CN113190760B - Data processing method of regional health information platform - Google Patents

Data processing method of regional health information platform Download PDF

Info

Publication number
CN113190760B
CN113190760B CN202110567781.2A CN202110567781A CN113190760B CN 113190760 B CN113190760 B CN 113190760B CN 202110567781 A CN202110567781 A CN 202110567781A CN 113190760 B CN113190760 B CN 113190760B
Authority
CN
China
Prior art keywords
data
field
hospital
doctor
type
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110567781.2A
Other languages
Chinese (zh)
Other versions
CN113190760A (en
Inventor
刘晟
赵颖实
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Tianjian Intelligent Technology Co ltd
Original Assignee
Beijing Tianjian Intelligent Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Tianjian Intelligent Technology Co ltd filed Critical Beijing Tianjian Intelligent Technology Co ltd
Priority to CN202110567781.2A priority Critical patent/CN113190760B/en
Publication of CN113190760A publication Critical patent/CN113190760A/en
Application granted granted Critical
Publication of CN113190760B publication Critical patent/CN113190760B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9538Presentation of query results

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The embodiment of the invention relates to a data processing method of a regional health information platform, which comprises the following steps: receiving first query instruction data; performing instruction type identification to generate first type data; extracting first identification data according to the first type data; taking a shared data list corresponding to the first type data in the first shared database as a first shared data list and taking a first shared data record corresponding to the first identification data in the list as a first data record; taking a local data list corresponding to the first type data in the first local database as a first local data list and taking a first local data record corresponding to the first identification data in the list as a second data record; performing first type data synthesis processing on the first data record and the second data record to generate a first synthesis data set; the first composite data set is transmitted. The method and the system can ensure the real-time performance of the display information of the regional health information platform and reduce the access pressure of the back-end shared database.

