CN114283909A - Method, system, device and storage medium for inquiring clinical scientific research data - Google Patents
Method, system, device and storage medium for inquiring clinical scientific research data Download PDFInfo
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- 206010033645 Pancreatitis Diseases 0.000 description 2
- 206010033647 Pancreatitis acute Diseases 0.000 description 2
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Abstract
The invention provides a method, a system, a device and a storage medium for inquiring clinical scientific research data, which reduce the difficulty of inquiry operation and improve the efficiency and comprise the following steps: establishing a scientific research database, wherein the scientific research database comprises a plurality of classified catalogues which are respectively used for different types of clinical data; receiving a clinical query request; extracting retrieval elements related to clinical data from the clinical query request, and determining a classification catalogue to which each retrieval element belongs; inquiring data meeting corresponding retrieval elements in each classification catalog to obtain a plurality of data sets; combining all the data sets to obtain a data integration result, wherein the data integration result comprises all data combinations which have all the retrieval elements and are obtained by combination; and setting a limiting condition according to the known information, inquiring data meeting the limiting condition from the data integration result, and outputting an inquiry result meeting the clinical inquiry request.
Description
Technical Field
The invention relates to the technical field of medical big data, in particular to a method, a system, a device and a storage medium for inquiring clinical scientific research data.
Background
At present, the position of clinical scientific research work is prominent and important. Under a modern evaluation system, the proportion of scientific research atmosphere and scientific research achievements in hospital quality and competitiveness evaluation is getting larger and larger, and meanwhile, the clinical scientific research level is also a key index for evaluating the level of doctors. Based on the investigation of a plurality of global researchers, most researchers evaluate the data discoverability as 'very important'. However, due to the complexity of the clinical data, the clinical research data is generally retrieved and retrieved by manual browsing or inefficient multi-system retrieval and manual data collection.
The manual reading method mainly comprises the steps of manually looking up various paper or electronic documents, recording the looked-up data into Excel or a similar simple data recording tool in a manual recording mode, and then further processing. The defects of the method mainly comprise the defects of large workload, long time consumption, easy omission of data, inconvenience in tracking data sources, inconvenience in supplementing data and the like.
An inefficient multi-system search and manual collection of data is directed to clinicians who already have some information systems in which clinical data is scattered and from which data is extracted according to actual research needs. However, due to the complexity of clinical data itself, it is difficult to retrieve data at once even if the data is stored in an information system. The retrieval can be carried out only in types and in batches, and then manual convergence is carried out. For this kind of information system, the requirement on the data processing capability and the information system data structure of clinical staff is often too high, and it is difficult for clinical researchers to extract data according to their own requirements. In addition to the above problems, clinical data scattered in a plurality of information systems also has a problem of patient matching, that is, the way of identifying patients may not be consistent among the systems, and identification needs to be unified manually.
The existence of the problems causes the query and retrieval of clinical scientific research data to be always tedious, difficult to operate and inefficient.
Disclosure of Invention
In view of the above problems, the present invention provides a method, a system, a device and a storage medium for querying clinical scientific research data, which can reduce the difficulty of querying operations and improve the efficiency.
The technical scheme is as follows: a method for inquiring clinical scientific research data is characterized by comprising the following steps:
establishing a scientific research database, wherein the scientific research database comprises a plurality of classified catalogues which are respectively used for different types of clinical data;
receiving a clinical query request;
extracting retrieval elements related to clinical data from the clinical query request, and determining a classification catalogue to which each retrieval element belongs;
inquiring data meeting corresponding retrieval elements in each classification catalog to obtain a plurality of data sets;
combining all the data sets to obtain a data integration result, wherein the data integration result comprises all data combinations which have all the retrieval elements and are obtained by combination;
and setting a limiting condition according to the known information, inquiring data meeting the limiting condition from the data integration result, and outputting an inquiry result meeting the clinical inquiry request.
Further, the establishing a scientific research database includes:
collecting clinical data, wherein the clinical data comprises demographic information, clinical diagnosis and treatment data, medical history data, medical advice data, examination and examination data and pathological data;
and constructing classified catalogues, and storing different types of clinical data under each classified catalog.
Further, a method of collecting clinical data includes: data integration, data capture and manual entry.
