CN115309965B - Hospital document file online management system based on big data - Google Patents
Hospital document file online management system based on big data Download PDFInfo
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Abstract
The invention discloses a hospital document file online management system based on big data, which relates to the technical field of hospital document management.
Description
Technical Field
The invention relates to the technical field of hospital document management, in particular to a hospital document file online management system based on big data.
Background
Document management refers to the consulting, storing, classifying and retrieving of documents, electronic forms, graphics and image scanning files, along with the further development and informatization process of the Internet, the document management is more and more valued by enterprises, along with the further development and informatization process of the Internet in hospitals, the document management is more and more valued by hospitals, in the treatment and development of hospitals, documents are important knowledge assets of hospitals, and can be medical conference records, medical development document descriptions, medical regulations and regulations, medical client data, medical design documents, medical project documents, medical experience and mental status of consumables of medical diseases and the like, and traditional paper documents are obviously inconvenient to reuse, store, search, share and the like, and in hospitals, the documents generally exist in the form of electronic documents at present;
in the process of treating diseases, a doctor or a nurse can apply for a certain amount of various medical supplies in excess to a back office worker, after treatment is completed, the doctor or the nurse can replay various unused medical supplies in the using process back to the back office, and simultaneously record the process to form an electronic document, the redundant meaning is the meaning of excess application, but the surplus is often too much, the redundant deviation of sensing the using amount of medical supplies in a department cannot be realized, a foundation cannot be laid for providing efficient and scientific management for the increment of a single medical supply in a periodic department under subsequent pre-judgment, meanwhile, the overall stability judgment of the whole medical supplies in the previous period and the depth judgment of the single supplementary medical supplies cannot be realized, the medical supplies can not be accurately and efficiently supplemented by the back office worker and the redundancy of adapting the medical supplies can not be improved, the stock pressure is large, and the management level degree of the medical supplies in the whole hospital is low;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to: the medical treatment document parameter table is corrected and analyzed in the process of registering and inputting medical treatment document parameter tables by a front-end user, a medical treatment passing document is generated on the basis of determining the accuracy of the input quantity, then the medical treatment passing document is stored according to time lines to generate a historical medical treatment document, then the historical medical treatment document is divided according to periods to obtain the internal parameters of the historical medical treatment document and is calibrated, evaluated and analyzed, the medical treatment document is accurately analyzed by utilizing a formulaic processing and normalized analysis and data integration construction output mode, a real-time surplus residue proportion is output accordingly, surplus deviation in the use process of medical supplies of departments is judged, a relevant real-time surplus deviation table is constructed, surplus deviation of the use condition of the medical supplies of the departments is induced, and a foundation is laid for efficient and scientific management of the increment of corresponding single medical supplies in subsequent pre-judgment next-period departments;
and the data information of the real-time surplus deviation table is accurately analyzed by utilizing a formulaic processing, normalized analysis and data integration construction output mode, so that a replenishment stability coefficient WA0 of the whole medical department and a replenishment stability coefficient WAm of a single medical department are output, and a replenishment constant coefficient table for generating brightness display is constructed, so that the overall stability judgment of the whole replenishment medical supplies in the previous period and the deep judgment of the single replenishment medical supplies are realized, the accurate and efficient replenishment of the medical supplies by the logistics personnel is improved, the surplus of the medical supplies is adapted, the inventory pressure is reduced, and the medical supply management of the whole hospital is improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
a hospital document file online management system based on big data comprises a medical text correction unit, a data storage unit, a department analysis unit, a chart editing unit and a chart editing unit;
the medical document correction unit is used for acquiring a medical document parameter table, wherein the medical document parameter table comprises medical supply serial numbers, medical supply names, medical supply consumption, medical supply application quantity, registrant signatures and registration dates, the medical supply consumption and the medical supply application quantity are corrected to generate a medical passing document, and the generated medical passing document is sent to the data storage unit for storage;
the data storage unit is used for receiving and storing data to generate a historical medical document;
the department analysis unit is used for calling all historical medical documents through the data storage unit, then carrying out quantitative normalization model processing on all the historical medical documents to generate a real-time surplus residual mean value and a real-time surplus residual proportion, and sending the real-time surplus residual mean value and the real-time surplus residual proportion to the chart editing unit;
the chart editing unit is used for receiving the real-time surplus residue average value and the real-time surplus residue proportion, calling the historical medical document through the data storage unit to construct a real-time surplus deviation table, and sending the real-time surplus deviation table to the data storage unit for storage and displaying at the display screen;
the pre-supplement correction unit is used for calling a real-time surplus deviation table through the data storage unit, carrying out fluctuation normalization model processing to generate a supplement stability coefficient of the whole medical department and a supplement stability coefficient of a single medical article displayed by brightness difference, and sending the supplement stability coefficients to the chart editing unit;
and the chart editing unit is also used for receiving the replenishment stability coefficient of the whole medical department and the replenishment stability coefficient of the single medical supply displayed by the brightness difference, combining the replenishment stability coefficient with the real-time surplus deviation table to construct a replenishment constant coefficient table, and sending the replenishment constant coefficient table to the data storage unit for storage and displaying on the display screen.
