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 are obtained by persons skilled in the art without any inventive effort, are within the scope of the present invention based on the embodiments of the present invention.
Example 1:
as shown in FIG. 1, the invention relates to a comprehensive analysis management system for multiple project detection results, which comprises a project detection result statistical processing module, a project detection result supervision analysis module and a project detection supervision platform;
the project detection result statistical processing module is used for preprocessing the data of the detection results of different medical projects to obtain detection result processing data, and acquiring a sample medicine set of the corresponding medical project detection result according to the detection result processing data; comprising the following steps:
numbering and marking different medical item detection results generated in real time according to Beijing time in time sequence;
the detection corresponding to different medical items can be a plurality of detection items of urine detection, and the plurality of detection items are conventional detection items including but not limited to the scheme, and specific contents are not limited to urine red blood cells, urine white blood cells, urine proteins, urine glucose and urine ketone bodies;
when preprocessing data is carried out on different medical item detection results in sequence, different detection items in the medical item detection results are acquired, numbered and marked according to the detection sequence;
acquiring actual detection values of different detection items and corresponding standard detection ranges, determining the standard detection ranges according to the existing standard data of the different detection items, comparing and judging the actual detection values of the different detection items with the corresponding standard detection ranges according to the detection sequence, marking the detection items corresponding to the actual detection values which do not belong to the standard detection ranges as selected detection items, and evaluating and determining the abnormality corresponding to the selected detection items;
if the actual detection value of the selected detection item is larger than the maximum value of the standard detection range, associating the selected detection item with a high index influence label;
if the actual detection value of the selected detection item is smaller than the minimum value of the standard detection range, the selected detection item is associated with a low index influence label;
summarizing and sorting all selected detection items in the medical item detection results and corresponding high index influence tags or low index influence tags to obtain detection result processing data;
it is to be explained that whether the detection states of different detection items are normal or not is determined by sequentially analyzing, and the specific types of the abnormality are further evaluated and determined, so that reliable local detection data support can be provided for the rationality analysis of the drug-prescribed medicines of the different detection items;
performing traversal matching on all selected detection items or corresponding high index influence tags or low index influence tags in the detection result processing data and all sample detection items and all sample index influence tags in a sample detection item database to obtain corresponding sample drug names;
the sample detection item database can be composed of historical detection data of one three-dimensional hospital or a plurality of three-dimensional hospitals and corresponding verified drug delivery data, and verification of the drug delivery data is determined through research by a plurality of doctors corresponding to expert levels;
in addition, the sample drug names acquired by traversal matching can be multiple;
it is worth noting that, because the abnormality degree of different detection items is different and the health status of the corresponding patient is different, the method only stays in the aspect of reasonably monitoring and analyzing the medicine-opening aspect of the medicine-opening data, and does not relate to the aspect of higher professional requirements such as the medicine-opening quantity, the medicine-taking duration and the like;
and performing de-duplication on a plurality of sample medicine names obtained by matching all the selected detection items, combining the sample medicine names to obtain a sample medicine set corresponding to the medical item detection result, and uploading the sample medicine set to the item detection supervision platform.
According to the embodiment of the invention, the corresponding sample medicine set is obtained by preprocessing the data of the detection results of different medical projects and performing traversal matching with the sample detection item database, reliable data support can be provided for the rationality monitoring analysis of the follow-up medicine opening of the medicine opening staff through the sample medicine set, meanwhile, standard and effective teaching data support can be provided for the practice guidance of the practice staff, and the diversity of the monitoring data utilization of the medical project detection results is improved.