Further, the extracting the search elements related to the clinical data from the clinical query request and determining the category to which each search element belongs includes:
and splitting the clinical query request, extracting retrieval elements related to clinical data from a splitting result, and determining a classification catalogue to which each retrieval element belongs.
Further, all data sets are combined, specifically executed as follows: and solving the Cartesian product of all the data sets.
Further, the determining the cartesian product of all the data sets includes:
sequencing data sets according to the sequence of less data quantity to more data quantity, firstly, performing cross connection on data in the first two sequenced data sets to obtain a synthesized data set, then performing cross connection on the obtained synthesized data set and data in the next data set in the sequence until the last data set in the sequence to obtain a data integration result, wherein the sequenced data set sequence is expressed as { a1, a2, a3,. and.an }, wherein a1, a2, a3,. and an are different data sets respectively, and the Cartesian product A of all the data sets is expressed as: a is 1 × a2 × a3..
A system for querying clinical research data, comprising in combination:
the scientific research database module comprises a plurality of classified catalogs which are respectively used for different types of clinical data;
the clinical query module is used for receiving a clinical query request;
the retrieval element classification module is used for extracting retrieval elements related to clinical data from the clinical query request and determining a classification catalogue to which each retrieval element belongs;
the retrieval element query module is used for querying data meeting corresponding retrieval elements in each classification catalogue to obtain a plurality of data sets;
the data integration module is used for combining all the data sets to obtain a data integration result, and the data integration result comprises all data combinations which have all the retrieval elements and are obtained by combination;
and the query result output module is used for setting a limiting condition according to the known information, querying data meeting the limiting condition from the data integration result and outputting a query result meeting the clinical query request.
Furthermore, the clinical data collected by the scientific research database module comprise demographic information, clinical diagnosis and treatment data, medical history data, medical advice data, examination and inspection data and pathological data;
the retrieval element classification module is used for splitting the clinical query request, extracting retrieval elements related to clinical data from a split result and determining a classification catalogue to which each retrieval element belongs.
The data integration module is used for solving the Cartesian product of all the data sets, and comprises the following steps:
sequencing data sets according to the sequence of less data quantity to more data quantity, firstly, performing cross connection on data in the first two sequenced data sets to obtain a synthesized data set, then performing cross connection on the obtained synthesized data set and data in the next data set in the sequence until the last data set in the sequence to obtain a data integration result, wherein the sequenced data set sequence is expressed as { a1, a2, a3,. and.an }, wherein a1, a2, a3,. and an are different data sets respectively, and the Cartesian product A of all the data sets is expressed as: a is 1 × a2 × a3..
An inquiry device of clinical scientific research data, which is characterized by comprising: comprising a processor, a memory, and a program;
the program is stored in the memory, and the processor calls the program stored in the memory to execute the method for inquiring the clinical scientific research data.
A computer-readable storage medium characterized by: the computer-readable storage medium stores a program for executing the above-described method for querying clinical research data.
The method for inquiring the clinical scientific research data establishes a set of database which collects all clinical data, solves the problem of scattering of the clinical data in the prior art, then splits the clinical inquiry request, automatically splits one inquiry into a plurality of inquires of a plurality of search elements, integrates the data meeting the search elements after finishing the plurality of inquires by adopting a distributed inquiry mode, inquires the data meeting the limiting conditions from the data integration result, and outputs the inquiry result meeting the clinical inquiry request.
Drawings
FIG. 1 is a schematic diagram illustrating steps of a method for querying clinical scientific research data according to an embodiment;
FIG. 2 is a block diagram of a system for querying clinical scientific research data according to an embodiment;
FIG. 3 is a diagram illustrating an internal structure of a computing device according to an embodiment.
Detailed Description
In the following description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific aspects of embodiments of the invention or by which embodiments of the invention may be practiced. It is to be understood that embodiments of the invention may be utilized in other respects, and include structural or logical changes not depicted in the figures. The following detailed description, therefore, is not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims.
It should be understood that although steps are illustrated in the disclosed embodiments as numbered for ease of understanding, the numbers do not represent the order in which the steps are performed, nor do they represent that the steps numbered in order must be performed together. It should be understood that one or several of the steps numbered in sequence may be individually performed to solve the corresponding technical problem and achieve a predetermined technical solution. Even though illustrated in the figures as a plurality of steps listed together, does not necessarily indicate that the steps must be performed together; the figures are merely exemplary to list the steps together for ease of understanding.
