CN109599186B - Data processing method, apparatus and medium - Google Patents
Data processing method, apparatus and medium Download PDFInfo
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- CN109599186B CN109599186B CN201811387695.8A CN201811387695A CN109599186B CN 109599186 B CN109599186 B CN 109599186B CN 201811387695 A CN201811387695 A CN 201811387695A CN 109599186 B CN109599186 B CN 109599186B
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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Abstract
One aspect of the present disclosure provides a data processing method, including: acquiring medical data, wherein the medical data comprises medical data in a plurality of medical record information tables of patients; constructing a retrieval field of the medical data according to the medical data; determining a retrieval field of search content according to the search content input by a user; and displaying the field content hit by the search content according to the retrieval field of the search content. The present disclosure also provides a data processing apparatus and medium.
Description
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to a data processing method, apparatus, and medium.
Background
At present, under the scene of carrying out physical therapy and scientific research activities by users, the users need to search massive medical data conveniently and quickly. The user usually wants to input any keyword, so that the information such as diagnosis, medication, inspection and the like matched with the keyword can be found, and visual detailed data is returned by taking the patient or the medical record as dimensions. In the search system of the research platform in the prior art, the medical data generally presents a multi-level and multi-attribute structure. For example, the first layer is patient information, and has attribute information such as gender, age and the like; the second layer is medical record information which has attribute information such as medical record type, treatment time and the like; the third layer is information of diagnosis/medication/inspection and the like, and has attribute information of diagnosis time, medication name and the like, namely, one patient has a plurality of medical record data, and one medical record has a plurality of diagnosis/medication/inspection data, so that a multi-node tree structure is formed. In a search system of a current scientific research platform, for multi-level and multi-attribute data, each attribute to be retrieved is generally mapped into a field, an inverted index is created for the field, and all indexes are traversed during searching, and an inverted chain is merged to obtain a retrieval result.
However, in the course of implementing the concept of the present invention, the inventors found that there are at least the following problems in the prior art: (1) the indexing structure is not flexible enough. For example, when the attribute is increased or decreased, the index structure needs to be changed, and the search field specified during retrieval needs to be changed, so that the maintenance cost is increased; (2) the search performance is low. The search engine needs to traverse all search fields, merging the inverted chains.
Disclosure of Invention
Accordingly, the present disclosure is directed to a data processing method, apparatus, and medium that substantially obviate one or more problems due to limitations and disadvantages of the related art.
One aspect of the present disclosure provides a data processing method, including: acquiring medical data, wherein the medical data comprises medical data in a plurality of medical record information tables of patients; constructing a retrieval field of the medical data according to the medical data; determining a retrieval field of search content according to the search content input by a user; and displaying the field content hit by the search content according to the search field of the search content.
According to an embodiment of the disclosure, the method further comprises: according to medical data in a medical record information table associated with the retrieval field of the search content, counting the distribution condition of a preset field in the medical record information table; and displaying the distribution condition of the preset fields in the medical record information table.
According to an embodiment of the disclosure, the method further comprises: highlighting the table name of the associated medical record information table; and/or highlighting part of the medical data of the associated medical record information table, wherein the part of the medical data is the same as or similar to the search content input by the user.
According to the embodiment of the disclosure, determining the search field of the search content according to the search content input by the user comprises traversing the search field of each medical record information table according to the search content input by the user, and hitting the search field of the medical record information table containing the search content or related to the search content.
According to the embodiment of the disclosure, displaying the field content hit by the search content according to the search field of the search content comprises: determining a table name field of a medical record information table related to the search content from a retrieval field of the search content; and displaying the medical data hit in the medical record information table by the search content according to the table name field of the medical record information table related to the search content.
According to the embodiment of the disclosure, the retrieval field of the medical data comprises search content, content of each medical record information table, table name of each medical record information table, and preset weight of the content of each medical record information table.
Another aspect of the present disclosure provides a data processing apparatus including: the acquisition module is used for acquiring medical data, and the medical data comprises medical data in a plurality of medical record information tables of patients; the construction module is used for constructing a retrieval field of the medical data according to the medical data; the first determining module is used for determining a retrieval field of search content according to the search content input by a user; and the first display module is used for displaying the field content hit by the search content according to the search field of the search content.
