CN111063407B - Medical resource data processing method and system based on block chain - Google Patents

Medical resource data processing method and system based on block chain Download PDF

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CN111063407B
CN111063407B CN201911214231.1A CN201911214231A CN111063407B CN 111063407 B CN111063407 B CN 111063407B CN 201911214231 A CN201911214231 A CN 201911214231A CN 111063407 B CN111063407 B CN 111063407B
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姚其新
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Abstract

The invention discloses a medical resource data processing method based on a block chain, which comprises the steps of carrying out pre-examination on personal information of a patient, corresponding medical requirement information and information of a medical provider which are transmitted to a medical real-time service platform; and if the pre-checked information is insufficient, sending feedback to the information and filtering the information, and if the pre-checked information is sufficient, storing the checked information in a medical real-time service platform database. According to the invention, medical related information is recorded through the block chain, the personal information of the patient, the corresponding medical requirement information and the medical provider information are stored on the block chain, the problems of idle supply of medical resources and real-time matched monitoring data are comprehensively considered, the matching operation degree of the medical real-time service platform is finely and accurately judged from the three aspects of the requirement of the medical resources of each department on the block, the supplied weight, the specific quantity and the average value, and the targeted alarm prediction and scheduling are carried out.

Description

Medical resource data processing method and system based on block chain
Technical Field
The invention relates to the technical field of medical informatization, in particular to a block chain-based medical resource data processing method.
Background
At present, the medical mode of most areas is mainly based on procedures of registration of patients to medical institutions, outpatient diagnosis, treatment according to diagnosis results and the like, because the patients are not aware of the prior medical technology, errors such as wrong registration and inaccurate diagnosis often occur, and meanwhile, because the number of medical requirements is large, the outpatient queuing and other problems occur, the distribution of medical resources is not fair, the medical service cannot be responded in time, the data arrangement in all aspects is disordered, and the disorder is easy to occur.
Because modern medical institutions have many categories and are far away from each other, centralized allocation is difficult to carry out in a manual mode, medical demanders and providers cannot effectively interact in the existing mode, the load of a medical system is large, the total amount of resources is not marketized, and the medical service efficiency and the resource allocation need to be improved urgently. The existing medical institutions are multiple, personnel enter and exit in a mixed manner, the personal information of patients cannot be guaranteed when the personal information is input into the medical institutions, the information can be illegally utilized and maliciously tampered, the medical institutions need to perfect the storage and protection of the information of the patients, meanwhile, in order to achieve a good medical service effect, the publicity of the relevant information needs to be guaranteed, and the existing medical market still has defects in information processing.
The medical population base is large, related information is difficult to arrange, a series of existing mature technologies are combined in a block chain, information is effectively recorded in a distributed mode, and a perfect script is provided to support different business logics, but the existing block system has some problems, most medical requirement data are adopted in the existing platform, the problems of idle medical resource supply and monitoring data matched in real time are less considered, the matching operation degree of the medical real-time service platform is difficult to accurately judge from three aspects of requirements, supplied weights, specific quantities and mean values of medical resources of various departments in a block, targeted alarm prediction and scheduling cannot be performed, the accuracy and the effectiveness of the medical real-time service platform cannot be improved, the expansibility of the system is poor, all nodes can do all work, and data are stored in each node, the space utilization efficiency is low.
Therefore, there is a need for a convenient and orderly method for processing medically relevant information and for storing and organizing the information in a rational manner.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method for processing medical resource data based on a block chain, comprising the following steps:
the method comprises the following steps that 1, pre-auditing the personal information of a patient, corresponding medical requirement information and information of a medical provider which are transmitted to a medical real-time service platform;
step 2, if the pre-checked information is insufficient, sending feedback to the information and filtering the information, and if the pre-checked information is sufficient, storing the information which passes the checking in a medical real-time service platform database;
step 3, matching the information of the patient and the medical provider in a medical real-time service platform, and generating medical service confirmation information according to the matching result;
step 4, the medical real-time service platform arranges the medical service confirmation information and stores the medical service confirmation information into a block chain, wherein the medical service confirmation information comprises the medical requirement information, the patient information and the medical provider information;
and 5, sending the medical service confirmation information to the patient and the medical provider matched with the service requirement information so that the patient and the medical provider perform medical service according to the medical service confirmation information.