Referring to fig. 1, the method for querying clinical scientific research data of the present invention at least includes the following steps:
step 1: establishing a scientific research database, wherein the scientific research database comprises a plurality of classified catalogs which are respectively used for different types of clinical data;
step 2: receiving a clinical query request;
and step 3: extracting retrieval elements related to clinical data from the clinical query request, and determining a classification catalogue to which each retrieval element belongs;
and 4, step 4: inquiring data meeting corresponding retrieval elements in each classification catalog to obtain a plurality of data sets;
and 5: combining all the data sets to obtain a data integration result, wherein the data integration result comprises all data combinations which have all the retrieval elements and are obtained by combination;
step 6: and setting a limiting condition according to the known information, inquiring data meeting the limiting condition from the data integration result, and outputting an inquiry result meeting the clinical inquiry request.
In an embodiment of the invention, in step 1, when the scientific research database is established, the method includes collecting clinical data through data integration, data capture and manual entry, wherein the clinical data includes demographic information, clinical diagnosis and treatment data, medical history data, medical advice data, examination and inspection data and pathological data;
the scientific research database constructs a plurality of classified catalogs comprising demographic information, clinical diagnosis and treatment data, medical history data, medical advice data, examination and examination data and pathological data, and stores corresponding clinical data under each classified catalog for realizing the structured storage of the clinical scientific research data.
The demographic information is classified into a catalog and can comprise
In step 2, a request of the clinical scientific research personnel for data query is received, and the clinical scientific research personnel can query in modes of inputting, clicking, checking and the like.
In this embodiment, one of the clinical query requests is: all 18-45 year old men were diagnosed with acute pancreatitis and were admitted to the hospital for 48 hours for all serum amylase test results.
In step 3, after receiving the query request, the search elements related to the clinical data are extracted from the clinical query request, the category directory to which each search element belongs is determined, and particularly, when one clinical query request is faced, the clinical query request is split, wherein some mature natural language processing methods can be used for sentence breaking and word extraction, and then the search elements related to the clinical data are extracted from the split result.
For the clinical query request disclosed in step 2 of this embodiment, the search elements extracted in step 3 include age, sex, diagnosis, medication execution, and test items,
since the data is structured in the research database in step 1, it is possible to find out which classification directories they are stored in according to these search elements, in this embodiment, the age and sex are stored in the classification directory of the demographic information, the diagnosis is stored in the classification directory of the clinical data, the executed medicine is stored in the classification directory of the medical advice data, and the examination item is stored in the classification directory of the examination data.
In step 4, inquiring data meeting corresponding retrieval elements in each classification catalogue, and correspondingly inquiring patient data meeting males aged 18-45 in the classification catalogue of the demographic information; the patient data of the acute pancreatitis is inquired in a classification catalogue of clinical diagnosis and treatment data, the patient using enteral nutrition medicine is inquired in a classification catalogue of medical order data, the patient data of all serum amylase test results within 48 hours of admission is inquired in a test item storage, and then a plurality of data sets can be obtained.
In step 5, all data sets are combined by solving a cartesian product of all data sets, in this embodiment, the data sets are sorted in order of the data amount from small to large, the sorted data set sequence is represented as { a1, a2, a3, a4}, where a1, a2, a3, and a4 are different data sets, and the cartesian product a of all data sets is represented as: a-1 × a2 × a3 × a4, cross-connecting data in the first two sorted data sets a1 and a2 to obtain a synthetic data set, and cross-connecting the obtained synthetic data set with data in the next data set a3 in the sequence until the last data set a4 in the sequence to obtain a data integration result, wherein the data integration result meets the condition 1: with all search elements, condition 2: including all combinations of data resulting from the combination.
For the calculation of the Cartesian product of data sets, assuming 50 records for data set one and 80 records for data set two, there are 50 choices for the first data set and 80 choices for the second data set, so there are 50 x 80 choices for the Cartesian product of data set one and data set two.
