CN115617840A - Medical data retrieval platform construction method, system, computer and storage medium - Google Patents
Medical data retrieval platform construction method, system, computer and storage medium Download PDFInfo
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Abstract
The invention provides a construction method, a system, a computer and a storage medium of a medical data retrieval platform, wherein the method comprises the steps of extracting a target data field from a recorded medical system and a medical database, and splitting data in the target data field into a plurality of minimum storage unit data so as to respectively and correspondingly store the data in a plurality of first data tables; carrying out convergence processing on data in the first data tables, and extracting unstructured data to analyze the unstructured data into structured data; and constructing a relational database according to the structured data, and constructing a medical data retrieval platform based on the relational database so that a user can retrieve the medical data according to the medical data retrieval platform. Through the mode, the scientific research personnel can search out required medical data simply and conveniently according to the medical data search platform, so that the process of manually searching the medical data by the scientific research personnel is omitted, and the research efficiency of the scientific research personnel is greatly improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method, a system, a computer and a storage medium for constructing a medical data retrieval platform.
Background
Nowadays, in order to improve the diagnosis accuracy of diseases, a large amount of medical record data and clinical diagnosis results need to be acquired by the existing medical research institutions to perform corresponding research.
If an existing researcher needs to analyze a certain disease category, the related data must be found in various information systems. After manual recording, the patient goes to a medical record system to extract and read the medical records one by one according to the hospital admission numbers, and relevant clinical information in the medical records is screened and recorded according to scientific research conditions, for example, 200 cases meeting the conditions need to be screened, but the actual medical records needing to be read can reach 600-700, which causes the problems of time and labor consumption.
In addition, the problem of long treatment time limit still exists for most kinds of diseases to need to trail patient's treatment condition for a long time and constantly seek historical case history, last contrast data, and then conclude the requirement to patient's case history higher, the condition of omitting can hardly appear when scientific research personnel collect the case history simultaneously, leads to having increased scientific research data's the collection degree of difficulty.
Therefore, it is necessary to provide a method for conveniently and accurately retrieving medical record data required for scientific research in order to overcome the defects of the prior art.
Disclosure of Invention
Based on this, the invention aims to provide a medical data retrieval platform construction method, a medical data retrieval platform construction system, a medical data retrieval platform construction computer and a medical data retrieval storage medium, so as to provide a method capable of conveniently and accurately retrieving medical record data required by scientific research.
The first aspect of the embodiment of the invention provides a medical data retrieval platform construction method, which comprises the following steps:
extracting corresponding target data fields from recorded medical systems and medical databases based on preset research targets, and splitting data in the target data fields into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture so as to correspondingly store the minimum storage unit data into a plurality of first data tables respectively;
carrying out convergence processing on data in the first data tables, and extracting unstructured data in the converged first data tables to analyze the unstructured data into corresponding structured data;
and constructing a corresponding relational database according to the structured data, and constructing a corresponding medical data retrieval platform based on the relational database so that a user can retrieve required medical data according to the medical data retrieval platform.
The beneficial effects of the invention are: extracting corresponding target data fields from recorded medical systems and medical databases based on preset research targets, and splitting data in the target data fields into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture so as to correspondingly store the plurality of minimum storage unit data into a plurality of first data tables respectively; furthermore, convergence processing is carried out on data in the first data tables, and unstructured data in the converged first data tables are extracted, so that the unstructured data are analyzed into corresponding structured data; and finally, only a corresponding relational database is constructed according to the structured data, and a corresponding medical data retrieval platform is constructed based on the relational database, so that a user can retrieve the required medical data according to the medical data retrieval platform. Through the mode, the medical system used by each medical institution and the data in the medical database can be integrated, the required target data domain is further generated according to the data, the corresponding medical data retrieval platform is finally generated according to the target data domain, the required medical data can be simply and conveniently retrieved by scientific research personnel according to the medical data retrieval platform, the process of manually searching the medical data by the scientific research personnel is omitted, the research efficiency of the scientific research personnel is greatly improved, and the medical data retrieval platform is suitable for large-scale popularization and use.
Preferably, the step of extracting corresponding target data fields from the recorded medical system and medical database based on the preset research target includes:
acquiring original data in the medical system and the medical database respectively used by each medical institution, and dividing the original data into a plurality of original data domains according to a preset rule;
and detecting the data fields corresponding to the original data fields respectively, and matching a target data field corresponding to the preset research target to set the original data field corresponding to the target data field as the target data field.
