CN114817752A - Screening system and screening method for medical institution - Google Patents

Screening system and screening method for medical institution Download PDF

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Publication number
CN114817752A
CN114817752A CN202210737962.XA CN202210737962A CN114817752A CN 114817752 A CN114817752 A CN 114817752A CN 202210737962 A CN202210737962 A CN 202210737962A CN 114817752 A CN114817752 A CN 114817752A
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medical
probing
data
condition
exploration
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CN114817752B (en
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苏志鹄
王实
张奇
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Beijing Huimeiyun Technology Co ltd
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Beijing Huimeiyun Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/602—Providing cryptographic facilities or services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6227—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries

Abstract

The application provides a screening system and a screening method for a medical institution, which are applied to the technical field of medical data analysis, wherein the screening system for the medical institution comprises a cloud platform, at least one exploration condition calculation device and at least one data processing device; the cloud platform sends the exploration request, under the condition that data safety is guaranteed, medical data of different medical institutions to be detected after entity extraction is carried out through the data processing device are obtained, meanwhile, the exploration condition calculation device can efficiently calculate evaluation conditions of the exploration conditions of the various medical institutions to be detected and the exploration user and feed the evaluation conditions back to the cloud platform, the cloud platform screens out target medical institutions meeting the exploration request, and therefore accuracy and efficiency of screening the medical institutions meeting the exploration conditions are improved.

Description

Screening system and screening method for medical institution
Technical Field
The application relates to the technical field of medical data analysis, in particular to a screening system and a screening method for a medical institution.
Background
After a medicine enterprise produces new medicines, a cooperative hospital and patients participating in clinical tests need to be determined as soon as possible, in order to meet the requirements of the medicine enterprise, a clinical test process is derived, and clinical tests mine and explore the potential of clinical tests of hospitals through clinical data, so that the medicine enterprise is a very important business in the medical field; however, in consideration of the security of patient data such as cases, a medicine enterprise having a search requirement cannot acquire patient data of each medical institution, and even after the patient data of the medical institution is acquired through authentication, the medical institution meeting the needs of the medicine enterprise cannot be efficiently and accurately determined due to a series of problems such as large clinical data volume and irregular writing format (a lot of key information appears in electronic medical records handwritten by doctors), and how to efficiently and accurately screen out the medical institutions meeting the needs of the medicine enterprise becomes a problem to be solved urgently.
Disclosure of Invention
In view of this, an object of the present application is to provide a screening system and a screening method for medical institutions, where a cloud platform sends a search request, and under the condition that data security is guaranteed, medical data of different medical institutions to be detected after entity extraction by a data processing device is obtained, and meanwhile, a search condition calculation device can efficiently calculate evaluation conditions of search conditions of each medical institution to be detected and a search user and feed the evaluation conditions back to the cloud platform, and the cloud platform screens a target medical institution meeting the search request, which is helpful for improving accuracy and efficiency of screening the medical institution meeting the search conditions.
In a first aspect, an embodiment of the present application provides a screening system for a medical institution, where the screening system includes a cloud platform, at least one exploration condition calculation apparatus, and at least one data processing apparatus;
the cloud platform is used for encrypting to generate a probing request according to at least one probing condition input by a probing user and sending the probing request to each probing condition computing device; receiving the investigation condition evaluation results of each medical institution to be evaluated sent by each investigation condition computing device, and determining a target medical institution meeting the investigation requirements of the investigation user;
the exploration condition calculation device is used for sending a data acquisition request to the data processing device after receiving an exploration request sent by the cloud platform, and receiving at least one piece of target medical data fed back by the data processing device; comparing a plurality of pieces of target medical data in the associated data processing device according to at least one encrypted probing condition in the analyzed probing request, determining a probing condition evaluation result of the associated medical institution to be evaluated according to a matching result of the plurality of pieces of target medical data and the at least one encrypted probing condition, and returning the probing condition evaluation result to the cloud platform;
the data processing device is used for connecting the corresponding database of the medical institution to be evaluated and performing keyword extraction processing on the clinical medical data in the connected database of the medical institution to be evaluated to obtain at least one piece of target medical data; and when receiving the data acquisition request of the probing condition calculation device, sending the at least one piece of target medical data to the probing condition calculation device; each piece of target medical data comprises a plurality of medical entities and incidence relations among the medical entities.
In one possible implementation, the data processing apparatus includes an entity extraction module, an entity standardization module, and a target data generation module;
the entity extraction module is used for extracting at least one entity to be processed from each piece of clinical medical data in the medical institution to be evaluated based on a pre-trained medical concept and relationship model and determining the incidence relationship among the entities to be processed; sending the at least one entity to be processed to the entity standardization module, and sending the incidence relation among the entities to be processed to the target data generation module;
the entity standardization module is used for standardizing each entity to be processed based on a medical concept standard which is made in advance to determine a plurality of medical entities; and sending the plurality of medical entities to the target data generation module;
and the target data generation module is used for generating at least one piece of target medical data after performing association encryption on each two received medical entities with the association relation.
In a possible implementation, the probing condition calculating means is further configured to:
and after the probing request is received, decrypting the encrypted probing condition by using a first secret key agreed with the cloud platform to obtain at least one probing condition corresponding to the probing request.
In a possible implementation, the probing condition calculating means is further configured to:
and for each piece of received target medical data, decrypting the entry mark medical data by using a second secret key agreed with the data processing device, and determining a data main key and a data value in the entry mark medical data.
In one possible implementation, the probing condition includes a probing target and a probing threshold condition; the probing condition calculating means is further for:
screening out candidate medical data with a data key consistent with the exploration target from the at least one piece of target medical data according to the exploration target;
and for each piece of candidate medical data, if the data value in the piece of candidate medical data meets the corresponding probing threshold condition, determining that a to-be-evaluated medical institution to which the piece of candidate medical data belongs hits a probing condition.
In one possible implementation, the cloud platform is used for determining a target medical institution meeting the exploration requirement of an exploration user by the following steps:
and screening out a plurality of target medical institutions which are sequenced in front of the preset position and meet the exploration requirements of the exploration users on the basis of the exploration condition evaluation results sent by the exploration condition calculation devices.