In step 5, a lot of redundant data are generated through calculation of Cartesian products, the data are often not in accordance with logic, so that in step 6, according to the corresponding relation between different retrieval elements and known patient information, a limiting condition is set, data meeting the limiting condition are inquired from data integration results, the data which are not in accordance with the logic are filtered, and finally an inquiry result meeting a clinical inquiry request is output.
The method for inquiring the clinical scientific research data in the embodiment establishes a set of database which collects all clinical data, solves the problem of clinical data scattering in the prior art, then splitting the clinical query request, automatically splitting one query into multiple queries of multiple retrieval elements, adopting a distributed query mode to complete the multiple queries, integrating the data meeting the retrieval elements, inquiring the data meeting the limiting conditions from the data integration result, and outputting the inquiry result meeting the clinical inquiry request, in practical use, clinical staff can directly obtain accurate query results by inputting query requests once, the method reduces the difficulty of query operation, can liberate clinical staff from complicated data query and retrieval, returns to scientific research and improves the working efficiency.
Referring to fig. 2, in an embodiment of the present invention, there is further provided a system for querying clinical scientific research data, including:
the scientific research database module 1 comprises a plurality of classified catalogs which are respectively used for different types of clinical data;
a clinical query module 2, configured to receive a clinical query request;
the retrieval element classification module 3 is used for extracting retrieval elements related to clinical data from the clinical query request and determining a classification catalogue to which each retrieval element belongs;
a retrieval element query module 4, configured to query, in each classification directory, data that satisfies a corresponding retrieval element, and obtain a plurality of data sets;
the data integration module 5 is configured to combine all data sets to obtain a data integration result, where the data integration result includes all data combinations that have all search elements and are obtained by combination;
and the query result output module 6 is used for setting a limiting condition according to the known information, querying data meeting the limiting condition from the data integration result, and outputting a query result meeting the clinical query request.
Specifically, in this embodiment, the clinical data collected by the scientific research database module includes demographic information, clinical diagnosis and treatment data, medical history data, medical advice data, examination and inspection data, and pathological data;
the retrieval element classification module is used for splitting the clinical query request, extracting retrieval elements related to clinical data from the split result and determining a classification catalogue to which each retrieval element belongs.
The data integration module is used for solving the Cartesian product of all the data sets, and comprises the following steps:
sequencing data sets according to the sequence of less data quantity to more data quantity, firstly, performing cross connection on data in the first two sequenced data sets to obtain a synthesized data set, then performing cross connection on the obtained synthesized data set and data in the next data set in the sequence until the last data set in the sequence to obtain a data integration result, wherein the sequenced data set sequence is expressed as { a1, a2, a3,. and.an }, wherein a1, a2, a3,. and an are different data sets respectively, and the Cartesian product A of all the data sets is expressed as: a is 1 × a2 × a3..
In an embodiment of the present invention, there is also provided a device for prompting diagnosis based on historical diagnosis data, including: comprising a processor, a memory, and a program;
the program is stored in the memory, and the processor calls the program stored in the memory to execute the above-mentioned method for inquiring the clinical scientific research data.
The computer apparatus may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer device comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a method for querying clinical scientific data. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on a shell of the computer device, an external keyboard, a touch pad or a mouse and the like.
The Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory is used for storing programs, and the processor executes the programs after receiving the execution instructions.
The processor may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like. The Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that the configuration shown in fig. 3 is a block diagram of only a portion of the configuration associated with the present application and is not intended to limit the computing device to which the present application may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment of the present invention, there is also provided a computer-readable storage medium for storing a program for executing the above-mentioned method for querying clinical scientific research data.
As will be appreciated by one of skill in the art, embodiments of the present invention may be provided as a method, computer apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, computer apparatus, or computer program products according to embodiments of the invention. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart and/or flowchart block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart.
The present invention provides a method, a system, a computer device, and a computer readable storage medium for querying clinical scientific research data, wherein the method, the system, the computer device, and the computer readable storage medium are described in detail, and the specific examples are used herein to explain the principles and embodiments of the present invention, and the descriptions of the above examples are only used to help understand the method and the core ideas of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for inquiring clinical scientific research data is characterized by comprising the following steps:
establishing a scientific research database, wherein the scientific research database comprises a plurality of classified catalogues which are respectively used for different types of clinical data;
receiving a clinical query request;
extracting retrieval elements related to clinical data from the clinical query request, and determining a classification catalogue to which each retrieval element belongs;
inquiring data meeting corresponding retrieval elements in each classification catalog to obtain a plurality of data sets;
combining all the data sets to obtain a data integration result, wherein the data integration result comprises all data combinations which have all the retrieval elements and are obtained by combination;
and setting a limiting condition according to the known information, inquiring data meeting the limiting condition from the data integration result, and outputting an inquiry result meeting the clinical inquiry request.
