CN117093880B - Single sign-on user management method and system based on medical integrated platform - Google Patents
Single sign-on user management method and system based on medical integrated platform Download PDFInfo
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Abstract
The invention relates to a single sign-on user management method and system based on a medical integrated platform. In the method, various login identity information of a user is received, similarity matching is carried out on the various login identity information and the existing identity information in the medical integrated platform based on a matching strategy, and if the similarity matching is successful, information merging and/or updating are carried out on the login identity information and the existing identity information successfully matched in the medical integrated platform; and if the similarity matching fails, recording the login identity information as new user identity information. Compared with the traditional matching mode, the matching method has stronger compatibility, and can conveniently adjust the matching weight value and the similarity matching threshold based on the matching result of big data so as to obtain a more accurate matching result. Flexible matching of similarity matching can be achieved, and user management efficiency is improved.
Description
Technical Field
The invention relates to the technical field of medical information, in particular to a single sign-on user management method and system based on a medical integrated platform.
Background
At present, in many large enterprises or institutions, especially in large-scale medical institutions, tens or hundreds of various application systems are operated, and user login information among the systems is different, so that the management of the user login information with great favor becomes an important link in the systems, and how to be compatible with the user login information among the systems, so that the identification and management of unique users are realized, and the problem to be solved is urgent. In order to improve the efficiency and uniformity of user management, a single sign-on technology is developed, and login authentication and quick switching among all application systems are realized through a unified integrated platform. However, at present, user management of Single Sign-On (SSO) can only be basically completed by a system administrator, and there are problems of complex access method, large workload and delayed information update, and users cannot synchronize to a platform in time after modifying users.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The technical problem to be solved by the application is to provide a single sign-on user management method based on a medical integrated platform, which has the characteristic of realizing user management more efficiently.
In a first aspect, in one embodiment, a single sign-on user management method based on a medical integrated platform is provided, including:
receiving login identity information of a user, wherein the login identity information of the user comprises at least two kinds of information of a login account, a login account password, a department mechanism, a job title, a name, a gender, a birthday, a telephone and an identity card number;
based on a matching strategy, similarity matching is carried out on the login identity information and the existing identity information in the medical integrated platform; the matching strategies comprise at least one type, and if one matching strategy is met in the similarity matching, the similarity matching is successful; for any one matching strategy, comprising: selecting at least two kinds of first identity information and second identity information in the existing identity information of the user, wherein the at least two kinds of first identity information and the second identity information are in one-to-one correspondence with a first identity information weight value and a second identity information weight value, and setting a similarity matching threshold value based on the corresponding weight values; similarity matching based on a matching policy includes: comparing the first identity information and the second identity information of at least two kinds of matching strategies with corresponding information in login identity information, if the first identity information and the second identity information are consistent with the corresponding information in login identity information, obtaining corresponding weight values, accumulating the weight values obtained by consistent comparison, judging whether the similarity matching threshold value of the matching strategies is reached, if so, successful similarity matching, and if not, failure in similarity matching; the existing identity information of the user comprises at least two kinds of information of a login account, a login account password, a part of institutions, functions, names, sexes, birthdays, telephones and identity card numbers;
If the similarity is successfully matched, the login identity information is combined and/or updated with the existing identity information successfully matched in the medical integrated platform;
and if the similarity matching fails, recording the login identity information as new user identity information.
In one embodiment, the matching policy includes:
the first matching strategy comprises the steps that the identity information comprises a login account and a login account password;
the second matching strategy is that the identity information comprises an identity card number, a name and gender;
a third matching strategy, wherein the identity information comprises an identity card number, a name, a gender and a telephone;
a fourth matching strategy, wherein the identity information comprises an identity card number, a name, a department organization, a job and a telephone;
a fifth matching strategy, wherein the identity information comprises an identity card number, a name, a gender, a birthday, a department organization, a job title and a telephone;
the sixth matching policy, the identity information includes name, gender, birthday, department organization, job title and telephone.
In one embodiment, if the similarity matching is successful, the step of merging and/or updating the login identity information with the existing identity information in the medical integration platform that is successfully matched includes:
If the similarity matching is successful, judging whether the received login identity information of the user has information which is not in the existing identity information with the successful similarity matching, if so, merging the information which is not in the existing identity information of the user of the medical integrated platform;
and/or the number of the groups of groups,
if the similarity matching is successful, judging whether the received login identity information of the user has the condition that the corresponding information in the existing identity information which is successfully matched in the similarity is inconsistent, and if so, updating the existing identity information which is successfully matched in the medical integrated platform according to the received login identity information of the user.