The invention has the beneficial effects that:
1. and the medical service confirmation information is sent to the patient and the medical provider matched with the service requirement information, so that the relevant medical service information is real and can not be changed, the doctor and the patient can clearly know the exact information of the medical service, the tedious and time-consuming procedures such as registration and queuing are avoided, and the hospitalizing experience of the patient is improved.
2. The medical resource is centrally controlled and uniformly and directly allocated by processing the data through the medical real-time service platform, so that the medical demander and the medical provider are quickly and accurately matched, the load of the whole medical market tends to be stable, the service processing efficiency is improved, and the resource allocation is optimized.
3. The method of the invention is based on block chain Hash addressing and encryption, stores and arranges the data in the block chain in a partitioning way, changes the defect of low space utilization efficiency caused by storing the data in all nodes in the traditional block chain system, is convenient for storage, viewing and management, and improves the safety and the privacy of the data.
4. The method has the advantages that medical related information is recorded through the blockchain, the personal information of patients, the corresponding medical requirement information and the medical provider information are stored on the blockchain, the problems of idle supply of medical resources and monitoring data matched in real time are comprehensively considered, the matching operation degree of the medical real-time service platform is finely and accurately judged according to the requirements of medical resources of various departments on the blockchain, the weight, the specific quantity and the mean value of the supply, targeted alarm prediction and scheduling are performed, the accuracy and the effectiveness of the medical real-time service platform are improved, the expansibility of the system is improved, the idle amount of effective medical resources is reduced, the problem of medical bundling is solved, based on the decentralization and non-tampering characteristics of the blockchain, the medical service information is more credible, medical transaction behaviors are difficult to tamper, and contradictions and disputes caused by the problems of information loss and the like are reduced, greatly improving the bad relationship between doctors and patients.
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FIG. 1 is a schematic view of a medical resource data processing flow according to the present invention;
FIG. 2 is a schematic diagram of an information matching and confirmation process according to the present invention;
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
A blockchain-based medical resource data processing method, the method comprising:
the method comprises the following steps that 1, pre-auditing the personal information of a patient, corresponding medical requirement information and information of a medical provider which are transmitted to a medical real-time service platform;
step 2, if the pre-checked information is insufficient, sending feedback to the information and filtering the information, and if the pre-checked information is sufficient, storing the information which passes the checking in a medical real-time service platform database;
step 3, matching the information of the patient and the medical provider in a medical real-time service platform, and generating medical service confirmation information according to the matching result;
step 4, the medical real-time service platform arranges the medical service confirmation information and stores the medical service confirmation information into a block chain, wherein the medical service confirmation information comprises the medical requirement information, the patient information and the medical provider information;
and 5, sending the medical service confirmation information to the patient and the medical provider matched with the service requirement information so that the patient and the medical provider perform medical service according to the medical service confirmation information.
The medical real-time service platform comprises a data extraction terminal, a central supervision module and a central processing module.
The step 3 specifically comprises the following steps:
step 31, the data extraction terminal extracts the personal information of the patient, the corresponding medical requirement information and the medical provider information and sends the information to the central supervision module and the central processing module;
step 32, the central supervision module processes the personal information of the patient and the corresponding medical requirement information to generate a medical requirement response signal and a medical requirement information release signal;
step 33, the central processing module analyzes the personal information of the patient and the corresponding medical requirement information, extracts key medical technical requirements, and a medical requirement information release signal triggers the central processing module to release the medical technical requirements on a medical real-time service platform;
step 34, the central supervision module processes the medical provider information to generate a medical provision response signal and a medical provision information release signal;
step 35, the central processing module analyzes the medical provider information, extracts key medical technologies, and a medical provider information release signal triggers the central processing module to release the medical technologies on a medical real-time service platform;
and step 36, the central processing module matches the medical technology requirement with the medical technology, and generates medical service confirmation information according to the medical requirement response signal and the medical provision response signal.