Description

Data processing method of regional health information platform
Technical Field
The invention relates to the technical field of data information processing, in particular to a data processing method of a regional health information platform.
Background
With the deep development of information construction in the medical industry, regional health information platforms are proposed in many areas, and people can more conveniently and comprehensively inquire related information of local medical institutions, such as hospital information, department information and doctor information, through clients at the front ends of the platforms. The common back-end data processing scheme of the regional health information platform is that a shared database is established at the back end of the platform, a shared data list related to hospitals, departments and doctors is established in the shared database, and the content of the shared data list is updated by periodically synchronizing with the data of a medical institution information center. However, in practical applications, it is found that the data of hospitals, departments and doctors in each medical institution are not static for a long period of time, especially the data of the latter two, for example, the hospitals may temporarily add a nucleic acid detection reservation department to cause dynamic changes of the data of the departments, and the data of the doctors may also cause dynamic changes of the data of the doctors due to factors such as changes of the doctor's office, changes of the post, etc. If the data synchronization is only carried out regularly, the problem of aging hysteresis of the information displayed by the regional health information platform can be caused. If the shared database is directly in real-time butt joint with the information center of each medical institution, the access pressure of the shared database is increased, so that the use experience of the regional health information platform is affected.
Disclosure of Invention
The invention aims at overcoming the defects of the prior art, and provides a data processing method of an area health information platform, which is characterized in that a rear-end data processing scheme of an original area health information platform is modified, a local database for interfacing information centers of all medical institutions in real time is additionally arranged besides an original shared database, local data lists related to hospitals, departments and doctors are also created in the local database, data items or data fields with higher update frequency in the original shared database are transferred to the local database, when a rear-end server of the area health information platform receives an inquiry command sent from a front-end client of the platform, corresponding data records are obtained by respectively inquiring the new shared database and the local database, the obtained data records are synthesized, and finally the synthesized data are returned to the client for information display processing. Therefore, on one hand, the problem of information delay in the regional health information platform display can be solved, and on the other hand, the access pressure of the original shared database can be reduced.
In order to achieve the above object, an embodiment of the present invention provides a data processing method of an area health information platform, where the method includes:
The method comprises the steps that a rear-end server of a regional health information platform receives first query instruction data sent by a first client of a front end; the first query instruction data comprises first instruction header data and first instruction body data;
performing instruction type identification on the first instruction header data to generate first type data;
extracting corresponding identification data from the first instruction body data as first identification data according to the first type data;
Taking a shared data list corresponding to the first type data in a preset first shared database as a first shared data list, and inquiring a first shared data record corresponding to the first identification data from the first shared data list as a first data record;
Taking a local data list corresponding to the first type data in a preset first local database as a first local data list, and inquiring a first local data record corresponding to the first identification data from the first local data list as a second data record;
according to a first type data synthesis rule corresponding to the first type data, carrying out first type data synthesis processing on the first data record and the second data record to generate a first synthesis data set;
And sending the first synthesized data set to the first client.
Preferably, the first type data includes a type one, a type two and a type three;
when the first type data is the type one, the corresponding first shared data list is a first hospital shared data list, the first shared data record is a first hospital shared data record, the first hospital shared data list comprises a plurality of first hospital shared data records, and the first hospital shared data record at least comprises a first hospital coding field, a first hospital name field, a first hospital address field, a first hospital consultation telephone field, a first hospital emergency telephone field, a first introduction hospital field, a first hospital traffic route field, a first hospital grade field and a first hospital registration time field; the corresponding first local data list is a first hospital local data list, the first local data record is a first hospital local data record, the first hospital local data list comprises a plurality of first hospital local data records, and the first hospital local data record at least comprises a second hospital coding field, a city field to which a first hospital belongs, a first hospital mark field, a first hospital display picture field and a first hospital page link field;
When the first type data is the second type data, the corresponding first shared data list is a first department shared data list, the first shared data record is a first department shared data record, the first department shared data list at least comprises a plurality of first department shared data records, and the first department shared data record comprises a first department coding field, a first department name field, a first department introduction field and a first department registration-possible state field; the corresponding first local data list is a first department local data list, the first local data record is a first department local data record, the first department local data list comprises a plurality of first department local data records, and the first department local data record at least comprises a second department coding field, a first department page linking field and a hospital coding field to which the first department belongs;
When the first type data is the type III, the corresponding first shared data list is a first doctor shared data list, the first shared data record is a first doctor shared data record, the first doctor shared data list comprises a plurality of first doctor shared data records, and the first doctor shared data record at least comprises a first doctor coding field, a first doctor name field, a first doctor identification number field, a first doctor communication number field, a first doctor title field, a department name field to which a first doctor belongs, a first doctor specialty introduction field and a first doctor profile field; the corresponding first local data list is a first doctor local data list, the first local data record is a first doctor local data record, the first doctor local data list comprises a plurality of first doctor local data records, and the first doctor local data record at least comprises a second doctor coding field, a first doctor page linking field, a first doctor head image field, a first doctor affiliated hospital coding field and a first doctor affiliated department coding field.
Preferably, the step of performing instruction type identification on the first instruction header data to generate first type data specifically includes:
when the first instruction head data is an instruction for acquiring hospital data, setting the first type data as the type I;
when the first instruction head data is an instruction for acquiring department data, setting the first type data as the type two;
And when the first instruction head data is an instruction for acquiring doctor data, setting the first type data as the type III.
Preferably, the extracting, according to the first type data, corresponding identification data from the first instruction body data as first identification data specifically includes:
when the first type data is the type one, first hospital identification data is extracted from the first instruction body data to serve as the first identification data;