According to an embodiment of the present disclosure, the apparatus further comprises: the statistical module is used for counting the distribution condition of the preset fields in the medical record information table according to the medical data in the medical record information table associated with the retrieval fields; and the second display module is used for displaying the distribution condition of the preset fields in the medical record information table.
According to an embodiment of the present disclosure, the apparatus further comprises: the third display module is used for highlighting the table name of the associated medical record information table; and/or a fourth display module, configured to highlight a part of medical data of the associated medical record information table, where the part of medical data is the same as or similar to the search content input by the user.
According to the embodiment of the disclosure, the first determining module is further configured to traverse the search field of each medical record information table according to the search content input by the user, and hit the search field of the medical record information table containing the search content or related to the search content.
According to an embodiment of the present disclosure, the first display module includes: the second determining module is used for determining a table name field of a medical record information table related to the search content from the retrieval field of the search content; and the fifth display module is used for displaying the medical data hit in the medical record information table by the search content according to the table name field of the medical record information table related to the search content.
According to an embodiment of the present disclosure, the retrieval field of the medical data includes a preset weight of search content.
Another aspect of the present disclosure provides a data processing apparatus. The apparatus includes one or more processors, and a storage device. The storage device is used for storing one or more programs. Wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the data processing method as described above.
Another aspect of the present disclosure provides a computer-readable medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the data processing method as described above.
Another aspect of the present disclosure provides a computer program comprising computer executable instructions for implementing the data processing method described above when executed.
According to the embodiment of the disclosure, the problems of inflexible index structure and low retrieval performance in the prior art can be at least partially solved, and therefore, the construction of the retrieval field of the medical data according to the medical data in the medical record information tables is realized, and the construction of the retrieval field in this way can improve the speed of retrieval.
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
FIG. 1 schematically shows a structural diagram of a medical record information table according to an embodiment of the disclosure;
FIG. 2 schematically shows a flow diagram of a data processing method according to another embodiment of the present disclosure;
FIG. 3 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure;
FIG. 4 schematically shows a flow diagram of a data processing method according to another embodiment of the present disclosure;
FIG. 5 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure;
FIG. 6 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure;
FIG. 7 schematically shows a block diagram of a data processing apparatus according to another embodiment of the present disclosure;
FIG. 8 schematically shows a block diagram of a data processing apparatus according to another embodiment of the present disclosure;
FIG. 9 schematically shows a block diagram of a data processing apparatus according to another embodiment of the present disclosure;
FIG. 10 schematically shows a block diagram of a computer system of a data processing apparatus according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "A, B and at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include, but not be limited to, systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). It will be further understood by those within the art that virtually any disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase "a or B" should be understood to include the possibility of "a" or "B", or "a and B".
An embodiment of the present disclosure provides a data processing method, including: acquiring medical data, wherein the medical data comprises medical data in a plurality of medical record information tables of patients; constructing a retrieval field of the medical data according to the medical data; determining a retrieval field of the search content according to the search content input by a user; and displaying the field content hit by the search content according to the search field of the search content.
According to the embodiment of the disclosure, the problems of inflexible index structure and low retrieval performance in the prior art can be at least partially solved by the method, and therefore, the construction of the retrieval field of the medical data according to the medical data in the medical record information tables is realized, and the construction of the retrieval field in this way can improve the speed of retrieval.
Fig. 1 schematically shows a structural diagram of a medical record information table according to an embodiment of the disclosure.
As shown in fig. 1, the medical data may be presented in a tree-like multi-level relationship. Specifically, D1 is medical data of a first hierarchy, for example, the medical data of the first hierarchy is patient information, and has attribute information such as gender, age, and ethnicity. D2 is medical data of the second hierarchy, for example, the medical data of the second hierarchy is medical record information, and has attribute information such as a medical record type, a doctor department, a main doctor, and the like. D3 is medical data of the third hierarchy, for example, the medical data of the third hierarchy is attribute information such as diagnosis, medication, examination, and has attribute information such as diagnosis name, medication name, and examination name.
