CN112102910A - Method and device for automatically checking proprietary data docking data - Google Patents
Method and device for automatically checking proprietary data docking data Download PDFInfo
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Abstract
The application discloses a method and a device for automatic verification of privatized data docking data. The method comprises the following steps: acquiring data to be tested; checking the data to be tested based on a preset checking rule, wherein the preset checking rule points to a coverage rate parameter of the data to be tested; and outputting a checking result, wherein the checking result at least comprises the data coverage rate. By the method, a large amount of time for manually sampling and searching data is saved, the testing efficiency is improved, the coverage rate is generated, the overall coverage condition is known, the technical problem that data is difficult to expose and lose in the testing process is solved, and the technical effects of improving the efficiency of testing the docking data and ensuring the accuracy of the privatized data docking data are achieved.
Description
Technical Field
The application relates to the field of data processing, in particular to a method and a device for automatic verification of privatized data docking data.
Background
In a privatized deployment system of a hospital, electronic medical record data of a docking hospital needs to be acquired, the data acquired from the hospital is processed, and finally, the data is stored in the privatized deployment system.
When the tester who is responsible for the data quality assurance is when guaranteeing data butt joint quality, needs the electronic medical record data of a certain quantity to cover comprehensive test scene, among the prior art, because there is the difference in the hospital system condition of different hospitals, hospital data electronic medical record data is more and relate to a plurality of different modules, and it is lower to look for data efficiency artificially when testing the scene, consequently is difficult to expose whether have a problem in the data, has the technical problem that is difficult to expose the data disappearance.
Content of application
The main purpose of the present application is to provide a method for privatized data docking data automatic verification, which is convenient for a tester to perform a data docking quality test, improves the test efficiency, and is convenient for exposing the data missing condition.
In order to achieve the above object, the present application proposes a method for automatic verification of privatized data docking data;
in a second aspect of the present application, a device for automatically verifying privatized data docking data is further provided;
in a third aspect of the present application, a system for automatic verification of privatized data docking data is also provided.
In view of the above, according to a first aspect of the present invention, a method for privatized data docking data automatic verification is provided, including: acquiring data to be tested; checking the data to be tested based on a preset checking rule, wherein the preset checking rule points to a coverage rate parameter of the data to be tested; and outputting a checking result, wherein the checking result at least comprises the data coverage rate.
Further, the set data check rule is: based on the electronic medical record data structure, dividing the electronic medical record data into a plurality of modules; selecting a preset module associated with the coverage rate parameter of the data to be tested from the plurality of modules based on the user data processing requirement; and setting the preset checking rule according to the preset module.
Further, based on the preset verification rule, the data to be tested is verified, and the method is specifically realized as follows: identifying first data in a first database, wherein the first data is to-be-tested data for the preset module, and the first database stores electronic medical record data to be checked; calling second data in a second database, wherein the second data are all data matched with the preset module, and the second database stores standard electronic medical record data; comparing the first data with the second data by using the preset check rule; and outputting the comparison result as a checking result.
Further, the outputting the checking result includes: generating data coverage rate aiming at the current preset module in a first database based on the comparison result; the data coverage rate is specifically as follows: a similarity of the first data and the second data; and judging the data missing condition in the first database according to the data coverage rate.
Further, acquiring data to be tested, comprising: the first statistical mode is used for reading the data of the first database in a traversing manner to obtain the data to be tested under the preset module;
further, acquiring data to be tested, comprising: and in a second statistical mode, sampling and collecting first database data according to a preset period to obtain to-be-tested data under the preset module.
In a second aspect of the present invention, an apparatus for automatic verification of privatized data docking data is provided. The method comprises the following steps: the data acquisition device is used for acquiring data to be tested; the data checking device: checking the data to be tested based on a preset checking rule, wherein the preset checking rule points to a coverage rate parameter of the data to be tested; a data output device: and outputting a checking result, wherein the checking result at least comprises the data coverage rate.