The project detection result supervision analysis module is used for carrying out rationality evaluation on the medicine-starting data corresponding to the medical project detection result according to the sample medicine set to obtain detection result processing evaluation data; comprising the following steps:
when the rationality evaluation is carried out on the medicine-opening data corresponding to the medical item detection result, traversing the medicine-opening data corresponding to the medical item detection result to obtain all medicine-opening names, and carrying out traversing matching on all the medicine-opening names and a plurality of sample medicine names in the sample medicine collection corresponding to the medical item detection result in sequence;
if the sample medicine set does not have the sample medicine name which is the same as the medicine name, marking the medicine name as an abnormal medicine name and generating a verification signal;
according to the verification signal, sending the medical project detection result and the corresponding medicine-opening data to a verification personnel for manual verification to obtain a verification result containing an abnormal medicine-opening name valid label or an abnormal medicine-opening name invalid label; the verification personnel can carry out verification judgment for a plurality of expert medical personnel of a third party; the effective label of the abnormal medicine-opening name or the ineffective label of the abnormal medicine-opening name is marked and determined by a verification person;
according to the abnormal medicine-opening name effective label in the auditing result, storing the abnormal medicine-opening name of the medical project detection result into a sample detection item database for data updating;
alarming and prompting a drug-opening person corresponding to the drug-opening data of the medical project detection result according to the abnormal drug-opening name invalidation label in the auditing result, and adding one to the total illegal drug-opening number of the drug-opening person;
if the sample medicine set has the same sample medicine name as the medicine name, marking the medicine name as a normal medicine name;
and processing the evaluation data by the abnormal drug-taking names and the corresponding auditing results and the detection results and uploading the evaluation data to the project detection supervision platform.
In the examples of the invention, whether the medicine of the medicine-taking person is abnormal or not is determined by carrying out traversal matching on all the medicine-taking names and a plurality of sample medicine names in a sample medicine set corresponding to the medical project detection result, and the abnormal medicine-taking identification accuracy of automatic matching analysis is improved by carrying out traceability verification on the medicine-taking medicine with abnormality, and meanwhile, reliable data support can be provided for perfect updating of a sample detection item database, and the accuracy of medicine-taking data monitoring analysis and the diversity of utilization are improved.
Example 2:
on the basis of the technical scheme of the embodiment 1, the method further comprises the following steps:
the project detection result utilization management module is used for processing the evaluation data according to different detection results to dynamically manage the follow-up medicine opening behaviors of the medicine opening personnel corresponding to the medicine opening data; comprising the following steps:
in the basic monitoring period, the unit of the basic monitoring period is day, specifically may be 60 days, all the medicine-opening personnel are numbered in sequence and marked as i, i=1, 2,3, … …, n; n is a positive integer; counting all detection results corresponding to the drug-opening personnel according to the numbering sequence, processing the total number WZi of the illegal drug-opening in the evaluation data, acquiring the drug name of each illegal drug-opening, acquiring the value of retail price corresponding to the drug name, and marking the value as illegal weight WQi;
extracting the numerical value of each item of marked data and passing through a formulaCalculating and obtaining a violation influence coefficient Wx corresponding to a medicine-opening person; the method comprises the steps that alpha is department influence factors corresponding to departments where different medical staff are located, the department influence factors corresponding to different departments can be determined according to historical medical accident big data corresponding to the departments, and can also be determined according to working experience of medical auditors, and the method is used for realizing digital representation of importance corresponding to different medical departments, wherein the larger the department influence factors are, the larger the importance of the corresponding departments is represented;
when analyzing and evaluating the illegal drug-dispensing state of the drug-dispensing personnel according to the illegal influence coefficient, comparing and judging the illegal influence coefficient with a preset illegal influence threshold; the violation influence threshold is determined according to the sample violation big data and the corresponding violation influence big data;
if the violation influence coefficient is equal to zero, generating a non-violation signal and marking the corresponding drug personnel as a class of drug personnel;
if the violation influence coefficient is greater than zero and not greater than the violation influence threshold, generating a mild violation signal and marking the corresponding drug-opening personnel as class II drug-opening personnel;
if the violation influence coefficient is larger than the violation influence threshold, generating a severe violation signal and marking the corresponding drug-opening personnel as three types of drug-opening personnel;
the non-violation signal and one class of drug-opening personnel, the mild violation signal and two classes of drug-opening personnel or the severe violation signal and three classes of drug-opening personnel form drug-opening evaluation data;
when the follow-up medicine opening behavior of the medicine opening personnel is dynamically managed according to the medicine opening evaluation data, traversing the medicine opening evaluation data of the medicine opening personnel, and respectively maintaining the monitoring evaluation of the existing basic monitoring period, performing the monitoring evaluation through one type of adjustment monitoring period or performing the monitoring evaluation through two types of adjustment monitoring periods according to the non-violation signals, the light violation signals or the heavy violation signals which are obtained through traversing;
