CN115985436A - 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 hospital private chain to which a hospital belongs according to a hospital for visiting, calculating a storage space ratio of each private chain node in the hospital private chain, selecting the 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 broadcast 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, sending the broadcast instruction to other private chain nodes, obtaining public information determined by other private chain nodes according to the serialized medical information by using other private chain nodes after the other private chain nodes receive the broadcast instruction, obtaining medical public information, storing the medical public information to the hospital public chain, and finishing 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
With the advancement of informatization of the medical industry, the medical field has entered a big data era, but still faces many challenges in the opposition of privacy protection and data sharing, namely how to achieve the purpose of sharing medical data under the condition of effectively protecting the privacy of the patients, the hospitals and doctors, etc., thereby improving the progress of the medical field.
At present, the medical information sharing method mainly relies on a blockchain technology, that is, medical data of each hospital are uploaded to a unified blockchain, and when other legal users of the blockchain need to know the data, the blockchain is accessed and all the 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 block chain are qualified to access the medical information, and other users not belonging to the block chain cannot access the medical information.
Disclosure of Invention
The invention provides a medical information sharing method based on intelligent medical treatment, and 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 patient in a treatment hospital, and performing serialization operation on the treatment data to generate the serialized medical information corresponding to the patient and the hospital one to one, wherein the serialized medical information is represented as:
T ij ＝(T n ，T t ，T s ，T c )
wherein ,Tij Serialized medical information, T, representing the jth patient of the ith patient hospital n Indicates the total amount of serialized medical information, T, generated in the historical record by the jth patient in the ith patient hospital t Represents the visit time, T, of the jth visit person s Showing the jth doctor who has a diagnosis on the jth doctor in the jth and ith hospitalsSignature, T c Structured visit data generated for the visit data of the jth visit according to the visit person at the ith visit hospital;
extracting the clinic hospitals of the serialized medical information, and determining the private chains of the hospitals according to the clinic hospitals;
calculating the storage space ratio of each private chain node in the hospital private chain, and selecting the private chain node with the highest storage space ratio to obtain a priority storage chain node;
verifying the validity 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 validity of the serialized medical information is verified;
after the serialized medical information is successfully uploaded to the priority storage link node, generating a broadcast instruction of the serialized medical information by using the priority storage link node, and sending the broadcast instruction to other private link nodes;
when other private chain nodes receive the broadcast instruction, the publicable information determined by the other private chain nodes according to the serialized medical information is obtained, and the medical public information is obtained;
and storing the medical public information to a hospital public chain to finish medical information sharing.
Optionally, the performing a serialization operation on the visit data to generate serialized medical information corresponding to the visit person-hospital one-to-one includes:
executing splitting operation on the visit data, wherein the splitting operation comprises the following steps:
operating a pre-constructed structured treatment program to generate a structured air treatment list, wherein the head of the structured air treatment list sequentially comprises a patient, a doctor, a hospital, a treatment time, examination items participated by the patient, a diagnosis result of the doctor and a medicine set of the patient;
filling the clinic data into the structured air clinic list in sequence according to the header of the structured air clinic list to obtain structured clinic data;
acquiring the total amount of historical clinic data according to the corresponding relation between the clinic persons and the clinic hospitals;
acquiring signatures of a doctor and a patient from a database of the hospital;
and generating the serialized medical information according to the total number of the visit data, the visit time, the signatures of the doctor and the sequence of the structured visit data.
Optionally, the extracting the visit hospital of the serialized medical information and determining the private chain of the hospital according to the visit hospital includes:
extracting a clinic hospital from the structured clinic data of the serialized medical information, wherein the clinic hospital comprises a clinic hospital name, a clinic network address and an access account number of a hospital private chain for visiting the clinic hospital;
and verifying the legality of the network address of the hospital to be diagnosed, traversing all hospital private chains including the name of the hospital to be diagnosed when the network address is legal, sequentially logging in each hospital private chain according to the access account, and determining that the successfully logged-in hospital private chain is the hospital private chain to which the hospital to be diagnosed belongs.
Optionally, the calculating a storage space ratio of each private chain node in the hospital private chain includes:
receiving a preset time starting point for calculating the storage space ratio, and determining the visit time as a time ending point;
calculating a time period according to the time starting point and the time ending point, and acquiring a historical storage record of each private chain node in the time period, wherein the historical storage record comprises a data size value and a corresponding storage time consumption value of each historical serialized medical information;
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 storage time consumption value to obtain the storage space ratio.
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 fitting the independent variable and the dependent variable to obtain the storage efficiency function after the data size value is used as the independent variable and the storage time consumption value is used as the dependent variable, wherein a fitting tool comprises MATLAB and Python.
Optionally, the verifying the validity of the serialized medical information according to the signature of the serialized medical information includes:
acquiring a hospital private key stored in the hospital visiting hospital, and calculating a hospital public key of the hospital private key according to the signature of the doctor visiting the hospital;
inputting a hospital public key into the priority storage chain node, and generating a command to be stored after the priority storage chain node successfully receives the hospital public key;
and starting a key verification node of the hospital private chain by using the instruction to be stored, and driving the key verification node to verify the validity of the hospital public key.
Optionally, the calculating a hospital public key of the hospital private key according to the signature of the doctor of the hospital includes:
acquiring a signature of a doctor in the 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 the signature image in an image coordinate system, wherein 4 boundary points are provided in total, the 1 st boundary point is the position of the stroke in the signature image closest to the origin, the 2 nd boundary point is the position of the stroke in the signature image furthest from the origin, 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 abscissa x and the ordinate y of the signature boundary center point D (x, y) are calculated by the following method:
wherein ,
represents the mean of the abscissa of the 1 st boundary point and the abscissa of the 2 nd boundary point, < >>
Represents the mean value of the ordinate of the 1 st boundary point and the ordinate of the 2 nd boundary point, < >>
Represents the mean of the abscissa of the 3 rd boundary point and the abscissa of the 4 th boundary point, <' >>
Represents the mean of the ordinate of the 3 rd boundary point and the ordinate of the 4 th boundary point,
represents the mean value of the abscissa of the 4 boundary points, < >>
Mean value of ordinate, κ, representing 4 boundary points 1 Is the abscissa intercept, beta, of the center point of the signature boundary 1 ,β 2 Denotes a weight value, κ 2 Is the vertical coordinate intercept of the center point of the signature boundary;
performing hash operation on the signature boundary central point to obtain a signature hash value;
and calculating to obtain a hospital public key according to the signature hash value and the hospital private key.
Optionally, the calculating to obtain the hospital public key according to the signature hash value and the hospital private key includes:
pk i ＝Sk i G
wherein ,pki Hospital public key, sk, representing the ith visit hospital i The private key of the hospital in the ith hospital is represented, and the signature hash value of the doctor in the ith hospital is represented by G.
Optionally, the obtaining public information of other private link points determined according to the serialized medical information to obtain the medical public information includes:
driving other private chain nodes to access the serialized medical information of the priority storage chain node, wherein the other private chain nodes only have a reading function for the serialized medical information;
and packaging and summarizing the public information determined after other private chain nodes read the serialized medical information to obtain the medical public information.
Optionally, the storage efficiency function includes a first order function, a second order function, and a trigonometric function.
In order to solve the problems in the background art, in the embodiment of the invention, firstly, the visit data of a doctor in a visit hospital is received, serialization operation is performed on the visit data, serialized medical information corresponding to the doctor and the hospital one to one is generated, wherein the serialized medical information is mainly used for improving the subsequent medical information sharing efficiency, furthermore, the visit hospital of the serialized medical information is extracted, the hospital private chain is determined according to the visit hospital, the serialized medical information is mainly stored according to the main purpose of the hospital private chain, and therefore the hospital private chain mainly considers the safety and the storage efficiency Safety and other medical information can be stored in a hospital public chain for study and use of patients, scientific research personnel and doctors and medical institutions. Therefore, the medical information sharing method, the medical information sharing device, the electronic equipment and the computer readable storage medium based on the intelligent medical treatment can improve the sharing range of medical information sharing.
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Fig. 1 is a flowchart illustrating a method for sharing medical information based on smart medical treatment according to an embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Fig. 1 is a schematic flow chart illustrating a medical information sharing method based on smart medical treatment according to an embodiment of the present invention. In this embodiment, the method for sharing medical information based on smart medical treatment includes:
s1, receiving the treatment data of a patient in a treatment hospital, and performing serialization operation on the treatment data to generate one-to-one serialized medical information of the patient and the hospital.
It should be explained that the data of the patient in the hospital is generally stored in the working computer of the hospital, so the data can be directly obtained from the working computer. Illustratively, a small sheet of recent physical discomfort comes to a local hospital for hanging a doctor, drawing blood, taking medicine, etc., thereby generating visit data. It is understood that the visit data includes personal information of the small sheets, various kinds of examination information, medicine taking information, and the like.
Since the information of the doctor is relatively disordered and is not beneficial to the subsequent medical information sharing, the serialization operation needs to be executed, and the serialized medical information with the uniform format type is formed. In detail, the performing a serialization operation on the visit data to generate serialized medical information corresponding to the person-hospital one-to-one, includes:
performing a splitting operation on the visit data, wherein the splitting operation comprises:
operating a pre-constructed structured treatment program to generate a structured air treatment list, wherein the head of the structured air treatment list sequentially comprises a patient, a doctor, a hospital, a treatment time, examination items participated by the patient, a diagnosis result of the doctor and a medicine set of the patient;
filling the clinic data into the structured air clinic list in sequence according to the header of the structured air clinic list to obtain structured clinic data;
acquiring the total amount of historical clinic data according to the corresponding relation between the clinic persons and the clinic hospitals;
acquiring signatures of a doctor and a patient from a database of the hospital;
and generating the serialized medical information according to the total number of the visit data, the visit time, the signatures of the doctor and the sequence of the structured 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, T, representing the jth patient of the ith patient hospital n Indicates the total amount of serialized medical information, T, generated in the historical record by the jth patient in the ith patient hospital t Represents the visit time, T, of the jth visit person s The signatures T of the jth and the doctors who diagnose the jth doctor in the ith hospital c Structured visit data generated for the visit data from the jth visit at the ith hospital from the jth visit.
And S2, extracting the clinic hospitals of the serialized medical information, and determining the private chain of the hospital according to the clinic 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, a person which is not authenticated by a hospital cannot access the medical information in the hospital private chain. And the second step is that the medical information which can be publicly shared is selectively selected from the serialized medical information stored in the hospital private chain and is stored in the hospital public chain.
In detail, the extracting of the visit hospital of the serialized medical information and the determining of the belonging hospital private chain according to the visit hospital comprise:
extracting a clinic hospital from the structured clinic data of the serialized medical information, wherein the clinic hospital comprises a clinic hospital name, a clinic network address and an access account number of a hospital private chain for visiting the clinic hospital;
and verifying the legality of the network address of the hospital to be diagnosed, traversing all hospital private chains including the name of the hospital to be diagnosed when the network address is legal, sequentially logging in each hospital private chain according to the access account, and determining that the successfully logged-in hospital private chain is the hospital private chain to which the hospital to be diagnosed belongs.
Illustratively, the doctor a who visits a small office is affiliated with the hospital private chain M, and thus the visit data of all the visitors in the doctor a should be stored to the hospital private chain M.
And S3, calculating the storage space ratio of each private chain node in the hospital private chain, and selecting the private chain node with the highest storage space ratio to obtain a priority storage chain node.
It should be explained that the hospital private chain is composed of multiple sets of private chain nodes, where each set of private chain nodes has a storage capability, and therefore, the storage space ratio of each private chain node needs to be calculated, so as to select an optimal private chain node for storing the serialized medical information described in the embodiment of the present invention.
In detail, the calculating the storage space ratio of each private chain node in the hospital private chain includes:
receiving a preset time starting point for calculating the storage space ratio, and determining the visit time as a time ending point;
calculating a time period according to the time starting point and the time ending point, and acquiring a historical storage record of each private chain node in the time period, wherein the historical storage record comprises a data size value and a corresponding storage time consumption value of each historical serialized medical information;
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 storage time consumption value to obtain the storage space ratio.
Illustratively, if the visit time is 2022 years, 11 months and 18 days, and the preset time starting point is 2022 years, 1 month and 1 day, the time period is determined to be from 2022 years, 1 month and 1 day to 2022 years, 11 months and 18 days. Therefore, for example, 20 private chain nodes are included in the hospital private chain, wherein each private chain node is likely to receive serialized medical information transmitted from a plurality of hospitals, and therefore the serialized medical information received during the period from 1 month to 18 months in 2022 is referred to as a history storage record, and the data size value and the corresponding storage time consumption value of each historical serialized medical information are, for example, 100 sets of serialized medical information coexist in the first private chain node in the time period, wherein the data size value of the 20 th serialized medical information is 20M, the storage time consumption value is 30 seconds, the data size value of the 21 st serialized medical information is 15M, the storage time consumption value is 20 seconds, and so on.
Therefore, the storage efficiency function can be correspondingly constructed according to the data size value and the corresponding storage time consumption value of all the serialized medical information of each private link node in the time period.
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 fitting the independent variable and the dependent variable to obtain the storage efficiency function after the data size value is used as the independent variable and the storage time consumption value is used 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 MATLAB, python, and other tools, and it is understood that the storage efficiency function may be a linear function, a quadratic 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 through calculation, the serialized medical information is used as the storage efficiency function of each private chain node to be entered, the corresponding storage time consumption value is obtained through calculation, the ratio of the two is finally calculated, the storage space ratio of each private chain node is obtained, and the private chain node with the highest storage space ratio is selected and is the priority storage chain node.
And S4, verifying the validity 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 validity of the serialized medical information is verified.
In detail, the verifying the validity of the serialized medical information according to the signature of the serialized medical information includes:
acquiring a hospital private key stored in the hospital visiting hospital, and calculating a hospital public key of the hospital private key according to the signature of the doctor visiting the hospital;
inputting the hospital public key into the priority storage chain node, and generating a command to be stored after the priority storage chain node successfully receives the hospital public key;
and starting a key verification node of the hospital private chain by using the instruction to be stored, and driving the key verification node to verify the validity of the hospital public key.
It should be noted that the signatures of the doctors generally have unique characteristics, and the signatures of each doctor have great difference, so that the embodiment of the present invention does not use the same set of private key and public key in a unified manner, but intelligently generates a public key and a private key matched with the signature of each doctor according to the signature of each doctor. And it should be emphasized that the hospital private key and the doctors have a one-to-one correspondence relationship, that is, each doctor in the hospital is distributed with a different hospital private key, and the length of the hospital private key is at least 32 bits, so that the corresponding hospital private key can be obtained only under the triple verification of face identification, fingerprint identification and iris identification of the doctor.
In detail, the calculating the hospital public key of the hospital private key according to the signature of the doctor of the hospital comprises:
acquiring a signature of a doctor in the hospital, wherein the signature is an image type, and is 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 the signature image in an image coordinate system, wherein 4 boundary points are provided in total, the 1 st boundary point is the position of the stroke in the signature image closest to the origin, the 2 nd boundary point is the position of the stroke in the signature image furthest from the origin, 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 ,
means representing the mean of the abscissa of the 1 st boundary point and the abscissa of the 2 nd boundary point, and->
Represents the mean value of the ordinate of the 1 st boundary point and the ordinate of the 2 nd boundary point, < >>
Means representing the mean of the abscissa of the 3 rd boundary point and the abscissa of the 4 th boundary point, and->
Represents 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 the 4 boundary points, in conjunction with a predetermined criterion>
Mean value of ordinate, κ, representing 4 boundary points 1 Is the abscissa intercept, beta, of the center point of the signature boundary 1 ,β 2 Denotes a weight value, κ 2 Is the vertical coordinate intercept of the center point of the signature boundary;
performing hash operation on the signature boundary central point to obtain a signature hash value;
and calculating to obtain a hospital public key according to the signature hash value and the hospital private key.
Further, the calculating to obtain the hospital public key according to the signature hash value and the hospital private key includes:
pk i ＝SK i G
wherein ,pki Hospital public key, sk, representing the ith visit hospital i The private key of the hospital in the ith hospital is represented, and the signature hash value of the doctor in the ith hospital is represented by G.
For example, the above-mentioned small-size doctor is a Zhao doctor, so that the Zhao doctor uploads a signature image handwritten by himself, and further determines 4 boundary points in total, such as a position closest to an origin of a coordinate system and a position farthest from the origin of the coordinate system, in the signature according to the signature image of the Zhao doctor. And then determining the hospital public key corresponding to the Zhao doctor through Hash operation.
Further, the hospital private chain further comprises a key verification node, wherein the key verification node is mainly used for verifying the validity of the hospital public key generated each time, a range interval of the hospital public key generated by each doctor according to a handwritten signature is stored in the key verification node in advance, and when the hospital public key generated by the current Zhao doctor belongs to the range interval of the hospital public key stored by the key verification node, the validity of the hospital public key is proved.
And 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 using the priority storage chain node, and sending the broadcast instruction to other private chain nodes.
It should be explained that the main purpose of the broadcast instruction is to inform other private chain nodes that a piece of serialized medical information is newly received in the priority storage chain node, and that a part of the serialized medical information may be disclosed to help other medical personnel, medical doctors and scientific research workers to learn and use.
And S6, after other private chain nodes receive the broadcast instruction, the public information determined by the other private chain nodes according to the serialized medical information is obtained, and the medical public information is obtained.
It can be understood that when each private chain node receives the broadcast instruction, the node personnel responsible for the maintenance, management and audit examination of the private chain node can access the priority storage chain node, so as to judge the publicable information of the serialized medical information of the priority storage chain node.
In detail, the obtaining of 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 chain nodes to access the serialized medical information of the priority storage chain node, wherein the other private chain nodes only have a reading function for the serialized medical information;
and packaging and summarizing the determined public information after other private chain nodes read the serialized medical information to obtain the medical public information.
It can be understood that, because other private chain nodes and the priority storage chain node are both located in the same hospital private chain, 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 only have a reading function for the serialized medical information. And it should be explained that the publicable information does not include the patient, the hospital, the doctor, etc., and the general publicable information may include the test result, the medicine taking information, etc.
And S7, storing the medical public information to a hospital public chain to finish medical information sharing.
It can be understood that the hospital public chain is similar to the hospital private chain in structure, but the difference is that the hospital private chain only allows access and operation of hospital staff, and the security level is higher, while the hospital public chain not only reluctant the hospital staff, but also faces patients, researchers, and the like, and such people only need face recognition or fingerprint recognition to access the hospital public chain.
In order to solve the problems in the background art, in the embodiment of the invention, firstly, the visit data of a doctor in a visit hospital is received, serialization operation is performed on the visit data, serialized medical information corresponding to the doctor and the hospital one to one is generated, wherein the serialized medical information is mainly used for improving the subsequent medical information sharing efficiency, furthermore, the visit hospital of the serialized medical information is extracted, the hospital private chain is determined according to the visit hospital, the serialized medical information is mainly stored according to the main purpose of the hospital private chain, and therefore the hospital private chain mainly considers the safety and the storage efficiency Safety and other medical information can be stored in a hospital public chain for study and use of patients, scientific research personnel and doctors and medical institutions. Therefore, the medical information sharing method, the medical information sharing device, the electronic equipment and the computer readable storage medium based on the intelligent medical treatment can improve the sharing range of medical information sharing.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A medical information sharing method based on intelligent medical treatment is characterized by comprising the following steps:
receiving the treatment data of a patient in a treatment hospital, and performing serialization operation on the treatment data to generate the serialized medical information corresponding to the patient and the hospital one to one, wherein the serialized medical information is represented as:
T ij ＝(T n ，T t ，T s ，T c )
wherein ,Tij Serialized medical information, T, representing the jth patient of the ith patient hospital n Indicates the total amount of serialized medical information, T, generated in the historical record by the jth patient in the ith patient hospital t Represents the visit time, T, of the jth visit person s The signatures T of the jth and the doctors who diagnose the jth doctor in the ith hospital c The structured attendance data is generated according to the attendance data of the jth patient in the ith hospital;
extracting the clinic hospitals of the serialized medical information, and determining the private chains of the hospitals according to the clinic hospitals;
calculating the storage space ratio of each private chain node in the hospital private chain, and selecting the private chain node with the highest storage space ratio to obtain a priority storage chain node;
verifying the validity 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 validity of the serialized medical information is verified;
after the serialized medical information is successfully uploaded to the priority storage link node, generating a broadcast instruction of the serialized medical information by using the priority storage link node, and sending the broadcast instruction to other private link nodes;
when other private chain nodes receive the broadcast instruction, the publicable information determined by the other private chain nodes according to the serialized medical information is obtained, and the medical public information is obtained;
and storing the medical public information to a hospital public chain to finish medical information sharing.
2. The intelligent medical treatment-based medical information sharing method according to claim 1, wherein the performing a serialization operation on the visit data to generate the one-to-one correspondence serialized medical information of the visit person and the hospital comprises:
performing a splitting operation on the visit data, wherein the splitting operation comprises:
operating a pre-constructed structured treatment program to generate a structured air treatment list, wherein the head of the structured air treatment list sequentially comprises a patient, a doctor, a hospital, a treatment time, examination items participated by the patient, a diagnosis result of the doctor and a medicine set of the patient;
according to the head of the structured empty medical examination sheet, filling the medical examination data into the structured empty medical examination sheet in sequence to obtain structured medical examination data;
acquiring the total amount of historical clinic data according to the corresponding relation between the clinic persons and the hospital;
acquiring signatures of a doctor and a patient from a database of the hospital;
and generating the serialized medical information according to the total number of the visit data, the visit time, the signatures of the doctor and the sequence of the structured visit data.
3. The intelligent medical-treatment-based medical information sharing method according to claim 2, wherein the extracting of the visiting hospital of the serialized medical information and the determining of the private chain of the hospital according to the visiting hospital comprise:
extracting the medical treatment hospitals from the structured medical treatment data of the serialized medical treatment information, wherein the medical treatment hospitals comprise the names of the medical treatment hospitals, the network addresses of the medical treatment hospitals and the access account numbers of the private chains of the medical treatment hospitals;
and verifying the legality of the network address of the hospital to be diagnosed, traversing all hospital private chains including the name of the hospital to be diagnosed when the network address is legal, sequentially logging in each hospital private chain according to the access account, and determining that the successfully logged-in hospital private chain is the hospital private chain to which the hospital to be diagnosed belongs.
4. The intelligent medical-based medical information sharing method according to claim 1, wherein the calculating of the storage space ratio of each private chain node in the hospital private chain includes:
receiving a preset time starting point for calculating the storage space ratio, and determining the visit time as a time ending point;
calculating a time period according to the time starting point and the time ending point, and acquiring a historical storage record of each private chain node in the time period, wherein the historical storage record comprises a data size value and a corresponding storage time consumption value of each historical serialized medical information;
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 storage time consumption value to obtain the storage space ratio.
5. The method as claimed in claim 4, wherein the constructing a storage efficiency function of each private link node according to the data size value and the storage time consumption value comprises:
and fitting the independent variable and the dependent variable to obtain the storage efficiency function after the data size value is used as the independent variable and the storage time consumption value is used as the dependent variable, wherein a fitting tool comprises MATLAB and Python.
6. The smart medical-based medical information sharing method according to claim 5, wherein the verifying the validity of the serialized medical information based on the signature of the serialized medical information includes:
acquiring a hospital private key stored in the hospital visiting hospital, and calculating a hospital public key of the hospital private key according to the signature of the doctor visiting the hospital;
inputting a hospital public key into the priority storage chain node, and generating a command to be stored after the priority storage chain node successfully receives the hospital public key;
and starting a key verification node of the hospital private chain by using the instruction to be stored, and driving the key verification node to verify the validity of the hospital public key.
7. The method for sharing medical information based on smart medical treatment according to claim 6, wherein the calculating a hospital public key of the hospital private key according to the signature of the doctor in the hospital comprises:
acquiring a signature of a doctor in the hospital, wherein the signature is an image type, and is 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 the signature image in an image coordinate system, wherein 4 boundary points are provided in total, the 1 st boundary point is the position of the stroke in the signature image closest to the origin, the 2 nd boundary point is the position of the stroke in the signature image furthest from the origin, 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 abscissa x and the ordinate y of the signature boundary center point D (x, y) are calculated by the following method:
wherein ,
represents the mean of the abscissa of the 1 st boundary point and the abscissa of the 2 nd boundary point, < >>
Represents the mean value of the ordinate of the 1 st boundary point and the ordinate of the 2 nd boundary point, < >>
Represents the mean of the abscissa of the 3 rd boundary point and the abscissa of the 4 th boundary point, <' >>
Represents the mean of the ordinate of the 3 rd boundary point and the ordinate of the 4 th boundary point, and->
Represents the mean value of the abscissa of the 4 boundary points, < >>
Mean value of ordinate, κ, representing 4 boundary points 1 Is the abscissa intercept, beta, of the center point of the signature boundary 1 ,β 2 Represents a weight value, k 2 Is the vertical coordinate intercept of the center point of the signature boundary;
performing hash operation on the signature boundary central point to obtain a signature hash value;
and calculating to obtain a hospital public key according to the signature hash value and the hospital private key.
8. The method as claimed in claim 7, wherein the calculating a hospital public key according to the signature hash value and the hospital private key comprises:
pk i ＝Sk i G
wherein ,pki Hospital public key, sk, representing the ith visit hospital i The private key of the hospital of the ith hospital is represented, and the signature hash value of the doctor of the ith hospital is represented by G.
9. The method for sharing medical information based on smart medicine of claim 8, wherein the obtaining of the public information of other private nodes based on the public information determined by the serialized medical information to obtain the public information of medical treatment comprises:
driving other private chain nodes to access the serialized medical information of the priority storage chain node, wherein the other private chain nodes only have a reading function for the serialized medical information;
and packaging and summarizing the public information determined after other private chain nodes read the serialized medical information to obtain the medical public information.
10. The method as claimed in claim 9, wherein the storage efficiency function includes one or more of a first order function, a second order function and a trigonometric function.
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