When the first type data is the second type, extracting first department identification data from the first instruction body data as the first identification data;
and when the first type data is the third type data, extracting first doctor identification data from the first instruction body data as the first identification data.
Preferably, the querying, from the first shared data list, the first shared data record corresponding to the first identification data as the first data record specifically includes:
When the first type data is the type one, polling the first hospital shared data record of the first hospital shared data list according to the first identification data; if the first hospital code field of the currently polled first hospital shared data record is matched with the first identification data, extracting the currently polled first hospital shared data record as the first data record;
When the first type data is the second type, polling the first department shared data record of the first department shared data list according to the first identification data; if the first department code field of the currently polled first department shared data record is matched with the first identification data, extracting the currently polled first department shared data record as the first data record;
When the first type data is the type III, polling the first doctor shared data record of the first doctor shared data list according to the first identification data; and if the first doctor code field of the currently polled first doctor shared data record is matched with the first identification data, extracting the currently polled first doctor shared data record as the first data record.
Preferably, the querying the first local data record corresponding to the first identification data from the first local data list is used as a second data record, and specifically includes:
when the first type data is of the type one, polling the first hospital local data record of the first hospital local data list according to the first identification data; if the second hospital encoding field of the currently polled first hospital local data record is matched with the first identification data, extracting the currently polled first hospital local data record as the second data record;
When the first type data is the second type, polling the first department local data record of the first department local data list according to the first identification data; if the second department code field of the currently polled first department local data record is matched with the first identification data, extracting the currently polled first department local data record as the second data record;
When the first type data is the type III, polling the first doctor local data record of the first doctor local data list according to the first identification data; and if the second doctor encoding field of the first doctor local data record currently polled is matched with the first identification data, extracting the first doctor local data record currently polled as the second data record.
Preferably, the first data record and the second data record are subjected to a first type data synthesis process according to a first type data synthesis rule corresponding to the first type data, so as to generate a first synthesized data set, which specifically includes:
When the first type data is of the type one, extracting the contents of the first hospital code field, the first hospital name field, the first hospital address field, the first hospital consultation call field, the first hospital emergency call field, the first hospital introduction field, the first hospital traffic route field, the first hospital class field and the first hospital registration time field from the first data record, adding the contents of the city field to which the first hospital belongs, the first hospital flag field, the first hospital presentation picture field and the first hospital page link field from the second data record to the first synthetic data set;
When the first type data is the second type, extracting the first department code field, the first department name field, the first department introduction field and the contents of the first department registration-possible state field from the first data record, adding the contents of the first department page link field and the first department hospital code field from the second data record, and adding the contents of the first department page link field and the first department hospital code field to the first synthetic data set;
When the first type data is the type III, the contents of the first doctor code field, the first doctor name field, the first doctor identification number field, the first doctor communication number field, the first doctor title field, the department name field to which the first doctor belongs, the first doctor specialty introduction field and the first doctor profile field are extracted from the first data record and the contents of the first doctor page link field, the first doctor head image field, the first doctor belonging hospital code field and the first doctor belonging department code field are extracted from the second data record are added to the first synthetic data set.
According to the data processing method for the regional health information platform, a rear-end data processing scheme of an original regional health information platform is modified, a local database for interfacing information centers of all medical institutions in real time is additionally arranged besides an original shared database, local data lists related to hospitals, departments and doctors are also created in the local database, data items or data fields with higher updating frequency in the original shared database are transferred to the local database, when a rear-end server of the regional health information platform receives an inquiry command sent by a front-end client of the platform, corresponding data records are obtained by respectively inquiring the new shared database and the local database, data synthesis is carried out on the obtained data records, and finally the synthesized data are returned to the client for information display processing. Therefore, the problem of information delay in the regional health information platform display is solved, and the access pressure of the original shared database is reduced.
Drawings
Fig. 1 is a schematic diagram of a data processing method of a regional health information platform according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a schematic diagram of a data processing method of a regional health information platform according to an embodiment of the present invention, where, as shown in fig. 1, the method mainly includes the following steps:
step 1, a rear end server of a regional health information platform receives first query instruction data sent by a first client of a front end;
The first query instruction data comprises first instruction head data and first instruction body data.
The regional health information platform at least comprises a plurality of first clients at the front end, a back end server, a first shared database and a first local database; each first client can be connected with a back-end server through a wired or wireless network, and the back-end server is respectively connected with a first shared database and a first local database; the first client is front-end equipment of the regional health information platform, and can be a mobile computer, a PC (personal computer), a tablet computer, a mobile terminal or a server; the back-end server is terminal equipment, a server or a cloud service platform which is used for processing front-end business instructions and database operations and is arranged at the back end of the regional health information platform; the first shared database is a shared database used for storing data with lower updating frequency in the regional health information platform, and can be a stand-alone database, a database server or a data cloud platform; the first local database is a local database used for storing data with higher updating frequency in the regional health information platform, is in real-time butt joint with the information center of each medical institution, and can be a stand-alone database, a database server or a data cloud platform;