In some embodiments of the present disclosure, a patient may include a plurality of medical record information tables, and a medical record information table may include a plurality of diagnosis information tables, a plurality of medication information tables, and a plurality of examination information tables. As shown in FIG. 1, the patient of D1 may include 1 … … n medical record information tables, and each medical record information table of D2 may include 1 … … n diagnosis information tables, 1 … … n medication information tables, and 1 … … n examination information tables.
The data processing method provided by the disclosure can acquire the medical data of D1, D2 and D3, so that the search field of the medical data is constructed according to the medical data in a plurality of medical record information tables, and then the search field of the search content is determined according to the search content input by a user. In this way, the retrieval field can be constructed for the medical data of the medical record information tables of the patients, so that the retrieval speed can be accelerated when the user retrieves, the waiting time of the user is saved, and the user experience is improved to a certain extent.
Fig. 2 schematically shows a flow chart of a data processing method according to an embodiment of the present disclosure.
As shown in fig. 2, the data processing method includes steps S101 to S104.
In step S101, medical data including medical data in a plurality of medical record information tables of a patient is acquired.
In step S102, a search field of the medical data is constructed according to the medical data.
In step S103, a search field of the search content is determined according to the search content input by the user.
In step S104, according to the search field of the search content, the field content hit by the search content is displayed.
The method can construct the retrieval field aiming at the medical data in the medical record information tables of the patients, so that the speed of responding to the users can be increased when the users retrieve, the waiting time of the users is saved, and the user experience is improved to a certain extent.
Referring to fig. 1, the medical record information table in step 101 may be a D3-level diagnosis information table, a medication information table, a examination information table, and the like, but is not limited thereto.
In some embodiments of the present disclosure, the search field of each medical record information table in step S102 may include search content, content of each medical record information table, table name of each medical record information table, and preset weight of content of each medical record information table. Wherein the field type in the search field is a nested type.
Referring to fig. 1, in step S102, a search field of the diagnosis information table may be constructed according to medical data of the diagnosis information table of the D3 hierarchy. The search content of the search field may be a diagnosis name (e.g. hypertension), and the content of the medical record information table is the original data of the diagnosis information table, such as hypertension, but may also be other medical data of the diagnosis information table, and hypertension is only an illustrative example. The table name of the medical record information table is the diagnosis information table, and the preset weight of the content of the medical record information table may be manually set in advance, for example, the weight of hypertension of the diagnosis information table may be set to 1000, or the preset weight may be set according to the actual situation. The search field may be constructed based on the medical data of D1, D2, and D3, or may be constructed based on the medical data of D1, D2, and D3.
In addition, the contents of the diagnostic information table can be normalized to obtain data similar to the original data, for example, the contents of the diagnostic information table can be normalized to obtain cardiovascular diseases or hypertension. The search content of the search field at this time may be a cardiovascular disease. Thus, the index range input by the user can be expanded, namely, the medical data of the diagnosis information table can be hit when the search content input by the user is cardiovascular diseases.
When the search content input in step S103 is hypertension or cardiovascular disease, the search field of the diagnostic information table may be determined according to the search content, and then the medical data may be displayed according to the table name of the search field.
Fig. 3 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure.
As shown in fig. 3, the method further includes steps S201 and S202.
In step S201, according to the medical data in the medical record information table associated with the search field, statistics is performed on the distribution of preset fields in the medical record information table.
In step S202, a distribution of the preset fields in the medical record information table is shown.
The method can count the distribution condition of the preset field in the medical record information table according to the medical data in the medical record information table associated with the retrieval field of the search content, so that a user can conveniently browse the distribution condition of the medical data associated with the search content.
In some embodiments of the present disclosure, the preset field in step S201 may be a name of a disease, an age of a patient, a sex of a patient, a name of a medicine, and the like, but is not limited thereto.
In some embodiments of the present disclosure, the plurality of pieces of medical data may be determined according to search content input by a user, for example, the plurality of pieces of medical data may be medical data derived from a plurality of medical record information tables.