In one embodiment, the method further comprises: for any matching strategy, adjusting and optimizing first identity information weight values and second identity information weight values which are in one-to-one correspondence with first identity information and second identity information of at least two kinds of matching strategies, and adjusting and optimizing similarity matching threshold values of the matching strategies, wherein the adjusting and optimizing comprises the following steps:
screening matching data of a plurality of matching strategies with successful similarity matching, and improving a first identity information weight value corresponding to first identity information of which the comparison and matching result reaches a preset first comparison and matching threshold in the matching data, and correspondingly improving the similarity matching threshold of the matching strategies.
In one embodiment, the method further comprises: for any matching strategy, adjusting and optimizing first identity information weight values and second identity information weight values which are in one-to-one correspondence with first identity information and second identity information of at least two kinds of matching strategies, and adjusting and optimizing similarity matching threshold values of the matching strategies, wherein the adjusting and optimizing comprises the following steps:
screening the matching data of the matching strategy with successful similarity matching, reducing the weight value of the second identity information corresponding to the second identity information of which the comparison inconsistency result reaches the preset first comparison inconsistency threshold value in the matching data, and correspondingly improving the similarity matching threshold value of the matching strategy.
In one embodiment, the method further comprises: screening out a matching strategy with the lowest matching success rate, corresponding identity information contained in the matching strategy to identity information contained in other matching strategies with higher matching success rates, judging whether a comparison consistency result of corresponding identity information in the matching strategy with higher matching success rates reaches a preset second comparison consistency threshold value, if so, increasing the weight value of the corresponding identity information in the matching strategy with the lowest matching success rate, and correspondingly increasing the similarity matching threshold value of the matching strategy with the lowest matching success rate.
In one embodiment, the method further comprises: screening out a matching strategy with the lowest matching success rate, corresponding identity information contained in the matching strategy to identity information contained in other matching strategies with higher matching success rates, judging whether a comparison inconsistency result of corresponding identity information in the matching strategy with higher matching success rates reaches a preset second comparison inconsistency threshold value, if so, reducing the weight value of the corresponding identity information in the matching strategy with the lowest matching success rate, and correspondingly improving the similarity matching threshold value of the matching strategy with the lowest matching success rate.
In a second aspect, in one embodiment, a single sign-on user management system based on a medical integration platform is provided, including:
the login identity information receiving module is used for receiving login identity information of a user, wherein the login identity information of the user comprises at least two kinds of information of a login account number, a login account password, a department mechanism, a job, a name, a gender, a birthday, a telephone and an identity card number;
the similarity matching module is used for performing similarity matching on the login identity information and the existing identity information in the medical integrated platform based on a matching strategy; the matching strategies comprise at least one type, and if one matching strategy is met in the similarity matching, the similarity matching is successful; for any one matching strategy, comprising: selecting at least two kinds of first identity information and second identity information in the existing identity information of the user, wherein the at least two kinds of first identity information and the second identity information are in one-to-one correspondence with a first identity information weight value and a second identity information weight value, and setting a similarity matching threshold value based on the corresponding weight values; similarity matching based on a matching policy includes: comparing the first identity information and the second identity information of at least two kinds of matching strategies with corresponding information in login identity information, if the first identity information and the second identity information are consistent with the corresponding information in login identity information, obtaining corresponding weight values, accumulating the weight values obtained by consistent comparison, judging whether the similarity matching threshold value of the matching strategies is reached, if so, successful similarity matching, and if not, failure in similarity matching; the existing identity information of the user comprises at least two kinds of information of a login account, a login account password, a department mechanism, a job, a name, a sex, a birthday, a telephone and an identity card number;
The identity information merging and/or updating module is used for carrying out information merging and/or updating on the login identity information and the existing identity information successfully matched in the medical integrated platform under the condition that the similarity matching is successful;
and the login identity information recording module is used for recording the login identity information as a piece of new user identity information on the medical integrated platform under the condition that the similarity matching fails.
In one embodiment, the method further comprises a matching policy optimization module, wherein the matching policy optimization module comprises:
the identity information weight value and similarity matching threshold optimization unit is configured to adjust and optimize, for any matching policy, first identity information weight values and second identity information weight values corresponding to first identity information and second identity information of at least two kinds of the matching policies one by one, and adjust and optimize a similarity matching threshold of the matching policy, where the adjusting and optimizing includes:
screening matching data of the matching strategy with successful matching of a plurality of similarities, improving a first identity information weight value corresponding to first identity information, of which the matching result reaches a preset first matching threshold, in the matching data, and correspondingly improving the similarity matching threshold of the matching strategy;
And/or the number of the groups of groups,
screening the matching data of the matching strategy with successful similarity matching, reducing the weight value of the second identity information corresponding to the second identity information of which the comparison inconsistency result reaches the preset first comparison inconsistency threshold value in the matching data, and correspondingly improving the similarity matching threshold value of the matching strategy.
