CN112256750B - Data error correction early warning method, system and storage medium - Google Patents
Data error correction early warning method, system and storage medium Download PDFInfo
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
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- G06F16/28—Databases characterised by their database models, e.g. relational or object models
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Abstract
The application relates to a data error correction early warning method, a data error correction early warning system and a storage medium, which belong to the technical field of auxiliary reproduction medical information, wherein the method comprises the following steps: acquiring a first query request of a current user for a patient record in a database, acquiring the patient record in a corresponding time range according to the first query request, judging and processing each data item in the acquired patient record according to a preset judgment rule to form an error early warning list, feeding back the current error early warning list to the current user so that the current user can check specific data, and clicking the corresponding error data item by the current user to form a second query request; and if a second query request of the current user is received, acquiring all the pathology tables corresponding to the clicked error data items according to the second query request. The method and the device have the effects of intelligently identifying the errors in the medical record and feeding back the errors to the user for modification.
Description
Technical Field
The present application relates to the field of assisted reproduction medical information technology, and in particular, to a data error correction early warning method, system and storage medium.
Background
The assisted reproductive medical technology refers to a technology for making sterile couples pregnant by adopting medical auxiliary means, including artificial insemination, in vitro fertilization embryo transfer and derivative technologies thereof, and has become a conventional mature medical method at home and abroad and is accepted by patients.
At present, various information of a patient in assisted reproduction is recorded in a database of a server in a mode of manually filling in a patient record or externally importing the patient record, a doctor calls the patient record information stored in the database, and a treatment method of the patient is determined by reading various indexes.
The above prior art solutions have the following drawbacks: after the data is stored, the data is difficult to verify, and the data is difficult to find after errors occur, so that the misdiagnosis probability of doctors is improved.
Disclosure of Invention
In order to improve the accuracy of the stored medical record and reduce misdiagnosis, the application provides a data error correction early warning method, a data error correction early warning system and a storage medium.
In a first aspect, the present application provides a data error correction early warning method, which adopts the following technical scheme:
a data error correction early warning method is characterized by comprising the following steps:
acquiring a first query request of a current user for a patient record in a database, wherein the first query request carries time range information selected by the current user;
acquiring a medical record in a corresponding time range according to the first query request;
judging and processing each data item in the acquired medical record table according to a preset judgment rule to form an error early warning table, wherein the error early warning table comprises the name and number information of the error data item;
feeding back a current error early warning table to the current user so that the current user can check specific data, and clicking a corresponding error data item by the current user to form a second query request;
if a second query request of the current user is received, acquiring all the pathology tables corresponding to the clicked error data item according to the second query request;
and feeding back the patient history table corresponding to the second query request to the current user so that the current user can check and modify the data of the patient history table, and updating the data in the corresponding patient history table in the database after the current user confirms that the data modification is completed.
By adopting the technical scheme, the user can inquire and obtain the corresponding error early warning table when selecting the date range at the terminal, and the user can check and modify the medical record table containing the error data item in the system according to the error early warning table.
Optionally, the patient history table has several categories; the method for judging and processing each data item in the acquired medical record according to the preset judgment rule to form an error early warning list specifically comprises the following steps:
judging each data item in the acquired medical record according to a preset judgment rule to form an error early warning list with a plurality of medical record categories;
when the current user checks specific data according to the error early warning table, the following actions can be selected:
selecting a certain category of the patient history table to display an error early warning table corresponding to the current category of the patient history table;
or selecting two or more types of the patient history table so as to display all the error early warning tables corresponding to the selected types of the patient history table on the same screen.
By adopting the technical scheme, the server classifies the different types of the patient history tables to form different types of the error early warning tables, so that the user can classify and query the error early warning tables, the query process is more convenient and accurate, and the efficiency of processing the error early warning tables by the user is improved.