Preferably, the step of splitting the data in the target data domain into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture, so as to correspondingly store the plurality of minimum storage unit data into a plurality of first data tables respectively includes:
calling a non-relational warehouse HBase in the preset Hadoop big data cluster architecture, and transmitting data in the target data domain to the non-relational warehouse HBase;
and splitting the data in the target data domain into a plurality of pieces of the minimum storage unit data in the non-relational repository HBase, and correspondingly storing the minimum storage unit data into a plurality of first data tables respectively.
Preferably, the step of performing convergence processing on the data in the plurality of first data tables includes:
judging whether the data in each first data table is complete or not;
if the data in each first data table is judged to be complete, extracting the patient identity information in the first data table, and retrieving the corresponding patient treatment information according to the patient identity information;
and establishing a mapping relation between the patient identity information and the patient treatment information according to a preset rule, and coding the patient identity information and the patient treatment information so as to code the patient identity information and the patient treatment information into a unified data standard.
Preferably, the step of extracting unstructured data in the converged first data table to parse the unstructured data into corresponding structured data includes:
detecting a medical record document in the first data table after the convergence processing, and setting the medical record document as the unstructured data;
extracting basic medical record data in the unstructured data according to a preset second data table, and finding out a vital sign corresponding to the basic medical record data according to a preset third data table;
integrating the base medical record data and the vital signs to generate the structured data.
Preferably, after the step of integrating the basic medical record data and the vital signs to generate the structured data, the method further comprises:
desensitizing the structured data, and storing the desensitized structured data into a preset fourth data table;
and generating the relational database according to the preset fourth data table.
Preferably, after the step of constructing a corresponding medical data retrieval platform based on the relational database so that the user retrieves the required medical data according to the medical data retrieval platform, the method further includes:
when a user retrieves required target medical data through the medical data retrieval platform, correspondingly filling the target medical data into a preset medical data template to generate a corresponding medical data report, and sending the medical data report to a mobile terminal of the user.
A second aspect of an embodiment of the present invention provides a medical data retrieval platform construction system, where the system includes:
the splitting module is used for extracting corresponding target data fields from a recorded medical system and a medical database based on a preset research target, splitting data in the target data fields into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture, and correspondingly storing the minimum storage unit data into a plurality of first data tables respectively;
the analysis module is used for carrying out convergence processing on the data in the first data tables and extracting unstructured data in the converged first data tables so as to analyze the unstructured data into corresponding structured data;
and the retrieval module is used for constructing a corresponding relational database according to the structured data and constructing a corresponding medical data retrieval platform based on the relational database so that a user can retrieve required medical data according to the medical data retrieval platform.
In the medical data retrieval platform construction system, the splitting module is specifically configured to:
acquiring original data in the medical system and the medical database respectively used by each medical institution, and dividing the original data into a plurality of original data domains according to a preset rule;
and detecting the data fields corresponding to the original data fields respectively, and matching a target data field corresponding to the preset research target to set the original data field corresponding to the target data field as the target data field.
In the medical data retrieval platform construction system, the splitting module is further specifically configured to:
calling a non-relational warehouse HBase in the preset Hadoop big data cluster architecture, and transmitting data in the target data domain to the non-relational warehouse HBase;
and splitting the data in the target data domain into a plurality of pieces of the minimum storage unit data in the non-relational repository HBase, and correspondingly storing the minimum storage unit data into a plurality of first data tables respectively.
In the medical data retrieval platform construction system, the analysis module is specifically configured to:
judging whether the data in each first data table is complete or not;
if the data in each first data table is judged to be complete, extracting the patient identity information in the first data table, and retrieving the corresponding patient treatment information according to the patient identity information;
and establishing a mapping relation between the patient identity information and the patient treatment information according to a preset rule, and coding the patient identity information and the patient treatment information so as to code the patient identity information and the patient treatment information into a unified data standard.
In the medical data retrieval platform construction system, the analysis module is further specifically configured to:
detecting a medical record document in the first data table after the convergence processing, and setting the medical record document as the unstructured data;
extracting basic medical record data in the unstructured data according to a preset second data table, and finding out a vital sign corresponding to the basic medical record data according to a preset third data table;
integrating the base medical record data and the vital signs to generate the structured data.
In the medical data retrieval platform construction system, the medical data retrieval platform construction system further includes a desensitization module, and the desensitization module is specifically configured to:
desensitizing the structured data, and storing the desensitized structured data into a preset fourth data table;
and generating the relational database according to the preset fourth data table.
In the medical data retrieval platform construction system, the medical data retrieval platform construction system further includes a sending module, and the sending module is specifically configured to:
when a user retrieves required target medical data through the medical data retrieval platform, the target medical data is correspondingly filled into a preset medical data template to generate a corresponding medical data report, and the medical data report is sent to a mobile terminal of the user.