In one embodiment, the matching policy optimization module further includes a first lowest matching policy optimization unit and/or a second lowest matching policy optimization unit;
the first lowest matching policy optimizing unit is used for screening out a matching policy with the lowest matching success rate, corresponding identity information contained in the matching policy with identity information contained in other matching policies with higher matching success rates, judging whether a comparison consistency result of corresponding identity information in the matching policy with higher matching success rates reaches a preset second comparison consistency threshold value, and if so, improving a weight value of the corresponding identity information in the matching policy with the lowest matching success rate;
the second lowest matching policy optimizing unit is configured to screen a matching policy with a lowest matching success rate, correspond identity information included in the matching policy to identity information included in other matching policies with higher matching success rates, determine whether a comparison inconsistency result of corresponding identity information in the matching policy with higher matching success rates reaches a preset second comparison inconsistency threshold, and if so, reduce a weight value of corresponding identity information in the matching policy with the lowest matching success rate.
The beneficial effects of the invention are as follows:
and compared with the traditional matching mode, the matching strategy based on the weight values and the similarity matching threshold values of various identity information has stronger compatibility, and can conveniently adjust the matching weight values and the similarity matching threshold values based on the matching result of big data so as to obtain more accurate matching result. And a plurality of matching strategies can realize flexible matching of similarity matching. The recording of the login identity information of the new user can be automatically completed, the whole process is automatically completed, zero intervention automatic management of the single sign-on user is basically realized, and the user management efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of a single sign-on user management system based on a medical integration platform according to one embodiment of the present application;
FIG. 2 is a flow chart of a single sign-on user management method based on a medical integration platform according to one embodiment of the present application;
FIG. 3 is a schematic diagram of an identity information initial weight value and initial similarity matching threshold setting mode of various matching strategies according to one embodiment of the present application;
FIG. 4 is a diagram of matching policy comparison data and results automatically recorded by a system according to one embodiment of the present application.
In the drawing, 01, logging in an identity information receiving module; 02, a similarity matching module; 03, identity information merging and/or updating module; 04, logging in an identity information recording module; 05, a matching strategy optimization module; 0501, an identity information weight value and similarity matching threshold optimization unit; 0502, a first lowest matching policy optimization unit; 0503, a second lowest matching policy optimization unit.
Detailed Description
The invention will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, some operations associated with the present application have not been shown or described in the specification to avoid obscuring the core portions of the present application, and may not be necessary for a person skilled in the art to describe in detail the relevant operations based on the description herein and the general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning.
For convenience in explaining the inventive concept of the present application, a medical integration platform technology among medical information technologies is briefly explained below.
Single sign-on is an important constituent function in an integrated platform, and access and storage of user information and identity authentication and quick switching between an identity provider (Identity Provider) and an application system are realized through the unified integrated platform. The current medical integrated platform has dozens or even hundreds of various application systems running, and user login information among the systems is different, so that the problems of low user management efficiency such as complex access method, large workload, information update delay and the like exist in single sign-on management. For a clearer explanation, a single sign-on user management system based on a medical integration platform will be described first. Please see fig. 1, comprising:
A login identity information receiving module 01, which provides a login identity information receiving interface, and receives login identity information of a user based on the receiving interface. In one embodiment, the login identity information of the user includes at least two of login account number, login account password, department facility, job title, name, gender, birthday, telephone, and identification number. Correspondingly, the login identity information receiving interface comprises at least two information receiving sub-interfaces of a login account, a login account password, a department organization, a job sub-interface, a name, a gender, a birthday, a telephone and an identity card number.
And the similarity matching module 02 is used for performing similarity matching on the basis of the login identity information received by the login identity information receiving module 01 and the identity information existing in the medical integrated platform based on a preset matching strategy. In one embodiment, the matching strategies can be multiple, and the similarity matching is successful as long as the matching condition of one matching strategy is met in the similarity matching.
And the identity information merging and/or updating module 03 is used for merging and/or updating the login identity information with the existing identity information successfully matched in the medical integrated platform under the condition that the similarity matching is successful.
The login identity information recording module 04 is used for recording the login identity information as a new piece of user identity information on the medical integrated platform under the condition that the similarity matching fails.
In one embodiment, the single sign-on user management system further includes a matching policy optimization module 05, where the module includes an identity information weight value and similarity matching threshold optimization unit 0501, and the unit is configured to adjust and optimize, for any one matching policy, a first identity information weight value and a second identity information weight value that are in one-to-one correspondence with at least two kinds of first identity information and second identity information in the matching policy, and adjust and optimize a similarity matching threshold of the matching policy.
In one embodiment, the matching policy optimization module 05 further includes a first lowest matching policy optimization unit 0502, where the first lowest matching policy optimization unit is configured to screen a matching policy with a lowest matching success rate, correspond identity information included in the matching policy to identity information included in other matching policies with higher matching success rates, determine whether a comparison consistency result of the corresponding identity information in the matching policy with higher matching success rates reaches a preset second comparison consistency threshold, and if so, improve a weight value of the corresponding identity information in the matching policy with the lowest matching success rate.