The step of arranging the medical service confirmation information by the medical real-time service platform and storing the medical service confirmation information into the block chain specifically comprises the following steps:
encrypting the medical service confirmation information, transmitting the encrypted medical service confirmation information to any block link point and generating a hash code corresponding to the medical service confirmation information and the block link points one by one;
broadcasting the encrypted medical service confirmation information and the encrypted hash codes to nodes of the whole network through the block links, distributing storage nodes for the medical service confirmation information in the nodes of the whole network, generating a storage position sequence corresponding to the hash codes, broadcasting the generated storage position sequence to the whole network for consensus, and distributing a certain number of storage nodes;
and storing the corresponding medical service confirmation information on each storage node according to the storage position sequence.
The medical real-time service platform arranges the medical service confirmation information and stores the medical service confirmation information in a block chain, and then the medical real-time service platform calculates a medical technology requirement science resource index xqz:
Figure GDA0002638969080000061
wherein, aiIs diWeight coefficient corresponding to medical resource demand of the ith medical technology department, biIs giA weight coefficient corresponding to the medical resource requirement of the ith medical technology department, and
Figure GDA0002638969080000062
Figure GDA0002638969080000063
is diThe value when the block medical requirement information storage amount reaches the maximum threshold value,
Figure GDA0002638969080000064
is giWhen the memory space of the block medical requirement information reaches the maximum threshold value, I represents the ith medical technical requirement department, I belongs to [1, I ∈]Where I represents the total medical technical requirement category, diIs the first intrinsic quantity, g, of the set of medical need information xqiFor the second eigen quantity of the medical requirement information set xq, the following is calculated:
Figure GDA0002638969080000065
Figure GDA0002638969080000066
wherein, Ci(e) Wavelet coefficient of ith medical technical requirement department on the E level obtained after wavelet packet transformation is carried out on the medical requirement information set xq stored for the block, and E represents ith medical technical requirement departmentTotal number of wavelet coefficients, C, of medical technical requirementsi(e) F (xq), f (xq) denotes a wavelet packet transform function.
The medical real-time service platform arranges the medical service confirmation information and stores the medical service confirmation information in a block chain, and then the medical real-time service platform calculates a medical technology demand supply resource index gjz:
Figure GDA0002638969080000067
wherein h isjA weight coefficient representing the supply of medical resources of the jth medical technology department, and
Figure GDA0002638969080000071
j represents the number of medical resource supplies of the jth medical technology category, J belongs to [1, J ∈]J is the medical resource supply quantity of the general medical technology subject;
Figure GDA0002638969080000072
a mean value representing the number of medical resource supplies for the jth free medical technology department;
Figure GDA0002638969080000073
and taking the value of the medical resource supply of each idle medical technology department when the storage amount of the medical requirement information in the block reaches the maximum threshold value, wherein the average value of the supply quantity of the medical resources of the idle medical technology department is as follows:
Figure GDA0002638969080000074
Figure GDA0002638969080000075
wherein,
Figure GDA0002638969080000076
the supply quantity of medical resources representing the free medical technology departmentThe value of the one or more of,
Figure GDA0002638969080000077
represents the average of the number of supplies of medical resources of the jth free medical technology department,
Figure GDA0002638969080000078
a number indicating the number of medical resource supplies of the jth medical technology category which are idle after matching at the nth time node; n represents the nth time node, N is equal to [1, N ∈]N is the number of nodes in a time period of the medical data platform matching resources, and in this example, N is 120.
