CN116010392A - Method, device and equipment for intelligently analyzing data quality of data source end - Google Patents
Method, device and equipment for intelligently analyzing data quality of data source end Download PDFInfo
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- CN116010392A CN116010392A CN202310010207.6A CN202310010207A CN116010392A CN 116010392 A CN116010392 A CN 116010392A CN 202310010207 A CN202310010207 A CN 202310010207A CN 116010392 A CN116010392 A CN 116010392A
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Abstract
The invention discloses a method, a device and equipment for intelligently analyzing data quality of a data source end, wherein the method comprises the following steps: receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data; synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result; judging whether the health medical data needs to be modified according to the analysis result; if the health medical data is determined to need modification, returning the medical data report to the data source end, re-synchronizing the modified medical data report to the data analysis platform, and performing data analysis again; and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database. The data support can be provided for follow-up perfecting data analysis platform rules and data statistics analysis according to the modification records of doctors.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a method, an apparatus, and a device for intelligently analyzing data quality of a data source.
Background
Along with the continuous development of informatization construction of hospitals, various medical data are effectively accumulated, and in order to fully mine huge value in the medical data, the data of each hospital are required to be subjected to processing such as aggregation, treatment and the like, so that the data are subjected to targeted mining and analysis operation. In the traditional centralized big data center mode, each hospital needs to uniformly transmit respective original medical data to the regional big data center, then govern according to the uniform data standard, and then rely on the storage and calculation resources of the data center to perform operations such as data exploration, retrieval and mining. Because the data standards of the hospital end are not uniform and the data volume is larger, the mode has the problems of high treatment cost, large data transmission pressure, limited data dimension and the like.
Disclosure of Invention
The invention provides a method, a device and equipment for intelligently analyzing data quality of a data source end, and solves the technical problem that data standards of the data source end are not uniform.
A method for intelligently analyzing data quality of a data source end includes:
receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data;
synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result;
judging whether the health medical data needs to be modified according to the analysis result;
if the health medical data is determined to need modification, returning the medical data report to the data source end, resynchronizing the modified medical data report to the data analysis platform, and carrying out data analysis again;
and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
In one embodiment of the present invention, the data analysis of the health medical data in the medical data report by the data analysis platform specifically includes: acquiring rules in a database of a data analysis platform; determining a specific field in the health medical data according to the rule; judging whether the specific field contains invalid data or not, wherein the invalid data at least comprises one of the following: missing values, infinite numerical data, website data, null fields, error values, messy codes and data which do not meet the standard specification; and generating an analysis result according to the judgment result.
In one embodiment of the present invention, the data analysis of the health medical data in the medical data report by the data analysis platform specifically includes: acquiring rules in a database of a data analysis platform; determining the same field in the medical data report in different data source ends; judging the consistency of the field values corresponding to the fields according to the rules; and generating an analysis result according to the consistency result.
In one embodiment of the present invention, the step of returning the medical data report to the data source end and resynchronizing the modified medical data report to the data analysis platform specifically includes: returning the medical data report to the data source end; determining whether health medical data in the medical data report is modified; if yes, marking a first mark on the health medical data and the medical data report to which the health medical data belongs, and resynchronizing the medical data report with the first mark to the data analysis platform.
In one embodiment of the present invention, after determining whether the health medical data in the medical data report is modified, the method further comprises: if it is determined that the health medical data in the medical data report has not been modified; and marking the health medical data and the medical data report to which the health medical data belongs with a second mark, storing the medical data report with the second mark into the data source end database, and resynchronizing the medical data report with the second mark into the data analysis platform database.
In one embodiment of the invention, after determining that the health medical data does not need to be modified, the method further comprises: marking the health medical data and the medical data report to which the health medical data belongs with a third mark, storing the medical data report with the third mark into the data source end database, and resynchronizing the medical data report with the third mark into the data analysis platform database.
In one embodiment of the present invention, after the health medical data is saved in the data source database, the method further comprises: acquiring a medical data report corresponding to the same object in the data source database; screening the medical data report according to preset conditions; determining the same field and the corresponding field value in the screened medical data report; combining the screened medical data reports according to the same fields and the corresponding field values thereof; uploading the combined medical data report to a data analysis platform; and carrying out data analysis on the combined medical data report according to rules in the data analysis platform database to obtain an analysis result.
