Hospital data processing method, device, equipment, medium and program product

Abstract

The embodiment of the invention discloses a hospital data processing method and device, equipment, a medium and a program product. According to one specific embodiment, the method comprises the steps that pre-configured hospital data extraction information is obtained, and the hospital data extraction information represents data content to be subjected to hospital data extraction; in response to determining to execute the data extraction operation for the hospital data extraction information, extracting a hospital extraction data set corresponding to the hospital data extraction information from a hospital system; acquiring data approval information corresponding to the hospital extraction data set; in response to determining that the data approval information represents that the hospital extraction data set passes the approval, sending the hospital extraction data set to a hospital data processing end to execute hospital data processing to obtain a hospital data processing result; and displaying the hospital data processing result on the target hospital system page. The implementation mode is related to hospital system data processing, and data processing and data visualization can be quickly and efficiently carried out on the extracted hospital data set.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the fields of smart medical care and big data technology, and specifically to hospital data processing methods, devices, equipment, media and program products. Background Art

[0002] At present, with the continuous development of the big data era, hospital system data in the medical field has become one of the important assets. How to process and display hospital data is crucial. For the processing and display of hospital data, the usual method is to develop corresponding customized hospital data processing logic for the hospital system to process the various hospital data in the hospital system in the back end.

[0003] However, the inventors have found that when the above method is adopted, the following technical problems often occur:

[0004] Different hospital systems correspond to different hospital data processing logics, and all require customized development, resulting in high development costs and high maintenance costs.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the invention

[0006] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0007] Some embodiments of the present disclosure propose hospital data processing methods, devices, equipment, media and program products to solve the technical problems mentioned in the above background technology section.

[0008] In a first aspect, some embodiments of the present disclosure provide a hospital data processing method, including: obtaining pre-configured hospital data extraction information, wherein the hospital data extraction information represents data content to be subjected to hospital data extraction; in response to determining to execute a data extraction operation for the hospital data extraction information, extracting a hospital extraction data set corresponding to the hospital data extraction information from a hospital system; obtaining data approval information corresponding to the hospital extraction data set; in response to determining that the data approval information represents that the hospital extraction data set has passed approval, sending the hospital extraction data set to a hospital data processing terminal to execute hospital data processing to obtain a hospital data processing result; and displaying the hospital data processing result on a target hospital system page.

[0009] Optionally, the above method also includes: in response to determining the configuration execution information of at least one medical data indicator on the above target hospital system page, generating at least one medical indicator content corresponding to the above at least one medical data indicator according to the above hospital data processing results; and displaying the above at least one medical indicator content on the above target hospital system page.

[0010] Optionally, the above-mentioned extraction of a hospital extraction data set corresponding to the above-mentioned hospital data extraction information from the hospital system includes: in response to the data extraction for the above-mentioned hospital data extraction information being the first extraction, determining the number of batch data extractions; determining a first data extraction batch set according to the above-mentioned number of batch data extractions; extracting the data groups under each first data extraction batch for the above-mentioned hospital data extraction information from the above-mentioned hospital system to obtain a hospital extraction data set.

[0011] Optionally, the above method also includes: in response to the data extraction for the above hospital data extraction information being not the first extraction, determining a data extraction time period; determining a second data extraction batch set based on the above data extraction time period; extracting data groups under each second data extraction batch for the above hospital data extraction information from the above hospital system to obtain a hospital extraction data set.

[0012] Optionally, the above-mentioned obtaining of data approval information corresponding to the above-mentioned hospital extracted data set includes: determining a storage table corresponding to the above-mentioned hospital data extraction information; storing each data in the above-mentioned hospital extracted data set into the above-mentioned storage table to obtain a storage data table; and displaying the above-mentioned storage data table on a hospital approval page to obtain the data approval information corresponding to the above-mentioned hospital extracted data set.

[0013] Optionally, the hospital extracted data set is sent to the hospital data processing end to perform hospital data processing and obtain hospital data processing results, including: adding the data approval information to the hospital extracted data set to obtain a first added data set as a hospital extracted data set; sending the hospital extracted data set to the hospital data processing end to perform hospital data processing and obtain hospital data processing results.

[0014] Optionally, the hospital data processing end includes: a hospital data verification end and a hospital data processing end; and the hospital data processing result is generated by the following steps: using the hospital data verification end, executing the following first generation step: performing data verification processing on the hospital extracted data set in at least one data verification direction to obtain a hospital data verification result; in response to determining that the hospital data verification result indicates that the verification has been passed, adding business fields to each data in the hospital extracted data set to generate a second added data set; using the hospital data processing end, executing the following second generation step: executing table creation and storage processing for the second added data set to obtain each data table; obtaining a pre-configured hospital data processing model; using the hospital data processing model, performing preliminary data processing on the data in each of the data tables according to the corresponding business fields to obtain a processed data set; performing data stratification processing on the processed data set to obtain the hospital data processing result.

