CN111028931B - Medical data processing method and device, electronic equipment and storage medium - Google Patents
Medical data processing method and device, electronic equipment and storage medium Download PDFInfo
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G—PHYSICS
- 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 disclosure provides a medical data processing method, a medical data processing device, electronic equipment and a computer readable storage medium, and belongs to the technical field of computers. The method comprises the following steps: in response to a change of a medical data table in a medical project, determining a field in the medical data table, which is changed, as a field to be counted; and updating the filling rate of the field to be counted according to the changed data in the field to be counted. The method and the device can effectively calculate the filling rate of the medical data, save the calculation resources of the system and effectively process the medical data.
Description
Technical Field
The present disclosure relates to the field of computer technology, and in particular, to a medical data processing method, a medical data processing apparatus, an electronic device, and a computer readable storage medium.
Background
With the rapid development of medical informatization, medical data has grown greatly. Many doctors or researchers often perform statistical analysis on medical data to make medical decisions. At this time, the quality of the medical data has a great influence on the statistical analysis, and if the content of the medical data is not perfect enough and a large number of null values or wrong values appear, the statistical analysis consumes a large amount of resources, and an effective analysis result cannot be obtained, so that the medical data is required to be reasonably processed.
In the medical data processing method, in order to effectively evaluate the quality of medical data, the filling rate of the medical data is generally calculated, and specifically, when a situation of adding new medical data, accessing the medical data by a user, modifying the medical data, or the like occurs, the recalculation of the filling rate of all the medical data is triggered. However, in practical application, when the medical data is changed each time, the calculation of the total data is triggered, the situation that the unnecessary medical data is repeatedly calculated can occur, the workload of the system for calculating the medical data is increased, more resources and time are consumed, and the processing efficiency of the medical data is greatly affected.
Therefore, how to efficiently and reasonably process the medical data so as to effectively calculate the filling rate of the medical data is a problem to be solved in the prior art.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure provides a medical data processing method, a medical data processing apparatus, an electronic device, and a computer-readable storage medium, thereby overcoming the problem of low processing efficiency of medical data in the prior art at least to some extent.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to one aspect of the present disclosure, there is provided a medical data processing method comprising: in response to a change of a medical data table in a medical project, determining a field in the medical data table, which is changed, as a field to be counted; and updating the filling rate of the field to be counted according to the changed data in the field to be counted.
In an exemplary embodiment of the present disclosure, the updating the filling rate of the field to be counted according to the changed data in the field to be counted includes: acquiring the current effective data quantity of the field to be counted; determining the effective data increment of the field to be counted according to the changed data in the field to be counted; and updating the filling rate of the field to be counted according to the current effective data quantity and the effective data increment of the field to be counted.
In an exemplary embodiment of the present disclosure, after determining the field to be counted, the method further includes: determining the current stage of the medical project according to the operation log of the medical data table; if the medical item is currently in the data entry stage, adding the field to be counted into a field cache pool; when the accumulated number of the fields to be counted in the field cache pool reaches a first threshold, executing a step of updating the filling rate of the fields to be counted according to changed data in the fields to be counted for the fields to be counted in the field cache pool.
In an exemplary embodiment of the present disclosure, the method further comprises: and if the medical item is currently in the data use stage, executing the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through an asynchronous queue.
In an exemplary embodiment of the present disclosure, the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through an asynchronous queue includes: if the weight of the field to be counted is larger than a second threshold value, executing a step of updating the filling rate of the field to be counted according to changed data in the field to be counted through a first asynchronous queue; if the weight of the field to be counted is smaller than the second threshold value, executing a step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through a second asynchronous queue; wherein the first asynchronous queue has a higher resource allocation ratio than the second asynchronous queue.
In one exemplary embodiment of the present disclosure, the weights of the fields to be counted are determined by: and determining the weight of the field to be counted through a preconfigured value network.
In an exemplary embodiment of the disclosure, the determining, according to the operation log of the medical data table, a current stage of the medical item includes: counting the number of data change operations and the number of data use operations in the latest preset time in an operation log of the medical data table; if the ratio of the number of data altering operations to the number of data using operations is greater than a third threshold, determining that the medical item is currently in a data entry stage; if the ratio of the number of data altering operations to the number of data using operations is less than a fourth threshold, it is determined that the medical item is currently in a data using phase.