The first client is used for displaying a first hospital list about a hospital, a first department list about a department of the hospital or a first doctor list about a doctor of the hospital to a user, and converting list item selection results of the user into unique coding information distributed to each hospital, department or doctor by a platform, namely first hospital identification data, first department identification data or first doctor identification data; the first query instruction data are generated according to the display list and the converted identification data, specifically, if the display list is a first hospital list, the first instruction head data are set as instructions for acquiring hospital data, and the first instruction body data carry first hospital identification data; if the display list is a first department list, setting first instruction head data as an instruction for acquiring department data, and carrying first department identification data in first instruction body data; if the display list is a first doctor list, setting first instruction head data as an instruction for acquiring doctor data, and carrying first doctor identification data in first instruction body data;
After the first client generates the first query instruction data, the first client performs data packaging according to a preset data transmission protocol, such as a hypertext transfer security protocol (Hyper Text Transfer Protocol over SecureSocket Layer, HTTPS), and sends the data to a back-end server of the regional health information platform through a wireless network or a wired network, the back-end server analyzes the received data packet according to the preset data transmission protocol, so as to obtain the first query instruction data, and further performs splitting according to a preset query instruction data format, so as to obtain first instruction header data and first instruction body data.
Step 2, carrying out instruction type identification on the first instruction head data to generate first type data;
wherein the first type data includes type one, type two, and type three;
The method specifically comprises the following steps: when the first instruction head data is an instruction for acquiring hospital data, setting the first type data as a type one; when the first instruction head data is an instruction for acquiring department data, setting the first type data as a type two; when the first instruction header data is an instruction for acquiring doctor data, the first type data is set as type three.
Here, if the first type data is of the type one, it means that the data related to the hospital is to be queried, if the first type data is of the type two, it means that the data related to the department is to be queried, and if the first type data is of the type three, it means that the data related to the doctor is to be queried.
Step 3, extracting corresponding identification data from the first instruction body data as first identification data according to the first type data;
The method specifically comprises the following steps: when the first type data is of the type one, extracting first hospital identification data from the first instruction body data as first identification data; when the first type data is of a second type, extracting first department identification data from the first instruction body data as first identification data; when the first type data is of a type three, first doctor identification data is extracted from the first instruction body data as first identification data.
Here, if the first type data is type one, it is indicated that the identification data carried in the first instruction body data should be first hospital identification data related to the hospital, that is, first identification data=first hospital identification data; if the first type data is of the second type, the identification data carried in the first instruction body data is first department identification data related to the departments, namely, the first identification data=the first department identification data; if the first type data is of the third type, it is indicated that the identification data carried in the first instruction body data should be first doctor identification data related to the doctor, that is, first identification data=first doctor identification data.
Step 4, taking a shared data list corresponding to the first type data in a preset first shared database as a first shared data list, and inquiring a first shared data record corresponding to the first identification data from the first shared data list as a first data record;
Here, the first shared database is a shared database of the regional health information platform, and includes a plurality of types of shared data lists: a first hospital shared data list, a first department shared data list, and a first doctor shared data list;
Each type of shared data list corresponds to a first type of data: the first hospital shared data list corresponds to a first type, the first department shared data list corresponds to a second type, and the first doctor shared data list corresponds to a third type;
Each type of shared data list in turn includes a plurality of shared data records: the first hospital shared data list comprises a plurality of first hospital shared data records, the first department shared data list comprises a plurality of first department shared data records, and the first doctor shared data list comprises a plurality of first doctor shared data records;
The data structures of the shared data records of the different types of shared data lists are different: the first hospital shared data record at least comprises a first hospital coding field, a first hospital name field, a first hospital address field, a first hospital consultation telephone field, a first hospital emergency telephone field, a first hospital introduction field, a first hospital traffic route field, a first hospital grade field and a first hospital registration time field, the first department shared data record comprises a first department coding field, a first department name field, a first department introduction field and a first department registration state field, and the first doctor shared data record at least comprises a first doctor coding field, a first doctor name field, a first doctor identification number field, a first doctor communication number field, a first doctor title field, a first doctor affiliated department name field, a first doctor expertise introduction field and a first doctor profile field;
the method specifically includes the steps of querying a first shared data record corresponding to first identification data from a first shared data list as a first data record, wherein the first shared data record specifically includes:
Step 421, when the first type data is of the type one, polling the first hospital shared data record of the first hospital shared data list according to the first identification data; if the first hospital coding field of the currently polled first hospital shared data record is matched with the first identification data, extracting the currently polled first hospital shared data record as a first data record;
Here, if the first type data is the type one, the shared data list corresponding to the first type data, that is, the first shared data list should be specifically a first hospital shared data list, and the first shared data record should be specifically a certain first hospital shared data record in the first hospital shared data list;
The back-end server queries a first shared data record corresponding to the first identification data from the first shared data list through a data query interface agreed with the first shared data base, namely queries a first hospital shared data record corresponding to the first hospital identification data from the first hospital shared data list, the specific query process is that the first hospital shared data record of the first hospital shared data list is sequentially polled, and if a first hospital coding field of the first hospital shared data record currently polled is consistent with the first identification data, namely the first hospital shared data record currently polled is regarded as being matched with the first identification data, the first hospital shared data record currently polled is extracted as the first data record, and the polling processing of the first hospital shared data record is stopped;
step 422, when the first type data is type two, polling the first department sharing data record of the first department sharing data list according to the first identification data; if the first department code field of the currently polled first department shared data record is matched with the first identification data, extracting the currently polled first department shared data record as a first data record;
Here, if the first type data is the second type data, the shared data list corresponding to the first type data, that is, the first shared data list, should be specifically a first department shared data list, and the first shared data record should be specifically a certain first department shared data record in the first department shared data list;