[0015] In a second aspect, some embodiments of the present disclosure provide a data processing result display device, comprising: a first acquisition unit, configured to acquire pre-configured hospital data extraction information, wherein the hospital data extraction information represents the data content to be subjected to hospital data extraction; an extraction unit, configured to extract a hospital extraction data set corresponding to the hospital data extraction information from a hospital system in response to determining to execute a data extraction operation for the hospital data extraction information; a second acquisition unit, configured to acquire data approval information corresponding to the hospital extraction data set; a sending unit, configured to send the hospital extraction data set to a hospital data processing terminal in response to determining that the data approval information represents that the hospital extraction data set has passed the approval, so as to execute hospital data processing and obtain a hospital data processing result; and a display unit, configured to display the hospital data processing result on a target hospital system page.

[0016] Optionally, the device also includes: in response to determining configuration execution information of at least one medical data indicator on the above-mentioned target hospital system page, generating at least one medical indicator content corresponding to the above-mentioned at least one medical data indicator according to the above-mentioned hospital data processing results; and displaying the above-mentioned at least one medical indicator content on the above-mentioned target hospital system page.

[0017] Optionally, the extraction unit can be configured to: determine the number of batch data extractions in response to the data extraction for the above-mentioned hospital data extraction information being the first extraction; determine the first data extraction batch set based on the above-mentioned batch data extraction number; extract the data group under each first data extraction batch for the above-mentioned hospital data extraction information from the above-mentioned hospital system to obtain the hospital extraction data set.

[0018] Optionally, the device also includes: in response to the data extraction for the above-mentioned hospital data extraction information being not the first extraction, determining a data extraction time period; determining a second data extraction batch set based on the above-mentioned data extraction time period; extracting data groups under each second data extraction batch for the above-mentioned hospital data extraction information from the above-mentioned hospital system to obtain a hospital extraction data set.

[0019] Optionally, the second acquisition unit can be configured to: determine the storage table corresponding to the above-mentioned hospital data extraction information; store each data in the above-mentioned hospital extracted data set into the above-mentioned storage table to obtain a storage data table; display the above-mentioned storage data table on the hospital approval page to obtain the data approval information corresponding to the above-mentioned hospital extracted data set.

[0020] Optionally, the sending unit can be configured to: add the above-mentioned data approval information to the above-mentioned hospital extracted data set to obtain a first added data set as a hospital extracted data set; send the hospital extracted data set to the hospital data processing end to perform hospital data processing to obtain a hospital data processing result.

[0021] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation manner in the first aspect.

[0022] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner in the first aspect is implemented.

[0023] In a fifth aspect, some embodiments of the present disclosure provide a computer program product, including a computer program, which implements the method described in any implementation manner in the above-mentioned first aspect when executed by a processor.

[0024] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: through the hospital data processing method of some embodiments of the present disclosure, the extracted hospital data set can be quickly and efficiently processed and visualized. Specifically, the reason for the low efficiency of the relevant hospital data processing is that: a corresponding customized hospital data processing logic is developed for the hospital system to perform corresponding processing on each hospital data in the hospital system at the back end. Based on this, the hospital data processing method of some embodiments of the present disclosure first obtains pre-configured hospital data extraction information. Among them, the above-mentioned hospital data extraction information represents the data content to be extracted from the hospital data. Here, the hospital data extraction information is obtained to facilitate the clear acquisition of hospital data under which characteristics are extracted, which is convenient for subsequent hospital data extraction. In addition, through the pre-configuration method, it is easy to understand the needs of hospital data extraction and facilitate hospital data extraction. Then, in response to determining to perform a data extraction operation for the above-mentioned hospital data extraction information, the hospital extraction data set corresponding to the above-mentioned hospital data extraction information can be extracted from the hospital system in real time and efficiently. Next, the data approval information corresponding to the above-mentioned hospital extraction data set is obtained. Here, by setting up a data approval link, the legality of the acquisition of the hospital extracted data set is guaranteed to avoid the suspicion of hospital data privacy infringement. Furthermore, in response to determining that the above-mentioned data approval information indicates that the above-mentioned hospital extracted data set has passed the approval, the above-mentioned hospital extracted data set is sent to the hospital data processing terminal to perform hospital data processing and obtain the hospital data processing result. Here, by sending the hospital extracted data set to the hospital data processing terminal, the effective extraction of hospital data is achieved, avoiding the corresponding data processing logic of self-development. Effective processing of hospital data is achieved through an external hospital data processing terminal. Finally, the above-mentioned hospital data processing results are displayed on the target hospital system page. In summary, the data approval verification of the hospital extracted data set is used to avoid the occurrence of data privacy infringement. In addition, through the external hospital data processing terminal, it is possible to achieve quick and efficient processing of the hospital extracted data set without implementing customized data processing development logic. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0026] Figure 1 is a schematic diagram of an application scenario of a hospital data processing method according to some embodiments of the present disclosure;