In some embodiments of the present disclosure, in step S201, the distribution of the preset fields in the medical record information tables can be counted according to the preset weights in the retrieved fields. For example, the preset field is the name of the drug (e.g. Xihuang pill), and the specific condition of the drug used by the first ten patients can be counted from the data by the method. As another example, the preset field is the sex of the patient, and the distribution of male and female proportion can be counted from the plurality of data by the method. For another example, the preset field is the age of the patient, and the distribution of the age of the patient can be counted from the plurality of data by the above method. For another example, the preset field is the name of a disease, and the distribution of people with the disease can be counted from the plurality of data by the method.
According to an embodiment of the present disclosure, the method further includes: highlighting the table name of the associated medical record information table; and/or highlighting part of the medical data of the associated medical record information table, wherein the part of the medical data is the same as or similar to the search content input by the user.
In some embodiments of the present disclosure, data retrieved by the user may be highlighted, for example, the origin of the retrieved medical data (for example, the table name of the medical record information table) may be highlighted, and partial data of the retrieved medical data may be highlighted (for example, medical data that is the same as or close to the search content input by the user may be highlighted). The specific highlighting manner may be to bold the font of the highlighted medical data, add a color to the font of the highlighted medical data, or add an underline to the font of the highlighted medical data, or the like. This helps the user to know whether the retrieved medical data is the same as or similar to the medical data that the user wants to acquire.
Fig. 4 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure. According to an embodiment of the present disclosure, the step S103 may include the step S301.
As shown in fig. 4, the above method includes step S101, step S102, step S301, and step S104.
In step S101, medical data including medical data in a plurality of medical record information tables of a patient is acquired.
In step S102, a search field of the medical data is constructed according to the medical data.
In step S301, according to the search content input by the user, the search field of each medical record information table is traversed, and the search field of the medical record information table containing the search content or related to the search content is hit.
In step S104, according to the search field of the search content, the field content hit by the search content is displayed.
According to the method, the medical data in the medical record information table associated with the retrieval field can be displayed through the hit retrieval field, and in this way, all medical record information tables do not need to be traversed, and only the field of the retrieval field needs to be traversed, so that the problem of low retrieval performance caused by the adoption of inverted index retrieval in the prior art is solved.
Fig. 5 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure. According to an embodiment of the present disclosure, the step S104 may include a step S401 and a step S402.
As shown in fig. 5, the above method may include step S101, step S102, step S103, step S401, and step S402.
In step S101, medical data including medical data in a plurality of medical record information tables of a patient is acquired.
In step S102, a search field of the medical data is constructed according to the medical data.
In step S103, according to the search content input by the user, a search field of the search content is determined.
In step S401, a table name field of a medical record information table related to the search content is determined from the search field of the search content.
In step S402, the medical data hit in the medical record information table by the search content is displayed according to the table name field of the medical record information table related to the search content.
According to the method, the medical data in the medical record information table associated with the retrieval field can be displayed through the table name of the medical record information table in the hit retrieval field, so that the retrieval speed can be greatly improved, the time is saved for a user, and the user experience is improved.
In some embodiments of the present disclosure, the search content input by the user may be, for example, hypertension, a search field containing hypertension may be hit according to the search content, or a search field containing characters (e.g., cardiovascular diseases) similar to or extending from hypertension may be hit, and then the medical data in the table is displayed according to the table name of the search field, for example, the table name is a diagnostic information table, so that the medical data in the diagnostic information table in the search field may be displayed directly according to the table name, thereby increasing the search speed.
Fig. 6 schematically shows a block diagram of a data processing device according to an embodiment of the present disclosure.
As shown in fig. 6, the data processing apparatus 500 includes an acquisition module 510, a construction module 520, a first determination module 530, and a first presentation module 540.
The obtaining module 510 is configured to obtain medical data, where the medical data includes medical data in a plurality of medical record information tables of a patient.
A construction module 520, configured to construct a search field of the medical data according to the medical data.
A first determining module 530, configured to determine a retrieval field of the search content according to the search content input by the user.
A first displaying module 540, configured to display field contents hit by the search content according to the search field of the search content.
The data processing device 500 can construct a search field for a plurality of medical record information tables of a patient, so that the speed of responding to a user can be increased when the user searches, the waiting time of the user is saved, and the user experience is improved to a certain extent.
According to an embodiment of the present disclosure, the data processing apparatus 500 may be configured to implement the data processing method described in fig. 2 above.