The back-end server queries the first shared data record corresponding to the first identification data from the first shared data list through a data query interface agreed with the first shared database, namely queries the first department shared data record corresponding to the first department identification data from the first department shared data list, the specific query process is to sequentially poll the first department shared data record of the first department shared data list, and if the first department coding field of the first currently polled department shared data record is consistent with the first identification data, namely the first department shared data record is regarded as matching with the first identification data, the currently polled first department shared data record is extracted as a first data record and the polling processing of the first department shared data record is stopped;
Step 423, when the first type data is of type three, polling the first doctor shared data record of the first doctor shared data list according to the first identification data; and if the first doctor coding field of the currently polled first doctor shared data record is matched with the first identification data, extracting the currently polled first doctor shared data record as the first data record.
Here, if the first type data is of the third type, the shared data list corresponding to the first type data, that is, the first shared data list, should be specifically a first doctor shared data list, and the first shared data record should be specifically a certain first doctor shared data record in the first doctor shared data list;
The back-end server queries the first shared data record corresponding to the first identification data from the first shared data list, namely, queries the first doctor shared data record corresponding to the first doctor identification data from the first doctor shared data list through a data query interface appointed between the back-end server and the first shared data list, and particularly, the query process sequentially polls the first doctor shared data record of the first doctor shared data list, and if the first doctor coding field of the first doctor shared data record currently polled is consistent with the first identification data, namely, the first doctor identification data is regarded as matching with the first identification data, the first doctor shared data record currently polled is extracted as the first data record, and the polling processing of the first doctor shared data record is stopped.
Step 5, taking a local data list corresponding to the first type data in a preset first local database as a first local data list, and inquiring a first local data record corresponding to the first identification data from the first local data list as a second data record;
Here, the first local database is a local database of the regional health information platform, and includes a plurality of types of local data lists: a first hospital local data list, a first department local data list, and a first doctor local data list;
Each type of local data list corresponds to a first type of data: the local data list of the first hospital corresponds to a first type, the local data list of the first department corresponds to a second type, and the local data list of the first doctor corresponds to a third type;
Each type of local data list in turn includes a plurality of local data records: the first hospital local data list comprises a plurality of first hospital local data records, the first department local data list comprises a plurality of first department local data records, and the first doctor local data list comprises a plurality of first doctor local data records;
The data structures of the local data records of the different types of local data lists are different: the first hospital local data record at least comprises a second hospital coding field, a city field to which a first hospital belongs, a first hospital sign field, a first hospital display picture field and a first hospital page link field, the first department local data record at least comprises a second department coding field, a first department page link field and a hospital coding field to which a first department belongs, and the first doctor local data record at least comprises a second doctor coding field, a first doctor page link field, a first doctor head image field, a first doctor belonging hospital coding field and a first doctor belonging department coding field;
It should be noted that, for the first hospital shared data record in step 4 corresponding to the same hospital and the first hospital local data record in this step, the contents of the first and second hospital code fields should be identical; the first department in step 4 corresponding to the same department shares the data record and the first department in this step local data record, the content of the first and second department code fields of the two are consistent; sharing the data record with the first doctor in the step 4 corresponding to the same doctor and the local data record of the first doctor in the step, wherein the contents of the first doctor coding field and the second doctor coding field of the two are consistent;
The method specifically includes the steps of inquiring a first local data record corresponding to first identification data from a first local data list as a second data record, wherein the first local data record comprises:
step 521, when the first type data is of the type one, polling the first hospital local data record of the first hospital local data list according to the first identification data; if the second hospital encoding field of the first hospital local data record currently polled is matched with the first identification data, extracting the first hospital local data record currently polled as a second data record;
here, if the first type data is the type one local data list corresponding to the first type data, that is, the first local data list should be specifically a first hospital local data list, and the first local data record should be specifically a certain first hospital local data record in the first hospital local data list; the back-end server queries the first local data record corresponding to the first identification data from the first local data list through a data query interface agreed with the first local database, namely queries the first local data record corresponding to the first hospital identification data from the first local data list, the specific query process is to sequentially poll the first local data record of the first local data list of the first hospital, and if the second hospital coding field of the first local data record currently polled is consistent with the first identification data (the first hospital identification data), namely, the second local data record currently polled is regarded as being matched with the first identification data (the first hospital identification data), the first local data record currently polled is extracted as a second data record, and the polling processing of the first local data record of the first hospital is stopped;
step 522, when the first type data is of the second type, polling the first department local data record of the first department local data list according to the first identification data; if the second department code field of the currently polled first department local data record is matched with the first identification data, extracting the currently polled first department local data record as a second data record;
Here, if the first type data is the second type data, the local data list corresponding to the first type data, that is, the first local data list should be specifically a first department local data list, and the first local data record should be specifically a certain first department local data record in the first department local data list; the back-end server queries the first local data record corresponding to the first identification data from the first local data list through a data query interface appointed between the back-end server and the first local database, namely queries the first department local data record corresponding to the first department identification data from the first department local data list, the specific query process is to sequentially poll the first department local data record of the first department local data list, and if the second department coding field of the first department local data record currently polled is consistent with the first identification data (the first department identification data), namely the first department local data record currently polled is regarded as matching with the first identification data (the first department identification data), the first department local data record currently polled is extracted as the second data record, and the polling processing of the first department local data record is stopped;
step 523, when the first type data is of the third type, polling the first doctor local data record of the first doctor local data list according to the first identification data; and if the second doctor encoding field of the first doctor local data record currently polled is matched with the first identification data, extracting the first doctor local data record currently polled as a second data record.