[0027] Figure 2 is a flow chart of some embodiments of the hospital data processing method according to the present disclosure;

[0028] Figure 3 are flow charts of other embodiments of the hospital data processing method according to the present disclosure;

[0029] Figure 4 is a schematic diagram of the structure of some embodiments of the hospital data processing device according to the present disclosure;

[0030] Figure 5 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0031] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0032] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0033] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0034] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0035] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0036] With regard to the collection, storage, and use of user personal information (such as hospital data extraction information and data approval information) involved in this disclosure, before performing the corresponding operations, the relevant organizations or individuals shall fulfill their obligations, including conducting personal information security impact assessments, fulfilling the obligation to inform the personal information subject, and obtaining the authorization and consent of the personal information subject in advance.

[0037] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0038] Figure 1 It is a schematic diagram of an application scenario of the hospital data processing method according to some embodiments of the present disclosure.

[0039] exist Figure 1 In the application scenario, first, the electronic device 101 can obtain the pre-configured hospital data extraction information 103. Among them, the above-mentioned hospital data extraction information 103 represents the data content to be subjected to hospital data extraction. In this application scenario, the hospital data extraction information 103 may include: "extraction field", "extraction time", "hospital database", "hospital data table". Then, in response to determining to perform a data extraction operation on the above-mentioned hospital data extraction information 103, the electronic device 101 can extract a hospital extraction data set 104 corresponding to the above-mentioned hospital data extraction information 103 from the hospital system 102. In this application scenario, the hospital system 102 can be the business system corresponding to the target hospital. Next, the electronic device 101 can obtain the data approval information 105 corresponding to the above-mentioned hospital extraction data set 104. In this application scenario, the data approval information 105 can be hospital approval information. Furthermore, in response to determining that the data approval information 105 indicates that the hospital extracted data set 104 has passed the approval, the electronic device 101 may send the hospital extracted data set 104 to the hospital data processing terminal 106 to perform hospital data processing and obtain a hospital data processing result 107. Finally, the electronic device 101 may display the hospital data processing result 107 on the target hospital system page.

[0040] It should be noted that the electronic device 101 can be hardware or software. When the electronic device is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or it can be implemented as a single server or a single terminal device. When the electronic device is embodied as software, it can be installed in the hardware devices listed above. It can be implemented as multiple software or software modules for providing distributed services, for example, or it can be implemented as a single software or software module. No specific limitation is made here.

[0041] It should be understood that Figure 1 The number of electronic devices in the embodiment is only for illustration. Any number of electronic devices may be provided according to implementation requirements.

[0042] Continue to refer Figure 2 , shows a process 200 of some embodiments of the hospital data processing method according to the present disclosure. The hospital data processing method comprises the following steps:

[0043] Step 201, obtaining pre-configured hospital data extraction information.

[0044] In some embodiments, the execution subject of the above hospital data processing method (for example Figure 1The electronic device 101 shown can obtain pre-configured hospital data extraction information through a wired connection or a wireless connection. Among them, the above-mentioned hospital data extraction information represents the data content to be extracted from the hospital data. That is, the hospital data extraction information can represent the extraction content to be extracted from the hospital data. The hospital data extraction information can be configurable information. In practice, the hospital data extraction information can be the extraction information representing how the hospital data content is to be extracted, which is configured on the front-end page of the hospital system. The hospital data extraction information can be configured by dragging and dropping on the front-end page, or it can be configured in the form of text input. That is, the data extraction information can be the data content to be extracted from the hospital data set. That is, according to the data extraction information, the required hospital data subset is extracted from the hospital data set. The hospital data set here can be a data set generated in the diagnosis and treatment service and stored in the business system. The hospital data set can include: pre-visit service data, registration data, prescription data, drug purchase data, and basic data. For example, the data extraction information can include: "hospital database", "hospital data table", "hospital data field", "data extraction time".