Optionally, the determining and processing of each data item in the acquired medical record table according to a preset determining rule to form an error early warning table specifically includes:
judging the type of each data item in the medical record, wherein the type comprises a description type and a judgment type;
if the data items in the pathology list are judged to comprise the description types, counting the total number of all the pathology lists which comprise the description type data items and the description type data items are null values, carrying out association marking on the counted pathology lists with the description type data items being null values corresponding to the corresponding description type data items, judging the description type data items with the null values as error data items, and correspondingly recording the name of each error data item and the total number of the corresponding pathology lists to form a type of data to be processed;
if the data items in the medical record list comprise statistics types, counting the total number of all medical record lists which comprise the statistics data items and are not null values, and correspondingly recording the name of each statistical data item which is not null value and the corresponding total number of the medical record lists to form two types of data to be processed;
grouping all statistical data items in the second type of data to be processed according to a preset grouping rule, wherein each grouped statistical data item corresponds to a mathematical rule; judging whether the total number corresponding to all the statistic data items in each group meets the mathematical rule corresponding to the group; if not, judging all the statistical data items in the group as error data items, carrying out association marking on a medical record containing the currently judged error data items, and correspondingly recording the name of the currently judged error data item and the total number of the medical record corresponding to the error data item to form three types of data to be processed;
and generating an error early warning table according to the first class of data to be processed, the second class of data to be processed and the third class of data to be processed.
By adopting the technical scheme, the user can obtain all the illness state charts with the missing filling data items and all the illness state charts with the possible filling error data items by checking the error early warning tables, and then can obtain all the error illness state charts by manually screening the illness state charts.
Optionally, after generating the error warning table according to the first type of data to be processed, the second type of data to be processed, and the third type of data to be processed, the method further includes:
and carrying out error marking on the error data items in the error early warning table.
By adopting the technical scheme, the error data items of the error early warning list are clearer and more visual, and the condition that a user overlooks is reduced.
Optionally, the associating and marking the history table containing the currently determined error data item, and correspondingly recording the name of the currently determined error data item and the total number of the history table corresponding to the error data item to form three types of data to be processed specifically includes:
and judging the medical record tables containing the currently judged error data items one by one according to the service rules to obtain actual error medical record tables, carrying out association marking on the judged error data items and the actual error medical record tables, and correspondingly recording the names of the currently judged error data items and the total number of the actual error medical record tables corresponding to the error data items to form three types of data to be processed.
By adopting the technical scheme, the server can judge all the actually wrong medical record tables and associate the medical record tables with the wrong data items, and a user can directly obtain all the actually wrong medical record tables through the data error correction table without manual screening, so that the working efficiency and the working accuracy are improved.
In a second aspect, the present application provides a server, which adopts the following technical solutions:
a server, comprising:
a receiving module, configured to receive a first query request carrying time range information sent by the current user, a second query request formed by the current user clicking a corresponding error data item, and data information sent by the current user after confirming that data modification is completed;
the storage module is used for storing the medical record table, the judgment rule and the error early warning table;
a processing module for performing the following processes:
after receiving a first query request sent by the current user, pulling a medical record in a corresponding time range stored in a storage module according to the first query request, and processing the pulled medical record by using a judgment rule to form an error early warning list;
after receiving a second query request, acquiring all the illness state charts corresponding to the clicked error data items according to the second query request;
the sending module is used for sending the generated error early warning table to the current user so that the current user can check specific data, and the current user can click a corresponding error data item to form a second query request; and data for sending all the patient charts corresponding to the clicked error data items to the current user for the current user to view and modify the patient charts;
the processing module is further configured to:
and after the current user confirms that the data modification is finished, updating the data in the corresponding medical record in the database.
By adopting the technical scheme, the server receives the information sent by the current user through the receiving module, processes the storage content in the storage module by using the processing module according to the information, and sends the processing result to the current user through the sending module.
In a third aspect, the present application provides a user terminal, which adopts the following technical solution:
a user terminal comprising a memory and a processor, the memory having stored therein a set of instructions for invocation by the processor to implement the following functions:
generating a first query request carrying time range information;
sending the first query request to a server so that the server can obtain a corresponding medical record according to the first query request;
after an error early warning table formed by judging and processing each data item in the acquired medical record table by a server according to a preset judgment rule is received, visually displaying the error early warning table to allow the current user to check specific data and allow the current user to click a corresponding error data item;
forming a second query request according to the error data item clicked by the current user;
sending the second query request to a server so that the server can obtain a corresponding medical record according to the second query request;
after a patient history table which is sent by a server and corresponds to the second query request is received, the patient history table is visually displayed so that the current user can view and modify data items in the patient history table
And sending the patient history table modified by the current user to a server so that the server can update the data in the corresponding patient history table in the database.
By adopting the technical scheme, the user can establish contact with the server through the user terminal and inquire various contents processed by the server.
In a fourth aspect, the present application provides a data error correction early warning system, which adopts the following technical scheme:
a data error correction early warning system comprises the server and a plurality of user terminals according to the technical scheme.
