CN111199800A - Data processing method and device for patient main index information - Google Patents

Data processing method and device for patient main index information Download PDF

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Publication number
CN111199800A
CN111199800A CN201811365742.9A CN201811365742A CN111199800A CN 111199800 A CN111199800 A CN 111199800A CN 201811365742 A CN201811365742 A CN 201811365742A CN 111199800 A CN111199800 A CN 111199800A
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patient
index information
main index
data
main
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陈逸龙
陆广林
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Guangzhou Tianpeng Computer Technology Co ltd
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Guangzhou Tianpeng Computer Technology Co ltd
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

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  • Health & Medical Sciences (AREA)
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Abstract

The application relates to a data processing method and device for patient main index information. The method comprises the following steps: acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information; converting the patient main index information to obtain first patient main index information corresponding to the patient data; and sending the first patient main index information and the patient main index information to at least one second hospital database, recalculating the second patient main index information, and forming boundary pair-wise associated main index information by associating the patient main index information with the first patient main index. By adopting the method, a unified main index mechanism in a plurality of data domains can be realized in a distributed manner, main index information suitable for all hospital platforms is generated, and the sharing degree of data in the hospital platform data domains is improved; the method can be applied to the scene of a multi-hospital platform, the problem of main index calculation consistency in a multi-hospital cloud computing environment is solved, and the application use of the main index information of the patient is increased.

Description

Data processing method and device for patient main index information
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method and apparatus for patient primary index information, a computer device, and a storage medium.
Background
The patient master index information is information that can uniquely identify a patient in a hospital database. The patient master index is a mechanism for generating a unique patient identification or determining whether the patient belongs to the same patient based on certain specific attributes of the patient.
Common patient-specific attributes include credential information, name, gender, year, month, day of birth, etc.; the existing patient indexing technology is limited within the scope of a certain hospital. That is, the patient main index information only used in the hospital can be generated only based on the patient main index information collected in the hospital, so that the limitation is high, the requirement of the application scene of the multi-hospital database cannot be met, and the application use of the patient main index information is reduced. If a global (all hospitals) unified patient indexing technology is adopted, the maintenance cost is too high, the expansibility is poor, and the limitation of a hospital network is generated.
Disclosure of Invention
In view of the above, it is necessary to provide a distributed data processing method, apparatus, computer device and storage medium for hospital database capable of increasing the application use of patient master index information in view of the above technical problems.
A method of data processing of patient primary index information, the method comprising:
acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
converting the patient main index information to obtain first patient main index information corresponding to the patient data;
sending the first patient primary index information and the patient primary index information to at least one second hospital database.
In one embodiment, the converting the patient primary index information to obtain the first patient primary index information corresponding to the patient data includes:
extracting main index information of the patient in the patient data;
screening out key index information in the main index information of the patient;
and generating the first patient main index information according to the key index information and a preset weight value.
In one embodiment, the acquiring patient data of at least one first hospital database includes:
and acquiring main index information of the patient subjected to desensitization treatment in the patient data.
In one embodiment, the extracting patient primary index information from the patient data includes:
and extracting the patient data according to a preset extraction sequence to obtain the main index information of the patient.
In one embodiment, the second hospital database includes second patient primary index information; the second hospital database is used for storing the combined first patient main index information and the second patient main index information.
In one embodiment, the generating the first patient primary index information according to the key index information and a preset weight value includes:
and inputting the key index information and the corresponding preset weight value into a specific algorithm to obtain the output first patient main index information.
A data processing apparatus for patient primary index information, the apparatus comprising:
a patient data acquisition module for acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
the conversion module is used for converting the patient main index information to obtain first patient main index information corresponding to the patient data;
a sending module for sending the first patient primary index information and the patient primary index information to at least one second hospital database.
In one embodiment, the conversion module comprises:
the extraction submodule is used for extracting main index information of the patient in the patient data;
the screening submodule is used for screening out key index information in the main index information of the patient;
and the generation submodule is used for generating the first patient main index information according to the key index information and a preset weight value.