In one possible embodiment, the investigation condition evaluation result comprises whether each medical institution to be evaluated hits the investigation condition and the number of hits on the investigation condition; the cloud platform is further configured to:
and sequencing the medical institutions to be evaluated according to the number of hit probing conditions from high to low on the basis of the probing condition evaluation results sent by the probing condition calculation devices.
In one possible implementation, the cloud platform is further configured to:
if at least two to-be-evaluated medical institutions with consistent number of hit exploration conditions exist, the at least two to-be-evaluated medical institutions are sequenced according to the priority of the hit exploration conditions from high to low according to the preset priority of the exploration conditions.
In one possible implementation, the cloud platform is further configured to:
when a login request of a probe user is received, detecting whether the probe user exists in a cooperative user database or not according to a login identifier of the probe user;
if the probe user exists in the cooperative user database, detecting whether a first login password and a second login password input by the probe user are both correct;
and if the first login password and the second login password input by the exploration user are both correct, receiving the input of the exploration user.
In a second aspect, the present application further provides a screening method for a medical institution, where the screening method is applied to a screening system for the medical institution, and the screening method includes:
controlling the cloud platform to encrypt and generate a probing request according to at least one probing condition input by a probing user, and sending the probing request to each probing condition computing device; receiving the investigation condition evaluation results of all medical institutions to be evaluated sent by all the investigation condition calculation devices, and determining target medical institutions meeting the investigation requirements of investigation users;
controlling the exploration condition calculation device to send a data acquisition request to the data processing device after receiving an exploration request sent by the cloud platform, and receiving at least one piece of target medical data fed back by the data processing device; comparing a plurality of pieces of target medical data in the associated data processing device according to at least one encrypted probing condition in the analyzed probing request, determining a probing condition evaluation result of the associated medical institution to be evaluated according to a matching result of the plurality of pieces of target medical data and the at least one encrypted probing condition, and returning the probing condition evaluation result to the cloud platform;
controlling the data processing device to be connected with a corresponding database of the medical institution to be evaluated, and performing keyword extraction processing on clinical medical data in the connected database of the medical institution to be evaluated to obtain at least one piece of target medical data; and when receiving a data acquisition request of the probing condition calculation device, sending the at least one piece of target medical data to the probing condition calculation device; each piece of target medical data comprises a plurality of medical entities and incidence relations among the medical entities.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operated, the machine readable instructions when executed by the processor performing the steps of the medical facility screening method as described above.
In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to execute the steps of the screening control method of a medical institution as described above.
The screening system and the screening method for the medical institution provided by the embodiment of the application can be used for inputting a plurality of exploration conditions by logging in a cloud platform when an exploration user has an exploration requirement, the cloud platform generates exploration requests after receiving the plurality of exploration conditions input by the exploration user and encrypting the exploration conditions, the exploration requests are respectively sent to an exploration condition computing device, the exploration condition computing device generates a data acquisition request to acquire at least one piece of target medical data from a data processing device after receiving the exploration request sent by the cloud platform, the data processing device sends the stored processed at least one piece of target medical data to the exploration condition computing device after receiving the data acquisition request sent by the exploration condition computing device, and the exploration condition computing device is matched with the received target medical data according to the analyzed exploration conditions after the target medical data is received, and determining the investigation condition evaluation results of the associated medical institutions to be evaluated to return to the cloud platform, and determining the target medical institutions meeting the investigation requirements of the investigation users by the cloud platform according to the investigation condition evaluation results sent by the investigation condition calculation devices. In the embodiment of the application, the exploration request is sent through the cloud platform, under the condition that data safety is guaranteed, medical data of different medical institutions to be detected after entity extraction is carried out through the data processing device are obtained, meanwhile, the exploration condition calculation device can efficiently calculate evaluation conditions of the exploration conditions of the medical institutions to be detected and the exploration user and feed the evaluation conditions back to the cloud platform, the cloud platform screens out target medical institutions meeting the exploration request, and accuracy and efficiency of screening out the medical institutions meeting the exploration conditions are improved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic structural diagram of a screening system of a medical institution according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 3 is a second schematic structural diagram of a screening system of a medical institution according to an embodiment of the present application;
fig. 4 is a flowchart of a screening method for a medical institution according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Icon: 100-a screening system; 110-cloud platform; 120-probing condition calculating means; 130-a data processing device; 131-entity extraction module; 132-entity standardization module; 133-target data generation module; 140-medical institution database; 500-an electronic device; 510-a processor; 520-a memory; 530-bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.
First, an application scenario to which the present application is applicable will be described. The method and the device can be applied to the technical field of medical data analysis.
Research shows that after a medicine enterprise produces new medicines, a cooperative hospital and patients participating in clinical tests need to be determined as soon as possible, in order to meet the requirements of the medicine enterprise, a clinical test process is derived, and the clinical tests dig and explore the potential of the clinical tests of the hospital through clinical data and are a very important business in the medical field; however, in consideration of the security of patient data such as cases, a medicine enterprise having a search requirement cannot acquire patient data of each medical institution, and even after the patient data of the medical institution is acquired through authentication, the medical institution meeting the needs of the medicine enterprise cannot be efficiently and accurately determined due to a series of problems such as large clinical data volume and irregular writing format (a lot of key information appears in electronic medical records handwritten by doctors), and how to efficiently and accurately screen out the medical institutions meeting the needs of the medicine enterprise becomes a problem to be solved urgently.
Based on this, the embodiment of the application provides a screening system of medical institutions to promote and select the accuracy and the efficiency that accord with the medical institutions who explores the condition.