the period duration corresponding to the first type of adjustment monitoring period is smaller than the period duration corresponding to the basic monitoring period, and the period duration corresponding to the second type of adjustment monitoring period is smaller than the period duration corresponding to the first type of adjustment monitoring period;
it should be noted that, different types of drug operators are subjected to differential drug-opening monitoring analysis through drug-opening evaluation data, and targeted drug-opening monitoring analysis can be implemented for the drug operators with different violation degrees, so that reliable data support can be provided for work management and performance management of subsequent drug operators;
according to the method and the device, the open medicine monitoring analysis data of different open medicine personnel in the early stage are expanded and mined, the open medicine monitoring analysis data of the different open medicine personnel are subjected to simultaneous calculation to obtain the corresponding violation influence coefficients, and the open medicine personnel are analyzed and classified according to the violation influence coefficients in the whole open medicine violation conditions in the basic monitoring period, so that the open medicine violation conditions of the different open medicine personnel can be intuitively and comprehensively obtained, the sharing and the effectiveness analysis of the open medicine data are realized, the effective data support is provided for the follow-up supervision of the open medicine personnel with different violation degrees, and the diversity and the transparency of the open medicine utilization of the medical project detection result data are improved.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula which is obtained by acquiring a large amount of data and performing software simulation through simulation software and is closest to the actual situation.
Example 3:
as shown in fig. 2, a comprehensive analysis management method for multiple item detection results includes:
preprocessing data of detection results of different medical items to obtain detection result processing data, and acquiring a sample medicine set of the corresponding medical item detection result according to the detection result processing data;
performing rationality evaluation on the start medicine data corresponding to the medical project detection result according to the sample medicine set to obtain detection result processing evaluation data;
and processing the evaluation data according to different detection results to dynamically manage the subsequent medicine opening behaviors of the medicine opening personnel corresponding to the medicine opening data, wherein the dynamic management comprises the steps of maintaining the monitoring evaluation of the existing basic monitoring period, implementing the monitoring evaluation through one type of adjustment monitoring period or implementing the monitoring evaluation through two types of adjustment monitoring periods for the medicine opening personnel.
Example 4:
fig. 3 is a schematic structural diagram of a computer device for implementing a comprehensive analysis management system for multiple-item detection results according to an embodiment of the present invention.
The computer device may include a processor, memory, and a bus, and may also include a computer program stored in the memory and executable on the processor, such as a program for a multiple item test result analysis-by-synthesis management system.
The memory includes at least one type of readable storage medium, including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory may in some embodiments be an internal storage unit of a computer device, such as a removable hard disk of the computer device. The memory may also be an external storage device of the computer device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. that are provided on the computer device. Further, the memory may also include both internal storage units and external storage devices of the computer device. The memory may be used not only for storing application software installed in a computer device and various types of data, for example, a code for a program of a multi-item detection result analysis-by-synthesis management system or the like, but also for temporarily storing data that has been output or is to be output.
The processor may in some embodiments be comprised of integrated circuits, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged in the same location or in different locations, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor is a Control Unit (Control Unit) of the computer apparatus, connects respective components of the entire computer apparatus using various interfaces and lines, executes or executes programs or modules stored in a memory (for example, a program for a multi-item detection result analysis-by-synthesis management system, etc.), and calls data stored in the memory to execute various locations of the computer apparatus and process the data.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between said memory and at least one processor or the like.
Fig. 3 shows only a computer device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the computer device and may include fewer or more components than shown, or may combine some of the components, or a different arrangement of components.
For example, although not shown, the computer device may further include a power source (such as a battery) for powering the various components, preferably the power source may be logically connected to the at least one processor by a power management device such that charge management, discharge management, and power consumption management are achieved by the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The computer device may also include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described in detail herein.
Further, the computer device may also include a network interface, which may optionally include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the computer device and other computer devices.
The computer device may optionally further comprise a user interface, which may be a Display, an input unit such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the computer device and for displaying a visual user interface.
It should be understood that the above-described embodiments are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
A program stored in a memory of a computer device for a multiple item test result analysis-by-synthesis management system is a combination of instructions.
