CN115985436B - Medical information sharing method based on intelligent medical treatment - Google Patents
Medical information sharing method based on intelligent medical treatment Download PDFInfo
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Abstract
The invention relates to a medical information sharing method based on intelligent medical treatment, which comprises the following steps: receiving serialized medical information, determining a belonging hospital private chain according to a hospital, calculating the storage space ratio of each private chain node in the hospital private chain, selecting a private chain node with the highest storage space ratio to obtain a priority storage chain node, uploading the serialized medical information to the priority storage chain node, generating a broadcasting instruction of the serialized medical information by using the priority storage chain node after the serialized medical information is successfully uploaded to the priority storage chain node, transmitting the broadcasting instruction to other private chain nodes, acquiring publicable information determined by other private chain nodes according to the serialized medical information after the other private chain nodes receive the broadcasting instruction, obtaining medical public information, and storing the medical public information to the hospital public chain to finish medical information sharing. The invention can improve the sharing range of medical information sharing.
Description
Technical Field
The invention relates to the technical field of intelligent medical treatment, in particular to a medical information sharing method based on intelligent medical treatment.
Background
Along with the advancement of informatization in the medical industry, the medical field has entered a big data age, but the opponent of privacy protection and data sharing still faces a plurality of challenges, namely, how to achieve the purpose of medical data sharing under the condition of effectively protecting privacy of a doctor, a hospital, a doctor and the like, thereby improving the progress of the medical field.
The current medical information sharing method mainly relies on the blockchain technology, namely medical data of each hospital is uploaded to a unified blockchain, when other legal users of the blockchain need to know the data, the blockchain is accessed, and all medical data of the blockchain are acquired.
Although the method can realize medical information sharing, the method is not truly shared, namely only regional medical information sharing is realized, only other legal users of the blockchain are qualified to access the medical information, and other users not belonging to the blockchain cannot access the medical information.
Disclosure of Invention
The invention provides a medical information sharing method based on intelligent medical treatment, which mainly aims to improve the sharing range of medical information sharing.
In order to achieve the above object, the present invention provides a medical information sharing method based on smart medical treatment, including:
receiving the treatment data of a person in treatment at a treatment hospital, and executing serialization operation on the treatment data to generate serialized medical information corresponding to the person in treatment-hospital one by one, wherein the serialized medical information is represented as follows:
T ij ＝(T n ,T t ,T s ,T c )
wherein ,Tij Serialized medical information representing the jth visit in the ith visit hospital, T n Representing the total number, T, of serialized medical information generated by the jth physician in the ith hospital visit in the history t Representing the time of the j-th visit, T s A signature representing a doctor who performs diagnosis on the jth doctor in the jth doctor and the ith doctor in the hospital, T c Structured visit data generated from the visit data of the jth visit person at the ith visit hospital;
extracting the medical treatment hospitals of the serialized medical information, and determining the affiliated hospital private chain according to the medical treatment hospitals;
calculating the storage space ratio of each private chain node in the private chain of the hospital, and selecting the private chain node with the highest storage space ratio to obtain a priority storage chain node, wherein the calculation process of the storage space ratio comprises the following steps:
receiving a preset time starting point for calculating the storage space ratio, and determining the treatment time as a time ending point;
calculating a time period according to the time starting point and the time ending point, and acquiring a history storage record of each private chain node in the time period, wherein the history storage record comprises a data size value of each history serialized medical information and a corresponding storage time consumption value;
constructing a storage efficiency function of each private chain node according to the data size value and the storage time consumption value;
taking the serialized medical information as a parameter of the storage efficiency function, and calculating to obtain a corresponding storage time consumption value;
calculating the ratio of the serialized medical information to the stored time consumption value to obtain the storage space ratio;
verifying the legality of the serialized medical information according to the signature of the serialized medical information, and uploading the serialized medical information to a priority storage chain node when the legality verification of the serialized medical information passes;
after the serialized medical information is successfully uploaded to the priority storage chain node, generating a broadcasting instruction of the serialized medical information by utilizing the priority storage chain node, and transmitting the broadcasting instruction to other private chain nodes;
after receiving the broadcast instruction, other private chain nodes acquire publicable information determined by other private chain nodes according to the serialized medical information, and medical public information is obtained;
and storing the medical public information into a hospital public chain to finish medical information sharing.
Optionally, the performing a serialization operation on the patient data, generating serialized medical information corresponding to the patient-hospital one-to-one, includes:
performing a splitting operation on the visit data, wherein the splitting operation comprises:
running a pre-constructed structured diagnosis program to generate a structured empty diagnosis list, wherein the list head of the structured empty diagnosis list sequentially comprises a diagnosis person, a diagnosis doctor, a diagnosis hospital, a diagnosis time, a diagnosis project participated by the diagnosis person, a diagnosis result of the diagnosis doctor and a medicine set of the diagnosis person;
sequentially filling the diagnosis data into the structured empty diagnosis list according to the header of the structured empty diagnosis list to obtain structured diagnosis data;
acquiring the total number of historical treatment data according to the corresponding relation between the treatment person and the treatment hospital;
acquiring signatures of a doctor and a doctor from a database of the doctor-seeing hospital;
the serialized medical information is generated in the order of the total number of medical visits, the time of the medical visit, the signature of the visit and the doctor of the medical visit, and the structured medical visit data.
Optionally, the step of extracting the serialized medical information in a hospital and determining the private chain of the hospital to which the hospital belongs according to the hospital includes:
extracting a treatment hospital from the structured treatment data of the serialized medical information, wherein the treatment hospital comprises a treatment hospital name, a treatment hospital network address and an access account number of a treatment hospital access hospital private chain;
verifying the validity of the network address of the hospital to be treated, traversing all the private chains of the hospital including the name of the hospital to be treated when the network address is legal, logging in each private chain of the hospital in turn according to the access account number, and determining the private chain of the hospital which is successfully logged in as the private chain of the hospital to which the hospital to be treated belongs.
Optionally, the constructing a storage efficiency function of each private chain node according to the data size value and the storage time consumption value includes:
and taking the data size value as an independent variable, and after taking the storage time consumption value as a dependent variable, fitting the independent variable and the dependent variable to obtain the storage efficiency function, wherein a fitting tool comprises MATLAB, python.
Optionally, the verifying the validity of the serialized medical information according to the signature of the serialized medical information includes:
acquiring a private hospital key stored in the hospital, and calculating a public hospital key of the private hospital key according to the signature of the doctor in the hospital;
inputting the hospital public key into the priority storage chain node, and generating an instruction to be stored after the priority storage chain node successfully receives the hospital public key;
and starting a key verification node of the private chain of the hospital by using the instruction to be stored, and driving the key verification node to verify the validity of the public key of the hospital.
Optionally, the calculating to obtain the public hospital key of the private hospital key according to the signature of the doctor in the doctor-seeing hospital includes:
acquiring a signature of a doctor who makes a doctor in the doctor-making hospital, wherein the signature is an image type, namely a signature image;
constructing an image coordinate system, wherein the lower left corner of the signature image is the origin of the image coordinate system;
determining boundary points of a signature image in an image coordinate system, wherein the boundary points are 4 in total, the 1 st boundary point is the position of the stroke closest to the original point in the signature image, the 2 nd boundary point is the position of the stroke farthest from the original point in the signature image, the 3 rd boundary point is the position of the lower right corner of the signature image, and the 4 th boundary point is the position of the upper left corner of the signature image;
determining a signature boundary center point D (x, y) according to the 4 boundary points, wherein the calculation method of the abscissa x and the ordinate y of the signature boundary center point D (x, y) comprises the following steps:
wherein ,mean value of the abscissa representing the 1 st boundary point and the 2 nd boundary point, +.>Mean value representing the ordinate of the 1 st boundary point and the ordinate of the 2 nd boundary point,/>Mean value of the abscissa representing the 3 rd boundary point and the abscissa representing the 4 th boundary point,/>Representing the mean of the ordinate of the 3 rd boundary point and the ordinate of the 4 th boundary point,mean value of the abscissa representing 4 boundary points, +.>Mean value of ordinate representing 4 boundary points, κ 1 Is the abscissa intercept of the center point of the signature boundary, beta 1 ,β 2 Represent weight value, κ 2 Is the ordinate intercept of the center point of the signature boundary;
performing hash operation on the signature boundary center point to obtain a signature hash value;
and calculating the public hospital key according to the signature hash value and the private hospital key.
Optionally, the calculating according to the signature hash value and the hospital private key to obtain the hospital public key includes:
pk i ＝Sk i G
wherein ,pki Hospital public key Sk representing ith hospital visit i The private hospital key of the ith treatment hospital is represented, and G represents the signature hash value of the doctor of the ith treatment hospital.
Optionally, the obtaining the public information determined by the other private link points according to the serialized medical information to obtain the medical public information includes:
driving other private link points to access the serialized medical information of the priority storage link node, wherein the other private link nodes have only reading function on the serialized medical information;
and packaging and summarizing the determined publicable information after reading the serialized medical information by other private link points to obtain the medical public information.
Optionally, the storage efficiency function includes a primary function, a secondary function, and a trigonometric function.
In order to solve the problems described in the background art, the embodiment of the invention firstly receives the treatment data of a doctor in a treatment hospital, performs serialization operation on the treatment data to generate one-to-one correspondence of the doctor and the hospital, generates serialization medical information, wherein the main purpose of the serialization medical information is to improve the sharing efficiency of subsequent medical information, further, extracts the treatment hospital of the serialization medical information, determines the belonging hospital private chain according to the treatment hospital, and mainly stores the serialization medical information, so that the hospital private chain mainly considers the safety and the storage efficiency, therefore, the embodiment of the invention calculates the storage space ratio of each private chain node in the hospital private chain, selects the private chain node with the highest storage space ratio, obtains the priority storage chain node according to the signature of the serialization medical information, verifying the validity of the serialized medical information, uploading the serialized medical information to a priority storage chain node when the validity of the serialized medical information is verified, determining the priority storage chain node according to the storage space ratio, thereby improving the safety and storage efficiency of the serialized medical information in the storage process of a private chain of a hospital, finally, generating a broadcasting instruction of the serialized medical information by using a priority storage chain node after the serialized medical information is successfully uploaded to the priority storage chain node, transmitting the broadcasting instruction to other private chain nodes, and acquiring publicable information determined by other private chain nodes according to the serialized medical information after the other private chain nodes receive the broadcasting instruction, thereby obtaining medical public information, wherein the medical public information is invading privacy after the privacy information and other unpublishable factors are considered, the medical information of factors such as safety can be stored in a public chain of a hospital for study of patients, scientific researchers and medical institutions of doctors. Therefore, the medical information sharing method, the device, the electronic equipment and the computer readable storage medium based on intelligent medical treatment can improve the sharing range of medical information sharing.
Drawings
FIG. 1 is a flow chart of a medical information sharing method based on smart medical treatment according to an embodiment of the invention;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, a flow chart of a medical information sharing method based on smart medical treatment according to an embodiment of the invention is shown. In this embodiment, the medical information sharing method based on smart medical treatment includes:
s1, receiving the diagnosis data of a doctor in a diagnosis hospital, and performing serialization operation on the diagnosis data to generate serialized medical information corresponding to the doctor-hospital one by one.
It should be explained that the patient data of the patient in the patient-seeing hospital is generally stored in the working computer of the hospital, so that the patient-seeing data can be directly obtained from the working computer. Illustratively, the last physical discomfort of the small piece comes to a local three-dimensional hospital for hanging, drawing blood, taking medicine, etc., thereby generating the visit data. It is understood that the visit data includes personal information of the sheetlet, various kinds of examination information, medication information, and the like.
Because the medical information is relatively confusing and is unfavorable for subsequent medical information sharing, the serialization operation needs to be performed, so that the serialized medical information with the uniform format type is formed. In detail, the step of performing the serialization operation on the medical data to generate the serialized medical information of the one-to-one correspondence between the medical person and the hospital includes:
performing a splitting operation on the visit data, wherein the splitting operation comprises:
running a pre-constructed structured diagnosis program to generate a structured empty diagnosis list, wherein the list head of the structured empty diagnosis list sequentially comprises a diagnosis person, a diagnosis doctor, a diagnosis hospital, a diagnosis time, a diagnosis project participated by the diagnosis person, a diagnosis result of the diagnosis doctor and a medicine set of the diagnosis person;
sequentially filling the diagnosis data into the structured empty diagnosis list according to the header of the structured empty diagnosis list to obtain structured diagnosis data;
acquiring the total number of historical treatment data according to the corresponding relation between the treatment person and the treatment hospital;
acquiring signatures of a doctor and a doctor from a database of the doctor-seeing hospital;
the serialized medical information is generated in the order of the total number of medical visits, the time of the medical visit, the signature of the visit and the doctor of the medical visit, and the structured medical visit data.
In detail, the representation of the serialized medical information is:
T ij ＝(T n ,T t ,T s ,T c )
wherein ,Tij Serialized medical information representing the jth visit in the ith visit hospital, T n Representing the total number, T, of serialized medical information generated by the jth physician in the ith hospital visit in the history t Representing the time of the j-th visit, T s A signature representing a doctor who performs diagnosis on the jth doctor in the jth doctor and the ith doctor in the hospital, T c Structured visit data generated from the visit data of the jth visit person at the ith visit hospital.
S2, extracting the medical treatment hospitals with the serialized medical information, and determining the private hospital chains of the medical treatment hospitals according to the medical treatment hospitals.
The medical information sharing strategy of the embodiment of the invention mainly comprises two steps, wherein the first step is to store the generated serialized medical information into a hospital private chain, wherein the hospital private chain is an internal access mechanism, namely, medical information in the hospital private chain cannot be accessed by personnel authenticated by non-hospitals. And the second step is to selectively select publicly shared medical information from the serialized medical information stored in the private hospital chain and store the medical information in the public hospital chain.
In detail, the method for extracting the serialized medical information in a hospital and determining the private chain of the hospital according to the hospital comprises the following steps:
extracting a treatment hospital from the structured treatment data of the serialized medical information, wherein the treatment hospital comprises a treatment hospital name, a treatment hospital network address and an access account number of a treatment hospital access hospital private chain;
verifying the validity of the network address of the hospital to be treated, traversing all the private chains of the hospital including the name of the hospital to be treated when the network address is legal, logging in each private chain of the hospital in turn according to the access account number, and determining the private chain of the hospital which is successfully logged in as the private chain of the hospital to which the hospital to be treated belongs.
Illustratively, doctor A, who is a small doctor, is affiliated with private chain M of the hospital, so that the doctor data of all the persons in doctor A should be stored in private chain M of the hospital.
And S3, calculating the storage space ratio of each private chain node in the private chain of the hospital, and selecting the private chain node with the highest storage space ratio to obtain the priority storage chain node.
It should be explained that, the private chain of the hospital is composed of a plurality of groups of private chain nodes, wherein each group of private chain nodes has a capacity, so that the storage space ratio of each private chain node needs to be calculated, and the optimal private chain node is selected for storing the serialized medical information according to the embodiment of the invention.
In detail, the calculating the storage space ratio of each private chain node in the private chain of the hospital includes:
receiving a preset time starting point for calculating the storage space ratio, and determining the treatment time as a time ending point;
calculating a time period according to the time starting point and the time ending point, and acquiring a history storage record of each private chain node in the time period, wherein the history storage record comprises a data size value of each history serialized medical information and a corresponding storage time consumption value;
constructing a storage efficiency function of each private chain node according to the data size value and the storage time consumption value;
taking the serialized medical information as a parameter of the storage efficiency function, and calculating to obtain a corresponding storage time consumption value;
and calculating the ratio of the serialized medical information to the stored time consumption value to obtain the storage space ratio.
Illustratively, if the visit time is 2022, 11, 18, and the preset time starting point is 2022, 1, then the time period is 2022, 1, 2022, 11, 18. Thus, the historical storage record of each private chain node is sequentially acquired in the time period, for example, there are 20 private chain nodes in a private chain of a hospital, wherein each private chain node is likely to receive the serialized medical information transmitted by many hospitals, so the serialized medical information received during the period from 1 st month in 2022 to 11 th month in 2022 is called a historical storage record, and the data size value of each historical serialized medical information and the corresponding storage time consumption value are stored together in the time period, for example, the first private chain node stores 100 groups of serialized medical information in a coexisting manner in the time period, wherein the data size value of the 20 th serialized medical information is 20M, the data size value of the 21 st serialized medical information is 15M, the storage time consumption value is 20 seconds and the like.
Therefore, according to the data size values of all the serialized medical information and the corresponding storage time consumption values of each private chain node in the time period, the storage efficiency function can be correspondingly constructed.
In detail, the constructing a storage efficiency function of each private chain node according to the data size value and the storage time consumption value includes:
and taking the data size value as an independent variable, and fitting the independent variable and the dependent variable to obtain the storage efficiency function after taking the storage time consumption value as the dependent variable.
It should be explained that, in the embodiment of the present invention, the independent variable and the dependent variable are fitted by using a tool such as MATLAB, python, it is understood that the storage efficiency function may be a primary function, a secondary function, a trigonometric function, and the like, and needs to be determined according to a specific fitting result.
Further, after the storage efficiency function of each private chain node is obtained by calculation, taking the serialized medical information as the storage efficiency function of each private chain node as a reference, calculating to obtain a corresponding storage time consumption value, finally calculating the ratio of the two to obtain the storage space ratio of each private chain node, and selecting the private chain node with the highest storage space ratio as the priority storage chain node.
And S4, verifying the legality of the serialized medical information according to the signature of the serialized medical information, and uploading the serialized medical information to a priority storage chain node when the legality verification of the serialized medical information passes.
In detail, the verifying the validity of the serialized medical information according to the signature of the serialized medical information includes:
acquiring a private hospital key stored in the hospital, and calculating a public hospital key of the private hospital key according to the signature of the doctor in the hospital;
inputting the hospital public key into the priority storage chain node, and generating an instruction to be stored after the priority storage chain node successfully receives the hospital public key;
and starting a key verification node of the private chain of the hospital by using the instruction to be stored, and driving the key verification node to verify the validity of the public key of the hospital.
It should be explained that the signature of the doctor generally has unique characteristics, and the signatures of each doctor have great differences, so that the embodiment of the invention does not use the same set of private key and public key in a unified solidification way, but intelligently generates the public key private key matched with the signature of the doctor according to the signature of each doctor. It should be emphasized that the private hospital keys and the doctors in the hospital have a one-to-one correspondence, that is, each doctor in the hospital distributes different private hospital keys, and the length of the private hospital keys is at least 32 bits, so that the corresponding private hospital keys can be obtained only under the condition of triple verification of face identification, fingerprint identification and iris identification of the doctor in the hospital.
In detail, the calculating the public hospital key of the private hospital key according to the signature of the doctor in the doctor-seeing hospital includes:
acquiring a signature of a doctor who makes a doctor in the doctor-making hospital, wherein the signature is an image type, namely a signature image;
constructing an image coordinate system, wherein the lower left corner of the signature image is the origin of the image coordinate system;
determining boundary points of a signature image in an image coordinate system, wherein the boundary points are 4 in total, the 1 st boundary point is the position of the stroke closest to the original point in the signature image, the 2 nd boundary point is the position of the stroke farthest from the original point in the signature image, the 3 rd boundary point is the position of the lower right corner of the signature image, and the 4 th boundary point is the position of the upper left corner of the signature image;
determining a signature boundary center point D (x, y) according to the 4 boundary points, wherein the calculation method of the abscissa x and the ordinate y of the signature boundary center point D (x, y) comprises the following steps:
wherein ,mean value of the abscissa representing the 1 st boundary point and the 2 nd boundary point, +.>Mean value representing the ordinate of the 1 st boundary point and the ordinate of the 2 nd boundary point,/>Mean value of the abscissa representing the 3 rd boundary point and the abscissa representing the 4 th boundary point,/>Representing the mean of the ordinate of the 3 rd boundary point and the ordinate of the 4 th boundary point,mean value of the abscissa representing 4 boundary points, +.>Mean value of ordinate representing 4 boundary points, κ 1 Is the abscissa intercept of the center point of the signature boundary, beta 1 ,β 2 Represent weight value, κ 2 Is the ordinate intercept of the center point of the signature boundary;
performing hash operation on the signature boundary center point to obtain a signature hash value;
and calculating the public hospital key according to the signature hash value and the private hospital key.
Further, the calculating to obtain the public key of the hospital according to the signature hash value and the private key of the hospital includes:
pk i ＝Sk i G
wherein ,pki Hospital public key Sk representing ith hospital visit i The private hospital key of the ith treatment hospital is represented, and G represents the signature hash value of the doctor of the ith treatment hospital.
Illustratively, the doctor of the small doctor is a Zhao doctor, so the Zhao doctor uploads the signature image written by himself, and then determining 4 boundary points in the signature, such as the position of the stroke closest to the origin of the coordinate system, the position farthest from the origin of the coordinate system, and the like, according to the signature image of the Zhao doctor. And then the hospital public keys corresponding to the Zhao doctors are determined through hash operation.
Further, the private chain of the hospital further comprises a key verification node, wherein the key verification node is mainly used for verifying the validity of the public key of the hospital generated each time, because the key verification node prestores the range interval of the public key of the hospital generated by each doctor according to the handwritten signature, and when the public key of the hospital generated by the doctor belongs to the range interval of the public key of the hospital stored by the key verification node, the validity is verified.
S5, after the serialized medical information is successfully uploaded to the priority storage chain node, generating a broadcast instruction of the serialized medical information by utilizing the priority storage chain node, and transmitting the broadcast instruction to other private chain nodes.
It should be explained that the main purpose of the broadcast instruction is to notify other private chain nodes, and a piece of serialized medical information is newly received in the priority storage chain node, and may have a part of the serialized medical information disclosed, so as to help other medical staff, medical doctors and scientific researchers learn to use the serialized medical information.
And S6, after receiving the broadcast instruction, other private chain nodes acquire publicable information determined by other private chain nodes according to the serialized medical information, and medical public information is obtained.
It will be appreciated that when each private link point receives a broadcast instruction, the node personnel responsible for maintenance, administration, audit, etc. of that private link node will access the priority storage link node to determine publicable information of the serialized medical information of the priority storage link node.
In detail, the obtaining the public information determined by the other private link points according to the serialized medical information to obtain the medical public information includes:
driving other private link points to access the serialized medical information of the priority storage link node, wherein the other private link nodes have only reading function on the serialized medical information;
and packaging and summarizing the determined publicable information after reading the serialized medical information by other private link points to obtain the medical public information.
It can be understood that, because the other private chain nodes and the priority storage chain node are both located in the same private chain of the hospital, the data access between the other private chain nodes is convenient and fast, but for the safety of the serialized medical information, the other private chain nodes have only reading function for the serialized medical information. It should be explained that the public information does not include the doctor, the hospital, the doctor, etc., and the general public information may include the detection result, the medicine taking information, etc.
And S7, storing the medical public information into a hospital public chain to finish medical information sharing.
It can be understood that the public chain of the hospital is similar to the private chain of the hospital in structure, but the private chain of the hospital only allows the staff of the hospital to visit and operate, and the security level is higher, but the public chain of the hospital not only barely faces the staff of the hospital, but also faces patients, scientific research workers and the like, and the staff can visit the public chain of the hospital only by face recognition or fingerprint recognition and the like.
In order to solve the problems described in the background art, the embodiment of the invention firstly receives the treatment data of a doctor in a treatment hospital, performs serialization operation on the treatment data to generate one-to-one correspondence of the doctor and the hospital, generates serialization medical information, wherein the main purpose of the serialization medical information is to improve the sharing efficiency of subsequent medical information, further, extracts the treatment hospital of the serialization medical information, determines the belonging hospital private chain according to the treatment hospital, and mainly stores the serialization medical information, so that the hospital private chain mainly considers the safety and the storage efficiency, therefore, the embodiment of the invention calculates the storage space ratio of each private chain node in the hospital private chain, selects the private chain node with the highest storage space ratio, obtains the priority storage chain node according to the signature of the serialization medical information, verifying the validity of the serialized medical information, uploading the serialized medical information to a priority storage chain node when the validity of the serialized medical information is verified, determining the priority storage chain node according to the storage space ratio, thereby improving the safety and storage efficiency of the serialized medical information in the storage process of a private chain of a hospital, finally, generating a broadcasting instruction of the serialized medical information by using a priority storage chain node after the serialized medical information is successfully uploaded to the priority storage chain node, transmitting the broadcasting instruction to other private chain nodes, and acquiring publicable information determined by other private chain nodes according to the serialized medical information after the other private chain nodes receive the broadcasting instruction, thereby obtaining medical public information, wherein the medical public information is invading privacy after the privacy information and other unpublishable factors are considered, the medical information of factors such as safety can be stored in a public chain of a hospital for study of patients, scientific researchers and medical institutions of doctors. Therefore, the medical information sharing method, the device, the electronic equipment and the computer readable storage medium based on intelligent medical treatment can improve the sharing range of medical information sharing.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (9)
1. A medical information sharing method based on smart medical treatment, the method comprising:
receiving the treatment data of a person in treatment at a treatment hospital, and executing serialization operation on the treatment data to generate serialized medical information corresponding to the person in treatment-hospital one by one, wherein the serialized medical information is represented as follows:
T ij ＝(T n ，T t ，T s ，T c )
wherein ,Tij Serialized medical information representing the jth visit in the ith visit hospital, T n Representing the total number, T, of serialized medical information generated by the jth physician in the ith hospital visit in the history t Representing the time of the j-th visit, T s A signature representing a doctor who performs diagnosis on the jth doctor in the jth doctor and the ith doctor in the hospital, T c Structured visit data generated from the visit data of the jth visit person at the ith visit hospital;
extracting the medical treatment hospitals of the serialized medical information, and determining the affiliated hospital private chain according to the medical treatment hospitals;
calculating the storage space ratio of each private chain node in the private chain of the hospital, and selecting the private chain node with the highest storage space ratio to obtain a priority storage chain node, wherein the calculation process of the storage space ratio comprises the following steps:
receiving a preset time starting point for calculating the storage space ratio, and determining the treatment time as a time ending point;
calculating a time period according to the time starting point and the time ending point, and acquiring a history storage record of each private chain node in the time period, wherein the history storage record comprises a data size value of each history serialized medical information and a corresponding storage time consumption value;
constructing a storage efficiency function of each private chain node according to the data size value and the storage time consumption value;
taking the serialized medical information as a parameter of the storage efficiency function, and calculating to obtain a corresponding storage time consumption value;
calculating the ratio of the serialized medical information to the stored time consumption value to obtain the storage space ratio;
verifying the legality of the serialized medical information according to the signature of the serialized medical information, and uploading the serialized medical information to a priority storage chain node when the legality verification of the serialized medical information passes;
after the serialized medical information is successfully uploaded to the priority storage chain node, generating a broadcasting instruction of the serialized medical information by utilizing the priority storage chain node, and transmitting the broadcasting instruction to other private chain nodes;
after receiving the broadcast instruction, other private chain nodes acquire publicable information determined by other private chain nodes according to the serialized medical information, and medical public information is obtained;
and storing the medical public information into a hospital public chain to finish medical information sharing.
2. The smart medical-based medical information sharing method of claim 1, wherein the performing a serialization operation on the visit data generates a one-to-one correspondence of the visit to the hospital, comprising:
performing a splitting operation on the visit data, wherein the splitting operation comprises:
running a pre-constructed structured diagnosis program to generate a structured empty diagnosis list, wherein the list head of the structured empty diagnosis list sequentially comprises a diagnosis person, a diagnosis doctor, a diagnosis hospital, a diagnosis time, a diagnosis project participated by the diagnosis person, a diagnosis result of the diagnosis doctor and a medicine set of the diagnosis person;
sequentially filling the diagnosis data into the structured empty diagnosis list according to the header of the structured empty diagnosis list to obtain structured diagnosis data;
acquiring the total number of historical treatment data according to the corresponding relation between the treatment person and the treatment hospital;
acquiring signatures of a doctor and a doctor from a database of the doctor-seeing hospital;
the serialized medical information is generated in the order of the total number of medical visits, the time of the medical visit, the signature of the visit and the doctor of the medical visit, and the structured medical visit data.
3. The smart medical-based medical information sharing method of claim 2, wherein the step of extracting the medical information of the serial treatment hospital and determining the belonging hospital private chain from the medical treatment hospital comprises:
extracting a treatment hospital from the structured treatment data of the serialized medical information, wherein the treatment hospital comprises a treatment hospital name, a treatment hospital network address and an access account number of a treatment hospital access hospital private chain;
verifying the validity of the network address of the hospital to be treated, traversing all the private chains of the hospital including the name of the hospital to be treated when the network address is legal, logging in each private chain of the hospital in turn according to the access account number, and determining the private chain of the hospital which is successfully logged in as the private chain of the hospital to which the hospital to be treated belongs.
4. The smart medical based medical information sharing method as claimed in claim 3, wherein constructing a storage efficiency function of each private chain node according to the data size value and the storage time consumption value comprises:
and taking the data size value as an independent variable, and after taking the storage time consumption value as a dependent variable, fitting the independent variable and the dependent variable to obtain the storage efficiency function, wherein a fitting tool comprises MATLAB, python.
5. The smart medical-based medical information sharing method of claim 4, wherein verifying the validity of the serialized medical information based on the signature of the serialized medical information comprises:
acquiring a private hospital key stored in the hospital, and calculating a public hospital key of the private hospital key according to the signature of the doctor in the hospital;
inputting the hospital public key into the priority storage chain node, and generating an instruction to be stored after the priority storage chain node successfully receives the hospital public key;
and starting a key verification node of the private chain of the hospital by using the instruction to be stored, and driving the key verification node to verify the validity of the public key of the hospital.
6. The smart medical-based medical information sharing method of claim 5, wherein the calculating the hospital public key of the hospital private key according to the signature of the doctor hospital comprises:
acquiring a signature of a doctor who makes a doctor in the doctor-making hospital, wherein the signature is an image type, namely a signature image;
constructing an image coordinate system, wherein the lower left corner of the signature image is the origin of the image coordinate system;
determining boundary points of a signature image in an image coordinate system, wherein the boundary points are 4 in total, the 1 st boundary point is the position of the stroke closest to the original point in the signature image, the 2 nd boundary point is the position of the stroke farthest from the original point in the signature image, the 3 rd boundary point is the position of the lower right corner of the signature image, and the 4 th boundary point is the position of the upper left corner of the signature image;
determining a signature boundary center point D (x, y) according to the 4 boundary points, wherein the calculation method of the abscissa x and the ordinate y of the signature boundary center point D (x, y) comprises the following steps:
wherein ,mean value of the abscissa representing the 1 st boundary point and the 2 nd boundary point, +.>Mean value representing the ordinate of the 1 st boundary point and the ordinate of the 2 nd boundary point,/>Mean value of the abscissa representing the 3 rd boundary point and the abscissa representing the 4 th boundary point,/>Mean value representing the ordinate of the 3 rd boundary point and the ordinate of the 4 th boundary point,/>Mean value of the abscissa representing 4 boundary points, +.>Mean value of ordinate representing 4 boundary points, κ 1 For the center of the signature boundaryThe abscissa intercept of a point beta 1 ,β 2 Represent weight value, κ 2 Is the ordinate intercept of the center point of the signature boundary;
performing hash operation on the signature boundary center point to obtain a signature hash value;
and calculating the public hospital key according to the signature hash value and the private hospital key.
7. The smart medical based medical information sharing method of claim 6, wherein the calculating the public hospital key according to the signed hash value and the private hospital key comprises:
pk i ＝Sk i G
wherein ,pki Hospital public key Sk representing ith hospital visit i The private hospital key of the ith treatment hospital is represented, and G represents the signature hash value of the doctor of the ith treatment hospital.
8. The smart medical-based medical information sharing method as claimed in claim 7, wherein the acquiring the publicable information determined by other private link points according to the serialized medical information to obtain the medical publicable information comprises:
driving other private link points to access the serialized medical information of the priority storage link node, wherein the other private link nodes have only reading function on the serialized medical information;
and packaging and summarizing the determined publicable information after reading the serialized medical information by other private link points to obtain the medical public information.
9. The smart medical based medical information sharing method of claim 8, wherein the storage efficiency function comprises one or more of a primary function, a secondary function, and a trigonometric function.
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