[0045] Step 202, in response to determining to perform a data extraction operation on the hospital data extraction information, extracting a hospital extraction data set corresponding to the hospital data extraction information from a hospital system.

[0046] In some embodiments, in response to determining to perform a data extraction operation for the hospital data extraction information, the execution subject may extract a hospital extraction data set corresponding to the hospital data extraction information from a hospital system. The hospital system may be a business end storing various business data. For example, various business data may be diagnosis and treatment data under various departments. The hospital extraction data set may be a corresponding hospital data subset extracted from a hospital data set in the hospital system.

[0047] As an example, the execution subject may determine whether the current time reaches the data extraction time. In response to determining that the current time reaches the data extraction time, the data extraction operation for the hospital data extraction information is performed. In response to determining that the current time does not reach the data extraction time, the data extraction operation is performed after the waiting time reaches the data extraction time.

[0048] In some optional implementations of some embodiments, the execution subject may extract a hospital extraction data set corresponding to the hospital data extraction information from a hospital system, including the following steps:

[0049] In the first step, in response to the data extraction for the data extraction information of the hospital being the first extraction, the number of batch data extractions is determined. The first extraction may represent the first use of the data extraction information for data extraction. The number of batch data extractions may be the maximum number of data for data extraction in a batch. The number of batch data extractions may be the maximum number of extractions for data extraction in a batch. For example, the number of batch data extractions may be 5. The maximum number of data extractions for a batch is 5. The number of batch data extractions may be a value preset according to the load balancing of the hospital system.

[0050] The second step is to determine the first data extraction batch set based on the above batch data extraction number.

[0051] As an example, the execution subject may group data according to the order of data identification, so as to take the batch data extraction number identification as a first data extraction batch to obtain a first data extraction batch set. The data identification may be the table identification to be written.

[0052] The third step is to extract the data group under each first data extraction batch of the hospital data extraction information from the hospital system to obtain the hospital extraction data set.

[0053] As an example, the execution entity may extract the data group under each first data extraction batch of the hospital data extraction information from the data extraction table (ie, storage table) in the business system to obtain the hospital extraction data set.

[0054] In some optional implementations of some embodiments, the steps further include:

[0055] The first step is to determine a data extraction time period in response to the data extraction of the hospital data extraction information being not the first extraction. The data extraction time period may be a time period for extracting hospital data. The data extraction time period may include: a start extraction time and an end extraction time.

[0056] The second step is to determine the second data extraction batch set based on the above data extraction time period.

[0057] As an example, first, the execution subject may divide the data extraction time period into time periods according to a predetermined time length to generate various time periods, and then take each time period in the various time periods as a data extraction batch, as a second data extraction batch, to obtain a second data extraction batch set.

[0058] As another example, first, the execution subject may receive time period division information for artificially dividing the data extraction time period, so as to obtain each time period subsequently. Then, each time period in each time period is used as a data extraction batch, as a second data extraction batch, to obtain a second data extraction batch set.

[0059] The third step is to extract the data group under each second data extraction batch for the above hospital data extraction information from the above hospital system to obtain the hospital extraction data set.

[0060] As an example, the execution entity may extract the data group under each second data extraction batch of the hospital data extraction information from the data extraction table (ie, storage table) in the hospital system to obtain a hospital extraction data set.

[0061] Step 203, obtaining data approval information corresponding to the hospital extracted data set.

[0062] In some embodiments, the execution entity may obtain data approval information corresponding to the hospital extracted data set. The data approval information may be the data approval result after data content approval of each hospital data in the hospital extracted data set. The approval direction corresponding to the data content approval may be preset. For example, the approval direction corresponding to the data content approval may include: data sensitivity approval, data correctness approval, data volume approval, and data byte size approval. The data approval information may include: information indicating that the hospital extracted data set has passed the approval, and information indicating that the hospital extracted data set has not passed the approval.

[0063] It should be noted that each at least one hospital extracted data may have a corresponding approval result. Each at least one hospital extracted data here may be a group of hospital extracted data. Each approval result is combined into approval information.

[0064] As an example, the execution subject may generate a model using at least one data approval information to determine at least one data approval information of the hospital's extracted data set under data sensitivity approval, data correctness approval, data volume approval, and data byte size approval. The at least one data approval information may include: data approval information under data sensitivity approval, data approval information under data volume approval, data approval information under data correctness approval, and data approval information under data byte size approval.