In one embodiment, the matching policy optimization module 05 further includes a second lowest matching policy optimization unit 0503, where the second lowest matching policy optimization unit is configured to screen a matching policy with a lowest matching success rate, correspond identity information included in the matching policy to identity information included in other matching policies with higher matching success rates, determine whether a comparison inconsistency result of the corresponding identity information in the matching policy with higher matching success rates reaches a preset second comparison inconsistency threshold, and if yes, reduce a weight value of the corresponding identity information in the matching policy with the lowest matching success rate.
It can be appreciated that the login identity information receiving module 01, the similarity matching module 02, the identity information merging and/or updating module 03, the login identity information recording module 04 and the matching policy optimizing module 05 may be implemented by different processors or may be implemented by the same processor, which are all within the protection scope of the present application.
Those skilled in the art will appreciate that the hardware architecture of the single sign-on user management system based on a medical integration platform shown in fig. 1 does not constitute a limitation of the single sign-on user management system based on a medical integration platform, and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
Based on the system, for the similarity matching module, a safe and reliable API or Webservice is provided based on cloud service for calling when the similarity is matched, and the access of the existing identity information is completed.
In one embodiment, an intelligent algorithm is adopted to generate a random code, the generated random code and the current password are mixed and encrypted to generate a strong password, and the strength and the security of the encrypted transmission password of the identity information are ensured.
The following describes a single sign-on user management method based on a medical integration platform, which can be specifically applied to the above system, please refer to fig. 2, including:
step S10, receiving login identity information of a user. The login identity information of the user comprises at least two kinds of information of login account numbers, login account passwords, department institutions, roles, names, sexes, birthdays, telephones and identity card numbers. Based on the login identity information of the user, similarity matching can be performed based on the existing identity information in the medical integrated platform.
Step S20, similarity matching is carried out on the login identity information and the existing identity information in the medical integrated platform based on the matching strategy. The matching strategies comprise at least one type, and a plurality of types of matching strategies can be adopted, and if one type of matching strategies is met in the similarity matching, the similarity matching is successful.
In one embodiment, the matching policy includes: the first matching strategy comprises the identification information including a login account and a login account password. And the second matching strategy is that the identity information comprises an identity card number, a name and a gender. And the third matching strategy, the identity information comprises an identity card number, a name, a gender and a telephone. And the fourth matching strategy, and the identity information comprises an identity card number, a name, a department organization, a job and a telephone. And a fifth matching strategy, wherein the identity information comprises an identity card number, a name, a gender, a birthday, a department organization, a job title and a telephone. The sixth matching policy, the identity information includes name, gender, birthday, department organization, job title and telephone. In the above matching strategies, as long as one matching strategy is successful in matching, the similarity matching is successful.
Based on the above-mentioned various matching strategies, flexible matching of similarity matching can be realized.
In one embodiment, the similarity matching is performed based on the first matching policy, if unsuccessful, the similarity matching is performed based on the second matching policy, if unsuccessful, the similarity matching is performed based on the third matching policy, if unsuccessful, the similarity matching is performed based on the fourth matching policy, if unsuccessful, the similarity matching is performed based on the fifth matching policy, and if unsuccessful, the similarity matching is performed based on the sixth matching policy.
In one embodiment, for any one of the matching strategies, the matching method includes: and selecting at least two kinds of first identity information and second identity information in the existing identity information of the user, wherein the at least two kinds of first identity information and the second identity information are in one-to-one correspondence with a first identity information weight value and a second identity information weight value, and setting a similarity matching threshold value based on the corresponding weight values.
Referring to fig. 3, for the first matching policy, the login account and the login account password are used as the most basic identity matching information. In one embodiment, the weight value of the identity information of the login account and the login account password is 50, and the similarity matching threshold is 100.
For the second matching strategy, the identity information adopts the combination of the identity card number, the name and the gender for identity matching. In one embodiment, the initial weight values of the identity information of the identification card number, the name and the gender are respectively 60, 20 and 20, and the initial similarity matching threshold is 80.
For the third matching strategy, the identity information adopts the combination of the identity card number, the name, the gender and the telephone to carry out the identity matching. In one embodiment, the initial weight values for the identification number, name, gender, and phone identity information are 50, 20, 10, and 20, respectively, and the initial similarity match threshold is 80.
For the fourth matching strategy, the identity information adopts the combination of the identity card number, the name, the department organization, the job and the telephone to carry out the identity matching. In one embodiment, the initial weight values for the identity information of the identification card number, name, department facility, job and phone are 40, 20, 10 and 20, respectively, and the initial similarity match threshold is 80.