An apparatus for intelligently analyzing data quality at a data source, comprising:
the acquisition module is used for receiving the health medical data input from the data source terminal and generating a medical data report according to the health medical data;
the analysis module is used for synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result;
the judging module is used for judging whether the health medical data need to be modified according to the analysis result; if the health medical data is determined to need modification, returning the medical data report to the data source end, resynchronizing the modified medical data report to the data analysis platform, and carrying out data analysis again; and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
An apparatus for intelligently analyzing data quality at a data source, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor via a bus; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to implement:
receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data;
synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result;
judging whether the health medical data needs to be modified according to the analysis result;
if the health medical data is determined to need modification, returning the medical data report to the data source end, resynchronizing the modified medical data report to the data analysis platform, and carrying out data analysis again;
and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
A non-volatile storage medium storing computer executable instructions for execution by a processor to perform the steps of:
receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data;
synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result;
judging whether the health medical data needs to be modified according to the analysis result;
if the health medical data is determined to need modification, returning the medical data report to the data source end, resynchronizing the modified medical data report to the data analysis platform, and carrying out data analysis again;
and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
The invention provides a method, a device and equipment for intelligently analyzing data quality of a data source end, which at least comprise the following beneficial effects: according to the invention, by carrying out data analysis at a data source end, on the premise of not influencing the patient diagnosis quality and the doctor diagnosis efficiency before important health medical data finally enter a database, on the premise of aiming at information input by a doctor and based on medical quality standards, knowledge maps, algorithm models and related requirements, intelligent analysis for effective data quality improvement is carried out, and standard prompt is carried out on input data. By marking the stored health medical data differently, data support can be provided for follow-up perfecting data analysis platform rules and data statistics analysis according to the doctor's modification record. The whole life cycle of the generation, data aggregation, data management, data storage, data application and data destruction of the health medical data from the data source end is formed, and the data quality is high. Thereby reducing the data treatment cost of the data application, improving the effective value of the data application and better providing high-efficiency service for the whole medical system.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a schematic diagram of steps of a method for intelligently analyzing data quality at a data source according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for intelligently analyzing data quality of a data source according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an apparatus for intelligently analyzing data quality at a data source according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an apparatus for intelligently analyzing data quality of a data source according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be clearly and completely described in connection with the following specific embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that those skilled in the art explicitly and implicitly understand that the described embodiments of the invention can be combined with other embodiments without conflict. Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The terms "a," "an," "the," and similar referents in the context of the invention are not to be construed as limiting the quantity, but rather as singular or plural. The terms "comprising," "including," "having," and any variations thereof, are intended to cover a non-exclusive inclusion; the terms "first," "second," "third," and the like, as used herein, are merely distinguishing between similar objects and not representing a particular ordering of objects.
The invention provides a method, a device and equipment for intelligently analyzing data quality of a data source end, which are used for carrying out effective intelligent analysis on data quality improvement on the premise of not influencing the patient diagnosis quality and doctor diagnosis efficiency and aiming at information input by a doctor and on the premise of based on medical quality standard, knowledge graph, algorithm model and related requirements before important health medical data finally enter a database, and carrying out standard prompt on input data. The whole life cycle of the generation, data aggregation, data management, data storage, data application and data destruction of the health medical data from the data source end is formed, and the data quality is high. Thereby reducing the data treatment cost of the data application and improving the effective value of the data application, and better providing high-efficiency service for the whole medical system. The following is a detailed description.
Fig. 1 is a schematic diagram of steps of a method for intelligently analyzing data quality of a data source according to an embodiment of the present invention, which may include the following steps:
s110: and receiving the health medical data input from the data source terminal, and generating a medical data report according to the health medical data.
Specifically, a flowchart of data analysis on the data source is shown in fig. 2. And the data source end: the source of the health medical data refers to a business system for generating the health medical data during the treatment process, and the business system comprises a hospital information system (Hospital Information System, HIS), a laboratory information management system (Laboratory Information Management System, LIS), a medical image archiving and communication system (Picture archiving and communication systems, PACS), a radiation information management system (Radioiogy information system, RIS) and the like.
The health medical data generated at the data source end comprises medical record information, patient image reports, consumption information, personal health information monitored by the mobile equipment and the like, and the data is related to medical treatment and personal health. After the corresponding business system fills in the health medical data, the staff generates a corresponding medical data report.