Further, the data checking device also executes a data checking rule, and divides the electronic medical record data into a plurality of modules based on the electronic medical record data structure; selecting a preset module associated with the coverage rate parameter of the data to be tested from the plurality of modules based on the user data processing requirement; and setting the preset checking rule according to the preset module.
Further, the data verification device verifies the data to be tested based on a preset verification rule, and specifically executes: identifying first data in a first database, wherein the first data are data to be tested aiming at the preset module, and the first database stores electronic medical record data to be checked; calling second data in a second database, wherein the second data are all data matched with the preset module, and the second database stores standard electronic medical record data; comparing the first data with the second data by using the preset check rule; and outputting the comparison result as a checking result.
The third aspect of the present invention provides a system for automatic verification of privatized data docking data, including: a device for automatic data automatic verification of privatized data docking data realizes the method required by the method;
the system comprises a first database for storing electronic medical record data to be checked;
and the second database of the system stores standard electronic medical record data.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the application, the electronic medical record data containing the specific module in the docking data are recorded, the data are checked according to the module in a hospital system according to the recorded data, whether problems exist in the docking data is judged according to a checking result, acquisition coverage rate information is generated according to a checking condition, in addition, sampling checking is carried out on the docking data according to a time interval, comprehensive statistics and acquisition are carried out on the data conveniently, and a certain checking rule is set to check the docking data containing the specific information. Therefore, the invention records the case data containing the specific module information through program automatic statistics, saves a large amount of time for manually sampling and searching the data, improves the testing efficiency, generates the coverage rate, knows the overall coverage condition, solves the technical problem that the data is difficult to expose and lose in the testing process, and achieves the technical effects of improving the efficiency of testing the docking data and ensuring the accuracy of the privatized data docking data.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is a schematic flowchart of a method for automatic verification of privatized data docking data according to the present application;
fig. 2 is a schematic flowchart of a method for automatically verifying privatized data docking data according to the present application;
fig. 3 is a schematic flowchart of a method for automatically verifying privatized data docking data according to the present application;
fig. 4 is a schematic flowchart of a method for automatically verifying privatized data docking data according to the present application;
fig. 5 is a schematic flowchart of a method for automatically verifying privatized data docking data according to the present application;
fig. 6 is a schematic structural diagram of an apparatus for automatic verification of privatized data docking data according to the present application;
FIG. 7 is a schematic structural diagram of another apparatus for automatic verification of proprietary data docking data provided in the present application;
FIG. 8 is a schematic structural diagram of a system for automatic verification of proprietary data docking data according to the present application;
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, "connected" may be a fixed connection, a detachable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Fig. 1 is a schematic flowchart of a method for automatically verifying privatized data docking data according to the present application, and as shown in fig. 1, the method includes the following steps:
s101, acquiring data to be tested;
specifically, the method for automatically verifying the privatized data docking data provided by the embodiment of the application is applied to a privatized system docked with a hospital system, and when a tester responsible for ensuring the data quality guarantees the data docking quality, a certain amount of electronic medical record data needs to be acquired for comprehensive testing, wherein the data to be tested is the electronic medical record data acquired by docking in the privatized system through a certain acquisition means.
S102, checking the data to be tested based on a preset checking rule, wherein the preset checking rule points to a coverage rate parameter of the data to be tested;
fig. 2 shows a generation process of the preset checking rule, which includes:
s201: based on the electronic medical record data structure, dividing the electronic medical record data into a plurality of modules;
electronic medical record data record information is more, wherein involves a plurality of modules, records different medical record data information under every module, consequently, based on electronic medical record data structure, splits electronic medical record data into a plurality of modules, if: medical record summaries, outpatient (emergency) records, examination and examination records, general treatment records, midwifery records, nursing operation records, nursing assessment and nursing plan, informed information, first page of inpatient case, first page of traditional Chinese medicine inpatient case, admission records, inpatient course records, inpatient advice, discharge summary, referral (hospital) records, and medical institution information.