[0065] In some optional implementations of some embodiments, the execution entity may obtain the data approval information corresponding to the hospital extracted data set, including the following steps:

[0066] The first step is to determine the storage table corresponding to the above hospital data extraction information. Among them, the storage table can be a table for storing hospital extracted data sets. That is, the hospital extracted data sets extracted subsequently will be stored in the storage table. In addition, the storage table includes various extraction features to be extracted. The backend can extract data through the extraction features of each hospital corresponding to the storage table. The storage table contains the identifiers corresponding to the extracted data of each hospital. For the first data extraction, the identifier of the corresponding hospital data can be the table identifier of the data in the storage table.

[0067] The second step is to store each data in the hospital extracted data set into the storage table to obtain a storage data table.

[0068] The third step is to display the above-mentioned stored data table on the hospital approval page to obtain the data approval information corresponding to the above-mentioned hospital extracted data set. Among them, the hospital approval page can be a page for hospital data approval in the hospital system. In practice, data approval can be data sensitivity approval or data confidentiality approval. The corresponding approval content is different for specific scenarios.

[0069] Step 204, in response to determining that the data approval information indicates that the hospital extracted data set has passed approval, the hospital extracted data set is sent to a hospital data processing terminal to perform hospital data processing to obtain a hospital data processing result.

[0070] In some embodiments, in response to determining that the data approval information indicates that the hospital extracted data set has passed the approval, the execution subject may send the hospital extracted data set to a hospital data processing end to perform hospital data processing and obtain a hospital data processing result. The hospital data processing end may be a data end that performs various data processing on each extracted hospital extracted data. The hospital data processing result may be a processing result after processing each hospital extracted data.

[0071] In some optional implementations of some embodiments, the execution subject may send the hospital extracted data set to a hospital data processing terminal to perform hospital data processing to obtain a hospital data processing result, including the following steps:

[0072] The first step is to add the above data approval information to the above hospital extracted data set to obtain a first added data set as the hospital extracted data set.

[0073] The second step is to send the hospital extracted data set to the hospital data processing end for hospital data processing to obtain hospital data processing results. For example, the hospital data processing end can be a big data processing platform. In practice, the data processing platform can support various hospital data operations in the medical field corresponding to the hospital extracted data set to meet the diversified processing needs of hospital data.

[0074] In some optional implementations of some embodiments, the above-mentioned data processing end includes: a hospital data verification end and a hospital data processing end. Among them, the hospital data verification end can perform various data verifications on the hospital data and mark the matching processing services. In practice, various data verifications may include: data integrity verification, data correctness verification, and data value verification. The processing business can be a mark of a business field, that is, a characterization of which business data is suitable for business operations. For example, for data that is target hospital facial data, the corresponding business field can be a doctor facial recognition task field. Correspondingly, when executing the doctor facial recognition task, the target hospital facial data can be called. The hospital data processing end can be an end that performs various processing on the hospital data.

[0075] Optionally, the above hospital data processing result is generated by the following steps:

[0076] The first step is to use the above hospital data verification terminal to perform the following first generation step:

[0077] Sub-step 1, performing data verification processing in at least one data verification direction on the hospital extracted data set to obtain the hospital data verification result. Wherein, each data verification direction in the at least one data verification direction has a corresponding data verification processing logic. For example, the at least one data verification direction includes: data integrity verification direction, data correctness verification direction, and data value verification direction.

[0078] Sub-step 2: in response to determining that the hospital data verification result indicates that the data has passed the verification, business fields are added to each data in the hospital extracted data set to generate a second added data set.

[0079] The second step is to use the above hospital data processing terminal to perform the following second generation step:

[0080] Sub-step 1, executing table creation and database storage processing for the second added data set to obtain various data tables. The table creation and database storage processing may be to create a corresponding table and write the table containing the data into a database.

[0081] As an example, first, the execution subject may establish a business table corresponding to each business field in each business field to obtain each business table. Then, according to the business field corresponding to each second added data, each data in the second added data set is added to each business table to obtain each data table. In addition, the database corresponding to each data table is determined.

[0082] Sub-step 2, obtaining a pre-configured hospital data processing model. The hospital data processing model may be a model for performing various processing operations on data. For example, the data processing model may be a data processing method corresponding to hiveSql, or a data processing method corresponding to sparkSql.

[0083] Sub-step 3: using the hospital data processing model, perform preliminary data processing on the data in the above data tables to obtain a processed data set.

[0084] Sub-step 4: performing data stratification processing on the above-mentioned processed data set to obtain the above-mentioned hospital data processing result.