In one embodiment, the patient data acquisition module comprises:
and the patient main index information acquisition submodule is used for acquiring patient main index information which is subjected to desensitization treatment in the patient data.
In one embodiment, the extraction sub-module comprises:
and the extraction unit is used for extracting the patient data according to a preset extraction sequence to obtain the main index information of the patient.
In one embodiment, the second hospital database includes second patient primary index information; the second hospital database is used for storing the combined first patient main index information and the second patient main index information.
In one embodiment, the generating sub-module includes:
and the obtaining unit is used for inputting the key index information and the corresponding preset weight value into a specific algorithm to obtain the output first patient main index information.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
converting the patient main index information to obtain first patient main index information corresponding to the patient data;
sending the first patient primary index information and the patient primary index information to at least one second hospital database.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
converting the patient main index information to obtain first patient main index information corresponding to the patient data;
sending the first patient primary index information and the patient primary index information to at least one second hospital database.
The data processing method, the data processing device, the computer equipment and the storage medium of the patient main index information are used for acquiring the patient data of at least one first hospital database; wherein the patient data includes patient primary index information; converting the patient main index information to obtain first patient main index information corresponding to the patient data; sending the first patient primary index information and the patient primary index information to at least one second hospital database; the unified main index mechanism in a plurality of data fields is realized, main index information suitable for all hospital platforms is generated, and the sharing degree of data in the hospital platform data fields is improved; the method can be applied to the scene of a multi-hospital platform, the problem of main index calculation consistency in a multi-hospital cloud computing environment is solved, and the application use of the main index information of the patient is increased.
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FIG. 1 is a diagram of an application environment of a data processing method of patient primary index information according to an embodiment;
FIG. 2 is a flow diagram of a method for processing data of patient primary index information, according to an embodiment;
FIG. 3 is a block diagram of a data processing apparatus for patient primary index information according to an embodiment;
FIG. 4 is an internal block diagram of a computer device of an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The data processing method of the patient main index information provided by the application can be applied to the application environment shown in fig. 1. The cloud platform 102 communicates with the first hospital platform 104 and the second hospital platform 106 via a network. The cloud platform 102, the first hospital platform 104, and the second hospital platform 106 may be, but are not limited to, various personal computers, notebook computers, smart phones, tablet computers, portable wearable devices, and servers, and the servers may be implemented by independent servers or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a data processing method for patient primary index information is provided, which is described by taking the method as an example applied to the cloud platform 102 in fig. 1, and includes the following steps:
step S201, acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
in this embodiment, the first hospital platform may include a first hospital database, which may be used to store patient data; the patient data may include patient ID, name, date of birth, gender, race, patient address, telephone number, marital status, social security number, identification number, nationality, driver's license number, place of birth, nationality, native language, birth sequence, latest update date, last update institution, hospital number for visit hospital, clinic number and time of stay for visit hospital, etc.; this embodiment is not limited thereto.
It should be noted that the patient data may include patient primary index information, which may be information capable of uniquely identifying a patient, such as name, gender, date of birth, etc., and each hospital platform may be regarded as a data field; patient data corresponding to a plurality of patients can be included in each data field; i.e., each data field may include patient primary index information for each patient.
Further, the first hospital platform may generate the patient primary index information of the data field corresponding to the first hospital platform according to the patient primary index information, and the patient primary index information may be a unique identifier of the patient in the data field.
In a specific application of this embodiment, the cloud platform may acquire the patient data of the at least one first hospital database through a network; i.e. the cloud platform may be integrated with patient data of one or more first hospital platforms.
Specifically, the cloud platform may first acquire a storage path of patient data in a certain first hospital platform, and acquire the patient data according to the storage path.
It should be further noted that the first hospital platform and the second hospital platform in fig. 1 are only examples of this embodiment, and the cloud platform may also be connected to other hospital platforms through a network, for example, the cloud platform may be connected to a third hospital platform, a fourth hospital platform, and the like through a network, and this embodiment does not limit the number, types, and the like of the hospital platforms.
Step S202, converting the patient main index information to obtain first patient main index information corresponding to the patient data;
further applied to this embodiment, after the cloud platform obtains the patient data of the at least one first hospital database, the patient main index information in the patient data is extracted; and the cloud platform converts the main index information of the patient to generate first main index information of the patient corresponding to the patient data.