When xqz does not exceed the pre-stored first critical value and gjz does not exceed the pre-stored second critical value, the medical real-time service platform operates normally;
when xqz exceeds a pre-stored first critical value and gjz does not exceed a pre-stored second critical value, the medical real-time service platform gives an alarm;
when xqz does not exceed the pre-stored first critical value and gjz exceeds the pre-stored second critical value, the medical real-time service platform normally operates, but broadcasts to other blocks to prompt that medical requirements of other blocks can be collected;
when xqz exceeds a first pre-stored threshold and gjz exceeds a second pre-stored threshold, the real-time medical service platform alarms.
The personal information of the patient comprises patient identity information, past medical history information and contraindications, and the medical provider information comprises: identity information of a medical provider, a subject of medical service, a medical service flow, a service providing time period and medical institution information; the medical need information includes: a required medical service category, symptoms, a required service period, required location information.
The medical resources comprise the number of doctors, the number of hospital beds, the number of surgical equipment and the like.
The platform of the data processing method comprises a data extraction terminal, a central supervision module and a central processing module.

Claims (6)

1. A method for processing medical resource data based on a blockchain, the method comprising:
the method comprises the following steps that 1, pre-auditing the personal information of a patient, corresponding medical requirement information and information of a medical provider which are transmitted to a medical real-time service platform;
step 2, if the pre-checked information is insufficient, sending feedback to the information and filtering the information, and if the pre-checked information is sufficient, storing the information which passes the checking in a medical real-time service platform database;
step 3, matching the information of the patient and the medical provider in a medical real-time service platform, and generating medical service confirmation information according to the matching result;
step 4, the medical real-time service platform arranges the medical service confirmation information and stores the medical service confirmation information into a block chain, wherein the medical service confirmation information comprises the medical requirement information, the patient information and the medical provider information;
step 5, sending the medical service confirmation information to the patient and the medical provider matched with the medical requirement information so that the patient and the medical provider perform medical service according to the medical service confirmation information;
the medical real-time service platform comprises a data extraction terminal, a central supervision module and a central processing module;
the step 3 specifically comprises the following steps:
step 31, the data extraction terminal extracts the personal information of the patient, the corresponding medical requirement information and the medical provider information and sends the information to the central supervision module and the central processing module;
step 32, the central supervision module processes the personal information of the patient and the corresponding medical requirement information to generate a medical requirement response signal and a medical requirement information release signal;
step 33, the central processing module analyzes the personal information of the patient and the corresponding medical requirement information, extracts key medical technical requirements, and a medical requirement information release signal triggers the central processing module to release the medical technical requirements on a medical real-time service platform;
step 34, the central supervision module processes the medical provider information to generate a medical provision response signal and a medical provision information release signal;
step 35, the central processing module analyzes the medical provider information, extracts key medical technologies, and a medical provider information release signal triggers the central processing module to release the medical technologies on a medical real-time service platform;
step 36, the central processing module matches the medical technology demand with the medical technology, and generates medical service confirmation information according to the medical demand response signal and the medical provision response signal;
the step of arranging the medical service confirmation information by the medical real-time service platform and storing the medical service confirmation information into the block chain specifically comprises the following steps:
encrypting the medical service confirmation information, transmitting the encrypted medical service confirmation information to any block link point and generating a hash code corresponding to the medical service confirmation information and the block link points one by one;
broadcasting the encrypted medical service confirmation information and the encrypted hash codes to nodes of the whole network through the block link, distributing storage nodes for the medical service confirmation information in the nodes of the whole network, generating a storage position sequence corresponding to the hash codes, broadcasting the generated storage position sequence to the whole network for consensus, and distributing a certain number of storage nodes;
storing the corresponding medical service confirmation information on each storage node according to the storage position sequence;
the medical real-time service platform arranges the medical service confirmation information and stores the medical service confirmation information in a block chain, and then the medical real-time service platform calculates a medical technology requirement science resource index xqz:
Figure FDA0002673912870000031
wherein, aiIs diWeight coefficient corresponding to medical resource demand of the ith medical technology department, biIs giA weight coefficient corresponding to the medical resource requirement of the ith medical technology department, and
Figure FDA0002673912870000032
Figure FDA0002673912870000033
is diThe value when the block medical requirement information storage amount reaches the maximum threshold value,
Figure FDA0002673912870000034
is giWhen the memory space of the block medical requirement information reaches the maximum threshold value, I represents the ith medical technical requirement department, I belongs to [1, I ∈]Where I represents the total medical technical requirement category, diIs the first intrinsic quantity, g, of the set of medical need information xqiFor the second eigen quantity of the medical requirement information set xq, the following is calculated:
Figure FDA0002673912870000035
Figure FDA0002673912870000036
wherein, Ci(e) Wavelet coefficients of the ith medical technical requirement department on the E level obtained after wavelet packet transformation is carried out on the medical requirement information set xq stored for the block, E represents the total number of all wavelet coefficients of the ith medical technical requirement department, Ci(e) F (xq), f (xq) denotes a wavelet packet transform function.