According to one aspect of the present disclosure, there is provided a medical data processing apparatus comprising: the determining module is used for responding to the change of the medical data table in the medical project and determining the changed field in the medical data table as a field to be counted; and the updating module is used for updating the filling rate of the field to be counted according to the changed data in the field to be counted.
In one exemplary embodiment of the present disclosure, the update module includes: the quantity acquisition unit is used for acquiring the current effective data quantity of the field to be counted; the increment determining unit is used for determining the effective data increment of the field to be counted according to the changed data in the field to be counted; and the filling rate updating unit is used for updating the filling rate of the field to be counted according to the current effective data quantity and the effective data increment of the field to be counted.
In one exemplary embodiment of the present disclosure, the medical data processing apparatus further includes: the stage determining module is used for determining the current stage of the medical item according to the operation log of the medical data table after determining the field to be counted; the first judging module is used for adding the field to be counted into a field cache pool if the medical item is currently in a data entry stage; when the accumulated number of the fields to be counted in the field cache pool reaches a first threshold, executing a step of updating the filling rate of the fields to be counted according to changed data in the fields to be counted for the fields to be counted in the field cache pool.
In one exemplary embodiment of the present disclosure, the medical data processing apparatus further includes: and the second judging module is used for executing the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through the asynchronous queue if the medical item is currently in the data use stage.
In an exemplary embodiment of the present disclosure, the second determining module includes: the weight judging unit is used for executing the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through the first asynchronous queue if the weight of the field to be counted is larger than a second threshold value; and if the weight of the field to be counted is smaller than the second threshold value, executing a step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through a second asynchronous queue; wherein the first asynchronous queue has a higher resource allocation ratio than the second asynchronous queue.
In one exemplary embodiment of the present disclosure, the weights of the fields to be counted are determined by: and determining the weight of the field to be counted through a preconfigured value network.
In one exemplary embodiment of the present disclosure, the stage determination module includes: the frequency counting unit is used for counting the frequency of data change operation and the frequency of data use operation in the latest preset time in the operation log of the medical data table; a number judgment unit configured to determine that the medical item is currently in a data entry stage if a ratio of the number of data change operations to the number of data use operations is greater than a third threshold; and if the ratio of the number of data altering operations to the number of data using operations is less than a fourth threshold, determining that the medical item is currently in a data using phase.
According to one aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of any of the above via execution of the executable instructions.
According to one aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.
Exemplary embodiments of the present disclosure have the following advantageous effects:
and in response to the change of the medical data table in the medical project, determining the changed field in the medical data table as a field to be counted, and updating the filling rate of the field to be counted according to the changed data in the field to be counted. On the one hand, compared with the prior art that the filling rate is recalculated when the medical data is changed any time, the present exemplary embodiment provides a good strategy for calculating the filling rate of the medical data, so that the problem of wasting calculation resources caused by invalid data calculation is avoided; on the other hand, the filling rate of the field to be counted is updated by determining the field which is changed in the medical data table and according to the changed data in the field, so that the instantaneity of the filling rate calculation is improved, the calculation of meaningless fields is avoided, and the efficiency and the effectiveness of the medical data filling rate calculation are improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
Fig. 1 schematically shows a flowchart of a medical data processing method in the present exemplary embodiment;
fig. 2 schematically shows a sub-flowchart of a medical data processing method in the present exemplary embodiment;
fig. 3 schematically shows a sub-flowchart of another medical data processing method in the present exemplary embodiment;
fig. 4 schematically shows a sub-flowchart of still another medical data processing method in the present exemplary embodiment;
fig. 5 schematically shows a flowchart of another medical data processing method in the present exemplary embodiment;
fig. 6 schematically shows a block diagram of a medical data processing apparatus in the present exemplary embodiment;
Fig. 7 schematically shows an electronic device for implementing the above method in the present exemplary embodiment;
fig. 8 schematically shows a computer-readable storage medium for implementing the above-described method in the present exemplary embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
The exemplary embodiment of the present disclosure first provides a medical data processing method, and an application scenario of the method of the present embodiment may be: when a doctor performs a study on a subject medical project, calculating a data filling rate for medical data contained in the doctor and the newly input medical data so as to perform a good decision on the medical data; or when the medical data in the medical system is subjected to instantaneous statistical analysis, the quality of the medical data is judged by updating the filling rate of the data.