Further, the specific working steps of the medical text correction unit are as follows:
acquiring the medical supply consumption and the medical supply application amount under the same medical supply serial number and medical supply name in a medical document parameter table, comparing the medical supply consumption and the medical supply application amount, and highlighting the medical supply consumption and the medical supply application amount when the medical supply consumption is less than the medical supply application amount; when the medical supply consumption is equal to the medical supply application amount, displaying the medical supply consumption and the medical supply application amount in a low brightness mode, repeating the process, and displaying all contents in the medical document parameter table in a brightness mode; it should be noted that the amount of medical supplies applied is obviously greater than or equal to the consumption of medical supplies, and nurses obviously apply more medical supplies in the process of applying medical supplies to prevent insufficiency;
then, the quantity of brightness display in the medical document parameter table is obtained and compared with 0, and when the quantity of brightness display is equal to 0, a medical passing document is generated;
when the brightness display quantity is larger than 0, generating a hospital detection document and a correction determination text and sending the hospital detection document and the correction determination text to a front-end user, determining or correcting the quantity content of the highlighted hospital detection document medical texts by the front-end user, and generating a medical passing document after the front-end user determines or corrects the quantity content;
and sending the medical treatment passing document to a data storage unit for storage;
further, the correction determination text is "please determine whether the consumption amount of the medical supplies and the application amount of the medical supplies under the same name of the medical supplies need to be corrected".
Further, the working steps of the quantitative normalization model processing are as follows:
obtaining medical supply consumption and medical supply application amount in historical medical documents, and calculating and analyzing to obtain the average consumption of dynamic medical supplies, the standard deviation consumption of dynamic medical supplies, the average application amount of dynamic medical supplies and the standard deviation application amount of dynamic medical supplies;
the generated average consumption of the dynamic medical supplies, the consumption of standard deviation of the dynamic medical supplies, the average application amount of the dynamic medical supplies and the standard deviation application amount of the dynamic medical supplies are designated as XPM, XBM, SPM and SBM, and a supplement judgment reference YAm of the dynamic medical supplies is obtained through formula analysis; then comparing the supplement judgment reference YAm of the medical supplies with the preset value Yam to judge the surplus degree of the medical supplies:
and then, obtaining the real-time surplus residue ratio FAm according to a formula FAm = (YAm-YAm)/YAm, and averagely quantizing all the real-time surplus residue ratios FAm through the real-time surplus residue ratio FAm to generate a real-time surplus residue average value FA0.