Fig. 7 schematically shows a block diagram of a data processing device according to another embodiment of the present disclosure.
As shown in fig. 7, the data processing apparatus 600 further includes a statistics module 610 and a second presentation module 620.
The statistic module 610 is configured to count a distribution of preset fields in the medical record information table according to medical data in the medical record information table associated with the search field.
And a second displaying module 620, configured to display a distribution situation of the preset field in the medical record information table.
The data processing device 600 can count the distribution of the preset fields in the medical record information table according to the medical data in the medical record information table associated with the retrieval field of the search content, so that the user can conveniently browse the distribution of the medical data associated with the search content.
According to an embodiment of the present disclosure, the data processing apparatus 600 may be used to implement the data processing method described in fig. 3 above.
According to the embodiment of the disclosure, the determining module is further configured to traverse the search field of each medical record information table according to the search content input by the user, and hit the search field of the medical record information table containing the search content or related to the search content.
Fig. 8 schematically shows a block diagram of a data processing device according to another embodiment of the present disclosure.
As shown in fig. 8, data processing apparatus 700 further includes a third presentation module 710 and/or a fourth presentation module 720.
And a third display module 710, configured to highlight the table name of the associated medical record information table.
A fourth displaying module 720, configured to highlight a part of the medical data of the associated medical record information table, where the part of the medical data is the same as or similar to the search content input by the user.
The data processing apparatus 700 may highlight data retrieved by the user, for example, a source of the retrieved medical data (for example, a table name of a medical record information table) and a partial data of the retrieved medical data (for example, medical data that is the same as or close to the search content input by the user). The specific highlighting manner may be to bold the font of the highlighted medical data, add a color to the font of the highlighted medical data, or add an underline to the font of the highlighted medical data, or the like. This helps the user to know whether the retrieved medical data is the same as or similar to the medical data that the user wants to acquire.
Fig. 9 schematically shows a block diagram of a data processing device according to another embodiment of the present disclosure.
As shown in fig. 9, the first presentation module 540 may include a second determination module 541 and a fifth presentation module 542.
A second determining module 541, configured to determine, from the retrieval field of the search content, a table name field of a medical record information table related to the search content.
A fifth displaying module 542, configured to display the medical data hit in the medical record information table by the search content according to the table name field of the medical record information table related to the search content.
According to the embodiment of the disclosure, the method can display the medical data in the medical record information table associated with the retrieval field through the table name of the medical record information table in the hit retrieval field, so that the retrieval speed can be greatly improved, the time is saved for a user, and the user experience is improved.
According to an embodiment of the present disclosure, the second determining module 541 and the fifth displaying module 542 may be configured to implement the data processing method described in fig. 5 above.
It is understood that the obtaining module 510, the constructing module 520, the first determining module 530, the first presenting module 540, the second determining module 541, the fifth presenting module 542, the counting module 610, the second presenting module 620, the third presenting module 710, and the fourth presenting module 720 may be combined to be implemented in one module, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the obtaining module 510, the constructing module 520, the first determining module 530, the first presenting module 540, the second determining module 541, the fifth presenting module 542, the counting module 610, the second presenting module 620, the third presenting module 710, and the fourth presenting module 720 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in a suitable combination of three implementations of software, hardware, and firmware. Alternatively, at least one of the obtaining module 510, the constructing module 520, the first determining module 530, the first presenting module 540, the second determining module 541, the fifth presenting module 542, the counting module 610, the second presenting module 620, the third presenting module 710, and the fourth presenting module 720 may be at least partially implemented as a computer program module which, when executed by a computer, may perform the functions of the respective modules.
Fig. 10 schematically shows a block diagram of a computer system of a data processing device according to an embodiment of the present disclosure. The computer system illustrated in FIG. 10 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 10, a computer system 800 of a data processing apparatus according to an embodiment of the present disclosure includes a processor 801 which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 801 may also include on-board memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing the different actions of the method flows described with reference to fig. 2-5 in accordance with embodiments of the present disclosure.