In particular, the specific implementation method of the above instruction by the processor may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 2, which are not repeated herein.
Further, the modules/units integrated with the computer device may be stored in a computer readable storage medium if implemented in the form of software location units and sold or used as stand-alone products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of a computer device, causes a computer to perform the method of the invention.
In the several embodiments provided in the present invention, it should be understood that the disclosed method may be implemented in other manners. For example, the above-described embodiments of the invention are merely illustrative, e.g., the division of modules is merely a logical location 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 location 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 may be implemented in hardware or in hardware plus software location 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 (10)
1. A comprehensive analysis management system for multiple-item detection results, comprising:
the project detection result statistical processing module is used for preprocessing the data of the detection results of different medical projects to obtain detection result processing data, and acquiring a sample medicine set of the corresponding medical project detection result according to the detection result processing data;
the project detection result supervision analysis module is used for carrying out rationality evaluation on the medicine-starting data corresponding to the medical project detection result according to the sample medicine set to obtain detection result processing evaluation data;
the project detection result utilization management module is used for dynamically managing the follow-up medicine opening behaviors of the medicine opening personnel corresponding to the medicine opening data according to the processing and evaluation data of different detection results, and comprises the steps of maintaining the monitoring evaluation of the existing basic monitoring period of the medicine opening personnel, implementing the monitoring evaluation through one type of adjustment monitoring period or implementing the monitoring evaluation through two types of adjustment monitoring periods; the period duration corresponding to the first type of adjustment monitoring period is smaller than the period duration corresponding to the basic monitoring period, and the period duration corresponding to the second type of adjustment monitoring period is smaller than the period duration corresponding to the first type of adjustment monitoring period.
2. The system for comprehensive analysis and management of multiple project test results according to claim 1, wherein the project test result statistical processing module comprises:
numbering and marking the detection results of different medical items generated in real time according to the time sequence; when preprocessing data is carried out on different medical item detection results in sequence, different detection items in the medical item detection results are acquired, numbered and marked according to the detection sequence;
and acquiring actual detection values of different detection items and corresponding standard detection ranges, comparing and judging the actual detection values of the different detection items with the corresponding standard detection ranges according to the detection sequence, marking the detection items corresponding to the actual detection values which do not belong to the standard detection ranges as selected detection items, and evaluating and determining the abnormality corresponding to the selected detection items.
3. The system for comprehensive analysis and management of multiple-item detection results according to claim 2, wherein if the actual detection value of the selected detection item is greater than the maximum value of the standard detection range, associating the selected detection item with a high index influence tag;
if the actual detection value of the selected detection item is smaller than the minimum value of the standard detection range, the selected detection item is associated with a low index influence label;
summarizing and sorting all selected detection items in the medical item detection results and corresponding high index influence tags or low index influence tags to obtain detection result processing data;
performing traversal matching on all selected detection items or corresponding high index influence tags or low index influence tags in the detection result processing data and all sample detection items and all sample index influence tags in a sample detection item database to obtain corresponding sample drug names;
and performing de-duplication on a plurality of sample medicine names obtained by matching all the selected detection items, combining the sample medicine names to obtain a sample medicine set corresponding to the medical item detection result, and uploading the sample medicine set to the item detection supervision platform.
4. The system for comprehensive analysis and management of multiple project test results according to claim 1, wherein the project test result supervision and analysis module comprises the steps of:
when the rationality evaluation is carried out on the medicine-opening data corresponding to the medical item detection result, traversing the medicine-opening data corresponding to the medical item detection result to obtain all medicine-opening names, and carrying out traversing matching on all the medicine-opening names and a plurality of sample medicine names in the sample medicine collection corresponding to the medical item detection result in sequence;
if the sample medicine set does not have the sample medicine name which is the same as the medicine name, marking the medicine name as an abnormal medicine name and generating a verification signal;
and sending the medical project detection result and the corresponding medicine-opening data to a verification personnel for manual verification according to the verification signal to obtain a verification result containing an abnormal medicine-opening name valid label or an abnormal medicine-opening name invalid label.