2. The blockchain-based medical resource data processing method according to claim 1, wherein the step of organizing and storing the medical service confirmation information into the blockchain by the medical real-time service platform includes the following steps of calculating a medical technology demand supply resource index gjz:
Figure FDA0002673912870000037
wherein h isjA weight coefficient representing the supply of medical resources of the jth medical technology department, and
Figure FDA0002673912870000038
j represents the number of medical resource supplies of the jth medical technology category, J belongs to [1, J ∈]J is the medical resource supply quantity of the general medical technology subject;
Figure FDA0002673912870000039
a mean value representing the number of medical resource supplies for the jth free medical technology department;
Figure FDA00026739128700000310
and taking the value of the medical resource supply of each idle medical technology department when the storage amount of the medical requirement information in the block reaches the maximum threshold value, wherein the average value of the supply quantity of the medical resources of the idle medical technology department is as follows:
Figure FDA0002673912870000041
Figure FDA0002673912870000042
wherein,
Figure FDA0002673912870000043
a mean value of the number of supplies of medical resources representing the free medical technology discipline,
Figure FDA0002673912870000044
represents the average of the number of supplies of medical resources of the jth free medical technology department,
Figure FDA0002673912870000045
a number indicating the number of medical resource supplies of the jth medical technology category which are idle after matching at the nth time node; n represents the nth time node, N is equal to [1, N ∈]N is the number of nodes in a time period of the medical data platform matching resources, and in this example, N is 120.
3. The blockchain-based medical resource data processing method according to claim 2, wherein when xqz does not exceed a pre-stored first threshold value and gjz does not exceed a pre-stored second threshold value, the medical real-time service platform operates normally;
when xqz exceeds a pre-stored first critical value and gjz does not exceed a pre-stored second critical value, the medical real-time service platform gives an alarm;
when xqz does not exceed the pre-stored first critical value and gjz exceeds the pre-stored second critical value, the medical real-time service platform normally operates, but broadcasts to other blocks to prompt that medical requirements of other blocks can be collected;
when xqz exceeds a first pre-stored threshold and gjz exceeds a second pre-stored threshold, the real-time medical service platform alarms.
4. The blockchain-based medical resource data processing method according to claim 3,
the personal information of the patient comprises patient identity information, past medical history information and contraindications, and the medical provider information comprises: identity information of a medical provider, a subject of medical service, a medical service flow, a service providing time period and medical institution information; the medical need information includes: a required medical service category, symptoms, a required service period, required location information.
5. The blockchain-based medical resource data processing method according to claim 4, wherein the medical resources include a number of doctors, a number of hospital beds, and a number of surgical devices.
6. A system of data processing method according to any one of claims 1-5, characterized by comprising a data extraction terminal, a central supervision module and a central processing module.
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