Further, the working steps of the fluctuation normalization model processing are as follows:
extracting all real-time surplus residue mean values FA0 and real-time surplus residue proportions FAm of a real-time surplus deviation table, constructing a surplus residue mean value line graph and a surplus residue proportion line graph according to time line arrangement, then obtaining the surplus residue mean value line graph and the surplus residue proportion line graph of the latest preset time period, and calculating to obtain the fluctuation amplitude of the surplus residue mean value line graph, the frequency amplitude of the surplus residue mean value line graph, the fluctuation amplitude of the surplus residue proportions and the fluctuation frequency of the surplus residue proportions, respectively marking the fluctuation amplitudes as FF0, FP0, FFm and FPm, and then marking the FFm and the FPm as variables;
the replenishment stability factor of the whole medical department is WA0: WA0= kt0 FFm + kt1 FPm;
the replenishment stability factor of the individual medical supplies is WAm: WAm = k1m FFm + k2m FPm;
kt0 and kt1 are correction parameters of a replenishment stability coefficient of the whole medical department, k1m and k2m are correction parameters of the replenishment stability coefficient of a single medical product, and k1m and k2m are variables;
comparing the replenishment stability coefficient WA0 of the whole medical department with a replenishment preset value Wa0, and generating a low-brightness display signal when the replenishment stability coefficient WA0 of the whole medical department is not more than the replenishment preset value Wa 0;
when the replenishment stability coefficient WA0 of the whole medical department is larger than the replenishment preset value Wa0, generating a highlight display signal;
the replenishment stability factor of each single medical product is obtained as WAm, the replenishment stability factor is compared with a corresponding single replenishment preset value WAm, and when the replenishment stability factor of each single medical product is WAm smaller than the single replenishment preset value WAm, a single low-brightness display signal for carrying out low-brightness display marking on the single medical product is generated; when the replenishment stability coefficient of a single medical supply is WAm which is not less than the preset value WAm of the single replenishment, generating a single high-brightness display signal for highlighting and marking the single medical supply;
after the single high-brightness display signal is generated, highlighting the replenishment stability factor WAm of the corresponding single medical supply;
after the single low-brightness display signal is generated, the replenishment stability factor of the corresponding single medical article is WAm, and low-brightness display is carried out;
and when the whole low-brightness display signal is generated, displaying the replenishment stability coefficient of all the single medical supplies as WAm in a low-brightness mode.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
the invention carries out correction analysis in the process of registering and inputting a medical document parameter table by a front-end user, generates a medical passing document on the basis of determining the accuracy of the input quantity, then stores the medical passing document according to a time line and generates a historical medical document, then divides the historical medical document according to periods to obtain the internal parameters thereof and carries out calibration evaluation analysis, and utilizes the modes of formulaic processing, normalized analysis and data integration to construct output to accurately analyze the medical document and output the real-time surplus residual proportion according to the analysis, thereby realizing surplus deviation in the use process of judging medical supplies of departments and constructing a related real-time surplus deviation table, realizing surplus deviation in the use condition of the medical supplies of induction departments and laying a foundation for providing efficient and scientific management for the increment of corresponding single medical supplies in the subsequent pre-judged next-period departments;
and the data information of the real-time surplus deviation table is accurately analyzed by utilizing a formulaic processing, normalized analysis and data integration construction output mode, so that a replenishment stability coefficient WA0 of the whole medical department and a replenishment stability coefficient WAm of a single medical department are output, and a replenishment constant coefficient table for generating brightness display is constructed, so that the overall stability judgment of the whole replenishment medical supplies in the previous period and the deep judgment of the single replenishment medical supplies are realized, the accurate and efficient replenishment of the medical supplies by the logistics personnel is improved, the surplus of the medical supplies is adapted, the inventory pressure is reduced, and the medical supply management of the whole hospital is improved.