The following describes the present exemplary embodiment with reference to fig. 1, and as shown in fig. 1, the medical data processing method may include the following steps S110 to S120:
step S110, in response to the change of the medical data table in the medical project, determining the changed field in the medical data table as a field to be counted;
step S120, updating the filling rate of the field to be counted according to the changed data in the field to be counted.
In the medical field, the generated medical data can help doctors to know the illness state of patients, and a reasonable treatment scheme is given, so that a certain basis can be provided for researchers to study specific diseases. When a researcher performs a study on a disease or a subject of a certain type, a corresponding medical item is usually established, for example, a study item for a disease (e.g., a study item for a lung disease, a study item for a heart, etc.), a treatment item for a patient of a certain type (e.g., a treatment item for a heart disease, etc.), or other medical related items.
To determine whether medical data in a medical item is complete, the present exemplary embodiment may calculate a fill rate of medical data in the medical item. Specifically, when a medical data table in a medical item is changed, firstly, a field in the medical data table, which is changed, is determined and used as a field to be counted. It should be noted that, before the medical data table is changed, that is, when the initial medical data is batched into a group (added to a medical item), calculation of the full-volume filling rate may be triggered in advance, so as to perform a comparison analysis with a calculation result of the filling rate.
The medical data refers to related data generated by a patient during diagnosis and treatment, and may include basic information of the patient and specific contents of the diagnosis and treatment, such as patient name, diagnosis number, contact phone, identification card number, disease name, medication data (such as data of what kind of medicine is prescribed for the patient, drug amount, etc.), test data (such as blood routine data obtained by testing blood of the patient, etc.), or examination data (such as data of performing basic examination of heart rate, blood pressure, etc. for the patient, etc.), etc. Accordingly, the medical data table is a record table for storing medical data related to a medical project in the medical project, and may include a plurality of indexes of medical data of a plurality of patients and index values corresponding to the indexes.
In this exemplary embodiment, each medical item may include a corresponding medical data table containing medical data of a patient associated with the item, and the medical data in the medical item is dynamically variable, i.e., medical data may be added to or subtracted from the medical item in order for a researcher to obtain target medical data required for the medical item. The field may refer to a keyword in the medical data table that can reflect an index or attribute of medical data, such as a name, a number, an identification number, blood pressure, heart rate, blood lipid, white blood cells, and the like.
Further, the modification of the medical data table may include adding new medical data to the medical data table, deleting medical data from the medical data table, modifying data of the current medical data table, or replacing medical data in the current medical data table. When the medical data table is changed, determining a field to be counted of the changed related medical data, and updating the filling rate of the medical data in the medical project according to the changed data in the field to be counted.
Specifically, in an exemplary embodiment, the step S120 may include the following steps:
step S210, obtaining the current effective data quantity of a field to be counted;
step S220, determining the effective data increment of the field to be counted according to the changed data in the field to be counted;
step S230, updating the filling rate of the field to be counted according to the current effective data quantity and the effective data increment of the field to be counted.
In practical application, the medical data in each index in the medical data table may have the condition of missing, error or data insufficiency, namely invalid medical data, and the current effective data amount is the data in the index, which can be normally subjected to data analysis, without the condition of missing, error or data insufficiency. For example, there are 100 pieces of data in the medical data table, the field to be counted is white blood cells, wherein, the data value of 80 white blood cells is effective data, the current effective data quantity is recorded to be 80, when there are new 20 pieces of data added into the medical data table, the data value of 15 white blood cells is effective data, the effective data increment is 15, the updated effective data quantity is 95, and the filling rate of the field related to the white blood cells is updated based on the updated effective data quantity and the effective data increment.
According to the method and the device for calculating the filling rate of the medical data, the filling rate of the medical data can be calculated in real time by only persisting the number of the medical effective data values and not recording the total number of the medical data (such as the total number of patients), so that when the medical data is changed, the medical data in the medical data table is calculated, the rest invalid data is not required to be triggered again, the calculation range of the medical data is narrowed, and the calculation efficiency of the filling rate is improved.