A third aspect of the embodiments of the present invention provides a computer, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the medical data retrieval platform construction method as described above when executing the computer program.
A fourth aspect of the embodiments of the present invention provides a storage medium on which a computer program is stored, the program, when executed by a processor, implementing the medical data retrieval platform construction method as described above.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a flowchart of a medical data retrieval platform construction method according to a first embodiment of the present invention;
fig. 2 is a block diagram of a medical data retrieval platform construction system according to a sixth embodiment of the present invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully hereinafter with reference to the accompanying drawings. Several embodiments of the invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
If the existing scientific research personnel need to analyze a certain disease category, the relevant data must be found out in various information systems. After manual recording, the patient goes to a medical record system to extract and read the medical records one by one according to the hospital admission numbers, and relevant clinical information in the medical records is screened and recorded according to scientific research conditions, for example, 200 cases meeting the conditions need to be screened, but the actual medical records needing to be read can reach 600-700, which causes the problems of time and labor consumption.
In addition, the problem that the treatment time limit is long is still existing to most types of diseases to need to follow the treatment condition of patient for a long time and constantly seek historical case history, last contrast data, and then conclude the requirement to patient's case history higher, the condition of omitting can hardly appear when scientific research personnel collect the case history simultaneously, leads to having increased the collection degree of difficulty of scientific research data.
Referring to fig. 1, a method for constructing a medical data retrieval platform according to a first embodiment of the present invention is shown, and the method for constructing a medical data retrieval platform according to the first embodiment of the present invention can integrate data in a medical system and a medical database used by each medical institution, and further generate a required target data domain according to the data, so as to finally generate a corresponding medical data retrieval platform according to the target data domain, thereby enabling scientific researchers to simply and conveniently retrieve required medical data according to the medical data retrieval platform, further omitting a process of manually searching medical data by scientific researchers, greatly improving research efficiency of the scientific researchers, and being suitable for wide popularization and use.
In this embodiment, what at first needs to explain is that, the medical data search platform who constructs through this application can make scientific research personnel just can simply, quick find out the scientific research medical data of needs through the keyword that the input needs, has saved the manual process of looking for medical data of scientific research personnel to research personnel's scientific research has brought very big facility, has promoted scientific research efficiency of scientific research personnel by a wide margin, is applicable to on a large scale popularization and use.
Specifically, the method for constructing the medical data retrieval platform provided by the embodiment specifically includes the following steps:
step S10, extracting corresponding target data fields from recorded medical systems and medical databases based on preset research targets, splitting data in the target data fields into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture, and correspondingly storing the minimum storage unit data into a plurality of first data tables respectively;
specifically, in this embodiment, it should be noted that the method for constructing a medical data retrieval platform provided in this embodiment is specifically applied to a medical research institution to improve the research efficiency of the medical research institution on a disease state. In addition, in this embodiment, it should be noted that the medical data retrieval platform construction method provided in this embodiment is implemented based on a clinical data center that is constructed in advance, where the clinical data center can establish wireless communication connection with a medical system and a medical database used by each medical institution, so that the clinical data center can acquire original medical data in the medical system and the medical database.
Therefore, in this step, it should be noted that, in this embodiment, the wireless communication connection between the clinical data center and the medical systems and medical databases used by the medical institutions is pre-established, so that the current clinical data center can acquire the original medical data stored in the current medical systems and medical databases.
For convenience of implementation, it should be noted that the clinical data center provided in this embodiment is constructed based on a Hadoop big data cluster architecture, and specifically, the Hadoop (Distributed File System) big data cluster architecture is a highly extensible storage platform, and may store and distribute hundreds of cheap server data clusters operating in parallel, and meanwhile, has the characteristics of low use cost and high work efficiency.
Further, in this step, after the clinical data center acquires the required original medical data, this step converts the currently acquired original medical data in real time into a plurality of corresponding data fields, specifically, including a patient in and out transfer field, a medical advice field, a settlement cost field, an examination result field, an advice and medicine distribution field, a nursing physical sign field, a medical case field, an electronic medical record field, and the like, where it is to be noted that the data field is a data source required for clinical research and may include a plurality of medical systems and original data in a medical database. On the basis, the embodiment further finds out the required target data domain according to the preset scientific research purpose.
Furthermore, in this step, data in a target data domain acquired in real time is split into a plurality of minimum storage unit data based on the Hadoop big data cluster architecture, and meanwhile, the current plurality of minimum storage unit data are respectively stored in the corresponding plurality of first data tables. Preferably, in the present embodiment, the first data table is set as a fact table.