Drawings
Fig. 1 shows a flow chart of the structure of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Example 1:
as shown in fig. 1, an online management system for hospital documents and archives based on big data comprises a medical text correction unit, a data storage unit, a department analysis unit, a chart editing unit and a pre-compensation correction unit;
the specific working process is as follows:
the medical text correction unit is used for registering and inputting a medical document parameter table by a front-end user; the medical document parameter table comprises a medical supply serial number, a medical supply name, medical supply consumption, medical supply application quantity, registrant signature, registration date and the like; counting the consumption of medical supplies such as medical surgical instruments, medicines and the like in the medical process of one day through a medical document parameter table; each medical supply serial number corresponds to a medical supply name, and each medical supply name corresponds to a medical supply consumption; the registered person signature and the registration date are both arranged at the lower right corner of the medical document parameter table;
then acquiring the medical supply consumption and the medical supply application amount under the same medical supply serial number and medical supply name in the medical document parameter table, comparing the medical supply consumption and the medical supply application amount, and highlighting the medical supply consumption and the medical supply application amount when the medical supply consumption is less than the medical supply application amount; when the medical supply consumption is equal to the medical supply application amount, displaying the medical supply consumption and the medical supply application amount in a low brightness mode, repeating the process, and displaying all contents in the medical document parameter table in a brightness mode; it should be noted that the amount of medical supplies applied is obviously greater than or equal to the consumption of medical supplies, and nurses obviously apply more medical supplies in the process of applying medical supplies to prevent insufficiency;
then obtaining the quantity of brightness display in the medical document parameter table and comparing the quantity with 0, and when the quantity of brightness display is equal to 0, generating a medical passing document;
when the quantity of the brightness display is more than 0, generating a hospital detection document and a correction determination text;
when the hospital detection document and the correction determination text are generated and then sent to the front-end user, the front-end user determines or corrects the quantity content of the highlighted hospital detection document medical texts, and the front-end user generates a medical passing document after determining or correcting; wherein the correction determination text is "please determine the consumption of the medical supplies under the same medical supply name, and whether the application amount of the medical supplies needs to be corrected";
and sending the medical treatment passing document to a data storage unit for storage;
the data storage unit receives the medical passing texts and constructs and generates a historical medical document by combining time line storage;
the storage of the historical medical documents is convenient for the logistics personnel to observe the use condition of the medical supplies on each day;
department analysis unit: calling all historical medical documents through a data storage unit, obtaining medical supply consumption and medical supply application quantity in the historical medical documents, and calculating and analyzing to obtain dynamic medical supply average consumption, dynamic medical supply standard deviation consumption, dynamic medical supply average application quantity and dynamic medical supply standard deviation application quantity;
and the generated average consumption of the dynamic medical supplies, the consumption of the standard deviation of the dynamic medical supplies, the average application amount of the dynamic medical supplies and the dynamic medical supplies are markedCalibrating the tolerance application quantity into XPM, XBM, SPM and SBM according to a formula
Obtaining a dynamic medical supply supplement judgment reference YAm;
the relation between the consumption of the medical supplies in a department and the application amount of the medical supplies is measured through a dynamic medical supply supplement judgment standard, so that whether the application amount of the medical supplies in the department needs to be properly reduced or not is judged;
for example, 20 disposable surgical instruments are needed for a certain disease operation in a certain department, but only 12 disposable surgical instruments are consumed in practice, and a situation of multiple applications obviously occurs, at this time, if 10 applications are needed for the same disease in other departments, but the inventory is not available or lacked, when the patients are dispatched from other hospitals or suppliers, the treatment time is delayed due to overlong interval time, and if the disposable surgical instruments in other departments in operation are dispatched, the operation of a doctor is interrupted, and the operation effect of the doctor is influenced, so that the best method is to completely meet the disease operation of the doctor to a certain extent, and the disposable surgical instruments still need to be remained for a preset amount, so that redundancy is formed;
then, the supplement judgment reference YAm of the medical article is compared with a preset value Yam:
when the supplement judgment reference YAm of the medical supplies is smaller than the preset value Yam, the medical supplies in the department are consumed in a normal surplus state, and when the supplement judgment reference YAm of the medical supplies is larger than or equal to the preset value Yam, the medical supplies in the department are consumed in an abnormal surplus state, namely the application amount is far larger than the consumption amount of the department;