By adopting the technical scheme, the user establishes connection with the server at the user terminal, the server executes various operations and processes according to the request sent by the user at the user terminal, and feeds back the processing result to the user terminal for the user to inquire, thereby realizing early warning and modification of error data.
In a fifth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program that can be loaded by a processor and that can perform any of the methods of the preceding claims.
By adopting the technical scheme, after the computer readable storage medium is loaded into any computer, the computer can execute the data error correction early warning method provided by the application.
In summary, the present application includes at least one of the following beneficial technical effects:
1. a data error correction early warning method can judge the medical record with error risk and feed back the medical record to the user for the user to inquire and modify, so as to improve the accuracy of the stored medical record and reduce the occurrence of misdiagnosis;
2. the user can check the error early warning list according to the category, so that the query process is more convenient and accurate;
3. the error data items of the error early warning list are wrongly labeled, so that the user can look up the error early warning list more clearly and intuitively, and the condition that the user overlooks is reduced;
4. a data error correction early warning method can further judge all actual error history tables, and improves the working efficiency and accuracy.
Drawings
Fig. 1 is a schematic flowchart of a data error correction early warning method according to an embodiment of the present application.
Fig. 2 is a schematic flowchart of a process of determining and processing a data item in a data error correction early warning method according to an embodiment of the present application.
Fig. 3 is a block diagram of a server according to an embodiment of the present application.
Fig. 4 is a block diagram of a user terminal according to an embodiment of the present application.
Fig. 5 is a block diagram of a data error correction early warning system according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-5.
The embodiment of the application discloses a data error correction early warning method. Referring to fig. 1, a data error correction early warning method includes:
step 100: and acquiring a first query request of a current user for a patient history table in a database.
The acquired first query request is generated by a user terminal and carries time range information selected by a current user; the time range information is generated after the current user selects calendar information or manually inputs time on the user terminal.
Step 200: and acquiring the patient history table in the corresponding time range according to the first query request.
Specifically, after the time range information in the first query request is identified, the patient history table stored in the server in the corresponding time period is acquired according to the time range information, wherein the patient history table has a plurality of categories, and the patient history table of each category fixedly includes a plurality of data items.
Step 300: and judging and processing each data item in the acquired medical record according to a preset judgment rule, and forming an error early warning list.
The error early warning tables correspond to a plurality of types of the illness state tables, namely, the type of each illness state table corresponds to one error early warning table, the error early warning table of each type comprises the name and the quantity information of the error data item corresponding to the type of the illness state table, and during processing, the error early warning tables of different types are processed respectively.
The judgment rule specifically includes: grouping rules for grouping the statistical-type data items; the intrinsic logic for judging the description type data item, namely, the value of the description type data item cannot be null value 0, if 0, an error occurs; a mathematical rule for judging the statistical data items; and the business rule is used for judging the illness state tables which are judged to contain error data items through the mathematical rule one by one.
Based on the determination rule, with reference to fig. 2, step 300 specifically includes:
step 310: and judging the type of each data item in the medical record.
In the embodiment of the present application, there are 2 cases for the value of the description class data item: storing natural sentences or null values; there are 2 cases for judging the value of the class data item: a true value of 1 is stored or a null value of 0 is stored.
Step 320: and judging whether the data items in the patient history table include the description class, and if so, processing the patient history table according to the description class data items. The treatment method comprises the following steps:
counting the total number of all the pathology tables which contain the description type data items and the description type data items are null 0, carrying out association marking on the corresponding description type data items corresponding to the pathology tables which are counted and the description type data items are null 0, judging the description type data items with the null 0 as error data items, and correspondingly recording the name of each error data item and the total number of the corresponding pathology tables to form a type of data to be processed. It should be noted that the history tables in a type of data to be processed are all configured as actual error history tables, and the error is to miss-fill one or more description type data items.
Step 330: and judging whether the data items in the patient history table include statistics, and if so, processing all the patient history tables according to the statistics data items.
The specific treatment steps are as follows:
step 331: the total number of the statistical type data items storing the true value 1 is counted.
Specifically, the total number of all the medical record tables including the statistical data items with the value of the statistical data item being the true value 1 is counted, and the name of each statistical data item with the value being the true value 1 and the corresponding total number of the medical record tables are correspondingly recorded to form two types of data to be processed.
Step 332: and grouping the statistical data items in the two types of data to be processed.