That is, in this embodiment, the cloud platform may generate first patient master index information of a data field corresponding to the cloud platform, and the first patient master index information may be applied to the data field corresponding to the cloud platform, and of course, the first patient master index information may also be applied to other adjacent data fields; for example, the first patient master index information may be applied to data fields corresponding to the cloud platform, and may also be applied to data fields corresponding to the first hospital platform, the second hospital platform, and the like, that is, the first patient master index information may be applied to a scenario of a multi-hospital platform that may directly perform data exchange, thereby solving the problem of master index calculation consistency in a multi-hospital cloud computing environment.
Specifically, the cloud platform may be preset with a primary index mapping algorithm, and after the cloud platform obtains the primary patient index information, the cloud platform inputs the primary patient index information to the primary index mapping algorithm to obtain first primary patient index information corresponding to patient data.
It should be noted that the first patient master index information may create a master index Identifier created by a Locally Unique Identifier (LUID); and the LUID is a numeric identifier of 128 bits in binary length generated by the algorithm; the data security is further improved. Each data field possesses a respective locally unique identifier. A uniform unique identifier system with global significance is formed through conversion mapping of data field boundaries, so that a patient is uniquely identified.
Step S203, sending the first patient primary index information and the patient primary index information to at least one second hospital database.
Actually applied to this embodiment, the cloud platform may send the obtained first patient main index information and the corresponding patient main index information to one or more second hospital databases; that is, the cloud platform may send the obtained first patient main index information and the corresponding patient main index information to the data fields corresponding to the one or more second hospital platforms, so that a unified main index mechanism in a plurality of data fields is realized; further, the patient data may also be sent to one or more data fields corresponding to a second hospital platform.
In this embodiment, the cloud platform obtains patient data of at least one first hospital database; wherein the patient data includes patient primary index information; converting the patient main index information to obtain first patient main index information corresponding to the patient data; sending the first patient primary index information and the patient primary index information to at least one second hospital database; the unified main index mechanism in a plurality of data fields is realized, main index information suitable for all hospital platforms is generated, and the sharing degree of data in the hospital platform data fields is improved; the method can be applied to the scene of a multi-hospital platform, the problem of main index calculation consistency in a multi-hospital cloud computing environment is solved, and the application use of the main index information of the patient is increased.
In another embodiment, step S202 includes: extracting main index information of the patient in the patient data; screening out key index information in the main index information of the patient; and generating the first patient main index information according to the key index information and a preset weight value.
In an example of this embodiment, after obtaining the patient data, the cloud platform may first extract patient main index information in the patient data, screen out the key index information from the patient main index information, and generate the first patient main index information according to the key index information and a preset weight value.
Specifically, the cloud platform may screen out key index information in the patient main index information according to a preset condition, where the preset condition may include that an importance coefficient of the patient main index information is greater than or less than a certain range, and the cloud platform may generate the first patient main index information according to the key index information and a preset weight value by using a main index mapping algorithm.
It should be noted that the first patient main index information may also be correlated with the main index information in the original data domain, and even if the index mechanisms of the main index information in the original data domain and the first patient main index information are not the same, the two main index information may still form effective main index information together according to the same key index information, thereby improving the use efficiency of data.
In another embodiment, the obtaining patient data of at least one first hospital database comprises: and acquiring main index information of the patient subjected to desensitization treatment in the patient data.
In a preferred embodiment of this embodiment, the patient data may include patient primary index information after desensitization processing; that is, the cloud platform may obtain the primary index information of the patients after desensitization treatment in one or more first hospital databases.
Desensitization processing refers to that certain sensitive information is subjected to data deformation through desensitization rules, so that reliable protection of sensitive private data is realized.
According to the desensitization rule, desensitization treatment can be divided into recoverable desensitization treatment and non-recoverable desensitization treatment. The recoverable desensitization means that after the data is converted by a desensitization rule, the original data can be restored through some processing again, and on the contrary, after the data is subjected to the unrecoverable desensitization, the data cannot be restored to the original state, and the data can be respectively regarded as reversible encryption and irreversible encryption. The first hospital platform or the cloud platform can perform desensitization processing on information such as names and identification numbers in the patient data. If reversibly encrypted patient primary index information is used, it is necessary to resort to third party provided key management and issuance mechanisms.