Based on the above description, in the present exemplary embodiment, in response to a change in a medical data table in a medical item, a field in the medical data table in which the change has occurred is determined as a field to be counted, and the filling rate of the field to be counted is updated according to the data in which the change has occurred in the field to be counted. On the one hand, compared with the prior art that the filling rate is recalculated when the medical data is changed any time, the present exemplary embodiment provides a good strategy for calculating the filling rate of the medical data, so that the problem of wasting calculation resources caused by invalid data calculation is avoided; on the other hand, the filling rate of the field to be counted is updated by determining the field which is changed in the medical data table and according to the changed data in the field, so that the instantaneity of the filling rate calculation is improved, the calculation of meaningless fields is avoided, and the efficiency and the effectiveness of the medical data filling rate calculation are improved.
In an exemplary embodiment, after determining the field to be counted, the medical data processing method may further include the steps of:
step S310, determining the current stage of the medical project according to the operation log of the medical data table;
step S320, if the medical item is currently in the data entry stage, adding the field to be counted into a field cache pool;
step S330, when the accumulated number of the fields to be counted in the field cache pool reaches the first threshold, step S120 is executed to the fields to be counted in the field cache pool.
The operation log of the medical data table may include various operation actions on the medical data table, such as a data writing operation, a data query operation, a data browsing operation, a data modifying operation, a data using operation, or the like. Generally, a medical item can be divided into three phases, namely a data entry phase, an intermediate phase and a data use phase, wherein the data entry phase is a data acquisition or data collection process in the medical item, and in the process, medical data related to the medical item is acquired; the intermediate stage is a short data conversion stage from the end of the data input stage to the front of the data use stage; the data use stage is a stage in which researchers perform data analysis according to the collected data, and in the data use stage, the researchers can determine whether the medical project meets the expected standard or meets certain requirements according to the acquired medical data.
In an exemplary embodiment, the current stage of the medical item may be determined according to the operation log, and specifically, the step S310 may include the following steps:
step S410, counting the number of data change operations and the number of data use operations in the latest preset time in an operation log of the medical data table;
step S420, if the ratio of the number of data change operations to the number of data use operations is greater than a third threshold, determining that the medical item is currently in a data entry stage;
in step S430, if the ratio of the number of data change operations to the number of data use operations is less than the fourth threshold, it is determined that the medical item is currently in the data use phase.
The data change operation may be any operation that changes data in the medical data table, such as a writing operation, a modifying operation, or a deleting operation of the data, and the data use operation is an operation that performs analysis by the data in the medical data table, such as a data calculation operation, a data reference operation, or a data comparison operation. It is contemplated that during the data entry phase, the number of operations of the data change operation will be significantly higher than the number of operations of the data use operation, and during the data use phase, the number of operations of the data change operation will be significantly lower than the number of operations of the data use operation. Therefore, the current stage of the medical item can be determined by determining the ratio of the number of data changing operations to the number of data using operations, the third threshold is a determination condition for determining whether the medical item is in the data entry stage, the fourth threshold is a determination condition for determining whether the medical item is in the data using stage, in this exemplary embodiment, the third threshold and the fourth threshold may be set in a customized manner as required, and in particular, the higher the third threshold, the more obvious the degree that the number of data changing operations is higher than the number of data using operations, for example, the more obvious the third threshold is set to 1, even if the number of data changing operations is large, the more difficult it is to ensure that the current stage is in the data entry stage, and the higher the data changing operation is set to 1.5. The setting of the fourth threshold value is similar to the third threshold value, and the lower the setting of the fourth threshold value, the more obvious the degree to which the number of data change operations is lower than the number of data use operations, and the specific numerical value settings of the third threshold value and the fourth threshold value are not particularly limited herein.
In this exemplary embodiment, if the medical item is in the data entry stage, which indicates that the data in the current medical data table is not stable yet, in order to avoid frequent calculation of the filling rate by the system, the field to be counted may be added into the field cache pool, and after the accumulated number of the fields to be counted in the field cache pool reaches the first threshold, the field to be counted performs the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted.
In addition, other conditions for triggering and executing the filling rate calculation, such as a time condition, may be set in the field cache pool, and when the time of the field cache Chi Huancun exceeds a specific time, the filling rate of the fields contained therein may be uniformly calculated; or the weight of a field is cached, and when the weight of a field cached in the cache pool is higher than a certain degree, the calculation of the filling rate of the field can be triggered, and the disclosure is not limited in detail.