Specifically, all the statistical data items in the second class of data to be processed are grouped according to a preset grouping rule, and each group of statistical data items corresponds to one mathematical rule. For example, if there are three statistics-like data items in a group and the total statistics of the three statistics-like data items is a, B and C, the mathematical rule corresponding to the group may be: a = B + C, or a = B = C, etc.; if there are two statistics-like data items in a group and the total statistics of the two statistics-like data items are C and D, respectively, the mathematical rule corresponding to the group may be: c = D, C ≠ D, etc.
Judging whether the total number corresponding to all the statistic data items in each group meets the mathematical rule corresponding to the group; if not, judging all the statistical data items in the group as error data items, and carrying out association marking on all the illness state tables corresponding to the names of the currently judged error data items.
And judging the medical record tables containing the currently judged error data items one by one according to a service rule to obtain the actual error medical record tables, wherein the service rule comprises the correlation and the service logic among the data items in the medical record tables.
For example, if the patient history table includes the statistical data items X, Y, and Z, and the statistical data items X, Y, and Z are related data items, the business logic should be satisfied between 3, and the business logic may be: if X has a value of 1, then one and only one of Y and Z has a value of 1; or, if the value of X is 1, the values of X and Z must be 1; or, if the value of X is 1, the values of X and Z must be 0; and so on. When the judgment is carried out, the value of a certain statistical data item which is judged to be in error previously in the medical record table is identified, for example, the value is the value of the data item X1, and then whether the values of all related data items corresponding to the data item X1 in the current medical record table meet the corresponding service logic is identified; according to the mode, other statistical data items which are judged to be in error previously in the chart are judged one by one; if the statistical data item which does not meet the service logic and is judged to be in error previously exists in the patient history table, marking the patient history table as an actual error patient history table corresponding to the corresponding statistical data item; and if all the statistical data items marked as errors in the certain disease history table meet the business rules, judging the disease history table to be correct. And performing association marking on the judged error data item and the actual error history table, and simultaneously performing corresponding recording on the name of the currently judged error data item and the total number of the actual error history table corresponding to the error data item to form three types of data to be processed.
Step 340: and generating an error early warning table.
And generating an error early warning table according to the first class of data to be processed, the second class of data to be processed and the third class of data to be processed. The data items in the error warning table may be displayed in the form of cells, or in the form of bar charts, etc.
The error early warning list can be viewed by the current user to obtain the following information:
the name and the total number of error data items with missing errors obtained from a type of data to be processed and a history table which is linked with the error data items and contains the error data items with missing errors; the name and the total number of correct data items are obtained from the second type of data to be processed and the third type of data to be processed; the name and the total number of error data items obtained from the three types of data to be processed and an actual error history table containing the error data items linked with the error data items.
Step 350: and carrying out error marking on error data items in the error early warning table.
The error label may be to display the name of the error data item in bold, or to set the background color of the error data item to be a conspicuous color such as red or yellow.
Step 400: and feeding back the current error early warning list to the current user.
Specifically, after the current error early warning table is fed back to the user, the error early warning table for the current user to check specific data is displayed on the user terminal, and the user can click the corresponding error data item to form a second query request; the generated second query request is sent to the server.
Step 500: and if a second query request of the current user is received, acquiring an actual error pathology table corresponding to the clicked error data item according to the second query request.
Wherein the acquired patient history table should be the actual error patient history table containing the error data item linked to the clicked error data item.
Step 600: and feeding back the actual error case corresponding to the second query request to the current user for viewing and modifying the data in the actual error case, and updating the data in the corresponding actual error case in the database after the current user confirms that the modification is completed.
The updating of the data in the corresponding actual error history table in the database can be realized in the following way: and modifying error data items in the actual error history table in the storage, or covering the original actual error history table in the storage by using the modified actual error history table.
Based on the foregoing method, an embodiment of the present application further discloses a server, and with reference to fig. 3, the server includes:
a receiving module 10, configured to receive a first query request that carries time range information and is sent by a current user, a second query request that is formed when the current user clicks a corresponding error data item, and data information that is sent after the current user confirms that data modification is completed;
the storage module 20 is used for storing a medical record table, a judgment rule and an error early warning table;
in the embodiment of the present application, the storage module 20 stores all the patient histories according to categories and dates of the patient histories. The stored judgment rules comprise grouping rules for grouping the statistical data items; the internal logic used for judging the description type data item, namely the value of the description type data item can not be null value 0, if null value 0, then there is an error; a mathematical rule for judging the statistical data items; and the business rule is used for judging the illness state tables which are judged to contain error data items through the mathematical rule one by one. The storage module 20 stores error warning tables of different categories by date.