then obtaining a real-time surplus residue ratio FAm according to a formula FAm = (YAm-Yam)/Yam, and judging the surplus deviation of the medical supplies of the department according to the real-time surplus residue ratio FAm;
the surplus residue proportions FAm, e1m, e2m and the preset value Yam are all variables, m is a positive integer, m is the total number of the medical supplies, and e1m and e2m are weight deviation coefficients which enable the result of the simulation calculation to be closer to the true value;
averagely quantizing all real-time surplus residue ratios FAm to generate a real-time surplus residue mean value FA0, and judging the deviation of the medical supplies of the department according to the real-time surplus residue mean value;
sending the real-time surplus residue average FA0 and all real-time surplus residue proportions FAm to an icon editing unit;
after the icon editing unit receives the real-time surplus residue mean value FA0 and all real-time surplus residue proportions FAm, the historical medical documents are called through the data storage unit to build a real-time surplus deviation table, and the real-time surplus deviation table is sent to the data storage unit to be stored and displayed on the display screen;
the real-time surplus residue mean value FA0 and all real-time surplus residue proportions FAm of a corresponding department are watched through the real-time surplus deviation table, and logistics personnel are assisted to judge the overall use condition of medical supplies of an evaluation department and judge the single use condition of the medical supplies of the evaluation department through the real-time surplus residue mean value FA0 and all real-time surplus residue proportions FAm, so that the increment of the corresponding single medical supplies in a next periodic department is judged in advance according to the real-time surplus residue mean value FA0 and all real-time surplus residue proportions FAm;
the pre-compensation correction unit is used for acquiring all real-time surplus deviation tables in a department, extracting all real-time surplus residual mean values FA0 and real-time surplus residual proportions FAm in the department, constructing a surplus residual mean value line graph and a surplus residual proportion line graph according to time line arrangement, acquiring a surplus residual mean value line graph and a surplus residual proportion line graph of a latest preset time period, calculating fluctuation amplitude of the surplus residual mean value line graph, frequency amplitude of the surplus residual mean value line graph, fluctuation amplitude of the surplus residual proportions and fluctuation frequency of the surplus residual proportions, respectively marking the fluctuation amplitudes as FF0, FP0, FFm and FPm, and taking FFm and FPm as variables;
the replenishment stability factor of the whole medical department is WA0: WA0= kt0 FFm + kt1 FPm;
the replenishment stability factor of the individual medical supplies is WAm: WAm = k1m FFm + k2m FPm;
kt0 and kt1 are correction parameters of a replenishment stability coefficient of the whole medical department, k1m and k2m are correction parameters of the replenishment stability coefficient of a single medical article, and k1m and k2m are variables, so that the simulation calculation result is closer to a real value by the correction parameters;
judging the replenishment stability of a single or whole medical article according to the replenishment stability coefficient of the medical article, judging whether the replenishment quantity of a next-side logistics worker needs to be automatically or manually adjusted when the next-side logistics worker replenishes the department according to the replenishment stability, and ensuring abundant use of the medical article of the department;
comparing the replenishment stability coefficient WA0 of the whole medical department with a replenishment preset value Wa0, and generating a low-brightness display signal when the replenishment stability coefficient WA0 of the whole medical department is not more than the replenishment preset value Wa 0;
when the replenishment stability coefficient WA0 of the whole medical department is larger than the replenishment preset value Wa0, generating a highlight display signal;
the replenishment stability factor of each single medical product is obtained as WAm, the replenishment stability factor is compared with a corresponding single replenishment preset value WAm, and when the replenishment stability factor of each single medical product is WAm smaller than the single replenishment preset value WAm, a single low-brightness display signal for carrying out low-brightness display marking on the single medical product is generated; when the replenishment stability factor of a single medical article is that WAm is larger than or equal to a single replenishment preset value WAm, generating a single high-brightness display signal for highlighting and marking the single medical article; the whole replenishment preset value Wa0 is smaller than the single replenishment preset value WAm, and the whole replenishment preset value Wa0 is smaller than the single replenishment preset value WAm and is larger than 0;
after the single high-brightness display signal is generated, highlighting the replenishment stability factor of the corresponding single medical supply as WAm; highlighting shows that the replenishment stability coefficient of the single medical supply is larger, and the quantity of the pre-replenished medical supplies of the medical supplies corresponding to the next periodic department needs to be automatically adjusted or manually adjusted;
after the single low-brightness display signal is generated, the replenishment stability coefficient of the corresponding single medical article is WAm to be displayed in low brightness; the low-brightness display shows that the replenishment stability coefficient of the single medical supply is smaller, and the quantity of the pre-replenished medical supplies of the medical supplies corresponding to the department in the next period is maintained;