Step S20, carrying out convergence processing on data in the first data tables, and extracting unstructured data in the converged first data tables to analyze the unstructured data into corresponding structured data;
further, in this step, it should be noted that, after the clinical data center acquires the first data table, the clinical data center provided in this embodiment further performs convergence processing on a plurality of first data tables acquired in real time, and on this basis, this step further extracts unstructured data in the first data table after the convergence processing, specifically, in this embodiment, the unstructured data specifically refers to a medical record document written by a doctor, and further, this embodiment analyzes the unstructured data acquired in real time to analyze corresponding structured data.
And S30, constructing a corresponding relational database according to the structured data, and constructing a corresponding medical data retrieval platform based on the relational database, so that a user can retrieve required medical data according to the medical data retrieval platform.
Finally, in this step, it should be noted that, after the required structured data is obtained through the above steps, in this step, a corresponding relational database is further constructed according to the current structured data, and a corresponding medical data retrieval platform is finally constructed based on the relational database, so that in an actual use process, a scientific research worker can retrieve the required medical data in real time according to the medical data retrieval platform.
Specifically, in this embodiment, the medical data retrieval platform can perform multidimensional screening of cases according to research thoughts and requirements of doctors or scientific researchers, and the retrieval platform can implement various retrieval modes such as full-text retrieval, case search and accurate retrieval. Different query views can be established according to query requirements commonly used by doctors or scientific research personnel on the basis of existing clinical data of a hospital, for example, screening cases according to various commonly used dimensions such as diagnosis and operation is supported, and a keyword search engine index can be established for clinical information of a patient, so that retrieval aiming at unstructured information is realized. The search results display patient information and a 360-degree visit view, and the inquired medical records and the related image library are stored as a data set, so that the efficiency of medical research performed by scientific research personnel is greatly improved.
In addition, in this embodiment, it should be further described that when a scientific researcher searches medical data through the medical data search platform, the current scientific researcher only needs to input search keywords corresponding to the scientific research purpose of the current medical data search platform to the current medical data search platform, and further, the medical data search platform returns the received search keywords to the relational database, so as to search corresponding target medical data from the minimum storage unit data of each data table stored in the current relational database, and on this basis, the target medical data is captured to the display interface of the medical data search platform, so that the scientific researcher can simply and conveniently obtain the required target medical data, and further, the research efficiency of the scientific researcher can be greatly improved.
When the system is used, corresponding target data fields are extracted from a recorded medical system and a medical database based on a preset research target, and data in the target data fields are split into a plurality of minimum storage unit data through a preset Hadoop big data cluster framework, so that the minimum storage unit data are respectively and correspondingly stored in a plurality of first data tables; furthermore, convergence processing is carried out on data in the first data tables, and unstructured data in the converged first data tables are extracted, so that the unstructured data are analyzed into corresponding structured data; and finally, only a corresponding relational database is required to be constructed according to the structured data, and a corresponding medical data retrieval platform is constructed based on the relational database, so that a user can retrieve the required medical data according to the medical data retrieval platform. Through the mode, the medical system used by each medical institution and the data in the medical database can be integrated, the required target data domain is further generated according to the data, the corresponding medical data retrieval platform is finally generated according to the target data domain, the required medical data can be simply and conveniently retrieved by scientific research personnel according to the medical data retrieval platform, the process of manually searching the medical data by the scientific research personnel is omitted, the research efficiency of the scientific research personnel is greatly improved, and the medical data retrieval platform is suitable for large-scale popularization and use.
It should be noted that the implementation process described above is only for illustrating the applicability of the present application, but this does not represent that the medical data retrieval platform construction method of the present application has only the above-mentioned implementation flow, and on the contrary, the medical data retrieval platform construction method of the present application can be incorporated into the feasible embodiments of the present application as long as it can be implemented.
In summary, the construction method of the medical data retrieval platform provided by the embodiment of the invention can integrate the data in the medical systems and the medical databases used by the medical institutions, further generate the required target data fields according to the data, and finally generate the corresponding medical data retrieval platform according to the target data fields, so that the scientific research personnel can simply and conveniently retrieve the required medical data according to the medical data retrieval platform, the process of manually searching the medical data by the scientific research personnel is omitted, the research efficiency of the scientific research personnel is greatly improved, and the construction method is suitable for large-scale popularization and use.