In an exemplary embodiment, the medical data processing method may further include:
if the medical item is currently in the data use phase, step S120 is performed through the asynchronous queue.
When the medical item is currently in the data use stage, the medical data in the current medical data table can be considered to be kept in a relatively stable state, and the filling rate of each field to be counted can be calculated through an asynchronous queue, namely the filling rates of a plurality of fields to be counted can be calculated at the same time. Particularly, in order to ensure the calculation efficiency during calculation, resources with different shares can be allocated to different fields to be counted, so that important fields to be counted can be calculated preferentially, and the analysis process of medical items is improved.
In an exemplary embodiment, the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through the asynchronous queue may include:
if the weight of the field to be counted is larger than a second threshold value, executing a step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through the first asynchronous queue;
if the weight of the field to be counted is smaller than a second threshold value, executing a step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through a second asynchronous queue;
wherein the resource allocation ratio of the first asynchronous queue is higher than that of the second asynchronous queue.
In order to effectively calculate the filling rate of each field to be counted, the field to be counted can be divided into a high-weight counting field, namely a more important field, and particularly, indexes of medical data related to medical projects, such as blood pressure, blood fat and leucocytes, can be related to the medical data with low correlation degree to the medical projects, such as patient name, identity card number, mobile phone number and the like, and can be regarded as a low-weight field. The high weight field and the low weight field may be determined by a second threshold, which in the present exemplary embodiment may be set in a customized manner according to actual needs, and because each medical item is different, the weight of the fields has a large difference, for example, in a medical item for researching diabetes, a relevant field of digestive tract ultrasound examination may be considered as a low weight field, and so on.
In this exemplary embodiment, after determining different weight types of the fields to be counted, the calculation of the filling rate may be performed through its corresponding asynchronous queue, where the first asynchronous queue may be used to update the filling rate of the fields to be counted with a higher weight, that is, the queue may be allocated with a higher resource quota, and the second asynchronous queue may be used to update the filling rate of the fields to be counted with a lower weight, that is, the queue may be allocated with a lower resource quota. By reasonably dividing the asynchronous queues of the fields to be counted of different types, the calculation efficiency of the filling rate of each field in the medical data table can be improved.
In an exemplary embodiment, the weights of the fields to be counted are determined by:
and determining the weight of the field to be counted through a preconfigured value network.
In the medical research scenario, the medical data included in the medical item is usually data under standard index or attribute, for example, most of the medical items are data related to blood examination of a patient or blood pressure examination, and the white blood cell value and the blood pressure value are universal standard fields in the medical item. The present exemplary embodiment may build a value network based on the standard fields, wherein the value network may include frequency of occurrence of a plurality of standard fields in the historical medical data, correlation with various diseases, importance degree in the disease treatment period, and the like. Based on the above, after determining the field to be counted, the information of occurrence frequency of the field to be counted, correlation with the current medical project and the like can be obtained from the value network to determine whether the field to be counted has higher value, and for the field to be counted with high frequency and strong correlation, higher weight is given, for example, in a certain medical project, the value of the field to be counted is lower, the weight is given, the heart rate, the blood pressure and the bone density are higher, the value of the field to be counted is higher, and the weight is given. In the present exemplary embodiment, the value network may be established based on medical data in addition to historical medical data, medical journals, medical systems, or other specific medical databases, and the like, which is not specifically limited by the present disclosure.
Fig. 5 shows a flowchart of another medical data processing method in the present exemplary embodiment, which may specifically include the following steps:
step S510, detecting whether a medical data table in a medical project is changed or not; if no change has occurred to the medical data table then the periodic execution of step S510 is continued,
step S520, if the medical data table is changed, determining a field which is changed in the medical data table as a field to be counted;
step S530, obtaining an operation log of the medical data table, and determining the current stage of the medical project according to the operation log; if the medical item is currently in the data use phase, then execute
Step S540, determining the weight of the field to be counted according to a preconfigured value network;
step S550, if the weight of the field to be counted is larger than a second threshold, executing calculation of the filling rate of the field to be counted through the first asynchronous queue;
step S560, if the weight of the field to be counted is smaller than the second threshold, executing calculation of the filling rate of the field to be counted through the second asynchronous queue;
in addition, after step S530, if the medical item is currently in the data entry stage, step S570 is performed to add the fields to be counted into the field cache pool;
Step S580, detecting whether the accumulated number of the fields to be counted in the field cache pool reaches a first threshold;
step S590, if the accumulated number reaches the first threshold, extracting the field to be counted in the field cache pool, and executing step S540 on the field to be counted; if the accumulated number does not reach the first threshold value, the accumulated number of fields to be counted in the field cache pool is detected continuously periodically.