when the whole low-brightness display signal is generated, the replenishment stability coefficient of all the single medical supplies is WAm to be displayed in low brightness; indicating the amount of pre-replenished medical supplies to hold the entire medical supplies in the next cyclic department room;
sending the replenishment stability coefficient WAm of the whole medical department and the replenishment stability coefficient WAm of the single medical product displayed in a low-brightness mode or a high-brightness mode to a chart editing unit;
after the chart editing unit receives a low-brightness display or high-brightness display supplement stability coefficient WAm of a single medical product and a supplement stability coefficient WA0 of the whole medical department, a real-time surplus deviation table at the same time is called through the data storage unit and combined with the supplement stability coefficient to construct and generate a supplement constant coefficient table;
the replenishment constant coefficient table is sent to a data storage unit for storage and displayed on a display screen for being watched by logistics personnel; the medical supplies after repeated replenishment are analyzed, so that automatic correction or manual correction of the next replenishment is realized;
according to the technical scheme, the medical treatment passing document is generated on the basis of determining the accuracy of the input quantity by performing correction analysis in the process of registering and inputting the medical treatment document parameter table by a front-end user, then the medical treatment passing document is stored according to time lines to generate a historical medical treatment document, then the historical medical treatment document is divided according to periods to obtain the internal parameters of the historical medical treatment document and is calibrated, evaluated and analyzed, the medical treatment document is accurately analyzed by utilizing a formulaic processing and normalized analysis and data integration construction output mode, a real-time surplus residue proportion is output according to the analysis, surplus deviation in the use process of medical supplies of departments is judged, a relevant real-time surplus deviation table is constructed, surplus deviation of the use condition of the medical supplies of the departments is induced, and a foundation is laid for efficient and scientific management of the increment of a corresponding single medical supply in the subsequent pre-judgment next period department;
and the data information of the real-time surplus deviation table is accurately analyzed by utilizing a formulaic processing, normalized analysis and data integration construction output mode, so that a replenishment stability coefficient WA0 of the whole medical department and a replenishment stability coefficient WAm of a single medical department are output, and a replenishment constant coefficient table for generating brightness display is constructed, so that the overall stability judgment of the whole replenishment medical supplies in the previous period and the deep judgment of the single replenishment medical supplies are realized, the accurate and efficient replenishment of the medical supplies by the logistics personnel is improved, the surplus of the medical supplies is adapted, the inventory pressure is reduced, and the medical supply management of the whole hospital is improved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered as the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (1)
1. A hospital papery archive online management system based on big data is characterized by comprising a medical text correction unit, a data storage unit, a department analysis unit, a chart editing unit and a chart editing unit;
the medical document correction unit is used for acquiring a medical document parameter table, wherein the medical document parameter table comprises medical supply serial numbers, medical supply names, medical supply consumption, medical supply application amount, registrant signatures and registration dates, the medical supply consumption and the medical supply application amount are corrected to generate a medical passing document, and the generated medical passing document is sent to the data storage unit for storage;
the data storage unit is used for receiving and storing data to generate a historical medical document;
the department analysis unit is used for calling all historical medical documents through the data storage unit, then carrying out quantitative normalization model processing on all the historical medical documents to generate a real-time surplus residual mean value and a real-time surplus residual proportion, and sending the real-time surplus residual mean value and the real-time surplus residual proportion to the chart editing unit;
the chart editing unit is used for receiving the real-time surplus residue average value and the real-time surplus residue proportion, calling the historical medical document through the data storage unit to construct a real-time surplus deviation table, and sending the real-time surplus deviation table to the data storage unit for storage and displaying at the display screen;
the pre-supplement correction unit is used for calling a real-time surplus deviation table through the data storage unit, carrying out fluctuation normalization model processing to generate a supplement stability coefficient of the whole medical department and a supplement stability coefficient of a single medical article displayed by brightness difference, and sending the supplement stability coefficients to the chart editing unit;
the chart editing unit is also used for receiving the replenishment stability coefficient of the whole medical department and the replenishment stability coefficient of a single medical supply displayed by the brightness difference, combining the replenishment stability coefficient with the real-time surplus deviation table to construct a replenishment constant coefficient table, and sending the replenishment constant coefficient table to the data storage unit for storage and displaying on the display screen;
the specific working steps of the medical text correction unit are as follows:
acquiring the medical supply consumption and the medical supply application amount under the same medical supply serial number and medical supply name in a medical document parameter table, comparing the medical supply consumption and the medical supply application amount, and highlighting the medical supply consumption and the medical supply application amount when the medical supply consumption is less than the medical supply application amount; when the medical supply consumption is equal to the medical supply application amount, displaying the medical supply consumption and the medical supply application amount in a low brightness mode, repeating the process, and displaying all contents in the medical document parameter table in a brightness mode;
then, the quantity of brightness display in the medical document parameter table is obtained and compared with 0, and when the quantity of brightness display is equal to 0, a medical passing document is generated;
when the brightness display quantity is larger than 0, generating a hospital detection document and a correction determination text and sending the hospital detection document and the correction determination text to a front-end user, determining or correcting the quantity content of the highlighted hospital detection document medical texts by the front-end user, and generating a medical passing document after the front-end user determines or corrects the quantity content;
the correction determination text is "please determine the consumption of the medical supplies under the same medical supply name, and whether the application amount of the medical supplies needs to be modified";
the working steps of the quantitative normalization model processing are as follows:
obtaining medical supply consumption and medical supply application amount in historical medical documents, and calculating and analyzing to obtain the average consumption of dynamic medical supplies, the standard deviation consumption of dynamic medical supplies, the average application amount of dynamic medical supplies and the standard deviation application amount of dynamic medical supplies;
and the generated average consumption of the dynamic medical supplies, the consumption of standard deviation of the dynamic medical supplies, the average application amount of the dynamic medical supplies and the application amount of the standard deviation of the dynamic medical supplies are marked as XPM, XBM, SPM and SBM through formulas
Calculating to obtain a dynamic medical supply supplement judgment reference YAm; then comparing the supplement judgment reference YAm of the medical supplies with the preset value Yam to judge the surplus degree of the medical supplies:
then obtaining a real-time surplus residual ratio FAm according to a formula FAm = (YAm-Yam)/Yam, and averagely quantizing all the real-time surplus residual ratios FAm through the real-time surplus residual ratio FAm to generate a real-time surplus residual average value FA0;
the working steps of the fluctuation normalization model processing are as follows:
extracting all real-time surplus residue mean values FA0 and real-time surplus residue proportions FAm of a real-time surplus deviation table, constructing a surplus residue mean value line graph and a surplus residue proportion line graph according to time line arrangement, then obtaining the surplus residue mean value line graph and the surplus residue proportion line graph of the latest preset time period, and calculating to obtain the fluctuation amplitude of the surplus residue mean value line graph, the frequency amplitude of the surplus residue mean value line graph, the fluctuation amplitude of the surplus residue proportions and the fluctuation frequency of the surplus residue proportions, respectively marking the fluctuation amplitudes as FF0, FP0, FFm and FPm, and then marking the FFm and the FPm as variables;
the replenishment stability factor of the whole medical department is WA0: WA0= kt0 FFm + kt1 FPm;
the replenishment stability factor of the individual medical supplies is WAm: WAm = k1m FFm + k2m FPm;
kt0 and kt1 are correction parameters of a replenishment stability coefficient of the whole medical department, k1m and k2m are correction parameters of the replenishment stability coefficient of a single medical article, and k1m and k2m are variables;
comparing the replenishment stability coefficient WA0 of the whole medical department with a replenishment preset value Wa0, and generating a low-brightness display signal when the replenishment stability coefficient WA0 of the whole medical department is not more than the replenishment preset value Wa 0;
when the replenishment stability coefficient WA0 of the whole medical department is larger than a replenishment preset value Wa0, a whole highlight display signal is generated;
the replenishment stability factor of each single medical product is obtained as WAm, the replenishment stability factor is compared with a corresponding single replenishment preset value WAm, and when the replenishment stability factor of each single medical product is WAm smaller than the single replenishment preset value WAm, a single low-brightness display signal for carrying out low-brightness display marking on the single medical product is generated; when the replenishment stability coefficient of a single medical supply is WAm which is not less than the preset value WAm of the single replenishment, generating a single high-brightness display signal for highlighting and marking the single medical supply;
after the single high-brightness display signal is generated, highlighting the replenishment stability factor of the corresponding single medical supply as WAm;
after the single low-brightness display signal is generated, the replenishment stability factor of the corresponding single medical article is WAm, and low-brightness display is carried out;
when the whole low-brightness display signal is generated, the replenishment stability coefficient of all the single medical supplies is WAm to be displayed in low brightness;
wherein FAm, e1m, e2m and Yam are all variables, m is a positive integer, m is the total number of the medical supplies, and e1m and e2m are weight deviation coefficients.
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