In this embodiment, the cloud platform may further convert the desensitized patient main index information to obtain the corresponding first patient main index information, so that the patient data may be efficiently exchanged and stored under the desensitization condition, thereby better supporting the application scenario of the multi-hospital platform.
In another embodiment, the extracting patient primary index information from the patient data includes: and extracting the patient data according to a preset extraction sequence to obtain the main index information of the patient.
Further applied to the embodiment, the cloud platform may extract the patient data according to a preset extraction order to obtain the main index information of the patient.
For example, the extraction may be performed in the order of the table in which the patient data is located, and the patient primary index information is obtained.
In another embodiment, the second hospital database includes second patient primary index information; the second hospital database is used for storing the combined main index information of the patient, the first main index information of the patient and the second main index information of the patient.
In practical application to this embodiment, a certain second hospital database may further include second patient main index information, and when the second hospital database acquires the first patient main index information and the corresponding patient data, the second hospital platform may combine the patient main index information, the first patient main index information, and the second patient main index information to form a new patient main index information, and store the new patient main index information in the second hospital database, and combine data in a plurality of different data fields, thereby improving the sharing degree of data.
In another embodiment, the generating the first patient primary index information according to the key index information and a preset weight value includes: and inputting the key index information and the corresponding preset weight value into a specific algorithm to obtain the output first patient main index information.
In a specific example of the embodiment, the specific algorithm may include a main index mapping algorithm, which is not limited by the embodiment.
Specifically, the cloud platform may input the key index information and the corresponding preset weight value into the primary index mapping algorithm to obtain the output primary index information of the first patient.
In order to make the present embodiment better understood by those skilled in the art, a specific example is described below.
1. One or more of the first hospital platforms sending patient data of a first hospital database to the cloud platform; wherein the patient data includes patient primary index information;
2. the cloud platform converts the main index information of the patient to obtain first main index information of the patient corresponding to the patient data;
3. the cloud platform sends the first patient main index information and the patient main index information to one or more second hospital databases corresponding to the second hospital platforms;
4. one or more of the second hospital platforms obtain the first patient primary index information and the patient primary index information.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 3, there is provided a data processing apparatus for patient primary index information, including: a patient data acquisition module 301, a conversion module 302, and a transmission module 303, wherein:
a patient data acquisition module 301 for acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
a conversion module 302, configured to convert the patient primary index information to obtain first patient primary index information corresponding to the patient data;
a sending module 303, configured to send the first patient primary index information and the patient primary index information to at least one second hospital database.
In one embodiment, the conversion module comprises:
the extraction submodule is used for extracting main index information of the patient in the patient data;
the screening submodule is used for screening out key index information in the main index information of the patient;
and the generation submodule is used for generating the first patient main index information according to the key index information and a preset weight value.
In one embodiment, the patient data acquisition module comprises:
and the patient main index information acquisition submodule is used for acquiring patient main index information which is subjected to desensitization treatment in the patient data.
In one embodiment, the extraction sub-module comprises:
and the extraction unit is used for extracting the patient data according to a preset extraction sequence to obtain the main index information of the patient.
In one embodiment, the second hospital database includes second patient primary index information; the second hospital database is used for storing the combined main index information of the patient, the first main index information of the patient and the second main index information of the patient.
In one embodiment, the generating sub-module comprises:
and the obtaining unit is used for inputting the key index information and the corresponding preset weight value into a specific algorithm to obtain the output first patient main index information.