A processing module 30, configured to perform the following processing:
after a first query request sent by a current user is received, pulling a medical record table stored in a storage module within a corresponding time range according to the first query request, and processing the pulled medical record table by using a judgment rule to form an error early warning table;
after receiving the second query request, acquiring all the illness state charts corresponding to the clicked error data items according to the second query request;
the sending module 40 is configured to send the generated error early warning table to the current user, so that the current user can view specific data, and click a corresponding error data item to form a second query request; the system is used for sending all actual error calendar tables corresponding to the clicked error data items to the current user so that the current user can check and modify data in the actual error calendar tables;
wherein, the processing module 30 is further configured to perform the following processing:
and after the current user confirms that the data modification is finished, updating the data in the corresponding actual error case history table in the database.
Based on the above method, the present application further discloses a user terminal, and referring to fig. 4, the user terminal includes a memory 50 and a processor 60,
stored within the memory 50 are sets of instructions that are called by the processor 60 to implement the following functions:
generating a first query request carrying time range information;
sending the first query request to a server so that the server can obtain a corresponding medical record according to the first query request;
after an error early warning table formed by judging and processing each data item in the acquired medical record table by the server according to a preset judgment rule is received, visually displaying the error early warning table for a current user to check specific data;
generating a second query request according to the error data item clicked by the current user;
sending the second query request to the server so that the server can obtain the actual error history table linked with the error data item according to the second query request;
after receiving an actual error history table which is sent by the server and corresponds to the second query request, visually displaying the actual error history table so that a current user can check and modify error data items in the actual error history table;
and sending the actual error case history table modified by the current user to the server so that the server can update the data in the corresponding actual error case history table in the database.
The user terminal includes, for example: electronic equipment such as computers, tablet computers, smart phones and the like.
The embodiment of the application further discloses a data error correction early warning system, and referring to fig. 5, the data error correction early warning system comprises the server and the user terminals.
The embodiment of the present application further discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute the data error correction early warning method, where the computer-readable storage medium includes, for example: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
The above examples are only used to illustrate the technical solutions of the present application, and do not limit the scope of protection of the application. It is to be understood that the embodiments described are only some of the embodiments of the present application and not all of them. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, are within the scope of the present application.
Claims (8)
1. A data error correction early warning method is characterized by comprising the following steps:
acquiring a first query request of a current user for a patient record in a database, wherein the first query request carries time range information selected by the current user;
acquiring a medical record in a corresponding time range according to the first query request;
judging each data item in the acquired medical record according to a preset judgment rule to form an error early warning list, wherein the error early warning list comprises the name and the number information of the error data item;
feeding back a current error early warning table to the current user so that the current user can check specific data, and clicking a corresponding error data item by the current user to form a second query request;
if a second query request of the current user is received, acquiring all the illness state charts corresponding to the clicked error data item according to the second query request;
feeding back a patient history table corresponding to the second query request to the current user so that the current user can check and modify the data of the patient history table, and updating the data in the corresponding patient history table in the database after the current user confirms that the data modification is completed;
wherein, according to the predetermined judgement rule, each data item in the acquired medical record chart is judged and processed to form an error early warning list, which specifically comprises:
judging the type of each data item in the medical record, wherein the type comprises a description type and a judgment type;
if the data items in the pathology list are judged to comprise the description types, counting the total number of all the pathology lists which comprise the description type data items and the description type data items are null values, carrying out association marking on the counted pathology lists with the description type data items being null values corresponding to the corresponding description type data items, judging the description type data items with the null values as error data items, and correspondingly recording the name of each error data item and the total number of the corresponding pathology lists to form a type of data to be processed;
if the data items in the medical record list comprise statistics types, counting the total number of all medical record lists which comprise the statistics data items and are not null values, and correspondingly recording the name of each statistical data item which is not null value and the corresponding total number of the medical record lists to form two types of data to be processed;
grouping all statistic data items in the second class of data to be processed according to a preset grouping rule, wherein each grouping statistic data item corresponds to a mathematical rule; judging whether the total number corresponding to all the statistic data items in each group meets the mathematical rule corresponding to the group; if not, judging all the statistical data items in the group as error data items, carrying out association marking on a medical record containing the currently judged error data items, and correspondingly recording the name of the currently judged error data item and the total number of the medical record corresponding to the error data item to form three types of data to be processed;
and generating an error early warning table according to the first class of data to be processed, the second class of data to be processed and the third class of data to be processed.