A second embodiment of the present invention also provides a medical data retrieval platform construction method, where the medical data retrieval platform construction method provided in this embodiment is different from the medical data retrieval platform construction method provided in the first embodiment in that:
specifically, in this embodiment, it should be noted that the step of extracting the corresponding target data field from the recorded medical system and medical database based on the preset research target includes:
acquiring original data in the medical system and the medical database respectively used by each medical institution, and dividing the original data into a plurality of original data domains according to a preset rule;
and detecting the data fields corresponding to the original data fields respectively, and matching a target data field corresponding to the preset research target to set the original data field corresponding to the target data field as the target data field.
Specifically, in this embodiment, it should be noted that, in order to expand the search range as much as possible and improve the search accuracy, the clinical data center provided in this embodiment establishes a wireless communication connection with existing known medical institutions to acquire the medical systems used by the medical institutions and the original medical data stored in the medical database in real time, and on this basis, divides the data in the current original medical data into a plurality of original data fields according to different medical fields.
Further, in this embodiment, the data fields corresponding to each of the current original data fields are further detected, and meanwhile, the data fields corresponding to the current scientific research target are detected, so that the target data fields corresponding to the current scientific research target can be effectively matched, and the original data fields corresponding to the target data fields are set as the required target data fields.
It should be noted that, the method provided by the second embodiment of the present invention, which implements the same principle and produces some technical effects as the first embodiment, for the sake of brief description, the corresponding contents provided by the first embodiment may be referred to where this embodiment is not mentioned.
In summary, the construction method of the medical data retrieval platform provided by the embodiments of the present invention can integrate the data in the medical system and the medical database used by each medical institution, and further generate the required target data field according to the data, so as to finally generate the corresponding medical data retrieval platform according to the target data field, thereby enabling the scientific researchers to simply and conveniently retrieve the required medical data according to the medical data retrieval platform, further omitting the process of manually searching the medical data by the scientific researchers, greatly improving the research efficiency of the scientific researchers, and being suitable for large-scale popularization and use.
A third embodiment of the present invention also provides a medical data retrieval platform construction method, where the medical data retrieval platform construction method provided in this embodiment is different from the medical data retrieval platform construction method provided in the first embodiment in that:
further, in this embodiment, it should be noted that the step of splitting the data in the target data field into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture to respectively and correspondingly store the plurality of minimum storage unit data in a plurality of first data tables includes:
calling a non-relational warehouse HBase in the preset Hadoop big data cluster architecture, and transmitting data in the target data domain to the non-relational warehouse HBase;
and splitting the data in the target data domain into a plurality of minimum storage unit data in the non-relational repository HBase, and correspondingly storing the minimum storage unit data into a plurality of first data tables respectively.
Specifically, in this embodiment, in order to effectively complete storage of a target data domain, in this embodiment, a non-relational warehouse HBase in the Hadoop big data cluster architecture is called in real time, and meanwhile, the target data domain obtained in real time is transmitted to the non-relational warehouse HBase.
It should be noted that, the method provided by the third embodiment of the present invention, which implements the same principle and produces some technical effects as the first embodiment, may refer to the corresponding contents provided by the first embodiment for the sake of brief description, where this embodiment is not mentioned.
In summary, the construction method of the medical data retrieval platform provided by the embodiment of the invention can integrate the data in the medical systems and the medical databases used by the medical institutions, further generate the required target data fields according to the data, and finally generate the corresponding medical data retrieval platform according to the target data fields, so that the scientific research personnel can simply and conveniently retrieve the required medical data according to the medical data retrieval platform, the process of manually searching the medical data by the scientific research personnel is omitted, the research efficiency of the scientific research personnel is greatly improved, and the construction method is suitable for large-scale popularization and use.
A fourth embodiment of the present invention also provides a medical data retrieval platform construction method, where the medical data retrieval platform construction method provided in this embodiment is different from the medical data retrieval platform construction method provided in the first embodiment in that:
in addition, in this embodiment, the step of performing convergence processing on the data in the plurality of first data tables includes:
judging whether the data in each first data table is complete or not;
if the data in each first data table is judged to be complete, extracting the patient identity information in the first data table, and retrieving the corresponding patient treatment information according to the patient identity information;
and establishing a mapping relation between the patient identity information and the patient treatment information according to a preset rule, and coding the patient identity information and the patient treatment information so as to code the patient identity information and the patient treatment information into a unified data standard.
Specifically, in this embodiment, it should be noted that, after the first data tables are obtained, whether the data stored in each first data table is complete is determined in real time in this embodiment, and further, if it is determined that the data in each first data table is complete, the patient identity information currently stored in the first data table is immediately extracted correspondingly, and meanwhile, the corresponding patient visit information is retrieved according to the patient identity information. For example, the extracted patient identification information is: sex male, age 18, name Zhang III, etc. Correspondingly, the searched patient information is: and B, diagnosis items such as B-ultrasonic, blood drawing, color ultrasonic and the like.