In one possible embodiment, a screening system 100 for a medical facility is disclosed.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a screening system 100 of a medical institution according to an embodiment of the present disclosure, in which the screening system 100 of the medical institution includes a cloud platform 110, at least one probing condition calculation device 120, and at least one data processing device 130; the cloud platform 110 is used as a general control platform of the whole system, when a probing user has a probing requirement, a plurality of probing conditions can be input by logging in the cloud platform 110, the cloud platform 110 generates probing requests after receiving the plurality of probing conditions input by the probing user and encrypting the probing conditions, the probing requests are respectively sent to the probing condition computing device 120, the probing condition computing device 120 generates a data acquisition request to acquire at least one piece of target medical data from the data processing device 130 after receiving the probing request sent by the cloud platform 110, the data processing device 130 sends the stored processed at least one piece of target medical data to the probing condition computing device 120 after receiving the data acquisition request sent by the probing condition computing device 120, the probing condition computing device 120 matches the analyzed probing conditions with the received target medical data according to the target medical data, and determining the investigation condition evaluation results of the associated medical institutions to be evaluated to return to the cloud platform 110, and determining the target medical institutions meeting the investigation requirements of the investigation users by the cloud platform 110 according to the investigation condition evaluation results sent by the investigation condition calculation devices.
Specifically, the cloud platform 110 is configured to encrypt and generate a probing request according to at least one probing condition input by a probing user, and send the probing request to each probing condition computing device; and receiving the investigation condition evaluation results sent by each investigation condition computing device to the medical institutions to be evaluated, and determining the target medical institutions meeting the investigation requirements of the investigation users.
In the embodiment of the present application, a user refers to a user with a drug evaluation requirement, when the user needs to test a condition that some drugs may be used in each medical institution, a proper medical institution for clinical trials may need to be selected from different medical institutions, and at this time, the user may log in the cloud platform 110 to input a search condition of the user, and it is to be noted that, in order to ensure the security of data of the medical institution, the user may log in the cloud platform 110 as a qualified user authenticated by the cloud platform 110, and the identity of the user is authenticated by a double password in a user login process.
In a possible embodiment, the cloud platform 110 is further configured to:
when a login request of a probe user is received, detecting whether the probe user exists in a cooperative user database or not according to a login identifier of the probe user;
if the probe user exists in the cooperative user database, detecting whether a first login password and a second login password input by the probe user are both correct;
and if the first login password and the second login password input by the exploration user are both correct, receiving the input of the exploration user.
In the embodiment of the present application, the login identifier of the probe user is an unique identifier capable of representing the identity of the user, and may be a name of the user, an account number (such as a mobile phone number) when registering a nickname, and the like, when the user registers, the cooperation user database of the cloud platform 110 records the unique identifier, password information, basic information of the user, and the like of the user, and after receiving the login identifier of the probe user, the user needs to search in the cooperation user database according to the login identifier, and if a storage identifier consistent with the user identifier of the probe user is found in the cooperation user database, it is determined that the probe user is a registered user, and the user can log in the cloud platform 110. If the storage identifier consistent with the user identifier of the probe user is not found in the cooperative user database, the information of login failure can be returned, and the probe user is prompted to log in after completing the registration on the cloud platform 110.
In a possible implementation manner, when it is determined that the probe user can log in the cloud platform 110, login password authentication needs to be performed on the probe user, in this embodiment of the application, the first password and the second password may be passwords of different properties, the first password is a password set when the user registers, in order to prevent a security problem caused by leakage of the user password, the second password is set as a dynamic password, when the probe user logs in the cloud platform, a dynamic password may be sent to the probe user through a mobile phone number, a mailbox number, and the like when the user registers, the first password and the second password input by the probe user are received within a specified time, and only when the first password and the second password input by the probe user are both correct, it is determined that the login authentication of the probe user passes, and the probe user can log in the cloud platform 110.
In one possible implementation, after receiving the plurality of probing conditions input by the probing user, in order to ensure the security of the probing process, the cloud platform 110 needs to encrypt the probing conditions input by the probing user and generate a probing request to be sent to each probing condition computing device 120.
In one possible embodiment, the encryption of the cloud platform 110 for the probing condition may be symmetric encryption or asymmetric encryption, and the key is disclosed at the cloud platform 110 and each probing condition computing device 120.
In this embodiment of the application, after receiving the investigation condition evaluation results of each medical institution to be evaluated sent by each investigation condition calculation device 120, the cloud platform 110 needs to sort the investigation condition evaluation results of each medical institution to be evaluated according to the investigation condition evaluation results of each medical institution to be evaluated, and then determines a target medical institution meeting the investigation condition.
Specifically, the cloud platform 110 is configured to determine a target medical institution meeting the exploration requirement of the exploration user by:
based on the investigation condition evaluation results sent by the respective investigation condition calculation means 120, a plurality of target medical institutions which are ranked in front of the preset position and meet the investigation requirements of the investigation user are screened out.
In the embodiment of the present application, the preset position represents the number of target medical institutions to be screened, and the number may be determined by the exploration user according to exploration requirements.
For example, when the probing user inputs the probing condition, the number of the target medical institutions required to be determined at this time may be specified, and if the probing user indicates that 3 target medical institutions are required to be determined at this time, the cloud platform 110 needs to determine the medical institutions to be evaluated with the top 3 ranking positions as the target medical institutions after ranking the medical institutions to be evaluated.
In a possible embodiment, the investigation condition evaluation result includes whether each medical institution to be evaluated hits the investigation condition and the number of hits of the investigation condition, and on this basis, the cloud platform 110 is further configured to:
and sequencing the medical institutions to be evaluated according to the number of hit probing conditions from high to low on the basis of the probing condition evaluation results sent by the probing condition calculation devices.
In the embodiment of the application, the medical institutions to be evaluated can be sorted according to the number of the probing conditions hit by different medical institutions to be evaluated from high to low.
For example, it can be known by analyzing the evaluation results of the respective investigation conditions that the medical institution a to be evaluated hits the investigation user that the number of the investigation conditions is 5; the number of probing conditions for probing users hit by the medical institution B to be evaluated is 7; the number of the probing conditions of the probing user hit by the medical institution to be evaluated C is 1, and the ranking of the medical institutions to be evaluated can be the medical institution to be evaluated B, the medical institution to be evaluated a and the medical institution to be evaluated C.