According to the method and the device for calculating the filling rate of the medical data in the fields, the effective strategy for calculating the filling rate of the medical data in the fields is provided by judging the current stage of the medical project and distributing different weights for different fields according to the value network, so that the problem that the system wastes calculation resources due to the fact that invalid data are calculated is avoided, the calculation efficiency is improved, and a large amount of time is saved.
It should be noted that, in step S570, after the fields to be counted are added to the field buffer pool, in addition to step S580, when the fields to be counted are accumulated to a certain amount, the calculation of the filling rate of the fields to be counted can be triggered, and other conditions of triggering the calculation of the filling rate of the fields to be counted in the buffer pool can be also used, for example, through user behavior analysis, medical data in the buffer pool enter a functional module and are used by a user in advance, and the calculation of the filling rate of a trigger can also be triggered.
Exemplary embodiments of the present disclosure also provide a medical data processing apparatus. Referring to fig. 6, the apparatus 600 may include a determining module 610 configured to determine, in response to a change in a medical data table in a medical item, a field in the medical data table in which the change occurred as a field to be counted; and the updating module 620 is configured to update the filling rate of the field to be counted according to the changed data in the field to be counted.
In one exemplary embodiment of the present disclosure, the update module includes: the quantity acquisition unit is used for acquiring the current effective data quantity of the field to be counted; the increment determining unit is used for determining the effective data increment of the field to be counted according to the changed data in the field to be counted; and the filling rate updating unit is used for updating the filling rate of the field to be counted according to the current effective data quantity and the effective data increment of the field to be counted.
In one exemplary embodiment of the present disclosure, the medical data processing apparatus may further include: the phase determining module is used for determining the current phase of the medical project according to the operation log of the medical data table after determining the field to be counted; the first judging module is used for adding the fields to be counted into the field cache pool if the medical item is currently in the data entry stage; and when the accumulated number of the fields to be counted in the field cache pool reaches a first threshold, executing the step of updating the filling rate of the fields to be counted according to the changed data in the fields to be counted.
In one exemplary embodiment of the present disclosure, the medical data processing apparatus may further include: and the second judging module is used for executing the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through the asynchronous queue if the medical item is currently in the data use stage.
In an exemplary embodiment of the present disclosure, the second determining module may include: the weight judging unit is used for executing the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through the first asynchronous queue if the weight of the field to be counted is larger than the second threshold value; and if the weight of the field to be counted is smaller than a second threshold value, executing a step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through a second asynchronous queue; wherein the resource allocation ratio of the first asynchronous queue is higher than that of the second asynchronous queue.
In one exemplary embodiment of the present disclosure, the weights of the fields to be counted may be determined by: and determining the weight of the field to be counted through a preconfigured value network.
In one exemplary embodiment of the present disclosure, the stage determination module may include: the frequency counting unit is used for counting the frequency of data change operation and the frequency of data use operation in the latest preset time in the operation log of the medical data table; the number judgment unit is used for determining that the medical item is currently in the data input stage if the ratio of the number of data change operations to the number of data use operations is greater than a third threshold value; and if the ratio of the number of data altering operations to the number of data using operations is less than a fourth threshold, determining that the medical item is currently in a data using stage.
The specific details of each module/unit in the above apparatus are already described in the embodiments of the method section, and the details not disclosed can be found in the embodiments of the method section, so that they will not be described here again.
The exemplary embodiments of the present disclosure also provide an electronic device capable of implementing the above method.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 700 according to such an exemplary embodiment of the present disclosure is described below with reference to fig. 7. The electronic device 700 shown in fig. 7 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 7, the electronic device 700 is embodied in the form of a general purpose computing device. Components of electronic device 700 may include, but are not limited to: the at least one processing unit 710, the at least one storage unit 720, a bus 730 connecting the different system components (including the storage unit 720 and the processing unit 710), and a display unit 740.