Further, in this embodiment, it should be noted that, after the patient identity information and the patient visit information are obtained, the one-to-one correspondence between the current patient identity information and the current patient visit information is established through a preset data mapping relationship table in this embodiment, that is, the identity of the patient is associated with the visit items that have been made by the patient. On this basis, the present embodiment further performs encoding processing on the current patient identity information and the patient visit information, for example, the male and female in the patient identity information and the patient visit information are encoded into corresponding MF, so that the patient identity information and the patient visit information can be effectively encoded into a unified data standard, which is convenient for management and processing of subsequent data.
It should be noted that, the method provided by the fourth embodiment of the present invention, which implements the same principle and produces some technical effects as the first embodiment, can refer to the corresponding contents provided by the first embodiment for the sake of brief description, where this embodiment is not mentioned.
In summary, the construction method of the medical data retrieval platform provided by the embodiments of the present invention can integrate the data in the medical system and the medical database used by each medical institution, and further generate the required target data field according to the data, so as to finally generate the corresponding medical data retrieval platform according to the target data field, thereby enabling the scientific researchers to simply and conveniently retrieve the required medical data according to the medical data retrieval platform, further omitting the process of manually searching the medical data by the scientific researchers, greatly improving the research efficiency of the scientific researchers, and being suitable for large-scale popularization and use.
A fifth embodiment of the present invention also provides a medical data retrieval platform construction method, where the medical data retrieval platform construction method provided in this embodiment is different from the medical data retrieval platform construction method provided in the first embodiment in that:
in addition, in this embodiment, it should be further noted that the step of extracting the unstructured data in the converged first data table to analyze the unstructured data into corresponding structured data includes:
detecting a medical record document in the first data table after the convergence processing, and setting the medical record document as the unstructured data;
extracting basic medical record data in the unstructured data according to a preset second data table, and finding out a vital sign corresponding to the basic medical record data according to a preset third data table;
integrating the base medical record data and the vital signs to generate the structured data.
Specifically, in this embodiment, after the converged first data table is acquired, the embodiment performs a full check on the currently acquired first data table in real time to detect a medical record document in the current first data table, and at the same time, sets the medical record document as the unstructured data.
Further, in this embodiment, the basic medical record data in the current unstructured data is further extracted according to a preset second data table, where the second data table is set as an atomic fact table preset in this embodiment, the atomic fact table is a basis for extracting corresponding structured data from the unstructured data, and specifically, the atomic fact table includes medical items such as name, gender, and blood pressure. On this basis, the vital sign that corresponds with current basic medical record data can further be found out according to the third data table that sets up in advance to this embodiment, and wherein, above-mentioned third data table sets up to the gathering fact table that this embodiment has set up in advance, can be quick find out the vital sign that corresponds with above-mentioned basic medical record data through this third data table, and is specific, and this vital sign can include sign such as breathing, pulse and heartbeat.
Finally, in this embodiment, the basic medical record data and the vital signs are integrated, so that the required structured data can be obtained.
In this embodiment, it should be noted that, after the step of integrating the basic medical record data and the vital signs to generate the structured data, the method further includes:
desensitizing the structured data, and storing the desensitized structured data into a preset fourth data table;
and generating the relational database according to the preset fourth data table.
Specifically, in this embodiment, by performing desensitization processing on the structured data, sensitive data and sensitive personal information in the current structured data can be effectively filtered out, so that privacy of the patient can be effectively protected.
Furthermore, the structural data after desensitization processing is stored into a preset fourth data table, that is, a preset merge fact table in the embodiment, so that the generated structural data can be effectively stored. In addition, the required relational database can be obtained by performing the hardening process on the fourth data table.
Further, in this embodiment, it should be further noted that, after the step of constructing a corresponding medical data retrieval platform based on the relational database, so that the user retrieves the required medical data according to the medical data retrieval platform, the method further includes:
when a user retrieves required target medical data through the medical data retrieval platform, correspondingly filling the target medical data into a preset medical data template to generate a corresponding medical data report, and sending the medical data report to a mobile terminal of the user.
Specifically, in this embodiment, by generating the corresponding medical data report according to the target medical data retrieved by the scientific research personnel in real time, the time for the scientific research personnel to analyze and process the medical data can be further saved, so that the scientific research personnel can observe the required medical data more intuitively, thereby further improving the research and development efficiency of the scientific research personnel,
it should be noted that, the method provided by the fifth embodiment of the present invention, which implements the same principle and produces some technical effects as the first embodiment, may refer to the corresponding contents provided by the first embodiment for the sake of brief description, where this embodiment is not mentioned.