For the fifth matching strategy, the identity information adopts the combination of the identity card number, the name, the gender, the birthday, the department organization, the job and the telephone for identity matching. In one embodiment, the initial weight values for the identification card number, name, gender, birthday, department facility, job and phone identity information are 30, 20, 10 and 10, respectively, and the initial similarity match threshold is 70.
For the sixth matching policy, the identity information is identity matched using a combination of name, gender, birthday, department facility, job and phone. In one embodiment, the initial weight values for identity information for name, gender, birthday, department facility, job and telephone are 20, 10 and 30, respectively, and the initial similarity match threshold is 70.
Based on the matching strategy, in the similarity matching, the first identity information and the second identity information of at least two kinds of matching strategies are compared with corresponding information in the login identity information, if the first identity information and the second identity information are consistent with the corresponding information in the login identity information, corresponding weight values are obtained, all weight values obtained by consistent comparison are accumulated, whether the similarity matching threshold value of the matching strategy is reached or not is judged, if yes, the similarity matching is successful, and if not, the similarity matching is failed; the existing identity information of the user comprises at least two kinds of information of a login account number, a login account password, a part of institutions, a job title, a name, a gender, a birthday, a telephone and an identity card number.
According to the matching strategies, besides the first matching strategy, other matching strategies give consideration to important identity information and auxiliary identity information for identity matching, on the basis of the initial weight value, the important identity information is inclined, and the initial similarity matching threshold is set according to the important identity information, so that compared with the traditional matching mode, the matching mode has the advantages that on one hand, information errors are contained, the probability of successful matching is improved, the compatibility is stronger, on the other hand, the matching result based on big data can be conveniently obtained, and the matching weight value and the similarity matching threshold can be conveniently adjusted, so that a more accurate matching result is obtained.
And step S30, if the similarity matching is successful, combining and/or updating the login identity information with the existing identity information successfully matched in the medical integrated platform.
In one embodiment, if the similarity matching is successful, it is determined whether there is information that is not in the existing identity information that is successful in the similarity matching in the received login identity information of the user, and if so, the information that is not in the existing identity information of the user is incorporated into the medical integration platform.
For example, if the received login identity information of the user has job and department organization information, but the existing identity information with successful similarity matching does not have the two information, the two information is incorporated into the existing identity information of the user of the medical integration platform.
In one embodiment, if the similarity matching is successful, whether the received login identity information of the user has inconsistent corresponding information in the existing identity information with the successful similarity matching is judged, and if so, the existing identity information with the successful matching in the medical integrated platform is updated according to the received login identity information of the user.
For example, if the job and department organization information existing in the received login identity information of the user is different from the job and department organization information in the existing identity information successfully matched with the similarity, the two information existing in the medical integration platform is updated to the two information newly received.
Therefore, the information combination and/or update of the login identity information and the existing identity information successfully matched in the medical integrated platform can be realized, and the automatic management of the update of the existing information is realized.
Step S40, if the similarity matching fails, the login identity information is recorded as a new piece of user identity information.
If the similarity matching fails, the current login identity information is recorded as new user identity information, and the recorded current login identity information becomes the existing identity information in the medical integrated platform and can be used for the next login matching calling of the user. Therefore, the recording of the login identity information of the new user can be automatically completed, the whole process is automatically completed, and zero-intervention automatic management of the single sign-on user is basically realized.
In one embodiment, based on the matching policy in step S30, the single sign-on user management method further includes a matching policy optimization method, including: for any one matching strategy, adjusting and optimizing first identity information weight values and second identity information weight values which are in one-to-one correspondence with at least two kinds of first identity information and second identity information in the matching strategy, and adjusting and optimizing similarity matching threshold values of the matching strategy.
In one embodiment, matching data of a matching strategy with successful matching of a plurality of similarities is screened, a first identity information weight value corresponding to first identity information with a comparison and agreement result reaching a preset first comparison and agreement threshold value in the matching data is improved, and the similarity matching threshold value of the matching strategy is correspondingly improved.
Referring to fig. 4, in the figure, there are N groups of recorded comparison data, in the identity information comparison, 1 indicates that the comparison is consistent, 0 indicates that the comparison is inconsistent, policy 1 corresponds to a first matching policy, policy 2 corresponds to a second matching policy, and policy 3 corresponds to a third matching policy. The matching data of the third matching policy with successful similarity matching can be screened, and in the matching data, the matching result of the phone items is higher, and reaches a preset first matching threshold (only part of data of policy 3 is shown in fig. 4 due to content limitation), so that the weight value of the phone item can be increased, for example, the weight value of the phone item is increased by 5 points, and accordingly, the similarity matching threshold of the third matching policy is increased, for example, the similarity matching threshold of the third matching policy is increased by 3 to 5 points.