S202: selecting a preset module associated with the coverage rate parameter of the data to be tested from the plurality of modules based on the user data processing requirement;
based on user data processing requirements in a privatization system, a preset module related to the coverage rate parameter of the data to be tested, namely the coverage rate parameter corresponding to the user data processing requirements, is selected from a plurality of modules segmented by the electronic medical record data.
S203: and setting the preset checking rule according to the preset module.
For example, if the electronic medical record data is divided into a plurality of modules according to the electronic medical record data structure, the user a needs to perform statistical analysis on the electronic medical record data of the midwifery record, that is, the data processing requirement of the user a is the midwifery record, the midwifery record in the divided electronic medical record data is selected as the preset module, the data checking rule is set according to the midwifery record, and the midwifery record corresponds to the data coverage rate of the midwifery record of the current test data.
Fig. 3 shows a specific process of checking data to be tested, which includes:
s301: identifying first data in a first database, wherein the first data is to-be-tested data for the preset module, and the first database stores electronic medical record data to be checked;
the method comprises the steps of identifying first data in a first database, wherein the first database is electronic medical record data obtained by butting a privatization system, and identifying to-be-tested data containing a preset module based on the preset module, wherein the to-be-tested data are obtained by collecting the to-be-tested data from the first database through a certain collection means.
S302: calling second data in a second database, wherein the second data are all data matched with the preset module, and the second database stores standard electronic medical record data;
and calling second data in a second database, wherein the second database is electronic medical record data in the hospital system, namely original electronic medical record data which is not subjected to privatization system docking, and calling the original electronic medical record data containing a preset module in the hospital system based on the preset module.
S303: comparing the first data with the second data by using the preset check rule;
and comparing the data to be tested containing the preset module with the called data containing the preset module in the hospital system, and comparing the data under the preset check rule, namely under the same preset module.
S304: outputting the comparison result as a checking result;
generating data coverage rate aiming at the current preset module in a first database based on the comparison result;
the data coverage rate is specifically as follows: a similarity of the first data and the second data.
S305: and judging the data missing condition in the first database according to the checking result.
And judging the data missing condition in the first database according to the data coverage rate.
And judging the missing condition of the data under the current preset module in the first database according to the data coverage rate corresponding to the current preset module, so as to expose the missing problem of the data.
And judging the specific condition of the missing data in the first database according to the data coverage rate corresponding to different preset modules.
S103, outputting a checking result, wherein the checking result at least comprises data coverage rate.
FIG. 4 is a schematic flow chart illustrating a process of acquiring data to be tested in a first statistical manner for data verification.
S401: reading the collected data in full quantity, and traversing the data of the first database;
s402: identifying first data in the first database, wherein the first data is data to be tested under the preset module;
s403: calling second data in a second database, wherein the second data are all data matched with the preset module;
s404: comparing the first data with the second data, and outputting a comparison result serving as a checking result;
s405: and obtaining coverage rate information aiming at the preset module according to the checking result, and judging the data missing condition in the first database.
For example, if the privatization system a is connected with the hospital system B, the privatization system a acquires the electronic medical record data in the connected hospital system B, the current data needs to be checked, the data missing condition in the connected data is confirmed, the whole data in the current privatization system is collected by adopting a full reading mode, according to the data processing requirement of the current user, a first page of the traditional Chinese medical hospitalization case is selected as a preset module, a preset checking rule is set, the data in the privatization system a collected in full quantity, which contains the data of the first page module of the traditional Chinese medical hospitalization case, is identified as first data, the data in the hospital system B, which contains the first page module of the traditional Chinese medical hospitalization case, is called as second data, the first data and the second data are compared, the data coverage rate corresponding to the current module is generated according to the comparison result, the data coverage condition is known, and the privatization system a is judged to have the data missing, and the specific missing condition of the data in the privatization system A is known according to the data coverage rate information.
Acquiring data to be tested, comprising:
and in a second statistical mode, sampling and collecting first database data according to a preset period to obtain to-be-tested data under the preset module.
And generating a preset period according to the data acquisition time period, and sampling according to the preset period to automatically acquire data in the privatized system.