In summary, the construction method of the medical data retrieval platform provided by the embodiments of the present invention can integrate the data in the medical system and the medical database used by each medical institution, and further generate the required target data field according to the data, so as to finally generate the corresponding medical data retrieval platform according to the target data field, thereby enabling the scientific researchers to simply and conveniently retrieve the required medical data according to the medical data retrieval platform, further omitting the process of manually searching the medical data by the scientific researchers, greatly improving the research efficiency of the scientific researchers, and being suitable for large-scale popularization and use.
Referring to fig. 2, a medical data retrieval platform construction system according to a sixth embodiment of the present invention is shown, the system includes:
the splitting module 12 is configured to extract a corresponding target data domain from a recorded medical system and a medical database based on a preset research target, and split data in the target data domain into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture, so as to correspondingly store the plurality of minimum storage unit data into a plurality of first data tables respectively;
the analysis module 22 is configured to perform convergence processing on data in the plurality of first data tables, and extract unstructured data in the first data tables after the convergence processing, so as to analyze the unstructured data into corresponding structured data;
and the retrieval module 32 is configured to construct a corresponding relational database according to the structured data, and construct a corresponding medical data retrieval platform based on the relational database, so that a user retrieves required medical data according to the medical data retrieval platform.
In the medical data retrieval platform construction system, the splitting module 12 is specifically configured to:
acquiring original data in the medical system and the medical database respectively used by each medical institution, and dividing the original data into a plurality of original data domains according to a preset rule;
and detecting data fields corresponding to the original data fields respectively, and matching a target data field corresponding to the preset research target to set the original data field corresponding to the target data field as the target data field.
In the medical data retrieval platform construction system, the splitting module 12 is further specifically configured to:
calling a non-relational warehouse HBase in the preset Hadoop big data cluster architecture, and transmitting data in the target data domain to the non-relational warehouse HBase;
and splitting the data in the target data domain into a plurality of minimum storage unit data in the non-relational repository HBase, and correspondingly storing the minimum storage unit data into a plurality of first data tables respectively.
In the medical data retrieval platform construction system, the analysis module 22 is specifically configured to:
judging whether the data in each first data table is complete or not;
if the data in each first data table is judged to be complete, extracting the patient identity information in the first data table, and retrieving the corresponding patient treatment information according to the patient identity information;
and establishing a mapping relation between the patient identity information and the patient treatment information according to a preset rule, and coding the patient identity information and the patient treatment information so as to code the patient identity information and the patient treatment information into a unified data standard.
In the above medical data retrieval platform construction system, the analysis module 22 is further specifically configured to:
detecting a medical record document in the first data table after the convergence processing, and setting the medical record document as the unstructured data;
extracting basic medical record data in the unstructured data according to a preset second data table, and finding out a vital sign corresponding to the basic medical record data according to a preset third data table;
integrating the base medical record data and the vital signs to generate the structured data.
In the medical data retrieval platform construction system, the medical data retrieval platform construction system further includes a desensitization module 42, and the desensitization module 42 is specifically configured to:
desensitizing the structured data, and storing the desensitized structured data into a preset fourth data table;
and generating the relational database according to the preset fourth data table.
In the medical data retrieval platform construction system, the medical data retrieval platform construction system further includes a sending module 52, and the sending module 52 is specifically configured to:
when a user retrieves required target medical data through the medical data retrieval platform, the target medical data is correspondingly filled into a preset medical data template to generate a corresponding medical data report, and the medical data report is sent to a mobile terminal of the user.
A seventh embodiment of the present invention provides a computer, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the medical data retrieval platform construction method provided in the above embodiment.
An eighth embodiment of the present invention provides a storage medium on which a computer program is stored, which when executed by a processor, implements the medical data retrieval platform construction method provided in the above-described embodiments.
In summary, the method, the system, the computer and the storage medium for constructing a medical data retrieval platform according to the embodiments of the present invention can integrate data in medical systems and medical databases used by various medical institutions, and further generate a required target data field according to the data, so as to finally generate a corresponding medical data retrieval platform according to the target data field, thereby enabling scientific researchers to simply and conveniently retrieve required medical data according to the medical data retrieval platform, further omitting a process of manually searching medical data by scientific researchers, greatly improving research efficiency of the scientific researchers, and being suitable for wide-scale popularization and use.