It should be understood that the number of matching data of the matching strategies with successful matching of the plurality of similarities may be 3, 5, or 10, or the number of screening may be determined according to the proportion, and the number of screening may be determined according to the actual requirement, which is not particularly limited herein. The first comparison consistency threshold may be set according to actual requirements, for example, 80%,85%, or the like, that is, the proportion of the corresponding identity information to the matching policy that the matching is successful in the case of similarity pair matching is not particularly limited herein.
It will also be appreciated that in one embodiment, if the total weight is certain, the weight of one identity information is reduced while the weight of the other identity information is increased, where the weight of the identity information with a lower alignment result and/or the lowest alignment result may be selected to be reduced with the total weight unchanged, so that the similarity threshold approaches 100 to achieve a more accurate alignment result.
In one embodiment, matching data of the matching strategy with successful matching of a plurality of similarities is screened, a weight value of second identity information corresponding to the second identity information with the inconsistent comparison result reaching a preset first inconsistent comparison threshold is reduced in the matching data, and the similarity matching threshold of the matching strategy is correspondingly improved.
For example, in the matching data of the third matching policy in fig. 4, the comparison inconsistency result of the gender item is higher, and reaches the preset first comparison inconsistency threshold (only the 3 part of data of the policy is shown in fig. 4 due to the content limitation), so we can reduce the weight value of the gender item, for example, reduce the weight value of the gender item by 5 points, and correspondingly, increase the similarity matching threshold of the third matching policy, for example, increase the similarity matching threshold of the third matching policy by 3 to 5 points.
It can be appreciated that, the first comparison inconsistency threshold may be set according to actual requirements, for example, 80%,85%, or the like, that is, the proportion of the matching policy that the corresponding identity information comparison inconsistency occupies the matching of the similar pair is successful, which is not limited in detail herein.
It will also be appreciated that in one embodiment, if the total weight is certain, the weight of one identity information is reduced, and the weight of the other identity information is increased, where the weight of the identity information with higher alignment results and/or highest alignment results may be selected to increase under the condition that the total weight is unchanged, so that the similarity threshold approaches 100 to achieve a more accurate alignment result.
In one embodiment, matching data of the matching strategy with successful matching of a plurality of similarities is screened, a first identity information weight value corresponding to first identity information with a consistent comparison result reaching a preset first consistent comparison threshold value in the matching data is increased, a second identity information weight value corresponding to second identity information with an inconsistent comparison result reaching the preset first inconsistent comparison threshold value is reduced, and the similarity matching threshold value of the matching strategy is correspondingly increased.
For example, in the comparison result shown in fig. 4, the gender item in the third matching policy is 0, which indicates that in the third matching policy, the gender item is invalid, and the phone item is 1, and the matching policy may be optimized as follows: the identity card number, name, gender and telephone identity information weight values are respectively 50, 20, 0 and 30, and the similarity matching threshold is 100.
In one embodiment, a matching strategy with the lowest matching success rate is screened, identity information contained in the matching strategy is corresponding to identity information contained in other matching strategies with higher matching success rates, whether a comparison consistency result of corresponding identity information in the matching strategy with higher matching success rates reaches a preset second comparison consistency threshold value is judged, if so, a weight value of the corresponding identity information in the matching strategy with the lowest matching success rate is improved, and a similarity matching threshold value of the matching strategy with the lowest matching success rate is correspondingly improved.
For example, the matching policy with the lowest matching success rate is selected as a fifth matching policy, and the matching result of the job item and the identity information of the department organization item contained in the fifth matching policy in the matching policy with the higher matching success rate (the sixth matching policy) reaches a preset second matching consistency threshold (which can be specifically set according to the requirement), so that the weight value of the job item and the identity information of the department organization item in the fifth matching policy is improved, and the similarity matching threshold of the matching policy with the lowest matching success rate is correspondingly improved.
In one embodiment, a matching strategy with the lowest matching success rate is screened, identity information contained in the matching strategy is corresponding to identity information contained in other matching strategies with higher matching success rates, whether a comparison inconsistency result of corresponding identity information in the matching strategy with higher matching success rates reaches a preset second comparison inconsistency threshold value is judged, if so, the weight value of the corresponding identity information in the matching strategy with the lowest matching success rate is reduced, and the similarity matching threshold value of the matching strategy with the lowest matching success rate is correspondingly improved.
For example, the matching strategy with the lowest matching success rate is selected as a fifth matching strategy, and the birthday item identity information contained in the fifth matching strategy reaches a preset second comparison inconsistency threshold value (can be specifically set according to the requirement) in the matching strategy with the higher matching success rate (a sixth matching strategy), so that the weight value of the birthday item identity information in the fifth matching strategy is reduced, and the similarity matching threshold value of the matching strategy with the lowest matching success rate is correspondingly improved.