For specific limitation of the data processing device related to the patient primary index information, reference may be made to the above limitation on the data processing method related to the patient primary index information, and details are not repeated here. The modules in the data processing device of the patient primary index information can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
The data processing device of the patient main index information provided by the above can be used for executing the data processing method of the patient main index information provided by any of the above embodiments, and has corresponding functions and beneficial effects.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data processing method of patient primary index information. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
converting the patient main index information to obtain first patient main index information corresponding to the patient data;
sending the first patient primary index information and the patient primary index information to at least one second hospital database.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
extracting main index information of the patient in the patient data;
screening out key index information in the main index information of the patient;
and generating the first patient main index information according to the key index information and a preset weight value.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and acquiring main index information of the patient subjected to desensitization treatment in the patient data.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and extracting the patient data according to a preset extraction sequence to obtain the main index information of the patient.
In one embodiment, the second hospital database includes second patient primary index information; the second hospital database is used for storing the combined main index information of the patient, the first main index information of the patient and the second main index information of the patient.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and inputting the key index information and the corresponding preset weight value into a specific algorithm to obtain the output first patient main index information.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
converting the patient main index information to obtain first patient main index information corresponding to the patient data;
sending the first patient primary index information and the patient primary index information to at least one second hospital database.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting main index information of the patient in the patient data;
screening out key index information in the main index information of the patient;
and generating the first patient main index information according to the key index information and a preset weight value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and acquiring main index information of the patient subjected to desensitization treatment in the patient data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and extracting the patient data according to a preset extraction sequence to obtain the main index information of the patient.
In one embodiment, the second hospital database includes second patient primary index information; the second hospital database is used for storing the combined main index information of the patient, the first main index information of the patient and the second main index information of the patient.
In one embodiment, the computer program when executed by the processor further performs the steps of: and inputting the key index information and the corresponding preset weight value into a specific algorithm to obtain the output first patient main index information.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A data processing method of patient primary index information is characterized by comprising the following steps:
acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
converting the patient main index information to obtain first patient main index information corresponding to the patient data;
sending the first patient primary index information and the patient primary index information to at least one second hospital database.
2. The method according to claim 1, wherein the converting the patient primary index information to obtain the first patient primary index information corresponding to the patient data comprises:
extracting main index information of the patient in the patient data;
screening out key index information in the main index information of the patient;
and generating the first patient main index information according to the key index information and a preset weight value.
3. The method of claim 1 or 2, wherein said obtaining patient data of at least one first hospital database comprises:
and acquiring main index information of the patient subjected to desensitization treatment in the patient data.
4. The method according to claim 2, wherein the extracting of the patient primary index information from the patient data comprises:
and extracting the patient data according to a preset extraction sequence to obtain the main index information of the patient.
5. The method of claim 1 or 2, wherein the second hospital database includes second patient primary index information; the second hospital database is used for storing the combined main index information of the patient, the first main index information of the patient and the second main index information of the patient.
6. The method of claim 1, wherein generating the first patient primary index information according to the key index information and a preset weight value comprises:
and inputting the key index information and the corresponding preset weight value into a specific algorithm to obtain the output first patient main index information.
7. A data processing apparatus for patient primary index information, comprising:
a patient data acquisition module for acquiring patient data of at least one first hospital database; wherein the patient data includes patient primary index information;
the conversion module is used for converting the patient main index information to obtain first patient main index information corresponding to the patient data;
a sending module for sending the first patient primary index information and the patient primary index information to at least one second hospital database.
8. The apparatus of claim 7, wherein the conversion module comprises:
the extraction submodule is used for extracting main index information of the patient in the patient data;
the screening submodule is used for screening out key index information in the main index information of the patient;
and the generation submodule is used for generating the first patient main index information according to the key index information and a preset weight value.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor when executing the computer program realizes the steps of the data processing method of patient primary index information according to any one of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for data processing of patient primary index information according to any one of claims 1 to 6.
CN201811365742.9A 2018-11-16 2018-11-16 Data processing method and device for patient main index information Pending CN111199800A (en)

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CN113111063A (en) * 2021-03-31 2021-07-13 中电健康云科技有限公司 Medical patient main index discovery method applied to multiple data sources
CN115083615A (en) * 2022-07-20 2022-09-20 之江实验室 Method and device for chain type parallel statistics of number of patients in multi-center treatment

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CN113111063A (en) * 2021-03-31 2021-07-13 中电健康云科技有限公司 Medical patient main index discovery method applied to multiple data sources
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