In one possible implementation, the number of the probing conditions hit by the probing user by the medical institution to be evaluated can be recorded by scoring, for example, the number of the probing conditions hit by one probing condition can be increased by 1.
In the embodiment of the present application, if there is a number of hit detection conditions when ranking medical institutions to be evaluated according to the number of hit detection conditions, it is necessary to add a ranking condition.
In one possible implementation, the cloud platform 110 is further configured to:
if at least two to-be-evaluated medical institutions with consistent number of hit exploration conditions exist, the at least two to-be-evaluated medical institutions are sequenced according to the priority of the hit exploration conditions from high to low according to the preset priority of the exploration conditions.
Specifically, when the probing user sets probing conditions on the cloud platform 110, priorities of different probing conditions may be set, and the priorities may represent conditions that the probing user focuses on in the probing process.
Here, if there are at least two medical institutions to be evaluated with the same number of hit investigation conditions, the at least two medical institutions to be evaluated may be sorted again in the order of the hit investigation conditions from high to low according to the priorities of the different investigation conditions hit by the different medical institutions to be evaluated.
For example, it can be known by analyzing the evaluation results of the respective investigation conditions that the number of the investigation conditions hit the investigation user by the medical institution X to be evaluated is 1; the number of probing conditions for probing users hit by the medical institution to be evaluated W is also 1; however, the priority of the probing condition hit by the evaluation medical institution W to be evaluated is higher than the priority of hit by the evaluation medical institution X to be evaluated, and therefore, when the evaluation medical institutions are sorted, the sorting of the evaluation medical institution W to be evaluated is performed before the evaluation medical institution X to be evaluated.
In another possible implementation, the ranking may also be performed according to the number of data hit by each probing condition by different medical institutions to be evaluated, specifically:
and if at least two to-be-evaluated medical institutions with consistent number of hit exploration conditions exist, sequencing the at least two to-be-evaluated medical institutions according to the number of data hitting the exploration conditions of each to-be-evaluated medical institution from high to low.
For the above example, it can be known by analyzing the evaluation results of the respective investigation conditions, and the number of the investigation conditions hit by the investigation user by the medical institution X to be evaluated is 1; the number of probing conditions for probing users hit by the medical institution to be evaluated W is also 1; however, the number of the investigation conditions hit by the evaluation medical institution W to be evaluated is 10, and the number of the investigation conditions hit by the evaluation medical institution X to be evaluated is 5, so that the evaluation medical institution W to be evaluated is sorted before the evaluation medical institution X to be evaluated when the evaluation medical institutions to be evaluated are sorted.
The probing condition calculating device 120 is configured to send a data obtaining request to the data processing device 130 after receiving a probing request sent by the cloud platform 110, and receive at least one piece of target medical data fed back by the data processing device; comparing the plurality of pieces of target medical data in the associated data processing device 130 according to at least one encrypted probing condition in the parsed probing request, determining a probing condition evaluation result of the associated medical institution to be evaluated according to a matching result of the plurality of pieces of target medical data and the at least one encrypted probing condition, and returning the probing condition evaluation result to the cloud platform 110.
In this embodiment of the application, in order to ensure the security of the probing condition of the probing user and the security of the medical data in the data processing device 130, when the probing condition and the medical data are transferred between different devices, the probing condition and the medical data need to be encrypted, and therefore, the probing condition calculating device 120 needs to decrypt and then perform subsequent processing processes when receiving the probing request sent by the cloud platform 110 and the target medical data sent by the data processing device 130.
Specifically, the probing condition calculating means 120 is further configured to:
and after the probing request is received, decrypting the encrypted probing condition by using a first secret key agreed with the cloud platform to obtain at least one probing condition corresponding to the probing request.
In this embodiment of the application, after receiving the probe request sent by the cloud platform 110, the first key agreed with the cloud platform 110 needs to be used for decryption, and at least one probe condition of the probe user is analyzed from the probe request.
The probing condition calculating means 120 is further configured to:
and for each piece of received target medical data, decrypting the entry mark medical data by using a second secret key agreed with the data processing device, and determining a data main key and a data value in the entry mark medical data.
In the embodiment of the present application, the probing condition calculating device 120 and the data processing device 130 are in a one-to-one correspondence, and therefore, the second keys between different probing condition calculating devices 120 and data processing devices 130 may be the same or different, and may be set according to requirements, and are not limited specifically herein.
In a possible embodiment, since the medical data in the data processing device 130 is distilled data only including the primary key and the association relationship, after the investigation condition calculation device 120 has analyzed each item of labeled medical data, it is further required to determine the primary key and the data value of the data from each item of labeled medical data, so that the subsequent investigation condition calculation device 120 matches a plurality of investigation conditions according to the primary key and the data value of the data in the target medical data, and determines the hit result of the investigation conditions.
In the embodiment of the present application, for each probing condition, the probing condition represents the probing requirement of the probing user, because the probing user performs probing to determine whether the data of the patient in each medical institution to be tested meets the testing requirement of the probing user, the probing condition includes a probing target (condition primary key) and a probing threshold condition (condition value), and may further include a condition type, etc.
Specifically, the probing condition calculating means 120 is further configured to:
screening out candidate medical data with a data key consistent with the exploration target from the at least one piece of target medical data according to the exploration target;
and for each piece of candidate medical data, if the data value in the piece of candidate medical data meets the corresponding probing threshold condition, determining that a to-be-evaluated medical institution to which the piece of candidate medical data belongs hits a probing condition.
In the embodiment of the present application, for each probing condition, according to a probing target in the probing condition, screening out candidate medical data whose data primary key is consistent with the probing target from at least one piece of target medical data received by the probing condition calculation device 120; and for each determined piece of candidate medical data, if the data value in the piece of candidate medical data meets the corresponding probing threshold condition, determining that the entry marking medical data hits the corresponding probing condition.
It should be noted that, when it is determined that the medical institution to be evaluated hits the investigation condition, as long as any item of tagged medical data in the medical institution to be evaluated hits the investigation condition, it is determined that the medical institution to be evaluated hits the investigation condition.
In the embodiment of the present application, since it is directed to probing medical data, whether it is a probing target in a probing condition or a data primary key in target medical data is a medical entity in the medical field, including but not limited to: symptoms, physical examination, diagnosis, drug name, examination name, observation subject, operation name, and the like.
When the hit probing condition is determined, the target medical data consistent with the probing target in the probing condition can be determined as the candidate medical data.
For the whole process of probing condition hit, as explained below by an example, after the probing condition computing device 120 parses the probing request, wherein one probing condition Z is "the body temperature of the patient is higher than 38 ℃", then the probing target of the probing condition Z is "the body temperature of the patient", and the probing threshold condition is "higher than 38 ℃"; the plurality of pieces of target medical data analyzed by the investigation condition calculation means 120 are: medical data 1 "… … patient X normothermia was 36.5 ℃ … …", medical data 2 "… … patient W coughed continuously for three days … …"; medical data 2 "… … patient M body temperature was 38.5 ℃ … …"; after screening according to the 'patient body temperature' of the exploration target, medical data which accord with the exploration target can be obtained as medical data 1 and medical data 3; after matching according to the probing threshold condition "higher than 38 ℃", it is determined that the medical data 3 hits the probing condition Z, and therefore, the probing condition calculation device 120 can conclude that the medical institution to be detected hits the probing condition Z, and the number of hits is 1.
In the embodiment of the present application, similarly, in order to ensure the security of the data, the probing condition calculating device 120 may encrypt the probing condition evaluation result and transmit the encrypted probing condition evaluation result to the cloud platform 110 when sending the probing condition evaluation result to the cloud platform 110.
In a possible implementation manner, since different medical institutions to be evaluated correspond to one probing condition calculation device 120, when each probing condition calculation device 120 sends a probing condition evaluation result to the cloud platform 110, the cloud platform 110 may send its own probing condition calculation device identifier to the cloud platform 110 at the same time, so that the cloud platform 110 may identify the medical institutions to be evaluated related to the probing condition calculation device 120 according to the probing condition calculation device identifier, and then rank and screen the medical institutions to be evaluated according to the condition that each medical institution to be evaluated hits the probing condition.
In another possible embodiment, one probing condition calculating device 120 may be configured to receive target medical data sent by different data processing devices 130, and after the probing condition calculating device 120 calculates corresponding probing condition evaluation results according to different data processing devices 130, the identifier of the medical institution to be evaluated connected to each data processing device 130 needs to be associated with each probing condition evaluation result to distinguish each probing condition evaluation result.
The data processing device 130 is configured to connect the database of the corresponding medical institution to be evaluated, and perform keyword extraction processing on the clinical medical data in the connected database of the medical institution to be evaluated to obtain at least one piece of target medical data; and upon receiving a data acquisition request of the probing condition calculating means 120, sending the at least one piece of target medical data to the probing condition calculating means 120; each piece of target medical data comprises a plurality of medical entities and incidence relations among the medical entities.
In the embodiment of the present application, in order to reduce the data transmission amount, the data processing device 130 is configured to perform distillation processing on the data in the database of each medical institution to be evaluated, only the key part (medical entity) in the medical data and the association relationship between different entities are reserved, and the data transmission time is greatly reduced in the data transmission process.
In the embodiment of the present application, please refer to fig. 2, fig. 2 is a schematic structural diagram of a data processing apparatus 130 provided in the embodiment of the present application, and as shown in fig. 2, the data processing apparatus 130 includes an entity extraction module 131, an entity standardization module 132, and a target data generation module 133; after extracting each medical entity to be processed and the entity relationship from the database of the connected medical institution to be evaluated, the entity extraction module 131 sends the at least one entity to be processed to the entity standardization module 132, and simultaneously sends the association relationship between the entities to be processed to the target data generation module 133; after receiving each entity to be processed, the entity standardization module 132 standardizes each entity to be processed to obtain a corresponding medical entity, and then sends each medical entity to the target data generation module 133; the target data generation module 133 performs association encryption on each two medical entities having an association relationship according to the received association relationship between each medical entity and different entities, generates at least one piece of target medical data, and sends the target medical data to the probing condition calculation device 120.
Specifically, the entity extraction module 131 is configured to, for each piece of clinical medical data in the medical institution to be evaluated, extract at least one entity to be processed from the piece of clinical medical data based on a pre-trained medical concept and a relationship model, and determine an association relationship between the entities to be processed; and sends the at least one entity to be processed to the entity standardization module 132, and sends the association relationship between the entities to be processed to the target data generation module 133.
In the embodiment of the present application, the clinical medical data is case data of different patients in the medical institution to be evaluated, and a time period may be defined, and case data of all patients in the medical institution to be evaluated in the time period is acquired.
In one possible implementation, the medical concept and relationship model may extract medical entities to be processed included in a case from a patient case, determine an association relationship between different entities, and determine the association relationship between different medical entities in the historical medical entity application process according to attributes of the different medical entities.
For example, there is such a sentence in a patient's clinical medical record: "fever 2 days, cough 3 days", from this sentence, the following several entities of medical concept were identified by the medical concept model: fever (symptoms), 2 days (duration), cough (symptoms), 3 days (duration); then, identifying the relationship between fever (symptoms) and 2 days (duration) through a medical concept relationship model; cough (symptoms) is associated with 3 days (duration).
An entity standardization module 132, configured to standardize each entity to be processed based on a predetermined medical concept standard, and determine a plurality of medical entities; and sends the plurality of medical entities to the target data generation module 133.
In the embodiment of the application, different medical institutions may adopt different case writing formats, and even the case book formats written by different doctors in the same medical institution may have certain differences, so that the extracted medical entity to be processed needs to be standardized in the data processing process to obtain the medical entity with a unified format, which is beneficial to the follow-up more accurate and smooth matching process of the medical institution and the exploration condition, and the evaluation efficiency of the medical institution to be detected is improved.
In one possible embodiment, the clinical trial field exploration general medical concept dictionary may be customized with reference to International Classification of Diseases (ICD) standards, and the clinical trial field standardized dictionary may be generated to perform standardized processing on the medical entity to be processed to generate a standardized medical entity.
The target data generating module 133 is configured to perform association encryption on each two received medical entities having an association relationship, and then generate at least one piece of target medical data.
In the embodiment of the present application, according to a received medical entity and an association relationship between different medical entities, each two medical entities having an association relationship are associated, and in order to ensure data security, each two associated medical entities need to be encrypted, so as to generate at least one piece of encrypted target medical data.
Similarly, the target medical data is composed of three parts, namely, a primary key (medical entity type), a value (medical entity), and a data type (medical entity data type, such as integer data, floating point data, and the like), that is, the target medical data includes a plurality of medical entities and an association relationship between the medical entities.
In one possible embodiment, the primary key in the target medical data is determined primarily by the type of medical concept entity; main medical entities such as symptoms, physical examination, diagnosis, drug name, examination name, observation object, operation name, and the like are used as main keys; the type of the medical entity is time, location, value, property, etc., and is used as the corresponding value of the primary key.
The process of evaluating a medical institution to be evaluated by the screening system 100 of the medical institution will be explained below by way of a specific example:
step one, the exploration user proposes through the cloud platform 110: and (3) probing conditions: age (primary key) > (logical comparison, greater than) 18 (numerical) years (unit), while blood glucose (primary key) < (comparison logical, less than) 7 (numerical) mmol/L (unit);
step two, the description of the clinical case history document of a certain medical institution to be evaluated is as follows: "the patient is 30 years old and the last time the blood sugar is checked to be 7.6 mmol/l. "the medical concept entity sequence identified according to the Natural Language Processing (NLP) model is: patient _ person age _ WAT, 30_ value, year _ unit, last _ TEN, physical examination _ MAN, blood glucose _ test, 7.6_ value, mmol/l _ unit.
Step three, obtaining the modification relation of every two entities in the step 2 through a medical concept relation model; a first set of relationships: age (key), 30 (value), year (unit), a second set of relationships: [ blood glucose (key), 7.6 (number), mmol/l ]; and stores the two arrays in the data processing device 130;
step four, the exploration condition calculation device 120 fetches data from the distillation data engine according to exploration conditions, for example, according to age, the value 30 can be fetched from the data processing device 130, and according to the type of exploration conditions, the data is a comparison logic (greater than), the threshold value 18; since 30>18, the result of the determination of the probing condition is true, that is, the medical institution to be evaluated hits the probing condition of the probing user.
In a possible implementation manner, referring to fig. 3, fig. 3 is a second schematic structural diagram of a screening system 100 of a medical institution according to an embodiment of the present application, where the screening system 100 further includes at least one medical institution database 140, each medical institution database 140 corresponds to one data processing device 130, and can send case data of a plurality of patients of the corresponding medical institution to the data processing device 130.
In one possible embodiment, the medical institution database 140 may selectively send the patient case data to the data processing device 130, rather than the data processing device 130 actively requesting the medical institution database 140 for the data, which may ensure the safety of the patient case data to a great extent.
In a possible implementation manner, the data processing device 130 is provided with a timed data processing task, and performs entity extraction on medical data in the data processing device 130 according to a preset time interval to generate target medical data, so as to ensure that newly-warehoused clinical medical record data is processed in time and stored in the data processing device 130 for subsequent exploration, thereby ensuring timeliness of data processing.
The embodiment of the application provides a screening system of a medical institution, when an exploration user has exploration requirements, a plurality of exploration conditions can be input by logging in a cloud platform, the cloud platform generates exploration requests after receiving the exploration conditions input by the exploration user and encrypting the exploration requests, the exploration requests are respectively sent to an exploration condition computing device, the exploration condition computing device generates a data acquisition request to obtain at least one piece of target medical data from a data processing device after receiving the exploration request sent by the cloud platform, the data processing device sends the stored processed at least one piece of target medical data to the exploration condition computing device after receiving the data acquisition request sent by the exploration condition computing device, the exploration condition computing device matches the analyzed exploration conditions with the received target medical data after receiving the target medical data, and determining the investigation condition evaluation results of the associated medical institutions to be evaluated to return to the cloud platform, and determining the target medical institutions meeting the investigation requirements of the investigation users by the cloud platform according to the investigation condition evaluation results sent by the investigation condition calculation devices. In the embodiment of the application, the exploration request is sent through the cloud platform, under the condition that data safety is guaranteed, medical data of different medical institutions to be detected after entity extraction is carried out through the data processing device are obtained, meanwhile, the exploration condition calculation device can efficiently calculate evaluation conditions of the exploration conditions of the medical institutions to be detected and the exploration user and feed the evaluation conditions back to the cloud platform, the cloud platform screens out target medical institutions meeting the exploration request, and accuracy and efficiency of screening out the medical institutions meeting the exploration conditions are improved.
Referring to fig. 4, fig. 4 is a flowchart illustrating a screening method for a medical institution according to an embodiment of the disclosure. As shown in fig. 4, a screening method for a medical institution according to an embodiment of the present application includes:
s401, controlling the cloud platform to encrypt and generate a probing request according to at least one probing condition input by a probing user, and sending the probing request to each probing condition computing device; and receiving the investigation condition evaluation results sent by each investigation condition computing device to the medical institutions to be evaluated, and determining the target medical institutions meeting the investigation requirements of the investigation users.
S402, controlling the probing condition computing device to send a data acquisition request to the data processing device after receiving a probing request sent by the cloud platform, and receiving at least one piece of target medical data fed back by the data processing device; and comparing the plurality of pieces of target medical data in the associated data processing device according to at least one encrypted probing condition in the analyzed probing request, determining a probing condition evaluation result of the associated medical institution to be evaluated according to a matching result of the plurality of pieces of target medical data and the at least one encrypted probing condition, and returning the probing condition evaluation result to the cloud platform.
S403, controlling the data processing device to be connected with a corresponding database of the medical institution to be evaluated, and performing keyword extraction processing on clinical medical data in the connected database of the medical institution to be evaluated to obtain at least one piece of target medical data; and when receiving the data acquisition request of the probing condition calculation device, sending the at least one piece of target medical data to the probing condition calculation device; each piece of target medical data comprises a plurality of medical entities and incidence relations among the medical entities.
In a possible implementation manner, the controlling the data processing device to connect to a database of a corresponding medical institution to be evaluated, and perform keyword extraction processing on clinical medical data in the connected database of the medical institution to be evaluated to obtain at least one piece of target medical data includes:
for each piece of clinical medical data in the medical institution to be evaluated, extracting at least one entity to be processed from the piece of clinical medical data based on a pre-trained medical concept and relationship model, and determining an association relationship between the entities to be processed;
standardizing each entity to be processed based on a predetermined medical concept standard to determine a plurality of medical entities;
and after each two received medical entities with the association relation are subjected to association encryption, at least one piece of target medical data is generated.
In one possible embodiment, the screening method further comprises:
and controlling the probing condition computing device to decrypt the encrypted probing conditions by using a first secret key agreed with the cloud platform after the probing request is received, so as to obtain at least one probing condition corresponding to the probing request.
In one possible embodiment, the screening method further comprises:
and controlling the probing condition calculation device to decrypt the entry medical data by using a second secret key appointed with the data processing device for each piece of received target medical data, and determining a data main key and a data value in the entry medical data.
In a possible implementation manner, the determining the evaluation result of the probing condition of the associated medical institution to be evaluated according to a matching result between the plurality of pieces of target medical data and the at least one encrypted probing condition in the parsed probing request includes:
screening out candidate medical data with a data key consistent with the exploration target from the at least one piece of target medical data according to the exploration target;
and for each piece of candidate medical data, if the data value in the piece of candidate medical data meets the corresponding probing threshold condition, determining that a to-be-evaluated medical institution to which the piece of candidate medical data belongs hits a probing condition.
In one possible embodiment, the target medical institution that meets the exploration requirements of the exploration user is determined by:
and screening out a plurality of target medical institutions which are sequenced in front of the preset position and meet the exploration requirements of the exploration users on the basis of the exploration condition evaluation results sent by the exploration condition calculation devices.
In a possible embodiment, the investigation condition evaluation result includes whether each medical institution to be evaluated hits the investigation condition and the number of hits on the investigation condition, and the screening method further includes:
and sequencing the medical institutions to be evaluated according to the number of hit probing conditions from high to low on the basis of the probing condition evaluation results sent by the probing condition calculation devices.
In one possible embodiment, the screening method further comprises:
if at least two to-be-evaluated medical institutions with consistent number of hit exploration conditions exist, the at least two to-be-evaluated medical institutions are sequenced according to the priority of the hit exploration conditions from high to low according to the preset priority of the exploration conditions.
In one possible embodiment, the screening method further comprises:
when a login request of a probe user is received, detecting whether the probe user exists in a cooperative user database or not according to a login identifier of the probe user;
if the probe user exists in the cooperative user database, detecting whether a first login password and a second login password input by the probe user are both correct;
and if the first login password and the second login password input by the exploration user are both correct, receiving the input of the exploration user.
The description of the screening method of the medical institution may be the description of the screening system of the medical institution, and the same technical effect can be achieved, which is not described in detail.
The embodiment of the application provides a screening method of a medical institution, when an exploration user has exploration requirements, a plurality of exploration conditions can be input by logging in a cloud platform, the cloud platform generates exploration requests after receiving the exploration conditions input by the exploration user and encrypting the exploration requests, the exploration requests are respectively sent to an exploration condition computing device, the exploration condition computing device generates a data acquisition request to obtain at least one piece of target medical data from a data processing device after receiving the exploration request sent by the cloud platform, the data processing device sends the stored processed at least one piece of target medical data to the exploration condition computing device after receiving the data acquisition request sent by the exploration condition computing device, the exploration condition computing device matches the analyzed exploration conditions with the received target medical data after receiving the target medical data, and determining the investigation condition evaluation results of the associated medical institutions to be evaluated to return to the cloud platform, and determining the target medical institutions meeting the investigation requirements of the investigation users by the cloud platform according to the investigation condition evaluation results sent by the investigation condition calculation devices. In the embodiment of the application, the exploration request is sent through the cloud platform, under the condition that data safety is guaranteed, medical data of different medical institutions to be detected after entity extraction is carried out through the data processing device are obtained, meanwhile, the exploration condition calculation device can efficiently calculate evaluation conditions of the exploration conditions of the medical institutions to be detected and the exploration user and feed the evaluation conditions back to the cloud platform, the cloud platform screens out target medical institutions meeting the exploration request, and accuracy and efficiency of screening out the medical institutions meeting the exploration conditions are improved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.
The memory 520 stores machine-readable instructions executable by the processor 510, when the electronic device 500 runs, the processor 510 and the memory 520 communicate through the bus 530, and when the machine-readable instructions are executed by the processor 510, the steps of the screening method of the medical institution in the method embodiment shown in fig. 4 may be performed.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the screening method of the medical institution in the method embodiment shown in fig. 4 may be executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some communication interfaces, indirect coupling or communication connection between devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A screening system of a medical institution is characterized by comprising a cloud platform, at least one exploration condition calculation device and at least one data processing device;
the cloud platform is used for encrypting to generate a probing request according to at least one probing condition input by a probing user and sending the probing request to each probing condition computing device; receiving the investigation condition evaluation results of each medical institution to be evaluated sent by each investigation condition computing device, and determining a target medical institution meeting the investigation requirements of the investigation user;
the exploration condition calculation device is used for sending a data acquisition request to the data processing device after receiving an exploration request sent by the cloud platform and receiving at least one piece of target medical data fed back by the data processing device; comparing a plurality of pieces of target medical data in the associated data processing device according to at least one encrypted probing condition in the analyzed probing request, determining a probing condition evaluation result of the associated medical institution to be evaluated according to a matching result of the plurality of pieces of target medical data and the at least one encrypted probing condition, and returning the probing condition evaluation result to the cloud platform;
the data processing device is used for connecting the corresponding database of the medical institution to be evaluated and performing keyword extraction processing on the clinical medical data in the connected database of the medical institution to be evaluated to obtain at least one piece of target medical data; and when receiving a data acquisition request of the probing condition calculation device, sending the at least one piece of target medical data to the probing condition calculation device; each piece of target medical data comprises a plurality of medical entities and incidence relations among the medical entities.