Here, if the first type data is the third type data, the local data list corresponding to the first type data, that is, the first local data list should be specifically a first doctor local data list, and the first local data record should be specifically a certain first doctor local data record in the first doctor local data list; the back-end server queries the first local data record corresponding to the first identification data from the first local data list, namely, queries the first doctor local data record corresponding to the first doctor identification data from the first doctor local data list through a data query interface appointed between the back-end server and the first local database, and specifically, the query process sequentially polls the first doctor local data record of the first doctor local data list, and if the second doctor coding field of the first doctor local data record currently polled is consistent with the first identification data (the first doctor identification data), namely, the first doctor local data record currently polled is regarded as matching with the first identification data (the first doctor identification data), and the first doctor local data record currently polled is extracted as a second data record and the polling processing of the first doctor local data record is stopped.
Step 6, according to a first type data synthesis rule corresponding to the first type data, carrying out first type data synthesis processing on the first data record and the second data record to generate a first synthesis data set;
the back-end server obtains a first data record from the first shared database, and after obtaining a second data record from the first local database, the back-end server combines the first data record and the second data record to form a complete first composite data set;
The method specifically comprises the following steps: step 61, when the first type data is of type one, extracting a first hospital coding field, a first hospital name field, a first hospital address field, a first hospital consultation telephone field, a first hospital emergency telephone field, a first hospital introduction field, a first hospital traffic route field, a first hospital grade field and a first hospital registration time field from the first data record, adding the contents of the first hospital coding field, the first hospital name field, the first hospital address field, the first hospital consultation telephone field, the first hospital grade field and the first hospital registration time field to the first synthetic data set, extracting a city field to which the first hospital belongs, a first hospital sign field, a first hospital display picture field and a first hospital page link field from the second data record, and adding the contents of the first synthetic data set;
Here, after merging the first data record and the second data record associated with the hospital, the resulting first composite data set would include the following: hospital code information, hospital name information, hospital address information, hospital consultation telephone information, hospital emergency telephone information, hospital introduction information, hospital traffic route information, hospital grade information, hospital registration time information, city information to which a hospital belongs, hospital sign information, hospital display picture information and hospital page link information; the data format of the hospital mark information can be text data, icon data or icon link data, the data format of the information of the data format can be picture data or picture link data, and the data format of the hospital page link information can be file storage path data, database storage path data or network address data;
Step 62, when the first type data is of the second type, extracting the first department code field, the first department name field, the first department introduction field and the contents of the first department registration state field from the first data record, adding the first department code field, the first department introduction field and the contents of the first department registration state field to the first synthetic data set, extracting the first department page link field and the contents of the hospital code field to which the first department belongs from the second data record, and adding the first department page link field and the contents of the hospital code field to the first synthetic data set;
here, after merging the first data record and the second data record related to the department, the resulting first composite data set may include the following: department coding information, department belonging hospital coding information, department name information, department introduction information, department registration-possible status information (registration-possible or registration-impossible) and department page link information; the data format of the department page link information can be file storage path data, database storage path data or network address data;
In step 63, when the first type data is type three, the contents of the first doctor code field, the first doctor name field, the first doctor identification number field, the first doctor communication number field, the first doctor title field, the department name field to which the first doctor belongs, the first doctor specialty introduction field and the first doctor profile field are extracted from the first data record and added to the first composite data set, and the contents of the first doctor page link field, the first doctor head image field, the first doctor affiliated hospital code field and the first department code field to which the first doctor belongs are extracted from the second data record and added to the first composite data set.
Here, after merging the first data record and the second data record associated with the doctor, the resulting first composite data set may comprise the following: doctor code information, doctor name information, hospital code information of a doctor, department code information of the doctor, doctor identification number information, doctor communication number information, doctor title information, department name information of the doctor, doctor specialty introduction information, doctor profile information, doctor page link information and doctor head portrait information; the doctor head information may be image data or image link data, and the data format of the doctor page link information may be file storage path data, database storage path data or network address data.
And 7, transmitting the first synthesized data set to the first client.
The back-end server performs data packaging on the first composite data set according to a pre-agreed data transmission protocol, for example, HTTPS protocol, and sends back the packaged data item to the first client through a wireless network or a wired network, so as to be used as the return data of the first query instruction data in step 1.
After receiving the data packet sent by the back-end server, the first client analyzes the data packet according to a preset data transmission protocol, extracts a first composite data set related to a hospital, a department or a doctor from the data packet, uses the first composite data set to fill data in a preset query result display interface template of the hospital, the department or the doctor, and finally converts the filled interface template into a display page for displaying the query result to a user.
According to the data processing method of the regional health information platform, a rear-end data processing scheme of an original regional health information platform is modified, a local database for interfacing information centers of all medical institutions in real time is additionally arranged besides an original shared database, local data lists related to hospitals, departments and doctors are also created in the local database, data items or data fields with higher updating frequency in the original shared database are transferred to the local database, when a query instruction sent by a front-end client is received by a rear-end server of the platform, corresponding data records are obtained by respectively querying the new shared database and the local database, data synthesis is carried out on the obtained data records, and finally the synthesized data are returned to the client for information display processing. Therefore, the problem of information delay in the regional health information platform display is solved, and the access pressure of the original shared database is reduced.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of function in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (4)