In the RAM 803, various programs and data necessary for the operation of the system 800 are stored. The processor 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. The processor 801 executes various steps of the data processing method described above with reference to fig. 2 to 5 by executing programs in the ROM 802 and/or the RAM 803. Note that the program may also be stored in one or more memories other than the ROM 802 and the RAM 803. The processor 801 may also perform the various steps of the data processing methods described above with reference to fig. 2-5 by executing programs stored in the one or more memories.
According to an embodiment of the present disclosure, the system 800 may also include an input/output (I/O) interface 807, the input/output (I/O) interface 807 also being connected to the bus 804. The system 800 may also include one or more of the following components connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
According to an embodiment of the present disclosure, the method described above with reference to the flow chart may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program, when executed by the processor 801, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
It should be noted that the computer readable medium shown in the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer 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. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing. According to embodiments of the present disclosure, a computer-readable medium may include one or more memories other than the ROM 802 and/or the RAM 803 and/or the ROM 802 and the RAM 803 described above.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As another aspect, the present disclosure also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The above-mentioned computer-readable medium carries one or more programs which, when executed by one of the apparatuses, cause the apparatus to perform the data processing method according to the embodiment of the present disclosure. The method comprises the following steps: acquiring medical data, wherein the medical data comprises medical data in a plurality of medical record information tables of patients; constructing a retrieval field of the medical data according to the medical data; determining a retrieval field of the search content according to the search content input by a user; and displaying the field content hit by the search content according to the search field of the search content.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (8)
1. A method of data processing, comprising:
acquiring medical data, wherein the medical data comprises medical data in a plurality of medical record information tables of a patient, and the medical data in the plurality of medical record information tables are presented in a tree-like multi-level relation, wherein the medical data of a first level is patient information, the medical data of a second level is medical record information, and the medical data of a third level is diagnosis, medication, inspection and examination attribute information;
constructing a retrieval field of the medical data according to the medical data of the first level, the second level and the third level, wherein the retrieval field of the medical data comprises search content, original content of each medical record information table, table name of each medical record information table and preset weight of the content of each medical record information table, the field type of the retrieval field of the medical data is a nested type, and the search content of the retrieval field comprises data similar to the meaning of the original data;
determining a retrieval field of search content according to the search content input by a user; the determining the search field of the search content according to the search content input by the user comprises:
according to the search content input by the user, traversing the search field of each medical record information table, and hitting the search field of the medical record information table containing the search content or related to the search content;
according to the search field of the search content, displaying the field content hit by the search content;
the method further comprises the following steps: according to medical data in a medical record information table associated with the retrieval field, counting the distribution condition of a preset field in the medical record information table according to a preset weight in the retrieval field, wherein the medical data in the medical record information table associated with the retrieval field are a plurality of pieces of medical data from a plurality of medical record information tables determined according to search contents input by a user;
and displaying the distribution condition of the preset fields in the medical record information table.
2. The method of claim 1, further comprising:
highlighting the table name of the associated medical record information table; and/or
Highlighting part of medical data of the associated medical record information table, wherein the part of the medical data is the same as or similar to the search content input by the user.
3. The method of claim 1, wherein, according to the search field of the search content, displaying the field content hit by the search content comprises:
determining a table name field of a medical record information table related to the search content from a retrieval field of the search content;
and displaying the medical data hit in the medical record information table by the search content according to the table name field of the medical record information table related to the search content.
4. A data processing apparatus comprising:
the medical data acquisition module is used for acquiring medical data, wherein the medical data comprises medical data in a plurality of medical record information tables of a patient, and the medical data in the plurality of medical record information tables are presented in a tree-like multi-level relation, wherein the medical data of a first level is patient information, the medical data of a second level is medical record information, and the medical data of a third level is diagnosis, medication, inspection and examination attribute information;
the construction module is used for constructing a retrieval field of the medical data according to the medical data of the first level, the second level and the third level, the retrieval field of the medical data comprises search content, original content of each medical record information table, table name of each medical record information table and preset weight of the content of each medical record information table, the field type of the retrieval field of the medical data is a nested type, and the search content of the retrieval field comprises data similar to the meaning of the original data;
the first determining module is used for determining a retrieval field of the search content according to the search content input by a user; the determining the search field of the search content according to the search content input by the user comprises: traversing the retrieval field of each medical record information table according to the search content input by the user, and hitting the retrieval field of the medical record information table containing the search content or related to the search content;
the first display module is used for displaying field contents hit by the search contents according to the search fields of the search contents;
the device also includes:
the statistical module is used for counting the distribution condition of a preset field in the medical record information table according to the medical data in the medical record information table associated with the retrieval field and the preset weight in the retrieval field, wherein the medical data in the medical record information table associated with the retrieval field is a plurality of pieces of medical data from a plurality of medical record information tables determined according to the search content input by the user;
and the second display module is used for displaying the distribution condition of the preset fields in the medical record information table.