For example, in the process of seeing a doctor, a patient goes to a hospital to visit, firstly, a registration department is provided, and information such as the name, the identification card number, payment or recharging, registration and the like of the patient is recorded in a business system of staff at the registration department; when a patient touches a doctor to see a doctor, the doctor inputs basic identity information of the patient, illness state, medicine opening, examination items and other data in a business system used by the doctor; when a patient is used for an examination project, an inspector inputs patient identity information, patient examination conditions or results and other data in a business system used by the inspector; when a patient takes a medicine in a pharmacy, a business system at a ward inputs the data of patient identity information, medicine taking, medicine purchasing, consumption and the like. The data are all the health medical data of the data source end.
S120: and synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result.
Specifically, the data analysis platform can be a visual operation platform, and can lock a service system determination page after a doctor clicks and determines the service system according to published standard data sets, data source end data set standards, knowledge patterns and artificial intelligence technologies, and perform unified analysis through an algorithm in an analysis algorithm database to perform reasonable and intelligent data prompt.
The data analysis platform analyzes the health medical data by calling analysis rules stored in a data analysis platform database, wherein the main analysis rules are used for judging the relevance, the integrity, the accuracy, the rationality and the like of the health medical data. Correlation: such as the correspondence between an outpatient prescription form and a billing statement, the correspondence between an electronic examination application form and an examination report, etc.
Integrity: such as whether the prescription information contains basic information of medicines, usage, frequency, dosage and other key fields are perfect.
Accuracy: such as diagnosis, whether the surgical code is in the standard value range.
Rationality: the content of the field is recorded and is ready, and whether the field has data such as messy codes, missing values, infinite numerical data, website data, null fields, error values, and the like which do not meet the standard specification.
In one embodiment of the present invention, the data analysis platform is used for performing data analysis on the health medical data in the medical data report, and specifically includes: acquiring rules in a database of a data analysis platform; determining a specific field in the health medical data according to the rule; judging whether the specific field contains invalid data or not, wherein the invalid data at least comprises one of the following: missing values, infinite numerical data, website data, null fields, error values, messy codes and data which do not meet the standard specification; and generating an analysis result according to the judgment result.
The data analysis platform is used for calling analysis rules in the data analysis platform database to verify whether fields in the health medical data are invalid data, for example, the name, sex and other information of a patient are not filled in at a toll gate or in a filing process, or the text is not provided with keywords, or the patient is filled in by age errors and the like.
In one embodiment of the present invention, the data analysis platform is used for performing data analysis on the health medical data in the medical data report, and specifically includes: acquiring rules in a database of a data analysis platform; determining the same field in the medical data report in different service systems; judging the consistency of the field values corresponding to the fields according to the rules; and generating an analysis result according to the consistency result.
Specifically, the data analysis platform invokes an analysis method in a database of the data analysis platform to determine whether the information of the same patient is consistent. For example, when the sex of the patient recorded with the name of Zhang three in the business system of the toll gate is male, but the sex of Zhang three recorded in the business system of the doctor's office is female, the sexes of the same object in different business systems are inconsistent, and the patient needs to return to the doctor's business system for refill according to the analysis result.
S130: and judging whether the health medical data needs to be modified according to the analysis result.
Specifically, in order to unify the data standard, whether the data of the deletion, the error and the like exist in the health medical data is analyzed and determined according to the rule, and whether the modification is needed is judged according to the analysis result. For example, when a doctor prescribes a prescription, 1 dose of medicine should be prescribed, but 2 doses of medicine are input by the doctor, so that judgment is inconsistent with the rule, and the doctor is returned to the service system of the doctor to remind the doctor of modification.
S140: if the health medical data is determined to need to be modified, the medical data report is returned to the data source end, the medical data report after modification is re-synchronized to the data analysis platform, and data analysis is performed again.
In one embodiment of the present invention, the medical data report is returned to the data source, and the medical data report after modification is re-synchronized to the data analysis platform, which specifically includes: returning the medical data report to the data source end; determining whether the health medical data in the medical data report is modified; if yes, marking the first mark on the health medical data and the medical data report to which the health medical data belongs, and resynchronizing the medical data report with the first mark to the data analysis platform.
Specifically, after the data analysis platform analyzes that the medical data filled by the doctor is wrong, the corresponding medical data report is returned to the business system operated by the doctor, the doctor judges whether the reminded medical data of the data operation platform need to be changed according to the analysis result, for example, the analysis result shows that the dosage of a certain medicine in the prescription is 1 part, but the doctor displays that the medicine dosage is a plurality of parts, the doctor confirms that the prescription is wrong after seeing the message prompt, approves the analysis result, and then the medical data is modified and stored in the business system. The business system determines that the doctor marks the first mark on the health medical data after modification, the medical data report with the first mark is also provided with the first mark, the medical data report with the first mark is resynchronized to the data analysis platform for data analysis, and the analysis result is prompted again.