Wherein the storage unit stores program code that is executable by the processing unit 710 such that the processing unit 710 performs steps according to various exemplary embodiments of the present disclosure described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 710 may execute steps S110 to S120 shown in fig. 1, may execute steps S210 to S230 shown in fig. 2, or the like.
The memory unit 720 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 721 and/or cache memory 722, and may further include Read Only Memory (ROM) 723.
The storage unit 720 may also include a program/utility 724 having a set (at least one) of program modules 725, such program modules 725 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 730 may be a bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 700 may also communicate with one or more external devices 900 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 700, and/or any device (e.g., router, modem, etc.) that enables the electronic device 700 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 750. Also, electronic device 700 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through network adapter 760. As shown, network adapter 760 communicates with other modules of electronic device 700 over bus 730. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 700, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solutions according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the exemplary embodiments of the present disclosure.
Exemplary embodiments of the present disclosure also provide a computer readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
Referring to fig. 8, a program product 800 for implementing the above-described method according to an exemplary embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with exemplary embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. A medical data processing method, comprising:
in response to a change of a medical data table in a medical project, determining a field of the medical data table, which is changed, as a field to be counted, wherein the change of the medical data table comprises adding new medical data in the medical data table, deleting the medical data in the medical data table, modifying the data of the current medical data table or replacing the medical data in the current medical data table;
updating the filling rate of the field to be counted according to the changed data in the field to be counted, wherein the filling rate is used for determining whether the medical data in the medical project is perfect or not;
wherein, the updating the filling rate of the field to be counted according to the changed data in the field to be counted includes:
acquiring the current effective data quantity of the field to be counted;
determining the effective data increment of the field to be counted according to the changed data in the field to be counted;
And updating the filling rate of the field to be counted according to the current effective data quantity and the effective data increment of the field to be counted.
2. The method of claim 1, wherein after determining the field to be counted, the method further comprises:
determining the current stage of the medical project according to the operation log of the medical data table;
if the medical item is currently in the data entry stage, adding the field to be counted into a field cache pool;
when the accumulated number of the fields to be counted in the field cache pool reaches a first threshold, executing a step of updating the filling rate of the fields to be counted according to changed data in the fields to be counted for the fields to be counted in the field cache pool.
3. The method according to claim 2, wherein the method further comprises:
and if the medical item is currently in the data use stage, executing the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through an asynchronous queue.
4. A method according to claim 3, wherein the step of updating the filling rate of the field to be counted according to the changed data in the field to be counted is performed through an asynchronous queue, and comprises:
If the weight of the field to be counted is larger than a second threshold value, executing a step of updating the filling rate of the field to be counted according to changed data in the field to be counted through a first asynchronous queue;
if the weight of the field to be counted is smaller than the second threshold value, executing a step of updating the filling rate of the field to be counted according to the changed data in the field to be counted through a second asynchronous queue;
wherein the first asynchronous queue has a higher resource allocation ratio than the second asynchronous queue.
5. The method of claim 4, wherein the weights of the fields to be counted are determined by:
and determining the weight of the field to be counted through a preconfigured value network.
6. The method of claim 2, wherein the determining the current stage of the medical item based on the operation log of the medical data table comprises:
counting the number of data change operations and the number of data use operations in the latest preset time in an operation log of the medical data table;
if the ratio of the number of data altering operations to the number of data using operations is greater than a third threshold, determining that the medical item is currently in a data entry stage;
If the ratio of the number of data altering operations to the number of data using operations is less than a fourth threshold, it is determined that the medical item is currently in a data using phase.
7. A medical data processing apparatus, comprising:
the medical data table is used for receiving medical data from a user, and the medical data table is used for receiving medical data from the user and is used for receiving medical data from the user;
the updating module is used for updating the filling rate of the field to be counted according to the changed data in the field to be counted, and the filling rate is used for determining whether the medical data in the medical project are perfect or not;
an update module configured to:
acquiring the current effective data quantity of the field to be counted; determining the effective data increment of the field to be counted according to the changed data in the field to be counted; and updating the filling rate of the field to be counted according to the current effective data quantity and the effective data increment of the field to be counted.
8. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-6 via execution of the executable instructions.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1-6.
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