It should be noted that the above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following technologies, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A medical data retrieval platform construction method is characterized by comprising the following steps:
extracting corresponding target data fields from recorded medical systems and medical databases based on preset research targets, and splitting data in the target data fields into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture so as to correspondingly store the minimum storage unit data into a plurality of first data tables respectively;
carrying out convergence processing on data in the first data tables, and extracting unstructured data in the converged first data tables to analyze the unstructured data into corresponding structured data;
and constructing a corresponding relational database according to the structured data, and constructing a corresponding medical data retrieval platform based on the relational database.
2. The medical data retrieval platform construction method according to claim 1, wherein: the step of extracting corresponding target data fields from the recorded medical system and medical database based on the preset research target comprises:
acquiring original data in the medical system and the medical database respectively used by each medical institution, and dividing the original data into a plurality of original data domains according to a preset rule;
and detecting data fields corresponding to the original data fields respectively, and matching a target data field corresponding to the preset research target to set the original data field corresponding to the target data field as the target data field.
3. The medical data retrieval platform construction method according to claim 1, wherein: the step of splitting the data in the target data domain into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture to correspondingly store the plurality of minimum storage unit data into a plurality of first data tables respectively comprises the following steps:
calling a non-relational warehouse HBase in the preset Hadoop big data cluster architecture, and transmitting data in the target data domain to the non-relational warehouse HBase;
and splitting the data in the target data domain into a plurality of pieces of the minimum storage unit data in the non-relational repository HBase, and correspondingly storing the minimum storage unit data into a plurality of first data tables respectively.
4. The medical data retrieval platform construction method according to claim 1, wherein: the step of performing convergence processing on the data in the plurality of first data tables comprises:
judging whether the data in each first data table is complete or not;
if the data in each first data table is judged to be complete, extracting the identity information of the patient in the first data table, and retrieving the corresponding patient treatment information according to the identity information of the patient;
and establishing a mapping relation between the patient identity information and the patient treatment information according to a preset rule, and coding the patient identity information and the patient treatment information so as to code the patient identity information and the patient treatment information into a unified data standard.
5. The medical data retrieval platform construction method according to claim 1, wherein: the step of extracting the unstructured data in the converged first data table to parse the unstructured data into corresponding structured data comprises:
detecting a medical record document in the first data table after the convergence processing, and setting the medical record document as the unstructured data;
extracting basic medical record data in the unstructured data according to a preset second data table, and finding out a vital sign corresponding to the basic medical record data according to a preset third data table;
integrating the base medical record data and the vital signs to generate the structured data.
6. The medical data retrieval platform construction method according to claim 5, wherein: after the step of integrating the base medical record data and the vital signs to generate the structured data, the method further comprises:
desensitizing the structured data, and storing the desensitized structured data into a preset fourth data table;
and generating the relational database according to the preset fourth data table.
7. The medical data retrieval platform construction method according to claim 1, wherein: after the step of constructing a corresponding medical data retrieval platform based on the relational database so that the user retrieves the required medical data according to the medical data retrieval platform, the method further comprises:
when a user retrieves required target medical data through the medical data retrieval platform, the target medical data is correspondingly filled into a preset medical data template to generate a corresponding medical data report, and the medical data report is sent to a mobile terminal of the user.
8. A medical data retrieval platform construction system, the system comprising:
the splitting module is used for extracting a corresponding target data domain from a recorded medical system and a medical database based on a preset research target, splitting data in the target data domain into a plurality of minimum storage unit data through a preset Hadoop big data cluster architecture, and correspondingly storing the plurality of minimum storage unit data into a plurality of first data tables respectively;
the analysis module is used for carrying out convergence processing on data in the first data tables and extracting unstructured data in the converged first data tables so as to analyze the unstructured data into corresponding structured data;
and the retrieval module is used for constructing a corresponding relational database according to the structured data and constructing a corresponding medical data retrieval platform based on the relational database so that a user can retrieve required medical data according to the medical data retrieval platform.
9. A computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the medical data retrieval platform construction method according to any one of claims 1 to 7 when executing the computer program.
10. A storage medium on which a computer program is stored, which program, when being executed by a processor, carries out a medical data retrieval platform construction method according to any one of claims 1 to 7.
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Inventor after: Cui Jian Inventor after: He Changhai Inventor after: Zeng Zhongan Inventor after: Fan Haidong Inventor after: Ye Kai Inventor after: Ding Chuan Inventor after: Lu Bingqing Inventor before: Cui Jian Inventor before: Ji Zhengrong Inventor before: He Changhai Inventor before: Zeng Zhongan Inventor before: Fan Haidong Inventor before: Ye Kai Inventor before: Ding Chuan Inventor before: Lu Bingqing |