[0085] As an example, the execution entity may perform data stratification processing on the processed data set according to the data stratification form of the detail data layer, the basic data layer and the service data layer in the data warehouse to obtain the hospital data processing result.

[0086] Step 205: Display the above hospital data processing results on the target hospital system page.

[0087] In some embodiments, the execution entity may display the hospital data processing result on a target hospital system page, wherein the target hospital system page may be a page in the hospital system for visualizing the data processing result.

[0088] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: through the hospital data processing method of some embodiments of the present disclosure, the extracted hospital data set can be quickly and efficiently processed and visualized. Specifically, the reason for the low efficiency of the relevant hospital data processing is that: a corresponding customized hospital data processing logic is developed for the hospital system to perform corresponding processing on each hospital data in the hospital system at the back end. Based on this, the hospital data processing method of some embodiments of the present disclosure first obtains pre-configured hospital data extraction information. Among them, the above-mentioned hospital data extraction information represents the data content to be extracted from the hospital data. Here, the hospital data extraction information is obtained to facilitate the clear acquisition of hospital data under which characteristics are extracted, which is convenient for subsequent hospital data extraction. In addition, through the pre-configuration method, it is easy to understand the needs of hospital data extraction and facilitate hospital data extraction. Then, in response to determining to perform a data extraction operation for the above-mentioned hospital data extraction information, the hospital extraction data set corresponding to the above-mentioned hospital data extraction information can be extracted from the hospital system in real time and efficiently. Next, the data approval information corresponding to the above-mentioned hospital extraction data set is obtained. Here, by setting up a data approval link, the legality of the acquisition of the hospital extracted data set is guaranteed to avoid the suspicion of hospital data privacy infringement. Furthermore, in response to determining that the above-mentioned data approval information indicates that the above-mentioned hospital extracted data set has passed the approval, the above-mentioned hospital extracted data set is sent to the hospital data processing terminal to perform hospital data processing and obtain the hospital data processing result. Here, by sending the hospital extracted data set to the hospital data processing terminal, the effective extraction of hospital data is achieved, avoiding the corresponding data processing logic of self-development. Effective processing of hospital data is achieved through an external hospital data processing terminal. Finally, the above-mentioned hospital data processing results are displayed on the target hospital system page. In summary, the data approval verification of the hospital extracted data set is used to avoid the occurrence of data privacy infringement. In addition, through the external hospital data processing terminal, it is possible to achieve quick and efficient processing of the hospital extracted data set without implementing customized data processing development logic.

[0089] Further references Figure 3 , shows a process 300 of another embodiment of the hospital data processing method according to the present disclosure. The hospital data processing method comprises the following steps:

[0090] Step 301, obtaining pre-configured hospital data extraction information.

[0091] Step 302, in response to determining to perform a data extraction operation on the hospital data extraction information, extracting a hospital extraction data set corresponding to the hospital data extraction information from a hospital system.

[0092] Step 303: Obtain data approval information corresponding to the hospital extracted data set.

[0093] Step 304, in response to determining that the data approval information indicates that the hospital extracted data set has passed approval, the hospital extracted data set is sent to a hospital data processing terminal to perform data processing to obtain a hospital data processing result.

[0094] Step 305: Display the above hospital data processing results on the target hospital system page.

[0095] In some embodiments, the specific implementation of steps 301-305 and the technical effects thereof can be referred to in Figure 2 The steps 201-205 in the corresponding embodiment are not described in detail here.

[0096] Step 306, in response to determining to perform configuration execution information of at least one medical data indicator on the target hospital system page, generating at least one medical indicator content corresponding to the at least one medical data indicator according to the hospital data processing result.

[0097] In some embodiments, in response to determining to perform configuration execution information of at least one medical data indicator on the target hospital system page, the execution subject (eg Figure 1 The electronic device 101 shown) can generate at least one medical indicator content corresponding to the at least one medical data indicator according to the hospital data processing result. The medical data indicator can be an indicator of the indicator content to be determined. The configuration execution information can be a request information for determining the indicator content. There is a one-to-one correspondence between the medical data indicators in the at least one medical data indicator and the medical indicator content in the at least one medical indicator content. The at least one medical data indicator can be various data indicators generated by performing various calculations or combinations based on various data features corresponding to the hospital extracted data set.

[0098] Step 307: Display the at least one medical indicator content on the target hospital system page.

[0099] In some embodiments, the execution entity may display the at least one medical indicator content on the target hospital system page.