5. The apparatus of claim 4, further comprising:
the third display module is used for highlighting the table name of the associated medical record information table; and/or
And the fourth display module is used for highlighting part of medical data of the associated medical record information table, wherein the part of medical data is the same as or similar to the search content input by the user.
6. The apparatus of claim 4, wherein the first display module comprises:
the second determining module is used for determining a table name field of a medical record information table related to the search content from the retrieval field of the search content;
and the fifth display module is used for displaying the medical data hit in the medical record information table by the search content according to the table name field of the medical record information table related to the search content.
7. A data processing apparatus comprising:
one or more processors; and
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-3.
8. A computer readable medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any one of claims 1 to 3.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008250743A (en) * | 2007-03-30 | 2008-10-16 | Fujitsu Ltd | Medical information display program, medical information display method and medical information management system |
| CN105893597A (en) * | 2016-04-20 | 2016-08-24 | 上海家好科技有限公司 | Similar medical record retrieval method and system |
| CN106407443A (en) * | 2016-09-28 | 2017-02-15 | 医渡云（北京）技术有限公司 | Structured medical data generation method and device |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030154085A1 (en) * | 2002-02-08 | 2003-08-14 | Onevoice Medical Corporation | Interactive knowledge base system |
| CN101251854A (en) * | 2008-03-19 | 2008-08-27 | 深圳先进技术研究院 | Method for creating index lexical item as well as data retrieval method and system |
| CN101477568A (en) * | 2009-02-12 | 2009-07-08 | 清华大学 | Integrated retrieval method for structured data and non-structured data |
| CN103310014B (en) * | 2013-07-02 | 2016-06-29 | 北京航空航天大学 | A kind of method improving retrieval result accuracy rate |
| CN104572675B (en) * | 2013-10-16 | 2018-03-30 | 中国人民解放军南京军区南京总医院 | A kind of system and method for similar case history retrieval |
| CN103605760A (en) * | 2013-11-25 | 2014-02-26 | 方正国际软件有限公司 | Medical record query method and medical record query system |
| CN106126559A (en) * | 2016-06-16 | 2016-11-16 | 天脉聚源(北京)传媒科技有限公司 | A kind of data processing method and device |
| CN106776878A (en) * | 2016-11-29 | 2017-05-31 | 西安交通大学 | A kind of method for carrying out facet retrieval to MOOC courses based on ElasticSearch |
| CN107657062A (en) * | 2017-10-25 | 2018-02-02 | 医渡云（北京）技术有限公司 | Similar case search method and device, storage medium, electronic equipment |
| CN107818815B (en) * | 2017-10-30 | 2022-05-20 | 北京康夫子健康技术有限公司 | Electronic medical record retrieval method and system |
| CN107818169B (en) * | 2017-11-13 | 2021-09-07 | 医渡云（北京）技术有限公司 | Electronic medical record retrieval and storage method and device, storage medium and electronic terminal |
| CN107992630A (en) * | 2017-12-26 | 2018-05-04 | 医渡云（北京）技术有限公司 | Medical data retrieval method and device, storage medium, electronic equipment |
-
2018
- 2018-11-21 CN CN201811387695.8A patent/CN109599186B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008250743A (en) * | 2007-03-30 | 2008-10-16 | Fujitsu Ltd | Medical information display program, medical information display method and medical information management system |
| CN105893597A (en) * | 2016-04-20 | 2016-08-24 | 上海家好科技有限公司 | Similar medical record retrieval method and system |
| CN106407443A (en) * | 2016-09-28 | 2017-02-15 | 医渡云（北京）技术有限公司 | Structured medical data generation method and device |
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