1. A data processing method of a regional health information platform, the method comprising:
The method comprises the steps that a rear-end server of a regional health information platform receives first query instruction data sent by a first client of a front end; the first query instruction data comprises first instruction header data and first instruction body data;
performing instruction type identification on the first instruction header data to generate first type data;
extracting corresponding identification data from the first instruction body data as first identification data according to the first type data;
Taking a shared data list corresponding to the first type data in a preset first shared database as a first shared data list, and inquiring a first shared data record corresponding to the first identification data from the first shared data list as a first data record;
Taking a local data list corresponding to the first type data in a preset first local database as a first local data list, and inquiring a first local data record corresponding to the first identification data from the first local data list as a second data record;
according to a first type data synthesis rule corresponding to the first type data, carrying out first type data synthesis processing on the first data record and the second data record to generate a first synthesis data set;
Transmitting the first composite data set to the first client;
wherein,
The first type data comprises a type one, a type two and a type three;
when the first type data is the type one, the corresponding first shared data list is a first hospital shared data list, the first shared data record is a first hospital shared data record, the first hospital shared data list comprises a plurality of first hospital shared data records, and the first hospital shared data record at least comprises a first hospital coding field, a first hospital name field, a first hospital address field, a first hospital consultation telephone field, a first hospital emergency telephone field, a first introduction hospital field, a first hospital traffic route field, a first hospital grade field and a first hospital registration time field; the corresponding first local data list is a first hospital local data list, the first local data record is a first hospital local data record, the first hospital local data list comprises a plurality of first hospital local data records, and the first hospital local data record at least comprises a second hospital coding field, a city field to which a first hospital belongs, a first hospital mark field, a first hospital display picture field and a first hospital page link field;
When the first type data is the second type data, the corresponding first shared data list is a first department shared data list, the first shared data record is a first department shared data record, the first department shared data list at least comprises a plurality of first department shared data records, and the first department shared data record comprises a first department coding field, a first department name field, a first department introduction field and a first department registration-possible state field; the corresponding first local data list is a first department local data list, the first local data record is a first department local data record, the first department local data list comprises a plurality of first department local data records, and the first department local data record at least comprises a second department coding field, a first department page linking field and a hospital coding field to which the first department belongs;
When the first type data is the type III, the corresponding first shared data list is a first doctor shared data list, the first shared data record is a first doctor shared data record, the first doctor shared data list comprises a plurality of first doctor shared data records, and the first doctor shared data record at least comprises a first doctor coding field, a first doctor name field, a first doctor identification number field, a first doctor communication number field, a first doctor title field, a department name field to which a first doctor belongs, a first doctor specialty introduction field and a first doctor profile field; the corresponding first local data list is a first doctor local data list, the first local data record is a first doctor local data record, the first doctor local data list comprises a plurality of first doctor local data records, and the first doctor local data record at least comprises a second doctor coding field, a first doctor page linking field, a first doctor head image field, a first doctor affiliated hospital coding field and a first doctor affiliated department coding field;
The step of identifying the instruction type of the first instruction head data to generate first type data specifically includes:
when the first instruction head data is an instruction for acquiring hospital data, setting the first type data as the type I;
when the first instruction head data is an instruction for acquiring department data, setting the first type data as the type two;
when the first instruction head data is an instruction for acquiring doctor data, setting the first type data as the type III;
the extracting, according to the first type data, corresponding identification data from the first instruction body data as first identification data specifically includes:
when the first type data is the type one, first hospital identification data is extracted from the first instruction body data to serve as the first identification data;
When the first type data is the second type, extracting first department identification data from the first instruction body data as the first identification data;
and when the first type data is the third type data, extracting first doctor identification data from the first instruction body data as the first identification data.
2. The method for processing data of the regional health information platform according to claim 1, wherein the querying the first shared data record corresponding to the first identification data from the first shared data list is performed as a first data record, and specifically includes:
When the first type data is the type one, polling the first hospital shared data record of the first hospital shared data list according to the first identification data; if the first hospital code field of the currently polled first hospital shared data record is matched with the first identification data, extracting the currently polled first hospital shared data record as the first data record;
When the first type data is the second type, polling the first department shared data record of the first department shared data list according to the first identification data; if the first department code field of the currently polled first department shared data record is matched with the first identification data, extracting the currently polled first department shared data record as the first data record;
When the first type data is the type III, polling the first doctor shared data record of the first doctor shared data list according to the first identification data; and if the first doctor code field of the currently polled first doctor shared data record is matched with the first identification data, extracting the currently polled first doctor shared data record as the first data record.
3. The method for processing data of the regional health information platform according to claim 1, wherein the querying the first local data record corresponding to the first identification data from the first local data list is used as a second data record, and specifically includes:
when the first type data is of the type one, polling the first hospital local data record of the first hospital local data list according to the first identification data; if the second hospital encoding field of the currently polled first hospital local data record is matched with the first identification data, extracting the currently polled first hospital local data record as the second data record;
When the first type data is the second type, polling the first department local data record of the first department local data list according to the first identification data; if the second department code field of the currently polled first department local data record is matched with the first identification data, extracting the currently polled first department local data record as the second data record;
When the first type data is the type III, polling the first doctor local data record of the first doctor local data list according to the first identification data; and if the second doctor encoding field of the first doctor local data record currently polled is matched with the first identification data, extracting the first doctor local data record currently polled as the second data record.
4. The method for processing data of the regional health information platform according to claim 1, wherein the generating a first composite data set by performing a first type data synthesis process on the first data record and the second data record according to a first type data synthesis rule corresponding to the first type data specifically includes:
When the first type data is of the type one, extracting the contents of the first hospital code field, the first hospital name field, the first hospital address field, the first hospital consultation call field, the first hospital emergency call field, the first hospital introduction field, the first hospital traffic route field, the first hospital class field and the first hospital registration time field from the first data record, adding the contents of the city field to which the first hospital belongs, the first hospital flag field, the first hospital presentation picture field and the first hospital page link field from the second data record to the first synthetic data set;
When the first type data is the second type, extracting the first department code field, the first department name field, the first department introduction field and the contents of the first department registration-possible state field from the first data record, adding the contents of the first department page link field and the first department hospital code field from the second data record, and adding the contents of the first department page link field and the first department hospital code field to the first synthetic data set;
When the first type data is the type III, the contents of the first doctor code field, the first doctor name field, the first doctor identification number field, the first doctor communication number field, the first doctor title field, the department name field to which the first doctor belongs, the first doctor specialty introduction field and the first doctor profile field are extracted from the first data record and the contents of the first doctor page link field, the first doctor head image field, the first doctor belonging hospital code field and the first doctor belonging department code field are extracted from the second data record are added to the first synthetic data set.
CN202110567781.2A 2021-05-24 2021-05-24 Data processing method of regional health information platform Active CN113190760B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110567781.2A CN113190760B (en) 2021-05-24 2021-05-24 Data processing method of regional health information platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110567781.2A CN113190760B (en) 2021-05-24 2021-05-24 Data processing method of regional health information platform