5. The comprehensive analysis management system for multiple-item detection results according to claim 4, wherein the abnormal drug-dispensing name of the medical item detection result is stored in the sample detection item database according to the abnormal drug-dispensing name valid tag in the audit result for data update;
alarming and prompting a drug-opening person corresponding to the drug-opening data of the medical project detection result according to the abnormal drug-opening name invalidation label in the auditing result, and adding one to the total illegal drug-opening number of the drug-opening person;
if the sample medicine set has the same sample medicine name as the medicine name, marking the medicine name as a normal medicine name;
and processing the evaluation data by the abnormal drug-taking names and the corresponding auditing results and the detection results and uploading the evaluation data to the project detection supervision platform.
6. The system for comprehensive analysis and management of multiple project test results according to claim 5, wherein the project test result utilization management module comprises:
in the basic monitoring period, all the drug-opening personnel are numbered in sequence and marked as i, i=1, 2,3, … … and n; n is a positive integer; counting all detection results corresponding to the drug-opening personnel according to the numbering sequence, processing the total number WZi of the illegal drug-opening in the evaluation data, acquiring the drug name of each illegal drug-opening, acquiring the value of retail price corresponding to the drug name, and marking the value as illegal weight WQi; extracting the numerical value of each item of marked data and obtaining the corresponding violation influence coefficient of the drug-taking personnel through calculation;
when the illegal drug-opening state of the drug-opening personnel is analyzed and evaluated according to the illegal influence coefficient, the illegal influence coefficient is compared with a preset illegal influence threshold value, and drug-opening evaluation data consisting of an uncorrupted signal and one class of drug-opening personnel, a mild illegal signal and two classes of drug-opening personnel or a severe illegal signal and three classes of drug-opening personnel are obtained.
7. The system for analysis-by-synthesis management of multiple-item test results according to claim 6, wherein the calculation formula of the violation influence coefficient Wx isThe method comprises the steps of carrying out a first treatment on the surface of the Wherein, alpha i is department influence factors corresponding to departments where different drug-taking staff are located.
8. The system for comprehensive analysis and management of multiple project test results according to claim 6, wherein if the violation influence coefficient is equal to zero, generating a non-violation signal and marking the corresponding prescriber as a class of prescriber;
if the violation influence coefficient is greater than zero and not greater than the violation influence threshold, generating a mild violation signal and marking the corresponding drug-opening personnel as class II drug-opening personnel;
if the violation influence coefficient is larger than the violation influence threshold, a severe violation signal is generated and the corresponding drug-opening personnel are marked as three types of drug-opening personnel.
9. The comprehensive analysis management system for multi-project detection results according to claim 6, wherein when the subsequent drug administration behavior of the drug administration personnel is dynamically managed according to the drug administration evaluation data, the drug administration evaluation data of the drug administration personnel are traversed, and the monitoring evaluation of the existing basic monitoring period is maintained for the drug administration personnel according to the non-violation signal, the light violation signal or the heavy violation signal obtained by the traversing, the monitoring evaluation is implemented through one type of adjustment monitoring period, or the monitoring evaluation is implemented through two types of adjustment monitoring periods.
10. A comprehensive analysis management method for a multi-item detection result, applied to the comprehensive analysis management system for a multi-item detection result according to any one of claims 1 to 9, characterized by comprising:
preprocessing data of detection results of different medical items to obtain detection result processing data, and acquiring a sample medicine set of the corresponding medical item detection result according to the detection result processing data;
performing rationality evaluation on the start medicine data corresponding to the medical project detection result according to the sample medicine set to obtain detection result processing evaluation data;
processing evaluation data according to different detection results to dynamically manage the follow-up drug opening behaviors of a drug operator corresponding to the drug opening data, wherein the dynamic management comprises the steps of maintaining the monitoring evaluation of the existing basic monitoring period for the drug operator, implementing the monitoring evaluation through one type of adjustment monitoring period or implementing the monitoring evaluation through two types of adjustment monitoring periods; the period duration corresponding to the first type of adjustment monitoring period is smaller than the period duration corresponding to the basic monitoring period, and the period duration corresponding to the second type of adjustment monitoring period is smaller than the period duration corresponding to the first type of adjustment monitoring period.
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