[0100] from Figure 3 It can be seen that Figure 2 Compared with the description of some corresponding embodiments, Figure 3 The process 300 of the hospital data processing method in some corresponding embodiments realizes the configuration of data indicators and the determination of the corresponding contents of data indicators in a simple and effective manner to meet the diversified processing of data.

[0101] Further references Figure 4As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a hospital data processing device. These device embodiments are similar to Figure 2 Corresponding to the method embodiments shown, the hospital data processing device can be specifically applied to various electronic devices.

[0102] like Figure 4 As shown, a hospital data processing device 400 includes: a first acquisition unit 401, an extraction unit 402, a second acquisition unit 403, a sending unit 404 and a display unit 405. The first acquisition unit 401 is configured to acquire pre-configured hospital data extraction information, wherein the hospital data extraction information represents the data content to be extracted from the hospital data; the extraction unit 402 is configured to extract a hospital extraction data set corresponding to the hospital data extraction information from the hospital system in response to determining to perform a data extraction operation for the hospital data extraction information; the second acquisition unit 403 is configured to acquire data approval information corresponding to the hospital extraction data set; the sending unit 404 is configured to send the hospital extraction data set to the hospital data processing end in response to determining that the data approval information represents that the hospital extraction data set has passed the approval, so as to perform hospital data processing and obtain the hospital data processing result; the display unit 405 is configured to display the hospital data processing result on the target hospital system page.

[0103] In some optional implementations of some embodiments, the device 400 further includes: a generation unit and a content display unit (not shown in the figure). The generation unit may be configured to: in response to determining the configuration execution information of at least one medical data indicator on the target hospital system page, generate at least one medical indicator content corresponding to the at least one medical data indicator according to the hospital data processing result. The content display unit may be configured to: display the at least one medical indicator content on the target hospital system page.

[0104] In some optional implementations of some embodiments, the extraction unit 402 can be further configured to: in response to the data extraction for the above-mentioned hospital data extraction information being the first extraction, determine the number of batch data extractions; determine the first data extraction batch set based on the above-mentioned batch data extraction number; extract the data group under each first data extraction batch for the above-mentioned hospital data extraction information from the above-mentioned hospital system to obtain a hospital extraction data set.

[0105] In some optional implementations of some embodiments, the extraction unit 402 can be further configured to: determine a data extraction time period in response to the data extraction for the above-mentioned hospital data extraction information being not the first extraction; determine a second data extraction batch set based on the above-mentioned data extraction time period; extract data groups under each second data extraction batch for the above-mentioned hospital data extraction information from the above-mentioned hospital system to obtain a hospital extraction data set.

[0106] In some optional implementations of some embodiments, the second acquisition unit 403 can be further configured to: determine the storage table corresponding to the above-mentioned hospital data extraction information; store each data in the above-mentioned hospital extraction data set into the above-mentioned storage table to obtain a storage data table; display the above-mentioned storage data table on the hospital approval page to obtain the data approval information corresponding to the above-mentioned hospital extraction data set.

[0107] In some optional implementations of some embodiments, the sending unit 404 can be further configured to: add the above-mentioned data approval information to the above-mentioned hospital extracted data set to obtain a first added data set as a hospital extracted data set; send the hospital extracted data set to the hospital data processing end to perform hospital data processing to obtain a hospital data processing result.

[0108] It is understandable that the units recorded in the data processing result display device 400 are similar to the reference Figure 2 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the data processing result display device 400 and the units included therein, and will not be described in detail here.

[0109] Reference below Figure 5 , which shows an electronic device (eg, Figure 1 Schematic diagram of the structure of the electronic device 101)500. Figure 5 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0110] like Figure 5 As shown, the electronic device 500 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory 502 or a program loaded from a storage device 508 to a random access memory 503. Various programs and data required for the operation of the electronic device 500 are also stored in the random access memory 503. The processing device 501, the read-only memory 502, and the random access memory 503 are connected to each other via a bus 504. An input / output interface 505 is also connected to the bus 504.

[0111] Typically, the following devices may be connected to the input / output interface 505: an input device 506 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 5 The electronic device 500 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 5 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0112] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the read-only memory 502. When the computer program is executed by the processing device 501, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0113] It should be noted that the computer-readable medium in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, the computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0114] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0115] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains pre-configured hospital data extraction information, wherein the hospital data extraction information represents the data content to be extracted from the hospital data; in response to determining to perform a data extraction operation on the hospital data extraction information, extracts a hospital extraction data set corresponding to the hospital data extraction information from the hospital system; obtains data approval information corresponding to the hospital extraction data set; in response to determining that the data approval information represents that the hospital extraction data set has passed approval, sends the hospital extraction data set to the hospital data processing end to perform hospital data processing and obtain hospital data processing results; and displays the hospital data processing results on the target hospital system page.