2. The method for inquiring clinical scientific research data as claimed in claim 1, wherein: the establishment of the scientific research database comprises the following steps:
collecting clinical data, wherein the clinical data comprises demographic information, clinical diagnosis and treatment data, medical history data, medical advice data, examination and examination data and pathological data;
and constructing classified catalogues, and storing different types of clinical data under each classified catalog.
3. The method for inquiring clinical scientific research data as claimed in claim 2, wherein: a method of collecting clinical data comprising: data integration, data capture and manual entry.
4. The method for inquiring clinical scientific research data as claimed in claim 1, wherein: the extracting retrieval elements related to clinical data from the clinical query request and determining the classification catalogue to which each retrieval element belongs comprise:
and splitting the clinical query request, extracting retrieval elements related to clinical data from a splitting result, and determining a classification catalogue to which each retrieval element belongs.
5. The method for inquiring clinical scientific research data as claimed in claim 1, wherein: combining all data sets, specifically performing as follows: and solving the Cartesian product of all the data sets.
6. The method as claimed in claim 5, wherein the query of clinical research data comprises: the cartesian product of all the data sets is obtained, which includes:
sequencing data sets according to the sequence of less data quantity to more data quantity, firstly, performing cross connection on data in the first two sequenced data sets to obtain a synthesized data set, then performing cross connection on the obtained synthesized data set and data in the next data set in the sequence until the last data set in the sequence to obtain a data integration result, wherein the sequenced data set sequence is expressed as { a1, a2, a3,. and.an }, wherein a1, a2, a3,. and an are different data sets respectively, and the Cartesian product A of all the data sets is expressed as: a is 1 × a2 × a3..
7. A system for querying clinical research data, comprising in combination:
the scientific research database module comprises a plurality of classified catalogs which are respectively used for different types of clinical data;
the clinical query module is used for receiving a clinical query request;
the retrieval element classification module is used for extracting retrieval elements related to clinical data from the clinical query request and determining a classification catalogue to which each retrieval element belongs;
the retrieval element query module is used for querying data meeting corresponding retrieval elements in each classification catalogue to obtain a plurality of data sets;
the data integration module is used for combining all the data sets to obtain a data integration result, and the data integration result comprises all data combinations which have all the retrieval elements and are obtained by combination;
and the query result output module is used for setting a limiting condition according to the known information, querying data meeting the limiting condition from the data integration result and outputting a query result meeting the clinical query request.
8. The system for clinical research data query according to claim 7, wherein: the clinical data collected by the scientific research database module comprise demographic information, clinical diagnosis and treatment data, medical history data, medical advice data, examination and examination data and pathological data;
the retrieval element classification module is used for splitting the clinical query request, extracting retrieval elements related to clinical data from a split result and determining a classification catalogue to which each retrieval element belongs.
The data integration module is used for solving the Cartesian product of all the data sets, and comprises the following steps:
sequencing data sets according to the sequence of less data quantity to more data quantity, firstly, performing cross connection on data in the first two sequenced data sets to obtain a synthesized data set, then performing cross connection on the obtained synthesized data set and data in the next data set in the sequence until the last data set in the sequence to obtain a data integration result, wherein the sequenced data set sequence is expressed as { a1, a2, a3,. and.an }, wherein a1, a2, a3,. and an are different data sets respectively, and the Cartesian product A of all the data sets is expressed as: a is 1 × a2 × a3..
9. An inquiry device of clinical scientific research data, which is characterized by comprising: comprising a processor, a memory, and a program;
the program is stored in the memory, and the processor calls the program stored in the memory to execute the method for querying clinical research data according to any claim 1 to claim 6.
10. A computer-readable storage medium characterized by: the computer-readable storage medium stores a program for executing the method of querying clinical research data according to any one of claims 1 to 6.
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Application publication date: 20220405 |