In one embodiment of the invention, if it is determined that the health medical data in the medical data report has not been modified; and marking the health medical data and the medical data report to which the health medical data belongs with a second mark, storing the medical data report with the second mark into a data source end database, and resynchronizing the medical data report with the second mark into a data analysis platform database.
Specifically, in order to ensure the flexibility of the doctor's work, if the doctor fills in a plurality of doses of a certain medicine when prescribing, but the data analysis platform obtains an analysis result after analysis to indicate that the dose of the medicine should be 1, the doctor judges that the doctor fills in the medicine according to the illness state of the patient without errors, and the doctor can save the health medical data without modifying the health medical data. And marking the unmodified health medical data with a second mark, then carrying out second mark on the medical data report to which the health medical data belongs, storing the medical data report with the second mark into a business system database, and resynchronizing the medical data report with the second mark into a data analysis platform database. The worker may further refine the rules based on the health medical data with the second indicia.
S150: and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
In one embodiment of the present invention, if it is determined that the health medical data does not need to be modified, a third mark is given to the health medical data and the medical data report to which the health medical data belongs, the medical data report with the third mark is stored in the data source database, and then the medical data report with the third mark is resynchronized to the data analysis platform database.
Specifically, after the data analysis platform analyzes the health medical data, an analysis result which is not required to be modified is obtained, the doctor is judged to input the data completely accurately, the content is not required to be adjusted, the service system prompts that no problem exists, the data analysis platform marks the third mark, the health medical data is stored in the service system database, and the data is re-synchronized to the data analysis platform database. To complete a unified standard for health medical data.
In one embodiment of the present application, after health medical data is saved in a data source database, a medical data report corresponding to the same object in the data source database is obtained; screening the medical data report according to preset conditions; determining the same field and the corresponding field value in the screened medical data report; combining the screened medical data reports according to the same fields and the corresponding field values thereof; uploading the combined medical data report to a data analysis platform; and carrying out data analysis on the combined medical data report according to rules in the data analysis platform database to obtain an analysis result.
Specifically, in order to better perform data mining, medical data reports about the same object acquired in different service systems are fused to obtain more data information. For example, to obtain the physical index change condition of the patient within one month, the daily physical index data of the patient within one month is screened out and fused, and because the attribute information of the name, the sex and the like of the same object are the same, fields of the name, the sex and the like in the daily medical data report and the corresponding field values are unified and combined, the daily physical indexes are sequentially arranged and then uploaded to a data analysis platform, and the daily physical index change condition of the patient is analyzed according to the rules in the database of the data analysis platform to obtain an analysis result so as to assist doctors in judging illness states.
The method for intelligently analyzing the data quality of the data source provided by the embodiment of the invention is based on the same thought, and the embodiment of the invention also provides a corresponding device for intelligently analyzing the data quality of the data source, as shown in fig. 3.
The acquisition module 301 is configured to receive health medical data entered from a data source end, and generate a medical data report according to the health medical data; the analysis module 302 is configured to synchronize the medical data report to a data analysis platform, and perform data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result; a judging module 303, configured to judge whether the health medical data needs to be modified according to the analysis result; if the health medical data is determined to need modification, returning the medical data report to the data source end, re-synchronizing the modified medical data report to the data analysis platform, and performing data analysis again; and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
The embodiment of the invention also provides corresponding equipment for intelligently analyzing the data quality of the data source end, as shown in fig. 4.
The embodiment provides a device for intelligently analyzing data quality of a data source end, which comprises:
at least one processor 401; and a memory 402 communicatively coupled to the at least one processor 401 via a bus 403; wherein the memory 402 stores instructions executable by the at least one processor, the instructions being executable by the at least one processor 401 to enable the at least one processor 401 to perform:
receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data; synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result; judging whether the health medical data needs to be modified according to the analysis result; if the health medical data is determined to need modification, returning the medical data report to the data source end, re-synchronizing the modified medical data report to the data analysis platform, and performing data analysis again; and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
Based on the same thought, some embodiments of the present invention also provide a medium corresponding to the above method.
Some embodiments of the invention provide a storage medium storing computer executable instructions for execution by a processor to perform the steps of:
receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data; synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result; judging whether the health medical data needs to be modified according to the analysis result; if the health medical data is determined to need modification, returning the medical data report to the data source end, re-synchronizing the modified medical data report to the data analysis platform, and performing data analysis again; and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for the apparatus and medium embodiments, the description is relatively simple, as it is substantially similar to the method embodiments, with reference to the section of the method embodiments being relevant.