2. The data error correction early warning method according to claim 1, wherein:
the patient history table has a plurality of categories;
the method for processing the data items in the acquired medical record chart according to the preset judgment rule to form the error early warning chart specifically comprises the following steps:
judging each data item in the acquired medical record according to a preset judgment rule to form an error early warning list with a plurality of medical record categories;
when the current user checks specific data according to the error early warning table, the following actions can be selected:
selecting a certain disease record type to display an error early warning list corresponding to the current disease record type;
or selecting two or more types of the patient history table so as to display all the error early warning tables corresponding to the selected types of the patient history table on the same screen.
3. The data error correction early warning method according to claim 1, after generating the error early warning table according to the first class of data to be processed, the second class of data to be processed, and the third class of data to be processed, further comprising:
and carrying out error marking on error data items in the error early warning table.
4. The data error correction early warning method according to claim 1, wherein the associating and marking a history table containing the currently determined error data item, and meanwhile, correspondingly recording the name of the currently determined error data item and the total number of the history table corresponding to the error data item to form three types of data to be processed specifically comprises:
and judging the patient history tables containing the currently judged error data items one by one according to the service rules to obtain actual error patient history tables, performing association marking on the judged error data items and the actual error patient history tables, and recording the names of the currently judged error data items and the total number of the actual error patient history tables corresponding to the error data items correspondingly to form three types of data to be processed.
5. A server, comprising:
the receiving module is used for receiving a first query request which is sent by a current user and carries time range information, a second query request which is formed by clicking a corresponding error data item by the current user, and data information which is sent by the current user after the current user confirms that data modification is finished;
the storage module is used for storing the medical record table, the judgment rule and the error early warning table;
a processing module for performing the following processes:
after receiving a first query request sent by the current user, pulling a medical record table stored in a storage module within a corresponding time range according to the first query request, and processing the pulled medical record table by using a preset judgment rule to form an error early warning table;
after receiving a second query request, acquiring all the illness state charts corresponding to the clicked error data items according to the second query request;
the sending module is used for sending the generated error early warning table to the current user so that the current user can check specific data, and the current user can click a corresponding error data item to form a second query request; and data for sending all the patient charts corresponding to the clicked error data items to the current user for the current user to view and modify the patient charts;
the processing module is further used for updating the data in the corresponding medical record in the database after the current user confirms that the data modification is finished;
the processing module is specifically configured to perform the following processing:
judging the type of each data item in the medical record, wherein the type comprises a description type and a judgment type;
if the data items in the pathology list are judged to comprise the description types, counting the total number of all the pathology lists which comprise the description type data items and the description type data items are null values, carrying out association marking on the counted pathology lists with the description type data items being null values corresponding to the corresponding description type data items, judging the description type data items with the null values as error data items, and correspondingly recording the name of each error data item and the total number of the corresponding pathology lists to form a type of data to be processed;
if the data items in the medical record list comprise the statistics types, counting the total number of the medical record list which comprises the statistics type data items and is not null, and correspondingly recording the name of each statistics type data item which is not null and the corresponding total number of the medical record list to form two types of data to be processed;
grouping all statistical data items in the second type of data to be processed according to a preset grouping rule, wherein each grouped statistical data item corresponds to a mathematical rule; judging whether the total number corresponding to all the statistic data items in each group meets the mathematical rule corresponding to the group or not; if not, judging all the statistical data items in the group as error data items, carrying out association marking on a medical record containing the currently judged error data items, and correspondingly recording the name of the currently judged error data item and the total number of the medical record corresponding to the error data item to form three types of data to be processed;
and generating an error early warning table according to the first class of data to be processed, the second class of data to be processed and the third class of data to be processed.
6. A user terminal, characterized by: comprising a memory and a processor, the memory having stored therein a set of instructions for the processor to invoke to implement the method as recited in any of claims 1-4.
7. A data error correction early warning system is characterized in that: comprising a server according to claim 5 and a user terminal according to claim 6.
8. A computer-readable storage medium, characterized in that: a computer program which can be loaded by a processor and which executes the method according to any of claims 1 to 4.
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