The data of the first database are sampled and collected through a second statistical mode, and the collection of the electronic medical record data covering all time intervals can be achieved.
Fig. 5 shows a schematic flow chart for verifying the acquired data.
S501: acquiring electronic medical record data;
electronic medical record data butted with a hospital system in a privatization system is obtained.
S502: generating a preset check rule according to the data content of the electronic medical record based on the user processing requirement;
and generating a preset check rule according to the subsequent data processing requirements of the user and the contents of the electronic medical record, such as the contents of the sex of the patient, the drug allergy condition, the infectious diseases and the like in the electronic medical record data.
S503: processing the acquired electronic medical record based on a preset check rule;
and identifying the electronic medical record data which accords with the preset verification rule in the privatization system according to the preset verification rule, and processing the electronic medical record data which accords with the preset verification rule.
S504: and outputting the electronic medical record data with the pointing characteristic of the preset verification rule according to the processing result.
And a processing result is output, so that the standardized processing of the electronic medical record data in the later period is facilitated.
And judging whether the output processing result contains the electronic medical record data which does not accord with the preset check rule, and obtaining whether the current data processing has problems.
For example, if the electronic medical record data of the female patient needs to be processed currently, a preset check rule is set, that is, the sex of the female patient is set, the electronic medical record data in the privatization system is checked, the electronic medical record data of the female patient in the privatization system is identified, the electronic medical record data of the female patient in the privatization system is processed, and a processing result is output, so that the electronic medical record data can be conveniently processed in a later stage. Meanwhile, the output processing result is judged to contain the electronic medical record data of which the patient is male, and the current data processing has no problem.
Fig. 6 is a schematic structural diagram of an apparatus for automatic verification of privatized data docking data according to the present application, including:
the data acquisition device 61: the device is used for acquiring data to be tested;
the data verification means 62: checking the data to be tested based on a preset checking rule, wherein the preset checking rule points to a coverage rate parameter of the data to be tested;
the data verification means 62 executes the setting of the data verification rule including:
based on the electronic medical record data structure, dividing the electronic medical record data into a plurality of modules;
selecting a preset module associated with the coverage rate parameter of the data to be tested from the plurality of modules based on the user data processing requirement;
and setting the preset checking rule according to the preset module.
The data checking device 62 checks the data to be tested specifically:
identifying first data in a first database, wherein the first data are data to be tested aiming at the preset module, and the first database stores electronic medical record data to be checked;
calling second data in a second database, wherein the second data are all data matched with the preset module, and the second database stores standard electronic medical record data;
comparing the first data with the second data by using the preset check rule;
and outputting the comparison result as a checking result.
The data output device 63: and outputting a checking result, wherein the checking result at least comprises the data coverage rate.
Fig. 7 is a schematic structural diagram of another apparatus for privatized data docking data automatic verification proposed in the present application, including:
the recognition module 71: the system comprises a first database, a second database and a third database, wherein the first database is used for identifying first data in the first database, the first data is to-be-tested data aiming at the preset module, and the first database stores electronic medical record data to be checked;
the calling module 72: calling second data in a second database, wherein the second data are all data matched with the preset module, and the second database stores standard electronic medical record data;
the comparison module 73: comparing the first data with the second data by using the preset check rule;
the result output module 74: and outputting the comparison result as a checking result.
FIG. 8 shows a schematic structural diagram of a system for automatic verification of privatized data docking data, which includes:
an apparatus 81 for automatically verifying proprietary data docking data implements the steps and functions corresponding to fig. 1 to 5, and the specific implementation process refers to the diagrams corresponding to fig. 1 to 5 and the description thereof, which are not described herein again. (ii) a
A system first database 82 for storing electronic medical record data to be checked;
the system second database 83 stores standard electronic medical record data.
