CN109785918B - Data acquisition system and method applied to clinical scientific research - Google Patents

Data acquisition system and method applied to clinical scientific research Download PDF

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CN109785918B
CN109785918B CN201811630702.2A CN201811630702A CN109785918B CN 109785918 B CN109785918 B CN 109785918B CN 201811630702 A CN201811630702 A CN 201811630702A CN 109785918 B CN109785918 B CN 109785918B
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scientific research
data
filling
unique identifier
module
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CN109785918A (en
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卢苗
方军武
殷莉
徐会城
薛如平
刘琼梅
杨卫忠
刘峰
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Haitai Medical Information System Co ltd
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Abstract

The invention provides a data acquisition system applied to clinical scientific research, which comprises: the element library is configured to create and store a plurality of elements, and each element is associated with a unique identifier; a scientific research medical record configured to create a plurality of filling entries, each filling entry associated with a unique identifier of an element, the filling entry comprising an entry topic corresponding to an element and a filling area configured to be able to fill in text content; a text content input module configured to obtain input and generate text content in the filling area; the data acquisition system applied to clinical scientific research unifies elements contained in scientific research medical records and scientific research forms, so that the scientific research data in the scientific research forms and the text contents in the scientific research medical records have unified data standards, and the authenticity and traceability of the scientific research data are ensured.

Description

Data acquisition system and method applied to clinical scientific research
Technical Field
The invention relates to an electronic informatization and networking technology applied to the medical field, in particular to a data acquisition system applied to clinical scientific research.
Background
Electronic Medical Record (EMR), also called computerized Medical Record system or Computer-Based Patient Record (CPR). It uses electronic equipment (computer, health card, etc.) to store, manage, transmit and reproduce the digitalized medical record of patient, instead of hand-written paper medical record. The EMR is the original record of the whole process of diagnosis and treatment of a patient in a hospital and comprises a first page, a disease course record, an examination and examination result, a doctor's advice, an operation record, a nursing record and the like. The electronic medical record not only refers to static medical record information, but also comprises provided related services. Is electronically managed information about the health status and health care activities of an individual throughout life, all process information related to the collection, storage, transmission, processing and utilization of patient information.
After accumulation for over ten years, although China has massive big data, the method lacks effective processing and analyzing capacity, and the most important problem is that a clinical business system and a scientific research data acquisition system cannot be unified, scientific research data acquisition is from the clinical business system, but the clinical business system and the scientific research data acquisition system lack unified data standards, so that the reality and traceability of the scientific research data are greatly reduced.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the invention provides a data acquisition system and a method applied to clinical scientific research to solve the problems that a clinical business system and a scientific research data acquisition system cannot be unified, scientific research data acquisition is from the clinical business system, but the reality and traceability of the scientific research data are greatly reduced due to the lack of unified data standards.
The technical scheme adopted by the invention for solving the technical problems is as follows: a data acquisition method applied to clinical scientific research comprises the following steps:
s1 basic data preparation: creating an element with a unique identifier and setting an element rule, creating a scientific research medical record template, setting scientific research projects in the scientific research medical record template, binding the scientific research projects with the element, and then releasing the scientific research medical record template to a basic database;
s2 scientific research medical record data acquisition: calling a corresponding scientific research medical record template according to a scientific research project, filling and writing scientific research patient data into the scientific research medical record template to form a scientific research medical record and storing the scientific research medical record into a clinical database, wherein the scientific research patient data are correspondingly bound to each element with a unique identifier and correspond to unique time information;
s3, cleaning scientific research medical record data: creating scientific research projects, importing corresponding scientific research medical records in the clinical database, cleaning the scientific research medical record data according to element rules, and storing the cleaned scientific research medical record data in the scientific research database.
According to an embodiment of the present invention, the creating method of the uniquely identified elements in step S1 configures each of the elements with a unique corresponding code.
According to one embodiment of the invention, after a patient is diagnosed by a doctor, if the diagnosis belongs to a scientific research project, the corresponding scientific research case history template is called and the scientific research case history is filled, otherwise, a common case history is written.
According to an embodiment of the present invention, the scientific research data of the scientific research patient is extracted from the clinical database at regular time in step S3.
According to an embodiment of the present invention, the step S1 maintains attributes of the element, which include data type, size, length and classification, and are bound to the unique identifier of the element.