In one embodiment, a matching strategy with the lowest matching success rate is screened, identity information contained in the matching strategy is corresponding to identity information contained in other matching strategies with higher matching success rates, whether a comparison consistency result of corresponding identity information in the matching strategy with higher matching success rates reaches a preset second comparison consistency threshold value is judged, and if so, the weight value of the corresponding identity information in the matching strategy with the lowest matching success rate is improved. Judging whether the inconsistent comparison result of the corresponding identity information in the matching strategy with higher matching success rate reaches a preset second inconsistent comparison threshold value, if so, reducing the weight value of the corresponding identity information in the matching strategy with lowest matching success rate. And the similarity matching threshold of the matching strategy with the lowest matching success rate is correspondingly improved.
For example, screening a matching policy with the lowest matching success rate as a fifth matching policy, wherein the matching result of the job item and the department entity identity information contained in the fifth matching policy in the matching policy (sixth matching policy) with the higher matching success rate reaches a preset second matching consistency threshold, and the matching inconsistent result of the birthday item identity information contained in the fifth matching policy in the matching policy (sixth matching policy) with the higher matching success rate reaches a preset second matching inconsistent threshold, so that the weight value of the job item and the department entity identity information in the fifth matching policy is improved, the weight value of the birthday item identity information in the fifth matching policy is reduced, and the similarity matching threshold of the matching policy with the lowest matching success rate is correspondingly improved.
Based on the matching strategy optimization method, the weight value of the identity information item with higher comparison consistency is improved, the weight value of the identity information item with lower comparison consistency is reduced, and the similarity matching threshold value of the matching strategy is improved, so that a more accurate comparison effect is achieved, the accuracy of merging users can be improved, and the method is quicker and applicable to various users.
An embodiment of the present application provides a computer readable storage medium, where a program is stored, where the stored program includes a single sign-on user management method based on a medical integration platform that can be loaded and processed by a processor in any of the above embodiments.
Those skilled in the art will appreciate that all or part of the functions of the various methods in the above embodiments may be implemented by hardware, or may be implemented by a computer program. When all or part of the functions in the above embodiments are implemented by means of a computer program, the program may be stored in a computer readable storage medium, and the storage medium may include: read-only memory, random access memory, magnetic disk, optical disk, hard disk, etc., and the program is executed by a computer to realize the above-mentioned functions. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the functions described above can be realized. In addition, when all or part of the functions in the above embodiments are implemented by means of a computer program, the program may be stored in a storage medium such as a server, another computer, a magnetic disk, an optical disk, a flash disk, or a removable hard disk, and the program in the above embodiments may be implemented by downloading or copying the program into a memory of a local device or updating a version of a system of the local device, and when the program in the memory is executed by a processor.
The foregoing description of the invention has been presented for purposes of illustration and description, and is not intended to be limiting. Several simple deductions, modifications or substitutions may also be made by a person skilled in the art to which the invention pertains, based on the idea of the invention.
Claims (9)
1. A single sign-on user management method based on a medical integrated platform is characterized by comprising the following steps:
receiving login identity information of a user, wherein the login identity information of the user comprises at least two kinds of information of a login account, a login account password, a department mechanism, a job title, a name, a gender, a birthday, a telephone and an identity card number;
based on a matching strategy, similarity matching is carried out on the login identity information and the existing identity information in the medical integrated platform; the matching strategies comprise at least one type, and if one matching strategy is met in the similarity matching, the similarity matching is successful; for any one matching strategy, comprising: selecting at least two kinds of first identity information and second identity information in the existing identity information of the user, wherein the at least two kinds of first identity information and the second identity information are in one-to-one correspondence with a first identity information weight value and a second identity information weight value, and setting a similarity matching threshold value based on the corresponding weight values; similarity matching based on a matching policy includes: comparing the first identity information and the second identity information of at least two kinds of matching strategies with corresponding information in login identity information, if the first identity information and the second identity information are consistent with the corresponding information in login identity information, obtaining corresponding weight values, accumulating the weight values obtained by consistent comparison, judging whether the similarity matching threshold value of the matching strategies is reached, if so, successful similarity matching, and if not, failure in similarity matching; the existing identity information of the user comprises at least two kinds of information of a login account, a login account password, a part of institutions, functions, names, sexes, birthdays, telephones and identity card numbers;
If the similarity is successfully matched, the login identity information is combined and/or updated with the existing identity information successfully matched in the medical integrated platform;
if the similarity matching fails, recording the login identity information as new user identity information;
the matching strategy comprises the following steps:
the first matching strategy comprises the steps that the identity information comprises a login account and a login account password;
the second matching strategy is that the identity information comprises an identity card number, a name and gender;
a third matching strategy, wherein the identity information comprises an identity card number, a name, a gender and a telephone;
a fourth matching strategy, wherein the identity information comprises an identity card number, a name, a department organization, a job and a telephone;
a fifth matching strategy, wherein the identity information comprises an identity card number, a name, a gender, a birthday, a department organization, a job title and a telephone;
the sixth matching policy, the identity information includes name, gender, birthday, department organization, job title and telephone.