In summary, the following steps:
in the context of the present application, it is,
the method comprises the steps of recording electronic medical record data containing specific modules in the docking data, checking the electronic medical record data according to the specific modules in a hospital system according to the recorded data, judging whether problems exist in the docking data according to a checking result, generating acquisition coverage rate information according to a checking condition, sampling and checking the docking data according to time intervals, facilitating comprehensive statistical acquisition of the data, and setting certain checking rules to check the docking data containing specific information. Therefore, the invention records the case data containing the specific module information through program automatic statistics, saves a large amount of time for manually sampling and searching the data, improves the testing efficiency, generates the coverage rate, knows the overall coverage condition, solves the technical problem that the data is difficult to expose and lose in the testing process, and achieves the technical effects of improving the efficiency of testing the docking data and ensuring the accuracy of the privatized data docking data.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
It will be apparent to those skilled in the art that the various elements or steps of the present application described above may be implemented by a general purpose computing device, centralized on a single computing device or distributed across a network of multiple computing devices, or alternatively, may be implemented by program code executable by a computing device, such that the program code may be stored in a memory device and executed by a computing device, or may be implemented by individual integrated circuit modules, or by a plurality of modules or steps included in the program code as a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method for privatized data docking data automatic verification, comprising:
acquiring data to be tested;
checking the data to be tested based on a preset checking rule, wherein the preset checking rule points to a coverage rate parameter of the data to be tested;
and outputting a checking result, wherein the checking result at least comprises the data coverage rate.
2. The method of claim 1, further comprising: the set data is checked for rules that are,
based on the electronic medical record data structure, dividing the electronic medical record data into a plurality of modules;
selecting a preset module associated with the coverage rate parameter of the data to be tested from the plurality of modules based on the user data processing requirement;
and setting the preset checking rule according to the preset module.
3. The method according to claim 1 or 2, wherein the data to be tested is checked based on a preset checking rule, and the method is implemented by:
identifying first data in a first database, wherein the first data is to-be-tested data for the preset module, and the first database stores electronic medical record data to be checked;
calling second data in a second database, wherein the second data are all data matched with the preset module, and the second database stores standard electronic medical record data;
comparing the first data with the second data by using the preset check rule;
and outputting the comparison result as a checking result.
4. The method of claim 1 or 3, wherein outputting the verification result comprises:
generating data coverage rate aiming at the current preset module in a first database based on the comparison result;
the data coverage rate is specifically as follows: a similarity of the first data and the second data;
and judging the data missing condition in the first database according to the data coverage rate.
5. The method of claim 2, wherein obtaining data to be tested comprises:
and in the first statistical mode, traversing and reading the data of the first database to obtain the data to be tested under the preset module.
6. The method of claim 2, wherein obtaining data to be tested comprises:
and in a second statistical mode, sampling and collecting first database data according to a preset period to obtain to-be-tested data under the preset module.
7. An apparatus for privatized data docking data automatic verification, comprising:
the data acquisition device is used for acquiring data to be tested;
the data checking device: checking the data to be tested based on a preset checking rule, wherein the preset checking rule points to a coverage rate parameter of the data to be tested;
a data output device: and outputting a checking result, wherein the checking result at least comprises the data coverage rate.
8. The apparatus of claim 7, wherein the data checking means further performs setting a data checking rule,
based on the electronic medical record data structure, dividing the electronic medical record data into a plurality of modules;
selecting a preset module associated with the coverage rate parameter of the data to be tested from the plurality of modules based on the user data processing requirement;
and setting the preset checking rule according to the preset module.
9. The apparatus according to claim 8, wherein the data verifying apparatus verifies the data to be tested based on a preset verifying rule, and specifically performs:
identifying first data in a first database, wherein the first data are data to be tested aiming at the preset module, and the first database stores electronic medical record data to be checked;
calling second data in a second database, wherein the second data are all data matched with the preset module, and the second database stores standard electronic medical record data;
comparing the first data with the second data by using the preset check rule;
and outputting the comparison result as a checking result.
10. A system for privatized data docking data automatic verification, comprising:
an apparatus for privatized data docking data auto-verification as claimed in any one of claims 7 to 9;
the system comprises a first database for storing electronic medical record data to be checked;
and the second database of the system stores standard electronic medical record data.
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