The devices and media provided in the embodiments of the present invention are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not repeated here.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process article or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process article or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process method article or method comprising the element.
The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. While the invention has been described in detail in the foregoing general description and with reference to specific embodiments thereof, it will be apparent to one skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (10)
1. A method for intelligently analyzing data quality at a data source end, comprising the steps of:
receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data;
synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result;
judging whether the health medical data needs to be modified according to the analysis result;
if the health medical data is determined to need modification, returning the medical data report to the data source end, resynchronizing the modified medical data report to the data analysis platform, and carrying out data analysis again;
and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
2. The method according to claim 1, wherein the data analysis of the health medical data in the medical data report by the data analysis platform, in particular comprises:
acquiring rules in a database of a data analysis platform;
determining a specific field in the health medical data according to the rule;
judging whether the specific field contains invalid data or not, wherein the invalid data at least comprises one of the following: missing values, infinite numerical data, website data, null fields, error values, messy codes and data which do not meet the standard specification;
and generating an analysis result according to the judgment result.
3. The method according to claim 1, wherein the data analysis of the health medical data in the medical data report by the data analysis platform, in particular comprises:
acquiring rules in a database of a data analysis platform;
determining the same field in the medical data report in different service systems;
judging the consistency of the field values corresponding to the fields according to the rules;
and generating an analysis result according to the consistency result.
4. The method according to claim 1, wherein the step of returning the medical data report to the data source and re-synchronizing the modified medical data report to the data analysis platform comprises:
returning the medical data report to the data source end;
determining whether health medical data in the medical data report is modified;
if yes, marking a first mark on the health medical data and the medical data report to which the health medical data belongs, and resynchronizing the medical data report with the first mark to the data analysis platform.
5. The method of claim 4, wherein after determining whether the health medical data in the medical data report is modified, the method further comprises:
if it is determined that the health medical data in the medical data report has not been modified;
and marking the health medical data and the medical data report to which the health medical data belongs with a second mark, storing the medical data report with the second mark into the data source end database, and resynchronizing the medical data report with the second mark into the data analysis platform database.
6. The method of claim 1, wherein after determining that the health medical data does not require modification, the method further comprises:
marking the health medical data and the medical data report to which the health medical data belongs with a third mark, storing the medical data report with the third mark into the data source end database, and resynchronizing the medical data report with the third mark into the data analysis platform database.
7. The method of claim 1, wherein after storing the health medical data in a data source database, the method further comprises:
acquiring a medical data report corresponding to the same object in the data source database;
screening the medical data report according to preset conditions;
determining the same field and the corresponding field value in the screened medical data report;
combining the screened medical data reports according to the same fields and the corresponding field values thereof;
uploading the combined medical data report to a data analysis platform;
and carrying out data analysis on the combined medical data report according to rules in the data analysis platform database to obtain an analysis result.
8. An apparatus for intelligently analyzing data quality at a data source, comprising:
the acquisition module is used for receiving the health medical data input from the data source terminal and generating a medical data report according to the health medical data;
the analysis module is used for synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result;
the judging module is used for judging whether the health medical data need to be modified according to the analysis result; if the health medical data is determined to need modification, returning the medical data report to the data source end, resynchronizing the modified medical data report to the data analysis platform, and carrying out data analysis again; and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
9. An apparatus for intelligently analyzing data quality at a data source, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor via a bus; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to implement:
receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data;
synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result;
judging whether the health medical data needs to be modified according to the analysis result;
if the health medical data is determined to need modification, returning the medical data report to the data source end, resynchronizing the modified medical data report to the data analysis platform, and carrying out data analysis again;
and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
10. A non-volatile storage medium storing computer executable instructions, wherein the computer executable instructions are executed by a processor to perform the steps of:
receiving health medical data input from a data source terminal, and generating a medical data report according to the health medical data;
synchronizing the medical data report to a data analysis platform, and carrying out data analysis on the health medical data in the medical data report through the data analysis platform to obtain an analysis result;
judging whether the health medical data needs to be modified according to the analysis result;
if the health medical data is determined to need modification, returning the medical data report to the data source end, resynchronizing the modified medical data report to the data analysis platform, and carrying out data analysis again;
and if the health medical data is determined to be not required to be modified, storing the medical data report into a data source database, and synchronously storing the medical data report into a data analysis platform database.
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