Publications (2)

Publication Number Publication Date
CN113190760A CN113190760A (en) 2021-07-30
CN113190760B true CN113190760B (en) 2024-05-17

Family

ID=76984979

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110567781.2A Active CN113190760B (en) 2021-05-24 2021-05-24 Data processing method of regional health information platform

Country Status (1)

Country Link
CN (1) CN113190760B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114373534A (en) * 2021-12-17 2022-04-19 深圳市巨鼎医疗股份有限公司 Waiting information query method and system, computer equipment and storage medium

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102103623A (en) * 2010-09-29 2011-06-22 长沙博为软件技术有限公司 Cross index identification method for health file sharing platforms
CN102880668A (en) * 2012-09-04 2013-01-16 广东电子工业研究院有限公司 Comprehensive emergency management platform data storage method and platform framework adopting same
CN103609059A (en) * 2010-09-20 2014-02-26 安全第一公司 Systems and methods for secure data sharing
CN103608810A (en) * 2011-06-14 2014-02-26 微软公司 Enriching database query responses using data from external data sources
KR20140074539A (en) * 2012-12-10 2014-06-18 한국전자통신연구원 Method for controlling approach of data service by using data characteristic
CN106528885A (en) * 2016-12-16 2017-03-22 苏州市环亚数据技术有限公司 Processing method and device of medical business data
CN106777998A (en) * 2016-12-19 2017-05-31 邹春秋 A kind of medical system big data processing unit and method
CN108351856A (en) * 2015-09-17 2018-07-31 阿普泰克科技公司 The computer system and method for assets relevant information are shared between data platform by network
CN108648786A (en) * 2018-05-16 2018-10-12 上海术木医疗科技有限公司 A kind of medical cloud platform data-sharing systems and method based on third party's business
CN109559808A (en) * 2018-11-07 2019-04-02 平安医疗健康管理股份有限公司 A kind of data processing method, device, equipment and storage medium
CN110462654A (en) * 2017-02-16 2019-11-15 艾高特有限责任公司 Record accessing and management
CN111930723A (en) * 2020-09-25 2020-11-13 国网冀北电力有限公司经济技术研究院 Scientific and technological achievement data fusion method based on big data
US10984128B1 (en) * 2008-09-08 2021-04-20 Steven Miles Hoffer Specially adapted serving networks to automatically provide personalized rapid healthcare support by integrating biometric identification securely and without risk of unauthorized disclosure; methods, apparatuses, systems, and tangible media therefor

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110246231A1 (en) * 2010-03-31 2011-10-06 Microsoft Corporation Accessing patient information
US11157822B2 (en) * 2019-04-29 2021-10-26 Kpn Innovatons Llc Methods and systems for classification using expert data

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10984128B1 (en) * 2008-09-08 2021-04-20 Steven Miles Hoffer Specially adapted serving networks to automatically provide personalized rapid healthcare support by integrating biometric identification securely and without risk of unauthorized disclosure; methods, apparatuses, systems, and tangible media therefor
CN103609059A (en) * 2010-09-20 2014-02-26 安全第一公司 Systems and methods for secure data sharing
CN102103623A (en) * 2010-09-29 2011-06-22 长沙博为软件技术有限公司 Cross index identification method for health file sharing platforms
CN103608810A (en) * 2011-06-14 2014-02-26 微软公司 Enriching database query responses using data from external data sources
CN102880668A (en) * 2012-09-04 2013-01-16 广东电子工业研究院有限公司 Comprehensive emergency management platform data storage method and platform framework adopting same
KR20140074539A (en) * 2012-12-10 2014-06-18 한국전자통신연구원 Method for controlling approach of data service by using data characteristic
CN108351856A (en) * 2015-09-17 2018-07-31 阿普泰克科技公司 The computer system and method for assets relevant information are shared between data platform by network
CN106528885A (en) * 2016-12-16 2017-03-22 苏州市环亚数据技术有限公司 Processing method and device of medical business data
CN106777998A (en) * 2016-12-19 2017-05-31 邹春秋 A kind of medical system big data processing unit and method
CN110462654A (en) * 2017-02-16 2019-11-15 艾高特有限责任公司 Record accessing and management
CN108648786A (en) * 2018-05-16 2018-10-12 上海术木医疗科技有限公司 A kind of medical cloud platform data-sharing systems and method based on third party's business
CN109559808A (en) * 2018-11-07 2019-04-02 平安医疗健康管理股份有限公司 A kind of data processing method, device, equipment and storage medium
CN111930723A (en) * 2020-09-25 2020-11-13 国网冀北电力有限公司经济技术研究院 Scientific and technological achievement data fusion method based on big data

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"一种基于矩阵计算的数据开放隐私泄露评估方法";周旭晨;《计算机应用与软件》;第298-303页 *
W. Zi-chen."Medical Information Storage Model Based on Block Chain,".《2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)》.第39-44页. *

Also Published As

Publication number Publication date
CN113190760A (en) 2021-07-30

Similar Documents

Publication Publication Date Title
TW535066B (en) Method for sharing data between cable platform and wireless platform and system thereof
CN202058215U (en) On-line safety inspection system
CN110119294A (en) The generation method of menu page, apparatus and system
WO2013012013A1 (en) Digital watermark advertising content service system
US20090307321A1 (en) System and method for communicating an air travel message
CN113190760B (en) Data processing method of regional health information platform
CN109492056A (en) A kind of method and system of business intelligence data inquiry
KR20020039648A (en) Wireless Application Service Provider system
JP2016532224A (en) Data tag carrier information application and processing system and method
CN103886773B (en) Under a kind of B/S environment in GIS map the method for Real-Time Monitoring taxi
GB2596760A (en) Universal web service for DICOM objects
TW200935261A (en) Federated search data normalization for rich presentation
CN105139217A (en) Method, apparatus and system used for acquiring user information
CN110597903A (en) Health record extensible model implementation method and system based on indexes and reports
US20060146727A1 (en) Tracking of process-related communication
CN109918479B (en) Method and device for processing information
JP5169610B2 (en) Data collection / delivery device, data collection / delivery system, data collection / delivery method and program
JP2004287934A (en) Information providing system and context information extracting method
CN113645211B (en) Universal data uplink credit system and method
US20080270537A1 (en) Communication system and reply method thereof
JP3866173B2 (en) Electronic form input support apparatus and program
KR20010027755A (en) System and method for displaying vehicle location information
CN110224921B (en) Method, device, medium and electronic equipment for sending mail containing recruitment information
JP5169384B2 (en) CONFERENCE SYSTEM, TERMINAL DEVICE, CONFERENCE SUPPORT DEVICE, AND PROGRAM
CN1868198B (en) Process for the gradual exchange of personal information in non-trusted peer-to-peer environments

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant