WO2020000804A1 - 医疗信息的获取方法、系统及服务器 - Google Patents

医疗信息的获取方法、系统及服务器 Download PDF

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Publication number
WO2020000804A1
WO2020000804A1 PCT/CN2018/111383 CN2018111383W WO2020000804A1 WO 2020000804 A1 WO2020000804 A1 WO 2020000804A1 CN 2018111383 W CN2018111383 W CN 2018111383W WO 2020000804 A1 WO2020000804 A1 WO 2020000804A1
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medical information
information
medical
hospital
acquisition request
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PCT/CN2018/111383
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English (en)
French (fr)
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牛奔
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平安科技（深圳）有限公司
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Publication of WO2020000804A1 publication Critical patent/WO2020000804A1/zh

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures

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  • the present application relates to the field of communication technologies, and in particular, to a method, a system, and a server for acquiring medical information.
  • Hospitals are one of the important institutions in society. Information management has been implemented in current hospitals, and all data in the consultation process can be entered into the hospital's database and stored through the terminal. Each hospital also has hardware resources such as a database for storing its own data and a server supporting the database.
  • the medical information of all hospitals in a region can be used to provide accurate references for, for example, the prediction of infectious disease development trends and the scheduling of medical supplies.
  • each hospital in a region manages its own medical data, such as medical treatment data, medical resource data, and so on. If you want to obtain medical information in a region, you need to obtain medical data from each hospital in the region, which will take a lot of time and is very inefficient. Moreover, because each hospital manages its own data, it is impossible to prohibit the hospital from tampering with the data without authorization, resulting in poor reliability of the obtained information.
  • the embodiments of the present application provide a method, a system, and a server for obtaining medical information, which are used to solve the problem that it takes a lot of time to obtain medical information in a region in the prior art, the efficiency is low, and the possibility of data tampering exists. This leads to a problem of poor reliability of the obtained information.
  • an embodiment of the present application provides a method for acquiring medical information, where the method includes:
  • the blockchain is used to store historical diagnosis and treatment data of all hospitals in a specified area;
  • an embodiment of the present application provides a medical information acquisition system configured on a blockchain platform.
  • the system includes:
  • a request receiving module configured to receive a medical information acquisition request from a client, where the medical information acquisition request includes an information type
  • a data reading module configured to read the original diagnosis and treatment data related to the medical information acquisition request from a blockchain, where the blockchain is used to store historical diagnosis and treatment data of all hospitals in a specified area;
  • a data processing module configured to perform processing corresponding to the information type on the original diagnosis and treatment data according to the information type to obtain target medical information corresponding to the medical information acquisition request;
  • An information returning module is configured to return the target medical information to the client.
  • an embodiment of the present application provides a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer To achieve the following steps during the program:
  • the blockchain is used to store historical diagnosis and treatment data of all hospitals in a specified area;
  • an embodiment of the present application provides a computer non-volatile readable storage medium.
  • the computer non-volatile readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented: Receiving a client's medical information acquisition request, where the medical information acquisition request includes an information type;
  • the blockchain is used to store historical diagnosis and treatment data of all hospitals in a specified area;
  • the original diagnosis and treatment data related to the medical information retrieval request is read from the blockchain, and the original diagnosis and treatment data is compared with the information type according to the information type of the medical information retrieval request
  • obtain the target medical information corresponding to the medical information acquisition request return the target medical information to the client, and use the blockchain that stores the historical diagnosis and treatment data of all hospitals in an area to obtain the medical information in the area, which is convenient and fast.
  • the time is very short, so it is efficient.
  • the data in the blockchain cannot be tampered with, the data in the blockchain has high credibility, thereby ensuring that the obtained information has high reliability.
  • FIG. 1 is a first example flowchart of a method for acquiring medical information provided by an embodiment of the present application.
  • FIG. 2 is a second exemplary flowchart of a method for acquiring medical information according to an embodiment of the present application.
  • FIG. 3 is a structural block diagram of a medical information acquisition system according to an embodiment of the present application.
  • FIG. 4 is a simplified block diagram of a server provided by an embodiment of the present application.
  • the embodiment of the present application provides a method for acquiring medical information.
  • the method for acquiring medical information provided in the embodiments of the present application is executed on a server corresponding to a client.
  • FIG. 1 is a first example flowchart of a method for acquiring medical information provided by an embodiment of the present application.
  • the method for acquiring medical information is executed on a server corresponding to a client.
  • the method may include the following steps:
  • S101 Receive a medical information acquisition request from a client, and the medical information acquisition request includes an information type.
  • the blockchain is used to store historical diagnosis and treatment data of all hospitals in the specified area.
  • S103 According to the information type, perform processing corresponding to the information type on the original diagnosis and treatment data to obtain target medical information corresponding to the medical information acquisition request.
  • the client may be a computer, a tablet computer, a mobile phone, or the like.
  • the information type can be set in advance by the server according to the data services it can provide. For example, if it is capable of performing statistical processing on the original data, the information type may include a statistical type; if it is capable of performing prediction based on the original data, the information type may include a prediction type, and so on.
  • the server may set the information type of the medical information acquisition request according to the specific situation.
  • the scope of the designated area can be determined according to actual needs.
  • the range of a designated region can be the range of one province, or the range of multiple provinces, such as the Yangtze River Delta, the Pearl River Delta, and the Northeast.
  • the historical diagnosis and treatment data may include the diagnosis type, age, date of diagnosis, etc. of the patient.
  • the index information of the read data can be determined according to the specific content of the medical information acquisition request, and then based on the index information, Read the corresponding data in the blockchain.
  • the index information may be a keyword, a number, and so on.
  • step S102 the original diagnosis and treatment data related to the medical information acquisition request comes from the blockchain, and the blockchain stores the historical diagnosis and treatment data of all hospitals in the specified area.
  • This advantage is that on the one hand, from the blockchain, It can directly read the historical diagnosis and treatment data of all hospitals in the specified area, and does not need to obtain data from each hospital in the specified area. This greatly reduces the time and time required to obtain the data, so it can improve efficiency and obtain data from Obtaining data from multiple places instead of one place reduces the number of acquisition operations, which is more convenient and fast.
  • Medical information acquisition requests have different types of information, and the corresponding data processing methods are different. Therefore, the original diagnosis and treatment data read from the blockchain need to be processed according to the type of information according to the type of information in order to obtain the medical information acquisition request. Corresponding target medical information.
  • data processing method corresponding to each information type can be set in the server in advance.
  • These data processing methods can exist in the form of specific processing models.
  • the method for acquiring medical information may further include: acquiring a digital signature corresponding to the medical information acquisition request, and using the medical information Obtain the requester's public key to decrypt the digital signature to obtain the first digest information; use the requester's private key to decrypt the ciphertext corresponding to the medical information acquisition request to obtain the original text; hash the original text to obtain the second digest Information; determine whether the first summary information is consistent with the second summary information; if the first summary information is consistent with the second summary information, determine that the requestor has the request authority corresponding to the identity of the requester, and perform reading from the blockchain and The step of obtaining the original diagnosis and treatment data related to the medical information request; or, if the first summary information is inconsistent with the second summary information, it is determined that the requester does not have request authority corresponding to the identity of the requester, and a prompt indicating that the requester does not have request authority is output information.
  • the server after receiving a medical information acquisition request, the server first verifies the authority of the requester, and when the requester has the corresponding request authority, responds to the requester's medical information acquisition request and performs subsequent processing, otherwise, When the requester does not have the corresponding request authority, the medical information acquisition request of the requester is not responded to and subsequently processed.
  • the server may generate a prompt message and return it to the client.
  • the prompt message may indicate that the requestor does not have the corresponding request authority to inform the requester that the request is not Get the reason for processing.
  • the information type is statistical type; according to the information type, the original diagnosis and treatment data is processed corresponding to the information type to obtain the target medical information corresponding to the medical information acquisition request, which may include: Statistical model; input original diagnosis and treatment data into the designated statistical model; obtain output information of the designated statistical model as the target medical information corresponding to the medical information acquisition request.
  • the statistical model refers to a model that performs statistical calculations on specified data and outputs statistical results.
  • the algorithm used by the statistical model is a statistical algorithm.
  • a statistical algorithm can be a conditional accumulation.
  • the specified statistical model is an accumulation calculation of data in each specified time period.
  • the medical information acquisition request is to obtain the number of persons who have disease x in each month in area A in 2010, the designated statistical model is retrieved, and the record information of the disease x in each month in area A in 2010 is input into the specified statistical model.
  • the specified statistical model selects the record information of disease x in each month, and performs accumulation calculation to obtain the occurrence of disease x in each month in 2010. Taking January as an example, the specified statistical model first selects the record information of disease x corresponding to January 2010 from the input data, and then adds up the number of diseases x recorded in each record information to obtain the January 2010 The total number of people who developed disease x. See Table 1 for the results of the specified statistical model.
  • the specified statistical model is preset in the server.
  • the output information of the specified statistical model can be text, graphics or tables.
  • the medical information acquisition request is to obtain the statistical information of influenza in the region from January to March in a certain year
  • you can follow the specified statistical model Processed into text statistical results output, or processed into statistical chart form output.
  • the information type is a prediction type; according to the information type, the original diagnosis and treatment data is processed corresponding to the information type to obtain the target medical information corresponding to the medical information acquisition request, which may include: Prediction model; inputting original diagnosis and treatment data into a designated prediction model; obtaining output information of the designated prediction model as target medical information corresponding to a medical information acquisition request.
  • the prediction model refers to a model that analyzes change trends and outputs change trend information based on specified data.
  • the algorithm used by the prediction model is a prediction algorithm.
  • the specified prediction model can be statistical information by month, and then compare the data of each month with the data of the previous month to get the increasing or decreasing trend, and then according to the data changing trend of each month relative to its previous month, get Data trends throughout the year.
  • the designated prediction model When the medical information acquisition request is to obtain the change trend of the number of people with disease x in area A in 2010, the designated prediction model is retrieved, and the record information of disease x in each month of area A in 2010 is input into the designated prediction model.
  • the prediction model counts the recorded information of disease x by month, and obtains the statistical results shown in Table 1. Then compare each month in Table 1 with the data of the previous month to get the corresponding increase or decrease trend of the month. Take February in Table 1 as an example.
  • the number of people with disease x in February was 135, and the number of people with disease x in January was 211. Since 135 ⁇ 211, the corresponding data change trend in February is decreasing. Based on this, the data trends for each month of 2010 are shown in Table 2.
  • the designated prediction model is preset in the server.
  • the output of the specified prediction model can be text, or a graph or table.
  • a specified prediction model can be used. Processed as text prediction results output, or processed as trend curves, charts and other forms of output.
  • FIG. 2 is a second exemplary flowchart of a method for acquiring medical information according to an embodiment of the present application.
  • the method for acquiring medical information is executed on a server.
  • the method may include the following steps:
  • S203 Receive a medical information acquisition request from a client, and the medical information acquisition request includes an information type.
  • S204 Read the original diagnosis and treatment data related to the medical information acquisition request from the blockchain.
  • the blockchain is used to store historical diagnosis and treatment data of all hospitals in the specified area.
  • S205 According to the information type, perform processing corresponding to the information type on the original diagnosis and treatment data to obtain target medical information corresponding to the medical information acquisition request.
  • storing the acquired historical diagnosis and treatment data in the blockchain may include: packing the acquired historical diagnosis and treatment data into a specified block; and sending the specified block to all storage nodes of the blockchain so that the storage node will The specified block is added to the blockchain.
  • the method for obtaining historical diagnosis and treatment data of each hospital in the specified area may be: the server sends a data upload request to the hospital server of each hospital in the specified area, and the hospital server of each hospital responds to the upload request to send the corresponding historical diagnosis and treatment of the hospital.
  • the data is uploaded to the server.
  • the method for obtaining historical diagnosis and treatment data of each hospital in the specified area may be: the server of each hospital in the specified area periodically and actively uploads the corresponding historical diagnosis and treatment data of the hospital to the server. For example, when the upload period is up, the hospital server uploads all the diagnosis and treatment data generated from the last upload to the present to the server.
  • the method for obtaining medical information may further include: in response to obtaining historical diagnosis and treatment data of the hospital in the specified area, counting the data amount of the historical diagnosis and treatment data of the hospital acquired this time; according to the data amount, Determine the credibility of the hospital this time.
  • the method for obtaining medical information may further include: determining the current total credibility of the hospital based on the existing credibility points and credibility reward points of the hospital.
  • the hospital's existing credibility points are the cumulative sum of the trust award points previously obtained by the hospital.
  • the total credibility of a hospital can be regarded as an important aspect of considering the credibility of the hospital. According to the total credibility of the hospital, the public can know the credibility of the hospital and provide a reference for the selection of the hospital.
  • the hospital's credibility points are rewarded according to the amount of data, which can encourage the hospital to provide data to the server, thereby enriching the server's data and better supporting the data-based Various processing functions and further improve the reliability of processing results.
  • the method for acquiring medical information may further include: acquiring historical medical resource data of each hospital in a specified area; and storing the acquired historical medical resource data in a blockchain.
  • historical medical resource data can include medical supplies usage and medical supplies inventory.
  • the medical supplies may be drugs, medical equipment (such as B-ultrasound equipment, etc.), medical articles (such as medical gauze, bandages), and the like.
  • the server stores historical medical resource data of each hospital in the specified area, and can timely grasp the inventory allocation and usage of medical resources in the local area, so as to provide accurate and convenient provisioning or purchasing accuracy when there is a need for medical resource deployment or procurement.
  • the data is not limited to, but not limited to, but not limited to, but not limited to, but not limited to, but not limited to, but not limited to, but not limited to, but not limited to, but not limited to, but not limited to the medical resource.
  • the method for obtaining medical information may further include: sending a medical resource data upload instruction to a server of each hospital in the designated area, and the medical resource data upload instruction is used to instruct uploading the current medical resource data of the hospital; receiving The server responds to the current medical resource data returned by the medical resource data upload instruction.
  • the server can actively request the servers of various hospitals in the local area to upload medical resource data in real time in order to grasp the latest data of medical resources in the local area and provide assistance for emergency situations.
  • the amount of medical resources allocated or purchased and allocated can be formulated based on the latest data of medical resources in the local area.
  • the method for acquiring medical information includes receiving a medical information acquisition request from a client, and reading original diagnosis and treatment data related to the medical information acquisition request from a blockchain.
  • the diagnosis and treatment data is processed corresponding to the information type to obtain the target medical information corresponding to the medical information acquisition request, and the target medical information is returned to the client.
  • the blockchain is used to store the historical diagnosis and treatment data of all hospitals in an area to obtain the Regional medical information is convenient, fast, and takes a short time to be efficient.
  • the data in the blockchain cannot be tampered with, the data in the blockchain has high credibility, thereby ensuring that the obtained information has high reliability.
  • the embodiment of the present application provides a medical information acquisition system.
  • the medical information acquisition system is configured to execute the medical information acquisition method in the foregoing first embodiment.
  • the medical information acquisition system is configured on a server.
  • FIG. 3 is a structural block diagram of a medical information acquisition system according to an embodiment of the present application.
  • the medical information acquisition system is configured on a server.
  • the system includes:
  • the request receiving module 310 is configured to receive a medical information acquisition request from a client, and the medical information acquisition request includes an information type.
  • the data reading module 320 is used to read the original diagnosis and treatment data related to the medical information acquisition request from the blockchain.
  • the blockchain is used to store the historical diagnosis and treatment data of all hospitals in the specified area.
  • the data processing module 330 is configured to perform processing corresponding to the information type on the original diagnosis and treatment data according to the information type to obtain target medical information corresponding to the medical information acquisition request.
  • An information returning module 340 is configured to return the target medical information to the client.
  • the medical information acquisition system may further include: a permission judgment module, configured to determine whether the requester of the medical information acquisition request has the corresponding request authority; if the requester of the medical information acquisition request has the corresponding request authority Request permission to allow the data reading module 320 to perform the steps of reading the original diagnosis and treatment data related to the medical information acquisition request from the blockchain; or if the requester of the medical information acquisition request does not have the corresponding request authority, it is prohibited
  • the data reading module 320 performs the steps of reading the original diagnosis and treatment data related to the medical information acquisition request from the blockchain.
  • the medical information acquisition system may further include:
  • a signature acquisition module configured to acquire a digital signature corresponding to the medical information acquisition request, and decrypt the digital signature by using the public key of the requester of the medical information acquisition request to obtain first digest information
  • a decryption module configured to decrypt the ciphertext corresponding to the medical information acquisition request with the requester's private key to obtain the original text
  • An operation module configured to perform a hash operation on the original text to obtain second abstract information
  • a digest information judgment module configured to judge whether the first digest information is consistent with the second digest information
  • a permission determining module is configured to determine that the requester has the request authority corresponding to the identity of the requester if the first summary information is consistent with the second summary information, and execute reading the original diagnosis and treatment data related to the medical information acquisition request from the blockchain Or if the first summary information is inconsistent with the second summary information, it is determined that the requester does not have the request authority corresponding to the identity of the requester, and a prompt message that the requester does not have the request authority is output.
  • the medical information acquisition system may further include: a first acquisition module for acquiring historical diagnosis and treatment data of each hospital in the specified area; and a first storage module for storing the acquired historical diagnosis and treatment data Into the blockchain.
  • the first storage module when the first storage module is used to store the acquired historical diagnosis and treatment data in the blockchain, the first storage module is specifically configured to: package the acquired historical diagnosis and treatment data into a specified block, and send the All storage nodes of the blockchain send the specified block so that the storage node adds the specified block to the blockchain.
  • the medical information acquisition system may further include: a data volume statistics module, configured to respond to each time the historical diagnosis and treatment data of the hospital in the specified area is acquired, and the historical diagnosis and treatment of the hospital acquired this time is counted.
  • the data amount of the data; the reward point determination module is used to determine the credibility reward points obtained by the hospital this time according to the data amount.
  • the medical information acquisition system may further include: a total points determination module, configured to determine the current total credibility points of the hospital according to the existing credibility points and credibility award points of the hospital.
  • the information type is a statistical type
  • the data processing module 330 is configured to perform processing corresponding to the information type on the original diagnosis and treatment data according to the information type to obtain target medical information corresponding to the medical information acquisition request It can be specifically used to: retrieve the specified statistical model; input the original diagnosis and treatment data into the specified statistical model; obtain the output information of the specified statistical model as the target medical information corresponding to the medical information acquisition request.
  • the information type is a prediction type
  • the data processing module 330 is configured to perform processing corresponding to the information type on the original diagnosis and treatment data according to the information type to obtain target medical information corresponding to the medical information acquisition request
  • it can be specifically used to: retrieve the specified prediction model; input the original diagnosis and treatment data into the specified prediction model; obtain the output information of the specified prediction model as the target medical information corresponding to the medical information acquisition request.
  • the medical information acquisition system may further include: a second acquisition module for acquiring historical medical resource data of each hospital in the specified area; and a second storage module for storing the acquired historical medical resource data Into the blockchain.
  • historical medical resource data includes medical supplies usage and medical supplies inventory.
  • the medical information acquisition system may further include: an upload instruction sending module, configured to send a medical resource data upload instruction to a server of each hospital in the designated area, and the medical resource data upload instruction is used to instruct the hospital to be uploaded Current medical resource data; a data receiving module for receiving the current medical resource data returned by the server in response to the medical resource data upload instruction.
  • an upload instruction sending module configured to send a medical resource data upload instruction to a server of each hospital in the designated area, and the medical resource data upload instruction is used to instruct the hospital to be uploaded Current medical resource data
  • a data receiving module for receiving the current medical resource data returned by the server in response to the medical resource data upload instruction.
  • the medical information acquisition system of this embodiment is used to perform the medical information acquisition method of the foregoing first embodiment, for the places in this embodiment that are not described in detail for the medical information acquisition system, please refer to the medical information of the foregoing first embodiment Explanation of the corresponding part of the acquisition method.
  • the medical information acquisition system receives the medical information acquisition request from the client, reads the original diagnosis and treatment data related to the medical information acquisition request from the blockchain, and according to the information type of the medical information acquisition request, The diagnosis and treatment data is processed corresponding to the information type to obtain the target medical information corresponding to the medical information acquisition request, and the target medical information is returned to the client.
  • the blockchain is used to store the historical diagnosis and treatment data of all hospitals in an area to obtain the Regional medical information is convenient, fast, and takes a short time to be efficient.
  • the data in the blockchain cannot be tampered with, the data in the blockchain has high credibility, thereby ensuring that the obtained information has high reliability.
  • An embodiment of the present application provides a server.
  • the server includes a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the computer program, the server implements any one of the foregoing embodiments. Steps of the method for acquiring medical information.
  • FIG. 4 is a simplified block diagram of a server provided by an embodiment of the present application.
  • the server 400 may include a processor 401 connected to one or more data storage tools, and the data storage tool may include a storage medium 406 and a memory unit 404.
  • the server 400 may further include an input interface 405 and an output interface 407 for communicating with another device or system.
  • the program code executed by the CPU of the processor 401 may be stored in the memory unit 404 or the storage medium 406.
  • the processor 401 in the server 400 calls the program code stored in the memory unit 404 or the storage medium 406, and performs the following steps:
  • the blockchain is used to store the historical diagnosis and treatment data of all hospitals in the specified area;
  • the original diagnosis and treatment data is processed corresponding to the information type to obtain the target medical information corresponding to the medical information acquisition request;
  • the processor 401 may be further configured as:
  • first summary information is consistent with the second summary information, determine that the requester has request authority corresponding to the identity of the requester, and execute the step of reading the original diagnosis and treatment data related to the medical information acquisition request from the blockchain; or, if The first summary information is inconsistent with the second summary information, it is determined that the requester does not have request authority corresponding to the identity of the requester, and a prompt message that the requester does not have request authority is output.
  • the processor 401 may be further configured as:
  • the processor 401 may be further configured as:
  • the processor 401 may be further configured as:
  • the current total credibility points of the hospital are determined.
  • the information type is a statistical type; when the processor 401 performs processing corresponding to the information type on the original diagnosis and treatment data according to the information type, and obtains the target medical information corresponding to the medical information acquisition request, it may Is configured as:
  • the information type is a prediction type; when the processor 401 performs processing corresponding to the information type on the original diagnosis and treatment data according to the information type, and obtains the target medical information corresponding to the medical information acquisition request, it may Is configured as:
  • the processor 401 may be further configured as:
  • the medical resource data upload instruction is used to instruct uploading the current medical resource data of the hospital;
  • An embodiment of the present application provides a computer non-volatile readable storage medium.
  • the computer non-volatile readable storage medium stores a computer program.
  • the computer program is executed by a processor, the following steps are implemented:
  • the blockchain is used to store the historical diagnosis and treatment data of all hospitals in the specified area;
  • the original diagnosis and treatment data is processed corresponding to the information type to obtain the target medical information corresponding to the medical information acquisition request;
  • first summary information is consistent with the second summary information, determine that the requester has request authority corresponding to the identity of the requester, and execute the step of reading the original diagnosis and treatment data related to the medical information acquisition request from the blockchain; or, if The first summary information is inconsistent with the second summary information, it is determined that the requester does not have request authority corresponding to the identity of the requester, and a prompt message that the requester does not have request authority is output.
  • the following steps may be implemented: obtaining historical diagnosis and treatment data of each hospital in the specified area; packaging and storing the obtained historical diagnosis and treatment data into a specified block; All storage nodes of the chain send the specified block so that the storage node adds the specified block to the blockchain.
  • the following steps may be implemented: in response to obtaining historical diagnosis and treatment data of the hospital in the specified area, counting the data amount of the historical diagnosis and treatment data of the hospital acquired this time; Based on the amount of data, determine the credibility reward points that the hospital has received this time.
  • the following steps may be implemented: determining the current total credibility of the hospital based on the existing credibility of the hospital and the credibility reward points.
  • the information type is statistical type; when the computer program is executed by the processor, the following steps may be implemented: calling the specified statistical model; inputting the original diagnosis and treatment data into the specified statistical model; obtaining the output information of the specified statistical model As the target medical information corresponding to the medical information acquisition request.
  • the information type is prediction type; when the computer program is executed by the processor, the following steps may be implemented: calling the specified prediction model; inputting the original diagnosis and treatment data into the specified prediction model; obtaining the output information of the specified prediction model As the target medical information corresponding to the medical information acquisition request.
  • the following steps may also be implemented: sending a medical resource data upload instruction to the hospital server of each hospital in the designated area, and the medical resource data upload instruction is used to indicate the current uploading hospital Medical resource data; receiving the current medical resource data returned by the hospital server in response to the medical resource data upload instruction.

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Abstract

本申请实施例提供了一种医疗信息的获取方法、系统及服务器。本申请实施例通过接收客户端的医疗信息获取请求，从区块链中读取与医疗信息获取请求相关的原始诊疗数据，根据医疗信息获取请求的信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息，将目标医疗信息返回给客户端，利用存储一个地区内所有医院的历史诊疗数据的区块链来获取该地区的医疗信息，方便快捷，用时很短，因此效率高。并且，由于区块链中的数据无法篡改，因此区块链中的数据可信度高，从而保证了获得的信息具有较高的可靠性，一定程度上解决了现有技术中的获取一个地区内的医疗信息效率低以及获得的信息可靠性差的问题。

Description

医疗信息的获取方法、系统及服务器
本申请要求于2018年6月28日提交中国专利局、申请号为201810690321.7、发明名称为“医疗信息的获取方法、系统及服务器”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信技术领域，尤其涉及一种医疗信息的获取方法、系统及服务器。
背景技术
医院是社会中重要的机构之一。当前的医院内部已经实现了信息化管理，就诊流程中的各项数据都可以通过终端输入到医院的数据库中存储。各医院中，也具有专门供存储本院数据的数据库以及支撑数据库的服务器等硬件资源。
在当前的大数据时代，利用一个地区内所有医院的医疗信息，可以对例如传染性疾病发展趋势预测、医疗物资的调度等提供准确的参考依据。然而，要实现这些大数据的功能，首先需要将一个地区内所有医院的医疗信息集中起来。
目前，一个地区内的各个医院各自管理自己的医疗数据，比如就诊数据、医疗资源数据等等。如果要获取一个地区内的医疗信息，需要从该地区各个医院分别获取医疗数据，这样就需要耗费大量的时间，效率很低。而且，由于各个医院自己管理自己的数据，无法禁止医院私自篡改数据的情形，从而导致获得的信息可靠性差。
申请内容
本申请实施例提供了一种医疗信息的获取方法、系统及服务器，用以解决现有技术中获取一个地区内的医疗信息需要耗费大量的时间，效率很低，并且由于存在数据被篡改的可能导致获得的信息可靠性差的问题。
第一方面，本申请实施例提供一种医疗信息的获取方法，所述方法包括：
接收客户端的医疗信息获取请求，所述医疗信息获取请求中包括信息类型；
从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据， 所述区块链用于存储指定地区内所有医院的历史诊疗数据；
根据所述信息类型，对所述原始诊疗数据进行与所述信息类型相对应的处理，得到与所述医疗信息获取请求对应的目标医疗信息；
将所述目标医疗信息返回给所述客户端。
第二方面，本申请实施例提供一种医疗信息的获取系统，配置于区块链平台上，所述系统包括：
请求接收模块，用于接收客户端的医疗信息获取请求，所述医疗信息获取请求中包括信息类型；
数据读取模块，用于从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据，所述区块链用于存储指定地区内所有医院的历史诊疗数据；
数据处理模块，用于根据所述信息类型，对所述原始诊疗数据进行与所述信息类型相对应的处理，得到与所述医疗信息获取请求对应的目标医疗信息；
信息返回模块，用于将所述目标医疗信息返回给所述客户端。
第三方面，本申请实施例提供一种服务器，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如下步骤：
接收客户端的医疗信息获取请求，所述医疗信息获取请求中包括信息类型；
从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据，所述区块链用于存储指定地区内所有医院的历史诊疗数据；
根据所述信息类型，对所述原始诊疗数据进行与所述信息类型相对应的处理，得到与所述医疗信息获取请求对应的目标医疗信息；
将所述目标医疗信息返回给所述客户端。
第四方面，本申请实施例提供一种计算机非易失性可读存储介质，所述计算机非易失性可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现如下步骤：接收客户端的医疗信息获取请求，所述医疗信息获取请求中包括信息类型；
从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据，所述区块链用于存储指定地区内所有医院的历史诊疗数据；
根据所述信息类型，对所述原始诊疗数据进行与所述信息类型相对应的处理，得到与所述医疗信息获取请求对应的目标医疗信息；
将所述目标医疗信息返回给所述客户端。
本申请实施例具有以下有益效果：
本申请实施例，通过接收客户端的医疗信息获取请求，从区块链中读取与医疗信息获取请求相关的原始诊疗数据，根据医疗信息获取请求的信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息，将目标医疗信息返回给客户端，利用存储一个地区内所有医院的历史诊疗数据的区块链来获取该地区的医疗信息，方便快捷，用时很短，因此效率高。并且，由于区块链中的数据无法篡改，因此区块链中的数据可信度高，从而保证了获得的信息具有较高的可靠性。
附图说明
图1为本申请实施例提供的医疗信息的获取方法的第一流程示例图。
图2为本申请实施例提供的医疗信息的获取方法的第二流程示例图。
图3为本申请实施例提供的医疗信息的获取系统的结构框图。
图4是本申请实施例提供的服务器的简化框图。
具体实施方式
为了更好的理解本申请的技术方案，下面结合附图对本申请实施例进行详细描述。
实施例一
本申请实施例提供一种医疗信息的获取方法。本申请实施例提供的医疗信息的获取方法执行在与客户端对应的服务器上。
图1为本申请实施例提供的医疗信息的获取方法的第一流程示例图。本实施例中，医疗信息的获取方法执行在与客户端对应的服务器上，如图1所示，该方法可以包括以下步骤：
S101，接收客户端的医疗信息获取请求，医疗信息获取请求中包括信息类型。
S102，从区块链中读取与医疗信息获取请求相关的原始诊疗数据，区块链用于存储指定地区内所有医院的历史诊疗数据。
S103，根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息。
S104，将目标医疗信息返回给客户端。
其中，客户端可以为计算机、平板电脑、手机等等。
其中，信息类型可以由服务器根据自身能够提供的数据服务预 先设定。例如，如果自身能够对原始数据进行统计处理，信息类型可以包括统计类型；如果自身能够根据原始数据进行预测信息类型可以包括预测类型，等等。
需要说明的是，在具体应用时，服务器可以根据具体的情况来设置医疗信息获取请求的信息类型。
其中，指定地区的范围可以根据实际需要来确定。例如，指定地区的范围可以是一个省的范围，也可以是多个省的范围，比如长三角地区、珠三角地区、东北地区等等。
其中，历史诊疗数据可以包括就诊者的诊疗类别、年龄、诊疗日期等等。
其中，在从区块链中读取与医疗信息获取请求相关的原始诊疗数据的过程时，可以先根据医疗信息获取请求的具体内容，确定读取的数据的索引信息，然后根据该索引信息从区块链中读取相应数据。例如，索引信息可以是关键字、编号等等。
由步骤S102可知，与医疗信息获取请求相关的原始诊疗数据来自于区块链，而区块链存储了指定地区内所有医院的历史诊疗数据，这样的好处是：一方面，从区块链就可以直接读取到指定地区内所有医院的历史诊疗数据，不需要从指定地区内各个医院分别获取数据，这样就大大减少了获取数据所用的时间，用时短，因此可以提高效率，并且获取数据由从多个地方分别获取改为从一个地方获取，减少了获取操作的次数，更加方便和快捷；另一方面，由于区块链本身具有数据无法篡改的特性，因此，指定地区内所有医院的历史诊疗数据存储到区块链中后，各个医院无法对已经存储到区块链中的数据进行篡改，这样就大大提高了数据的安全性，使得区块链中的数据可信度很高，从而保证了从区块链获得的信息具有较高的可靠性。
医疗信息获取请求的信息类型不同，对应的数据处理方式也不同，因此，需要根据信息类型对从区块链读取的原始诊疗数据进行与信息类型相对应的处理，以便得到与医疗信息获取请求对应的目标医疗信息。
需要说明的是，服务器中可以预先设置每种信息类型所对应的数据处理方式。这些数据处理方式可以以具体处理模型的形式存在。
在一个示例性的实现过程中，从区块链中读取与医疗信息获取请求相关的原始诊疗数据之前，医疗信息的获取方法还可以包括：获取医疗信息获取请求对应的数字签名，并用医疗信息获取请求的 请求者的公钥解密所述数字签名，得到第一摘要信息；用请求者的私钥解密医疗信息获取请求对应的密文，得到原文；对原文进行哈希运算，得到第二摘要信息；判断第一摘要信息与第二摘要信息是否一致；若第一摘要信息与第二摘要信息一致，确定请求者具有与请求者的身份相应的请求权限，执行从区块链中读取与医疗信息获取请求相关的原始诊疗数据的步骤；或者，若第一摘要信息与第二摘要信息不一致，确定请求者不具有与请求者的身份相应的请求权限，输出请求者不具有请求权限的提示信息。
本示例中，在接收到医疗信息获取请求之后，服务器先对请求者的权限进行验证，当请求者具备相应的请求权限时，响应该请求者的医疗信息获取请求，进行后续的处理，否则，当请求者不具备相应的请求权限时，不对该请求者的医疗信息获取请求进行响应和后续处理。
其中，若医疗信息获取请求的请求者不具有相应的请求权限，服务器可以生成提示信息返回给客户端，其中，提示信息中可以指明请求者不具有相应的请求权限，以告知请求者其请求未得到处理的原因。
在一个示例性的实现过程中，信息类型为统计类型；根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息，可以包括：调取指定统计模型；将原始诊疗数据输入指定统计模型；获取指定统计模型的输出信息，作为与医疗信息获取请求对应的目标医疗信息。
其中，统计模型是指对指定数据进行统计计算、输出统计结果的模型。统计模型所使用的算法为统计算法。例如，统计算法可以是按条件累加。
假设指定统计模型是对各指定时间段内的数据进行累加计算。当医疗信息获取请求是获取地区A在2010年各个月份中的发生疾病x的人数时，调取该指定统计模型，将地区A在2010年各个月份的疾病x的记录信息输入该指定统计模型，指定统计模型分别选择各个月份的疾病x的记录信息，进行累加计算，得到2010年各个月份的疾病x的发生情况。以1月份为例，指定统计模型首先从输入数据中筛选出2010年1月份对应的疾病x的记录信息，然后对每条记录信息中记录的疾病x的人数进行累加，得到2010年1月份的发生疾病x的总人数。指定统计模型输出的结果请参见表1。
表1地区A在2010年各月发生疾病x的人数统计表
月份 发生疾病x的人数
1 211
2 135
…… ……
12 101
其中，指定统计模型是服务器中预先设置好的。指定统计模型的输出信息可以是文本，也可以是图形或表格。
例如，医疗信息获取请求为获取某年1～3月该地区的流行性感冒的统计信息时，从区块链中读取某年1～3月的流行性感冒数据后，可以按照指定统计模型，处理成文本统计结果输出，或者处理成统计图表形式输出。
在一个示例性的实现过程中，信息类型为预测类型；根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息，可以包括：调取指定预测模型；将原始诊疗数据输入指定预测模型；获取指定预测模型的输出信息，作为与医疗信息获取请求对应的目标医疗信息。
其中，预测模型是指根据指定数据，分析变化趋势、输出变化趋势信息的模型。预测模型所使用的算法为预测算法。
假设指定预测模型可以是按月份统计信息，然后对每一月份与其上一月份的数据进行比较，得到增加或减少的变化趋势，再根据每一月份相对于其上一月份的数据变化趋势，得到全年的数据变化趋势。
当医疗信息获取请求是获取地区A在2010的发生疾病x的人数的变化趋势时，调取该指定预测模型，将地区A在2010年各个月份的疾病x的记录信息输入该指定预测模型，指定预测模型将疾病x的记录信息按照月份进行统计，得到表1所示的统计结果。然后对表1中每一月份与其上一月份的数据进行比较，得到该月份对应的增加或减少的变化趋势。以表1中的2月份为例。2月份发生疾病x的人数是135，1月份发生疾病x的人数是211，由于135＜211，因此2月份对应的数据变化趋势是减少。据此，得到2010年各个月份的数据变化趋势如表2所示。
表2中，1月份的数据仅作为2月份数据的比较对象，没有变化趋势数据。
根据表2，如果2～12这11个月份中，变化趋势为“减少”的 月份数目占总月份数目的比重超过50％，则确定地区A在2010的发生疾病x的人数的总体变化趋势为“减少”。
其中，指定预测模型是服务器中预先设置好的。指定预测模型的输出信息可以是文本，也可以是图形或表格。
表2地区A在2010年各月发生疾病x的人数的变化趋势表
Figure PCTCN2018111383-appb-000001
例如，医疗信息获取请求为获取某年5月份该地区的流行性感冒的预测趋势信息时，从区块链中读取某年1～4月的流行性感冒数据后，可以按照指定预测模型，处理成文本预测结果输出，或者处理成趋势曲线、图表等形式输出。
图2为本申请实施例提供的医疗信息的获取方法的第二流程示例图。本实施例中，医疗信息的获取方法执行在服务器上，如图2所示，该方法可以包括以下步骤：
S201，获取指定地区内各个医院的历史诊疗数据。
S202，将获取的历史诊疗数据存储到区块链中。
S203，接收客户端的医疗信息获取请求，医疗信息获取请求中包括信息类型。
S204，从区块链中读取与医疗信息获取请求相关的原始诊疗数据，区块链用于存储指定地区内所有医院的历史诊疗数据。
S205，根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息。
S206，将目标医疗信息返回给客户端。
其中，将获取的历史诊疗数据存储到区块链中，可以包括：将获取的历史诊疗数据打包存储到指定区块中；向区块链的所有存储节点发送指定区块，以使存储节点将指定区块添加到区块链中。
其中，获取指定地区内各个医院的历史诊疗数据的方式可以是：服务器向指定地区内各个医院的医院服务器分别发送数据上传请求，各个医院的医院服务器响应于上传请求，将本医院相应的历史诊疗数据上传给服务器。
其中，获取指定地区内各个医院的历史诊疗数据的方式可以是：指定地区内各个医院的服务器定期主动地将本医院相应的历史诊疗数据上传给服务器。例如，当上传周期到时，医院服务器将上次上传时起至当前为止产生的所有诊疗数据上传给服务器。
当然，上述仅为列举的获取指定地区内各个医院的历史诊疗数据的方式的示例，本申请不对取指定地区内各个医院的历史诊疗数据的具体方式进行限定。
在一个示例性的实现过程中，医疗信息的获取方法还可以包括：响应于获取到指定地区内医院的历史诊疗数据，统计本次获取的该医院的历史诊疗数据的数据量；根据数据量，确定该医院本次得到的公信力奖励积分。
进一步地，在上述基础上，在一个示例性的实现过程中，医疗信息的获取方法还可以包括：根据该医院的已有公信力积分和公信力奖励积分，确定该医院目前的公信力总积分。
其中，医院的已有公信力积分为医院以前获得的信力奖励积分的累加和。
医院的公信力总积分可以看作是考量医院信誉的一个重要方面，公众根据医院的公信力总积分，可以获知该医院的信誉情况，从而为选择医院提供参考。
这样，医院的公信力总积分越高，医院的信誉将越好，在用户就诊时，医院被选择的概率就越大。
上述示例中，在获取到医院的历史诊疗数据时，根据数据量对医院进行公信力积分的奖励，可以鼓励医院向服务器提供数据，从而使服务器的数据更加丰富，以更好地支撑以数据为基础的各项处理功能，并进一步提高处理结果的可靠性。
在一个示例性的实现过程中，医疗信息的获取方法还可以包括：获取指定地区内各个医院的历史医疗资源数据；将获取的历史医疗资源数据存储到区块链中。
其中，历史医疗资源数据可以包括医疗用品使用量和医疗用品库存量。
其中，医疗用品可以是药品、医用器械(比如B超检查设备等)、医用物品(比如医用纱布、绷带)等。
服务器存储指定地区内各个医院的历史医疗资源数据，可以及时掌握本地区内医疗资源的库存分配、使用情况，以在有医疗资源的调配或采购需求时，更方便快捷地为调配或采购提供准确的数据。
在一个示例性的实现过程中，医疗信息的获取方法还可以包括：向指定地区内各个医院的服务器发送医疗资源数据上传指令，医疗资源数据上传指令用于指示上传医院的当前医疗资源数据；接收服务器响应于医疗资源数据上传指令返回的当前医疗资源数据。
在遇到紧急情况时，服务器可以主动要求本地区内各个医院的服务器实时上传医疗资源数据，以便掌握本地区内医疗资源的最新数据，为应对紧急情况提供帮助。
例如，假设某地区发生传染性疫情，相应的医疗资源不够应对本地区疫情时，可以根据本地区内医疗资源的最新数据，制定调拨或采购以及分配的医疗资源数量。
本申请实施例提供的医疗信息的获取方法，通过接收客户端的医疗信息获取请求，从区块链中读取与医疗信息获取请求相关的原始诊疗数据，根据医疗信息获取请求的信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息，将目标医疗信息返回给客户端，利用存储一个地区内所有医院的历史诊疗数据的区块链来获取该地区的医疗信息，方便快捷，用时很短，因此效率高。并且，由于区块链中的数据无法篡改，因此区块链中的数据可信度高，从而保证了获得的信息具有较高的可靠性。
实施例二
本申请实施例提供一种医疗信息的获取系统，该医疗信息的获取系统用于执行前述实施例一中的医疗信息的获取方法，该医疗信息的获取系统配置于服务器上。
图3为本申请实施例提供的医疗信息的获取系统的结构框图。本实施例中，医疗信息的获取系统配置于服务器上，如图3所示，该系统包括：
请求接收模块310，用于接收客户端的医疗信息获取请求，医疗信息获取请求中包括信息类型。
数据读取模块320，用于从区块链中读取与医疗信息获取请求相关的原始诊疗数据，区块链用于存储指定地区内所有医院的历史诊疗数据。
数据处理模块330，用于根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息。
信息返回模块340，用于将目标医疗信息返回给客户端。
在一个示例性的实现过程中，医疗信息的获取系统还可以包括：权限判断模块，用于判断医疗信息获取请求的请求者是否具有相应的请求权限；若医疗信息获取请求的请求者具有相应的请求权限，允许数据读取模块320执行从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据的步骤；或者，若医疗信息获取请求的请求者不具有相应的请求权限，禁止数据读取模块320执行从区块链中读取与医疗信息获取请求相关的原始诊疗数据的步骤。
其中，医疗信息的获取系统还可以包括：
签名获取模块，用于获取医疗信息获取请求对应的数字签名，并用医疗信息获取请求的请求者的公钥解密所述数字签名，得到第一摘要信息；
解密模块，用于用请求者的私钥解密医疗信息获取请求对应的密文，得到原文；
运算模块，用于对原文进行哈希运算，得到第二摘要信息；
摘要信息判断模块，用于判断第一摘要信息与第二摘要信息是否一致；
权限确定模块，用于若第一摘要信息与第二摘要信息一致，确定请求者具有与请求者的身份相应的请求权限，执行从区块链中读取与医疗信息获取请求相关的原始诊疗数据的步骤；或者，若第一摘要信息与第二摘要信息不一致，确定请求者不具有与请求者的身份相应的请求权限，输出请求者不具有请求权限的提示信息。
在一个示例性的实现过程中，医疗信息的获取系统还可以包括：第一获取模块，用于获取指定地区内各个医院的历史诊疗数据；第一存储模块，用于将获取的历史诊疗数据存储到区块链中。
其中，在一个示例性的实现过程中，第一存储模块在用于将获取的历史诊疗数据存储到区块链中时具体用于：将获取的历史诊疗数据打包存储到指定区块中，向区块链的所有存储节点发送指定区块，以使存储节点将指定区块添加到区块链中。
在一个示例性的实现过程中，医疗信息的获取系统还可以包括：数据量统计模块，用于响应于每次获取到指定地区内医院的历史诊疗数据，统计本次获取的该医院的历史诊疗数据的数据量；奖励积分确定模块，用于根据数据量，确定该医院本次得到的公信力奖励积分。
在一个示例性的实现过程中，医疗信息的获取系统还可以包括：总积分确定模块，用于根据该医院的已有公信力积分和公信力奖励 积分，确定该医院目前的公信力总积分。
在一个示例性的实现过程中，信息类型为统计类型；数据处理模块330在用于根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息时，可以具体用于：调取指定统计模型；将原始诊疗数据输入指定统计模型；获取指定统计模型的输出信息，作为与医疗信息获取请求对应的目标医疗信息。
在一个示例性的实现过程中，信息类型为预测类型；数据处理模块330在用于根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息时，可以具体用于：调取指定预测模型；将原始诊疗数据输入指定预测模型；获取指定预测模型的输出信息，作为与医疗信息获取请求对应的目标医疗信息。
在一个示例性的实现过程中，医疗信息的获取系统还可以包括：第二获取模块，用于获取指定地区内各个医院的历史医疗资源数据；第二存储模块，将获取的历史医疗资源数据存储到区块链中。
在一个示例性的实现过程中，历史医疗资源数据包括医疗用品使用量和医疗用品库存量。
在一个示例性的实现过程中，医疗信息的获取系统还可以包括：上传指令发送模块，用于向指定地区内各个医院的服务器发送医疗资源数据上传指令，医疗资源数据上传指令用于指示上传医院的当前医疗资源数据；数据接收模块，用于接收服务器响应于医疗资源数据上传指令返回的当前医疗资源数据。
由于本实施例的医疗信息的获取系统用于执行前述实施例一中的医疗信息的获取方法，本实施例中对于医疗信息的获取系统未详细描述的地方，请参见前述实施例一中医疗信息的获取方法相应部分的说明。
本申请实施例提供的医疗信息的获取系统，通过接收客户端的医疗信息获取请求，从区块链中读取与医疗信息获取请求相关的原始诊疗数据，根据医疗信息获取请求的信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息，将目标医疗信息返回给客户端，利用存储一个地区内所有医院的历史诊疗数据的区块链来获取该地区的医疗信息，方便快捷，用时很短，因此效率高。并且，由于区块链中的数据无法篡改，因此区块链中的数据可信度高，从而保证了获得的信息具有较 高的可靠性。
实施例三
本申请实施例提供了一种服务器，该服务器包括存储器、处理器以及存储在存储器中并可在处理器上运行的计算机程序，处理器执行该计算机程序时，实现如前述实施例一中任一种所述医疗信息的获取方法的步骤。
图4是本申请实施例提供的服务器的简化框图。请参见图4，该服务器400可以包括与一个或多个数据存储工具连接的处理器401，该数据存储工具可以包括存储介质406和内存单元404。服务器400还可以包括输入接口405和输出接口407，用于与另一装置或系统进行通信。被处理器401的CPU执行的程序代码可存储在内存单元404或存储介质406中。
服务器400中的处理器401调用存储在内存单元404或存储介质406的程序代码，执行下面各步骤：
接收客户端的医疗信息获取请求，医疗信息获取请求中包括信息类型；
从区块链中读取与医疗信息获取请求相关的原始诊疗数据，区块链用于存储指定地区内所有医院的历史诊疗数据；
根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息；
将目标医疗信息返回给客户端。
在一个示例性的实现过程中，处理器401还可以被配置为：
获取医疗信息获取请求对应的数字签名，并用医疗信息获取请求的请求者的公钥解密所述数字签名，得到第一摘要信息；
用请求者的私钥解密医疗信息获取请求对应的密文，得到原文；
对原文进行哈希运算，得到第二摘要信息；
判断第一摘要信息与第二摘要信息是否一致；
若第一摘要信息与第二摘要信息一致，确定请求者具有与请求者的身份相应的请求权限，执行从区块链中读取与医疗信息获取请求相关的原始诊疗数据的步骤；或者，若第一摘要信息与第二摘要信息不一致，确定请求者不具有与请求者的身份相应的请求权限，输出请求者不具有请求权限的提示信息。
在一个示例性的实现过程中，处理器401还可以被配置为：
获取指定地区内各个医院的历史诊疗数据；
将获取的历史诊疗数据打包存储到指定区块中；
向区块链的所有存储节点发送指定区块，以使存储节点将指定区块添加到区块链中。
在一个示例性的实现过程中，处理器401还可以被配置为：
响应于获取到指定地区内医院的历史诊疗数据，统计本次获取的该医院的历史诊疗数据的数据量；
根据数据量，确定该医院本次得到的公信力奖励积分。
在一个示例性的实现过程中，处理器401还可以被配置为：
根据该医院的已有公信力积分和所述公信力奖励积分，确定该医院目前的公信力总积分。
在一个示例性的实现过程中，信息类型为统计类型；处理器401在根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息时，可以被配置为：
调取指定统计模型；
将原始诊疗数据输入指定统计模型；
获取指定统计模型的输出信息，作为与医疗信息获取请求对应的目标医疗信息。
在一个示例性的实现过程中，信息类型为预测类型；处理器401在根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息时，可以被配置为：
调取指定预测模型；
将原始诊疗数据输入指定预测模型；
获取指定预测模型的输出信息，作为与医疗信息获取请求对应的目标医疗信息。
在一个示例性的实现过程中，处理器401还可以被配置为：
向指定地区内各个医院的医院服务器发送医疗资源数据上传指令，医疗资源数据上传指令用于指示上传医院的当前医疗资源数据；
接收医院服务器响应于医疗资源数据上传指令返回的当前医疗资源数据。
实施例四
本申请实施例提供一种计算机非易失性可读存储介质，该计算机非易失性可读存储介质存储有计算机程序，该计算机程序被处理器执行时实现如下步骤：
接收客户端的医疗信息获取请求，医疗信息获取请求中包括信息类型；
从区块链中读取与医疗信息获取请求相关的原始诊疗数据，区 块链用于存储指定地区内所有医院的历史诊疗数据；
根据信息类型，对原始诊疗数据进行与信息类型相对应的处理，得到与医疗信息获取请求对应的目标医疗信息；
将目标医疗信息返回给客户端。
在一个示例性的实现过程中，计算机程序被处理器执行时还可以实现如下步骤：
获取医疗信息获取请求对应的数字签名，并用医疗信息获取请求的请求者的公钥解密所述数字签名，得到第一摘要信息；
用请求者的私钥解密医疗信息获取请求对应的密文，得到原文；
对原文进行哈希运算，得到第二摘要信息；
判断第一摘要信息与第二摘要信息是否一致；
若第一摘要信息与第二摘要信息一致，确定请求者具有与请求者的身份相应的请求权限，执行从区块链中读取与医疗信息获取请求相关的原始诊疗数据的步骤；或者，若第一摘要信息与第二摘要信息不一致，确定请求者不具有与请求者的身份相应的请求权限，输出请求者不具有请求权限的提示信息。
在一个示例性的实现过程中，计算机程序被处理器执行时还可以实现如下步骤：获取指定地区内各个医院的历史诊疗数据；将获取的历史诊疗数据打包存储到指定区块中；向区块链的所有存储节点发送指定区块，以使存储节点将指定区块添加到区块链中。
在一个示例性的实现过程中，计算机程序被处理器执行时还可以实现如下步骤：响应于获取到指定地区内医院的历史诊疗数据，统计本次获取的该医院的历史诊疗数据的数据量；根据数据量，确定该医院本次得到的公信力奖励积分。
在一个示例性的实现过程中，计算机程序被处理器执行时还可以实现如下步骤：根据该医院的已有公信力积分和所述公信力奖励积分，确定该医院目前的公信力总积分。
在一个示例性的实现过程中，信息类型为统计类型；计算机程序被处理器执行时还可以实现如下步骤：调取指定统计模型；将原始诊疗数据输入指定统计模型；获取指定统计模型的输出信息，作为与医疗信息获取请求对应的目标医疗信息。
在一个示例性的实现过程中，信息类型为预测类型；计算机程序被处理器执行时还可以实现如下步骤：调取指定预测模型；将原始诊疗数据输入指定预测模型；获取指定预测模型的输出信息，作为与医疗信息获取请求对应的目标医疗信息。
在一个示例性的实现过程中，计算机程序被处理器执行时还可以实现如下步骤：向指定地区内各个医院的医院服务器发送医疗资源数据上传指令，医疗资源数据上传指令用于指示上传医院的当前医疗资源数据；接收医院服务器响应于医疗资源数据上传指令返回的当前医疗资源数据。
以上所述仅为本申请的较佳实施例而已，并不用以限制本申请，凡在本申请的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本申请保护的范围之内。

Claims (20)

  1. 一种医疗信息的获取方法，其特征在于，所述方法包括：
    接收客户端的医疗信息获取请求，所述医疗信息获取请求中包括信息类型；
    从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据，所述区块链用于存储指定地区内所有医院的历史诊疗数据；
    根据所述信息类型，对所述原始诊疗数据进行与所述信息类型相对应的处理，得到与所述医疗信息获取请求对应的目标医疗信息；
    将所述目标医疗信息返回给所述客户端。
  2. 根据权利要求1所述的方法，其特征在于，所述从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据之前，所述方法还包括：
    获取所述医疗信息获取请求对应的数字签名，并用所述医疗信息获取请求的请求者的公钥解密所述数字签名，得到第一摘要信息；
    用所述请求者的私钥解密所述医疗信息获取请求对应的密文，得到原文；
    对所述原文进行哈希运算，得到第二摘要信息；
    判断所述第一摘要信息与所述第二摘要信息是否一致；
    若所述第一摘要信息与所述第二摘要信息一致，确定所述请求者具有与所述请求者的身份相应的请求权限，执行所述从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据的步骤；或者，若所述第一摘要信息与所述第二摘要信息不一致，确定所述请求者不具有与所述请求者的身份相应的请求权限，输出所述请求者不具有请求权限的提示信息。
  3. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    获取所述指定地区内各个医院的历史诊疗数据；
    将获取的历史诊疗数据打包存储到指定区块中；
    向所述区块链的所有存储节点发送所述指定区块，以使所述存储节点将所述指定区块添加到所述区块链中。
  4. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    响应于获取到所述指定地区内医院的历史诊疗数据，统计本次获取的该医院的历史诊疗数据的数据量；
    根据所述数据量，确定该医院本次得到的公信力奖励积分。
  5. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    向所述指定地区内各个医院的医院服务器发送医疗资源数据上 传指令，所述医疗资源数据上传指令用于指示上传医院的当前医疗资源数据；
    接收所述医院服务器响应于所述医疗资源数据上传指令返回的当前医疗资源数据。
  6. 一种医疗信息的获取系统，其特征在于，所述系统包括：
    请求接收模块，用于接收客户端的医疗信息获取请求，所述医疗信息获取请求中包括信息类型；
    数据读取模块，用于从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据，所述区块链用于存储指定地区内所有医院的历史诊疗数据；
    数据处理模块，用于根据所述信息类型，对所述原始诊疗数据进行与所述信息类型相对应的处理，得到与所述医疗信息获取请求对应的目标医疗信息；
    信息返回模块，用于将所述目标医疗信息返回给所述客户端。
  7. 根据权利要求6所述的系统，其特征在于，所述系统还包括：
    签名获取模块，用于获取所述医疗信息获取请求对应的数字签名，并用所述医疗信息获取请求的请求者的公钥解密所述数字签名，得到第一摘要信息；
    解密模块，用于用所述请求者的私钥解密所述医疗信息获取请求对应的密文，得到原文；
    运算模块，用于对所述原文进行哈希运算，得到第二摘要信息；
    摘要信息判断模块，用于判断所述第一摘要信息与所述第二摘要信息是否一致；
    权限确定模块，用于若所述第一摘要信息与所述第二摘要信息一致，确定所述请求者具有与所述请求者的身份相应的请求权限，执行所述从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据的步骤；或者，若所述第一摘要信息与所述第二摘要信息不一致，确定所述请求者不具有与所述请求者的身份相应的请求权限，输出所述请求者不具有请求权限的提示信息。
  8. 根据权利要求6所述的系统，其特征在于，所述系统还包括：
    第一获取模块，用于获取所述指定地区内各个医院的历史诊疗数据；
    第一存储模块，用于将获取的历史诊疗数据打包存储到指定区块中，向所述区块链的所有存储节点发送所述指定区块，以使所述存储节点将所述指定区块添加到所述区块链中。
  9. 根据权利要求6所述的系统，其特征在于，所述系统还包括：
    数据量统计模块，用于响应于获取到所述指定地区内医院的历史诊疗数据，统计本次获取的该医院的历史诊疗数据的数据量；
    奖励积分确定模块，用于根据所述数据量，确定该医院本次得到的公信力奖励积分。
  10. 根据权利要求6所述的系统，其特征在于，所述系统还包括：
    上传指令发送模块，用于向所述指定地区内各个医院的医院服务器发送医疗资源数据上传指令，所述医疗资源数据上传指令用于指示上传医院的当前医疗资源数据；
    数据接收模块，用于接收所述医院服务器响应于所述医疗资源数据上传指令返回的当前医疗资源数据。
  11. 一种服务器，其特征在于，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如下步骤：
    接收客户端的医疗信息获取请求，所述医疗信息获取请求中包括信息类型；
    从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据，所述区块链用于存储指定地区内所有医院的历史诊疗数据；
    根据所述信息类型，对所述原始诊疗数据进行与所述信息类型相对应的处理，得到与所述医疗信息获取请求对应的目标医疗信息；
    将所述目标医疗信息返回给所述客户端。
  12. 根据权利要求11所述的服务器，其特征在于，所述处理器执行所述计算机程序时还实现如下步骤：
    获取所述医疗信息获取请求对应的数字签名，并用所述医疗信息获取请求的请求者的公钥解密所述数字签名，得到第一摘要信息；
    用所述请求者的私钥解密所述医疗信息获取请求对应的密文，得到原文；
    对所述原文进行哈希运算，得到第二摘要信息；
    判断所述第一摘要信息与所述第二摘要信息是否一致；
    若所述第一摘要信息与所述第二摘要信息一致，确定所述请求者具有与所述请求者的身份相应的请求权限，执行所述从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据的步骤；或者，若所述第一摘要信息与所述第二摘要信息不一致，确定所述请求者不具有与所述请求者的身份相应的请求权限，输出所述请求者不具 有请求权限的提示信息。
  13. 根据权利要求11所述的服务器，其特征在于，所述处理器执行所述计算机程序时还实现如下步骤：
    获取所述指定地区内各个医院的历史诊疗数据；
    将获取的历史诊疗数据打包存储到指定区块中；
    向所述区块链的所有存储节点发送所述指定区块，以使所述存储节点将所述指定区块添加到所述区块链中。
  14. 根据权利要求11所述的服务器，其特征在于，所述处理器执行所述计算机程序时还实现如下步骤：
    响应于获取到所述指定地区内医院的历史诊疗数据，统计本次获取的该医院的历史诊疗数据的数据量；
    根据所述数据量，确定该医院本次得到的公信力奖励积分。
  15. 根据权利要求11所述的服务器，其特征在于，所述处理器执行所述计算机程序时还实现如下步骤：
    向所述指定地区内各个医院的医院服务器发送医疗资源数据上传指令，所述医疗资源数据上传指令用于指示上传医院的当前医疗资源数据；
    接收所述医院服务器响应于所述医疗资源数据上传指令返回的当前医疗资源数据。
  16. 一种计算机非易失性可读存储介质，所述计算机非易失性可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如下步骤：
    接收客户端的医疗信息获取请求，所述医疗信息获取请求中包括信息类型；
    从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据，所述区块链用于存储指定地区内所有医院的历史诊疗数据；
    根据所述信息类型，对所述原始诊疗数据进行与所述信息类型相对应的处理，得到与所述医疗信息获取请求对应的目标医疗信息；
    将所述目标医疗信息返回给所述客户端。
  17. 根据权利要求16所述的计算机非易失性可读存储介质，其特征在于，所述计算机程序被处理器执行时还实现如下步骤：
    获取所述医疗信息获取请求对应的数字签名，并用所述医疗信息获取请求的请求者的公钥解密所述数字签名，得到第一摘要信息；
    用所述请求者的私钥解密所述医疗信息获取请求对应的密文，得到原文；
    对所述原文进行哈希运算，得到第二摘要信息；
    判断所述第一摘要信息与所述第二摘要信息是否一致；
    若所述第一摘要信息与所述第二摘要信息一致，确定所述请求者具有与所述请求者的身份相应的请求权限，执行所述从区块链中读取与所述医疗信息获取请求相关的原始诊疗数据的步骤；或者，若所述第一摘要信息与所述第二摘要信息不一致，确定所述请求者不具有与所述请求者的身份相应的请求权限，输出所述请求者不具有请求权限的提示信息。
  18. 根据权利要求16所述的计算机非易失性可读存储介质，其特征在于，所述计算机程序被处理器执行时还实现如下步骤：
    获取所述指定地区内各个医院的历史诊疗数据；
    将获取的历史诊疗数据打包存储到指定区块中；
    向所述区块链的所有存储节点发送所述指定区块，以使所述存储节点将所述指定区块添加到所述区块链中。
  19. 根据权利要求16所述的计算机非易失性可读存储介质，其特征在于，所述计算机程序被处理器执行时还实现如下步骤：
    响应于获取到所述指定地区内医院的历史诊疗数据，统计本次获取的该医院的历史诊疗数据的数据量；
    根据所述数据量，确定该医院本次得到的公信力奖励积分。
  20. 根据权利要求16所述的计算机非易失性可读存储介质，其特征在于，所述计算机程序被处理器执行时还实现如下步骤：
    向所述指定地区内各个医院的医院服务器发送医疗资源数据上传指令，所述医疗资源数据上传指令用于指示上传医院的当前医疗资源数据；
    接收所述医院服务器响应于所述医疗资源数据上传指令返回的当前医疗资源数据。
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