2. The screening system of claim 1, wherein the data processing apparatus comprises an entity extraction module, an entity normalization module, and a target data generation module;
the entity extraction module is used for extracting at least one entity to be processed from each piece of clinical medical data in the medical institution to be evaluated based on a pre-trained medical concept and relationship model and determining the incidence relationship among the entities to be processed; sending the at least one entity to be processed to the entity standardization module, and sending the incidence relation among the entities to be processed to the target data generation module;
the entity standardization module is used for standardizing each entity to be processed based on a medical concept standard which is made in advance to determine a plurality of medical entities; and sending the plurality of medical entities to the target data generation module;
and the target data generation module is used for generating at least one piece of target medical data after performing association encryption on each two received medical entities with the association relation.
3. The screening system of claim 1, wherein the probing condition calculating means is further configured to:
and after the probing request is received, decrypting the encrypted probing condition by using a first secret key agreed with the cloud platform to obtain at least one probing condition corresponding to the probing request.
4. The screening system of claim 2, wherein the probing condition calculating means is further configured to:
and for each piece of received target medical data, decrypting the entry mark medical data by using a second secret key agreed with the data processing device, and determining a data main key and a data value in the entry mark medical data.
5. The screening system of claim 4, wherein the probing conditions include probing targets and probing threshold conditions; the probing condition calculating means is further for:
screening out candidate medical data with a data key consistent with the exploration target from the at least one piece of target medical data according to the exploration target;
and for each piece of candidate medical data, if the data value in the piece of candidate medical data meets the corresponding probing threshold condition, determining that a to-be-evaluated medical institution to which the piece of candidate medical data belongs hits a probing condition.
6. The screening system of claim 1, wherein the cloud platform is configured to determine a target medical facility that meets the exploration needs of an exploration user by:
and screening out a plurality of target medical institutions which are sequenced in front of the preset position and meet the exploration requirements of the exploration users on the basis of the exploration condition evaluation results sent by the exploration condition calculation devices.
7. The screening system according to claim 6, wherein the investigation condition evaluation result includes whether each medical institution to be evaluated hits the investigation condition and the number of hits on the investigation condition; the cloud platform is further configured to:
and sequencing the medical institutions to be evaluated according to the number of hit probing conditions from high to low on the basis of the probing condition evaluation results sent by the probing condition calculation devices.
8. The screening system of claim 7, wherein the cloud platform is further configured to:
if at least two to-be-evaluated medical institutions with consistent number of hit exploration conditions exist, the at least two to-be-evaluated medical institutions are sequenced according to the priority of the hit exploration conditions from high to low according to the preset priority of the exploration conditions.
9. The screening system of claim 1, wherein the cloud platform is further configured to:
when a login request of a probe user is received, detecting whether the probe user exists in a cooperative user database or not according to a login identifier of the probe user;
if the probe user exists in the cooperative user database, detecting whether a first login password and a second login password input by the probe user are both correct;
and if the first login password and the second login password input by the exploration user are both correct, receiving the input of the exploration user.
10. A screening method for a medical institution, which is applied to the screening system for a medical institution according to any one of claims 1 to 9, the screening method comprising:
controlling the cloud platform to encrypt and generate a probing request according to at least one probing condition input by a probing user, and sending the probing request to each probing condition computing device; receiving the investigation condition evaluation results of each medical institution to be evaluated sent by each investigation condition computing device, and determining a target medical institution meeting the investigation requirements of the investigation user;
controlling the probing condition computing device to send a data acquisition request to the data processing device after receiving a probing request sent by the cloud platform, and receiving at least one piece of target medical data fed back by the data processing device; comparing a plurality of pieces of target medical data in the associated data processing device according to at least one encrypted probing condition in the analyzed probing request, determining a probing condition evaluation result of the associated to-be-tested medical institution according to a matching result of the plurality of pieces of target medical data and the at least one encrypted probing condition, and returning the probing condition evaluation result to the cloud platform;
controlling the data processing device to be connected with a corresponding database of the medical institution to be evaluated, and performing keyword extraction processing on clinical medical data in the connected database of the medical institution to be evaluated to obtain at least one piece of target medical data; and when receiving a data acquisition request of the probing condition calculation device, sending the at least one piece of target medical data to the probing condition calculation device; each piece of target medical data comprises a plurality of medical entities and incidence relations among the medical entities.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018039280A1 (en) * 2016-08-22 2018-03-01 Nelson Robert P Jr Systems, methods, and diagnostic support tools for facilitating the diagnosis of medical conditions
CN113707297A (en) * 2021-08-26 2021-11-26 平安国际智慧城市科技股份有限公司 Medical data processing method, device, equipment and storage medium
CN114141384A (en) * 2022-01-30 2022-03-04 北京欧应信息技术有限公司 Method, apparatus and medium for retrieving medical data
CN114580007A (en) * 2021-11-09 2022-06-03 阿里云计算有限公司 Medical data desensitization methods and apparatus

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018039280A1 (en) * 2016-08-22 2018-03-01 Nelson Robert P Jr Systems, methods, and diagnostic support tools for facilitating the diagnosis of medical conditions
CN113707297A (en) * 2021-08-26 2021-11-26 平安国际智慧城市科技股份有限公司 Medical data processing method, device, equipment and storage medium
CN114580007A (en) * 2021-11-09 2022-06-03 阿里云计算有限公司 Medical data desensitization methods and apparatus
CN114141384A (en) * 2022-01-30 2022-03-04 北京欧应信息技术有限公司 Method, apparatus and medium for retrieving medical data

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