According to an embodiment of the present invention, the creating a scientific research project in step S3 includes the following steps:
s301, creating modules, wherein elements created before are freely selected on a module maintenance interface, and one module consists of a plurality of elements;
s302, creating an access interface, wherein one access interface consists of a plurality of modules;
s303, creating scientific research projects, wherein one scientific research project consists of a plurality of visiting interfaces.
According to an embodiment of the present invention, in step S3, the step of cleaning scientific research data includes the following steps:
s311, selecting the created scientific research projects;
s312, selecting scientific research patients under scientific research projects;
s313, displaying an access interface, and importing corresponding scientific research patient data in the access interface according to the unique identifier bound by the elements;
s314, performing data verification and logic inspection on all scientific research patient data of the visiting interface according to the element rules;
s315, for data in question in the visit interface, sending a question to a corresponding doctor to remind the doctor to modify the data so as to ensure the accuracy of the data of the scientific research patient;
s316, exporting the scientific research patient data corresponding to all the cleaned elements, and carrying out statistical analysis and utilization on the scientific research patient data.
On the other hand, in order to realize the data acquisition, the invention also provides a data acquisition system applied to clinical scientific research, which comprises:
the element library maintenance module is used for creating an element library, and each element in the element library has a unique identifier;
the medical record template editing module is used for creating a scientific research medical record template and binding the scientific research medical record template to elements in the element library;
and the scientific research system is used for extracting and cleaning scientific research data from the medical record database and generating final scientific research data.
On the other hand, in order to realize the data acquisition, the invention also provides a data acquisition system applied to clinical scientific research, which comprises:
the element library is configured to create and store a plurality of elements, and each element is associated with a unique identifier;
a scientific research medical record template configured to create a plurality of filling entries, each filling entry associated with a unique identifier of an element, the filling entries including an entry topic corresponding to an element and a filling area configured to be able to fill in text content;
a text content input module configured to obtain input and generate text content in the filling area;
a clinical database configured to store the scientific medical records;
the labeling module is configured to collect text contents in the same filling entry of a plurality of scientific research medical records, perform word segmentation and labeling on the text contents by using a comparison table of entity nouns and parts of speech to obtain a training corpus, obtain a part of speech model according to the training corpus, and associate the part of speech model with the unique identifier of the corresponding filling entry;
the training module is configured to calculate the training corpus by using a conditional random field algorithm and a feature template to obtain a word segmentation model, and associate the word segmentation model with the unique identifier of the corresponding filling entry;
a scientific research form configured to create a plurality of entry entries, the entry entries including elements and entry areas configured to be able to be filled in with scientific data, the elements corresponding to one element and being associated with the same unique identifier; limiting part-of-speech labels corresponding to the scientific research data;
the segmentation module is configured to perform segmentation on the text content of the filling entries with the same unique identifier in a scientific research medical record by using a segmentation model to obtain a segmentation set;
the part of speech acquisition module is used for inputting the word segmentation set into word segmentation models with the same unique identifier to obtain a part of speech tagging set;
and the input module is used for obtaining a corresponding participle set and a part-of-speech tagging set through the unique identifier, and filling the corresponding participle as scientific research data into the input area according to the part-of-speech tagging corresponding to the scientific research data.
According to one embodiment of the invention, the scientific form is further configured to define at least one characteristic threshold for the participles in the scientific data;
the data acquisition system further comprises a verification module configured to compare the actual feature values of the participles in the scientific research data with the feature threshold and give a verification result.
According to an embodiment of the invention, the scientific research medical records and the scientific research forms are classified according to the categories of the subjects of the hospital, elements in the scientific research medical records under each subject are suitable for the demands of the subjects, and elements in the scientific research forms under each subject are suitable for the demands of the subjects.
According to an embodiment of the invention, the system further comprises a selecting module, which is configured to add or delete filling items in the scientific research medical record and is also configured to add or delete entry items in the scientific research form.
According to one embodiment of the invention, the system further comprises a scientific research visit module configured to synthesize a plurality of the scientific research forms.
According to one embodiment of the invention, the system further comprises a scientific research project module configured to integrate a plurality of scientific research visit modules.
The data acquisition system applied to clinical scientific research unifies elements contained in scientific research medical records and scientific research forms, so that the scientific research data in the scientific research forms and the text contents in the scientific research medical records have unified data standards, and the authenticity and traceability of the scientific research data are ensured.
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The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a flow chart of a data acquisition method applied to clinical research in accordance with the present invention;
FIG. 2 is a block diagram of an embodiment of a data acquisition system for clinical research applications in accordance with the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As shown in fig. 1, the data acquisition method applied to clinical research of the present invention includes the following steps:
s1 basic data preparation: creating an element with a unique identifier and setting an element rule, creating a scientific research medical record template, setting scientific research projects in the scientific research medical record template, binding the scientific research projects and the element, and then releasing the scientific research medical record template to a basic database;
s2 scientific research medical record data acquisition: calling a corresponding scientific research medical record template according to a scientific research project, filling the data of scientific research patients into the scientific research medical record template to form a scientific research medical record, and storing the scientific research medical record into a clinical database, wherein the data of the scientific research patients are correspondingly bound to each element with the unique identifier and correspond to unique time information;
s3, cleaning scientific research medical record data: creating scientific research projects, importing corresponding scientific research medical records in a clinical database, cleaning the scientific research medical record data according to element rules, and storing the cleaned scientific research medical record data in the scientific research database.
According to an embodiment of the present invention, the creating method of the uniquely identified elements in step S1 configures each element with a unique corresponding code, which may be binary or decimal, for example, creating the elements: body temperature, binding a unique code: 000001, attributes of the element, including data type, size, length, and category, may be maintained in step S1, and bound to the unique identifier of the element, that is, the attribute of the element may correspond to the unique identifier, and element rules for cleaning scientific data, such as body temperature, may be set in step S1, where the element rules are 36-38 degrees.
According to an embodiment of the invention, after the patient is diagnosed by the doctor in step S2, if the diagnosis belongs to a scientific research project, the corresponding scientific research case history template is called and the scientific research case history is filled, otherwise, a common case history is written, during the filling of the scientific research illness, since the scientific research case history template binds specific elements, the scientific research data also corresponds to the elements and the unique identifiers of the elements, and meanwhile, in order to accurately call the scientific research data, the scientific research data is configured to correspond to unique time information, that is, time information needs to be input every time the duration of the scientific research illness is filled.
According to an embodiment of the invention, in step S3, scientific research patient data is extracted from the clinical database at regular time, the scientific research patient data is called according to the unique identifier of the element and the unique corresponding time information, the plurality of unique corresponding time information form a timestamp, the scientific research data at a plurality of different time points can be obtained through the timestamp, and the required scientific research data is called according to the timestamp when the data is called.
According to an embodiment of the present invention, the creating a scientific research project in step S3 includes the following steps:
s301, creating modules, wherein elements created before are freely selected on a module maintenance interface, and one module consists of a plurality of elements;
s302, creating an access interface, wherein one access interface consists of a plurality of modules;
s303, creating scientific research projects, wherein one scientific research project consists of a plurality of visiting interfaces.
According to an embodiment of the present invention, the step of cleaning the scientific data in step S3 includes the steps of:
s311, selecting the created scientific research projects;
s312, selecting scientific research patients under scientific research projects;
s313, displaying an access interface, and importing corresponding scientific research patient data in the access interface according to the unique identifier bound by the elements and the unique corresponding time information;
s314, performing data verification and logic inspection on all scientific research patient data of the visiting interface according to the element rules;
s315, for data in question in the visit interface, sending a question to a corresponding doctor to remind the doctor to modify the data so as to ensure the accuracy of the data of the scientific research patient;
s316, exporting the scientific research patient data corresponding to all the cleaned elements, and carrying out statistical analysis and utilization on the scientific research patient data.
The invention also provides a data acquisition system applied to clinical scientific research, which comprises:
the element library maintenance module is used for creating an element library, and each element in the element library has a unique identifier;
the medical record template editing module is used for creating a scientific research medical record template and binding the scientific research medical record template to elements in the element library;
and the scientific research system is used for extracting scientific research data from the clinical database, cleaning the scientific research data and generating final scientific research data.
As shown in fig. 2, the present invention provides a data acquisition system for clinical research, including:
the element library is configured to be created and stored with a plurality of elements, and each element is associated with a unique identifier; elements refer to, for example, body temperature, symptoms, medication, tumor type, and the like.
A scientific research medical record configured to create a plurality of filling entries, each filling entry associated with a unique identifier of an element, the filling entries including entry topics corresponding to the element and filling areas configured to be able to fill in text content; for example, the entry corresponding to the element body temperature is subject to body temperature and the text content is 38 ℃; the item corresponding to the element symptom is mainly the symptom, and the text content is fever.
A text content input module configured to obtain input and generate text content in the filling area; the medical staff can input the text content in the filling area of the scientific research case history through the text content input module, and the filling area can also directly obtain the text content from other systems through the text content input module, for example, directly obtain a blood test result from a blood test department.
A clinical database configured to store scientific medical records.
The labeling module is configured to collect text contents in the same filling entry of a plurality of scientific research medical records, perform word segmentation and labeling on the text contents by using a comparison table of entity nouns and parts of speech to obtain a training corpus, obtain a part of speech model according to the training corpus, and associate the part of speech model with the unique identifier of the corresponding filling entry; referring to table 1, it can be seen that the entity nouns and word parts corresponding to different elements are different and have the same place.
The training module is configured to calculate the training corpus by using a conditional random field algorithm and a feature template to obtain a word segmentation model, and associate the word segmentation model with the unique identifier of the corresponding filling entry;
entity noun Part-of-speech tagging Examples of such applications are Element(s) Unique identification
Numerical value SZ 37/36.5/38 Body temperature 000001
Unit of DW Body temperature 000001
Adjectives XRC Benign and malignant Tumor type 000005
Name of scholars XM Uterine fibroid Tumor type 000005
Adjectives XRC Pulverizability, mild degree Fracture of bone 000233
Location of a body part BW Leg and hand Fracture of bone 000233
TABLE 1
A scientific research form configured to create a plurality of entry entries, the entry entries including elements and entry areas configured to be able to fill in scientific research data, the elements corresponding to one element and being associated with the same unique identifier; limiting part-of-speech labels corresponding to scientific research data;
the segmentation module is configured to perform segmentation on the text content of the filling entries with the same unique identifier in a scientific research medical record by using a segmentation model to obtain a segmentation set;
the part of speech acquisition module is used for inputting the word segmentation sets into the word segmentation models with the same unique identifier to obtain a part of speech tagging set;
and the input module is used for obtaining a corresponding participle set and a part-of-speech tagging set through the unique identifier, and filling the corresponding participle as scientific research data into an input area according to the part-of-speech tagging corresponding to the scientific research data.
In other embodiments, the scientific form is further configured to define at least one characteristic threshold for the participles in the scientific data; for example, if the item is subject to body temperature, the corresponding scientific research data is 45 ℃, and a characteristic threshold value for limiting the body temperature is 40 ℃, then the input data is obviously wrong, and then the verification module compares the actual characteristic value of the participles in the scientific research data with the characteristic threshold value and provides a verification result, and informs medical staff to explain the wrong condition.
According to other embodiments, the scientific research medical records and the scientific research forms are classified according to the categories of the subjects of the hospital, elements in the scientific research medical records under each subject are suitable for the demands of the subjects, and elements in the scientific research forms under each subject are suitable for the demands of the subjects. For example, the internal medical scientific medical record contains elements such as visceral names, symptoms and the like, and the orthopedic scientific medical record contains elements such as bone fractures, bone marrow, symptoms and the like. The scientific research medical records and scientific research forms corresponding to each subject are provided with an entry library, medical staff can select required filling entries from the entry library to add to the scientific research medical records for adding, or delete some filling entries from the scientific research medical records through a selection module, and can add or delete input entries in the scientific research forms through the selection module.
Besides, the system also comprises a scientific research visit module and a scientific research project module, wherein the scientific research visit module integrates a plurality of scientific research forms, and the scientific research project integrates a plurality of scientific research visit modules.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. 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 apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram 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 apparatus 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 flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (9)

1. A data acquisition method applied to clinical scientific research is characterized by comprising the following steps: the method comprises the following steps:
s1 basic data preparation: creating an element with a unique identifier and setting an element rule, creating a scientific research medical record template, setting scientific research projects in the scientific research medical record template, binding the scientific research projects with the element, and then releasing the scientific research medical record template to a basic database;
s2 scientific research medical record data acquisition: calling a corresponding scientific research medical record template according to a scientific research project, filling and writing scientific research patient data into the scientific research medical record template to form a scientific research medical record and storing the scientific research medical record into a clinical database, wherein the scientific research patient data are correspondingly bound to each element with a unique identifier and correspond to unique time information;
s3, cleaning scientific research medical record data: creating scientific research projects, importing corresponding scientific research patient data in the clinical database according to the unique identification and the unique corresponding time information of the element, cleaning the scientific research patient data according to element rules, and storing the cleaned scientific research patient data in the scientific research database;
the element library is configured to create and store a plurality of elements, and each element is associated with a unique identifier;
a scientific research medical record template configured to create a plurality of filling entries, each filling entry associated with a unique identifier of an element, the filling entries including an entry topic corresponding to an element and a filling area configured to be able to fill in text content;
a text content input module configured to obtain input and generate text content in the filling area;
a clinical database configured to store scientific medical records;
the labeling module is configured to collect text contents in the same filling entry of a plurality of scientific research medical records, perform word segmentation and labeling on the text contents by using a comparison table of entity nouns and parts of speech to obtain a training corpus, obtain a part of speech model according to the training corpus, and associate the part of speech model with the unique identifier of the corresponding filling entry;
the training module is configured to calculate the training corpus by using the characteristic template to obtain a word segmentation model, and associate the word segmentation model with the unique identifier of the corresponding filling item;
the scientific research form is configured to create a plurality of entry entries, each entry comprises an element and an entry area configured to be filled in scientific research data, and the elements correspond to one part of speech tag and are associated with the same unique identifier; limiting part-of-speech labels corresponding to the scientific research data;
the segmentation module is configured to perform segmentation on the text content of the filling entries with the same unique identifier in a scientific research medical record by using a segmentation model to obtain a segmentation set;
the part of speech acquisition module is used for inputting the word segmentation set into word segmentation models with the same unique identifier to obtain a part of speech tagging set;
and the input module is used for obtaining a corresponding participle set and a part-of-speech tagging set through the unique identifier, and filling the corresponding participle as scientific research data into the input area according to the part-of-speech tagging corresponding to the scientific research data.
2. The data acquisition method applied to clinical scientific research as claimed in claim 1, wherein: the creating method of the uniquely identified elements in the step S1 configures a unique corresponding code for each of the elements, the properties of the elements are maintained in the step S1, the properties of the elements include data type, size, length and classification, and are bound to the unique identifiers of the elements; in step S2, after the patient is diagnosed by the doctor, if the diagnosis belongs to a scientific research project, the corresponding scientific research case history template is called and the scientific research case history is filled, otherwise, a common case history is written, and in step S3, the data of the scientific research patient is extracted from the clinical database at regular time.
3. The data acquisition method applied to clinical scientific research as claimed in claim 1, wherein: in step S3, creating a scientific research project includes the following steps:
s301, creating modules, wherein elements created before are freely selected on a module maintenance interface, and one module consists of a plurality of elements;
s302, creating an access interface, wherein one access interface consists of a plurality of modules;
s303, creating scientific research projects, wherein one scientific research project consists of a plurality of visiting interfaces.
4. A data acquisition method applied to clinical research according to claim 3, wherein: in step S3, the step of cleaning the scientific research data includes the steps of:
s311, selecting the created scientific research projects;
s312, selecting scientific research patients under scientific research projects;
s313, displaying an access interface, and importing corresponding scientific research patient data in the access interface according to the unique identifier bound by the elements and the unique corresponding time information;
s314, performing data verification and logic inspection on all scientific research patient data of the visiting interface according to the element rules;
s315, for data in question in the visit interface, sending a question to a corresponding doctor to remind the doctor to modify the data so as to ensure the accuracy of the data of the scientific research patient;
s316, exporting the scientific research patient data corresponding to all the cleaned elements, and carrying out statistical analysis and utilization on the scientific research patient data.
5. A data acquisition system according to claim 1, wherein the data acquisition system is used in a data acquisition method for clinical research, and comprises:
the element library maintenance module is used for creating an element library, and each element in the element library has a unique identifier;
the medical record template editing module is used for creating scientific research medical records and binding the data of scientific research patients to elements in the element library;
the scientific research system is used for extracting and cleaning scientific research patient data from the clinical database to generate final scientific research data;
the element library is configured to create and store a plurality of elements, and each element is associated with a unique identifier;
a scientific research medical record template configured to create a plurality of filling entries, each filling entry associated with a unique identifier of an element, the filling entries including an entry topic corresponding to an element and a filling area configured to be able to fill in text content;
a text content input module configured to obtain input and generate text content in the filling area;
a clinical database configured to store scientific medical records;
the labeling module is configured to collect text contents in the same filling entry of a plurality of scientific research medical records, perform word segmentation and labeling on the text contents by using a comparison table of entity nouns and parts of speech to obtain a training corpus, obtain a part of speech model according to the training corpus, and associate the part of speech model with the unique identifier of the corresponding filling entry;
the training module is configured to calculate the training corpus by using the characteristic template to obtain a word segmentation model, and associate the word segmentation model with the unique identifier of the corresponding filling item;
the scientific research form is configured to create a plurality of entry entries, each entry comprises an element and an entry area configured to be filled in scientific research data, and the elements correspond to one part of speech tag and are associated with the same unique identifier; limiting part-of-speech labels corresponding to the scientific research data;
the segmentation module is configured to perform segmentation on the text content of the filling entries with the same unique identifier in a scientific research medical record by using a segmentation model to obtain a segmentation set;
the part of speech acquisition module is used for inputting the word segmentation set into word segmentation models with the same unique identifier to obtain a part of speech tagging set;
and the input module is used for obtaining a corresponding participle set and a part-of-speech tagging set through the unique identifier, and filling the corresponding participle as scientific research data into the input area according to the part-of-speech tagging corresponding to the scientific research data.
6. The data acquisition system for clinical research application according to claim 5, wherein: the scientific form is further configured to define at least one characteristic threshold for the participles in the scientific data;
the data acquisition system further comprises a verification module configured to compare the actual feature values of the participles in the scientific research data with the feature threshold and give a verification result.
7. The data acquisition system for clinical research application according to claim 5, wherein: the scientific research medical records and the scientific research forms are classified according to the categories of the subjects of the hospital, elements in the scientific research medical records under each subject adapt to the demands of the subjects, and elements in the scientific research forms under each subject adapt to the demands of the subjects.
8. The data acquisition system for clinical research application according to claim 5, wherein: the system also comprises a selection module which is configured to add or delete filling items in the scientific research medical record and is also configured to add or delete entry items in the scientific research form.
9. The data acquisition system for clinical research according to any one of claims 5 to 8, wherein: the scientific research interview module is configured to synthesize a plurality of scientific research forms, and the scientific research project module is configured to synthesize a plurality of scientific research interview modules.
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CN110335647B (en) * 2019-06-21 2023-04-28 上海市精神卫生中心(上海市心理咨询培训中心) Clinical data standardization system and standardized data acquisition method
CN110335650A (en) * 2019-06-28 2019-10-15 贵州省人民医院 The scientific research information shared platform that a kind of clinical data and section's teaching system combine
CN112464629B (en) * 2019-09-09 2024-01-16 钉钉控股(开曼)有限公司 Form filling method and device
CN111739594B (en) * 2020-04-09 2021-06-04 卫宁健康科技集团股份有限公司 Method and system for acquiring clinical scientific research data
CN113871025A (en) * 2021-09-08 2021-12-31 四川大学华西医院 Dermatological clinical special disease database construction method and system
CN113990417B (en) * 2021-12-28 2022-09-20 上海柯林布瑞信息技术有限公司 Multi-center scientific research data and sample acquisition method and device and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106383853A (en) * 2016-08-30 2017-02-08 刘勇 Realization method and system for electronic medical record post-structuring and auxiliary diagnosis
CN107767929A (en) * 2017-11-13 2018-03-06 医渡云(北京)技术有限公司 CRF filling method, device, electronic equipment and storage medium

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140047384A1 (en) * 2012-08-08 2014-02-13 Cerner Innovation, Inc. Integrated data capture with item group key

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106383853A (en) * 2016-08-30 2017-02-08 刘勇 Realization method and system for electronic medical record post-structuring and auxiliary diagnosis
CN107767929A (en) * 2017-11-13 2018-03-06 医渡云(北京)技术有限公司 CRF filling method, device, electronic equipment and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
结直肠癌中医门诊临床路径信息系统构建研究;何斌 等;《2013中国医师协会中西医结合医师大会》;20131231;182 *

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