[0116] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0117] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0118] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The described units may also be provided in a processor, for example, may be described as: a processor comprising a first acquisition unit, an extraction unit, a second acquisition unit, a sending unit and a display unit. The names of these units do not, in certain cases, constitute limitations on the units themselves, for example, the first acquisition unit may also be described as a "unit for acquiring pre-configured hospital data extraction information".

[0119] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0120] Some embodiments of the present disclosure further provide a computer program product, including a computer program, which implements any of the above-mentioned hospital data processing methods when executed by a processor.

[0121] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A hospital data processing method, comprising: Acquire pre-configured hospital data extraction information, wherein the hospital data extraction information represents the data content to be extracted from the hospital data; In response to determining to perform a data extraction operation on the hospital data extraction information, extracting a hospital extraction data set corresponding to the hospital data extraction information from a hospital system; Obtaining data approval information corresponding to the hospital extracted data set; In response to determining that the data approval information indicates that the hospital extracted data set has passed approval, sending the hospital extracted data set to a hospital data processing end to perform hospital data processing and obtain a hospital data processing result; The hospital data processing results are displayed on the target hospital system page.

2. The method according to claim 1, wherein: The method further comprises: In response to determining to perform configuration execution information of at least one medical data indicator on the target hospital system page, generating at least one medical indicator content corresponding to the at least one medical data indicator according to the hospital data processing result; The at least one medical indicator content is displayed on the target hospital system page.

3. The method according to claim 1, wherein: The step of extracting a hospital extraction data set corresponding to the hospital data extraction information from a hospital system includes: In response to the data extraction for the hospital data extraction information being the first extraction, determining the batch data extraction number; Determine a first data extraction batch set according to the number of batch data extractions; A data group under each first data extraction batch of the hospital data extraction information is extracted from the hospital system to obtain a hospital extraction data set.

4. The method according to claim 3, wherein: The method further comprises: In response to the data extraction for the hospital data extraction information being not the first extraction, determining a data extraction time period; Determining a second data extraction batch set according to the data extraction time period; A data group under each second data extraction batch of the hospital data extraction information is extracted from the hospital system to obtain a hospital extraction data set.

5. The method according to claim 1, wherein: The obtaining of data approval information corresponding to the hospital extracted data set includes: Determine a storage table corresponding to the hospital data extraction information; Storing each data in the hospital extracted data set into the storage table to obtain a storage data table; The stored data table is displayed on the hospital approval page to obtain data approval information corresponding to the hospital extracted data set.

6. The method according to claim 1, wherein: The step of sending the hospital extracted data set to a hospital data processing terminal to perform hospital data processing and obtain hospital data processing results includes: Adding the data approval information to the hospital extracted data set to obtain a first added data set as the hospital extracted data set; The hospital extracted data set is sent to the hospital data processing terminal for hospital data processing to obtain the hospital data processing result.

7. The method according to claim 1, wherein: The hospital data processing end includes: a hospital data verification end and a hospital data processing end; and The hospital data processing result is generated by the following steps: Using the hospital data verification terminal, the following first generation step is performed: Performing data verification processing on the hospital extracted data set in at least one data verification direction to obtain a hospital data verification result; In response to determining that the hospital data verification result indicates that the verification has been passed, business fields are added to each data in the hospital extracted data set to generate a second added data set; using the hospital data processing end, the following second generation step is performed: Execute table creation and database storage processing for the second added data set to obtain various data tables; Get pre-configured hospital data processing models; Using the hospital data processing model, according to the corresponding business fields, preliminary data processing is performed on the data in each data table to obtain a processed data set; The processed data set is subjected to data stratification processing to obtain the hospital data processing result.

8. A hospital data processing device, comprising: A first acquisition unit is configured to acquire pre-configured hospital data extraction information, wherein the hospital data extraction information represents the data content to be subjected to hospital data extraction; An extraction unit is configured to extract a hospital extraction data set corresponding to the hospital data extraction information from a hospital system in response to determining to perform a data extraction operation on the hospital data extraction information; A second acquisition unit is configured to acquire data approval information corresponding to the hospital extracted data set; a sending unit configured to send the hospital extracted data set to a hospital data processing terminal to perform hospital data processing and obtain a hospital data processing result in response to determining that the data approval information indicates that the hospital extracted data set has passed approval; The display unit is configured to display the hospital data processing result on the target hospital system page.

9. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

11. A computer program product, comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

Images