2. The method for single sign-on user management based on a medical integration platform according to claim 1, wherein if the similarity matching is successful, the step of merging and/or updating the sign-on identity information with the existing identity information successfully matched in the medical integration platform comprises:
If the similarity matching is successful, judging whether the received login identity information of the user has information which is not in the existing identity information with the successful similarity matching, if so, merging the information which is not in the existing identity information of the user of the medical integrated platform;
and/or the number of the groups of groups,
if the similarity matching is successful, judging whether the received login identity information of the user has the condition that the corresponding information in the existing identity information which is successfully matched in the similarity is inconsistent, and if so, updating the existing identity information which is successfully matched in the medical integrated platform according to the received login identity information of the user.
3. The medical integration platform-based single sign-on user management method of claim 1, further comprising: for any matching strategy, adjusting and optimizing first identity information weight values and second identity information weight values which are in one-to-one correspondence with first identity information and second identity information of at least two kinds of matching strategies, and adjusting and optimizing similarity matching threshold values of the matching strategies, wherein the adjusting and optimizing comprises the following steps:
screening matching data of a plurality of matching strategies with successful similarity matching, and improving a first identity information weight value corresponding to first identity information of which the comparison and matching result reaches a preset first comparison and matching threshold in the matching data, and correspondingly improving the similarity matching threshold of the matching strategies.
4. The medical integration platform-based single sign-on user management method as recited in claim 1 or 3, further comprising: for any matching strategy, adjusting and optimizing first identity information weight values and second identity information weight values which are in one-to-one correspondence with first identity information and second identity information of at least two kinds of matching strategies, and adjusting and optimizing similarity matching threshold values of the matching strategies, wherein the adjusting and optimizing comprises the following steps:
screening the matching data of the matching strategy with successful similarity matching, reducing the weight value of the second identity information corresponding to the second identity information of which the comparison inconsistency result reaches the preset first comparison inconsistency threshold value in the matching data, and correspondingly improving the similarity matching threshold value of the matching strategy.
5. The medical integration platform-based single sign-on user management method as recited in claim 3, further comprising: screening out a matching strategy with the lowest matching success rate, corresponding identity information contained in the matching strategy to identity information contained in other matching strategies with higher matching success rates, judging whether a comparison consistency result of corresponding identity information in the matching strategy with higher matching success rates reaches a preset second comparison consistency threshold value, if so, increasing the weight value of the corresponding identity information in the matching strategy with the lowest matching success rate, and correspondingly increasing the similarity matching threshold value of the matching strategy with the lowest matching success rate.
6. The medical integration platform-based single sign-on user management method of claim 4, further comprising: screening out a matching strategy with the lowest matching success rate, corresponding identity information contained in the matching strategy to identity information contained in other matching strategies with higher matching success rates, judging whether a comparison inconsistency result of corresponding identity information in the matching strategy with higher matching success rates reaches a preset second comparison inconsistency threshold value, if so, reducing the weight value of the corresponding identity information in the matching strategy with the lowest matching success rate, and correspondingly improving the similarity matching threshold value of the matching strategy with the lowest matching success rate.
7. A single sign-on user management system based on a medical integration platform, comprising:
the login identity information receiving module (01) is used for receiving login identity information of a user, wherein the login identity information of the user comprises at least two kinds of information of a login account, a login account password, a department mechanism, a job title, a name, a gender, a birthday, a telephone and an identity card number;
the similarity matching module (02) is used for performing similarity matching on the login identity information and the existing identity information in the medical integrated platform based on a matching strategy; the matching strategies comprise at least one type, and if one matching strategy is met in the similarity matching, the similarity matching is successful; for any one matching strategy, comprising: selecting at least two kinds of first identity information and second identity information in the existing identity information of the user, wherein the at least two kinds of first identity information and the second identity information are in one-to-one correspondence with a first identity information weight value and a second identity information weight value, and setting a similarity matching threshold value based on the corresponding weight values; similarity matching based on a matching policy includes: comparing the first identity information and the second identity information of at least two kinds of matching strategies with corresponding information in login identity information, if the first identity information and the second identity information are consistent with the corresponding information in login identity information, obtaining corresponding weight values, accumulating the weight values obtained by consistent comparison, judging whether the similarity matching threshold value of the matching strategies is reached, if so, successful similarity matching, and if not, failure in similarity matching; the existing identity information of the user comprises at least two kinds of information of a login account, a login account password, a department mechanism, a job, a name, a sex, a birthday, a telephone and an identity card number;
The identity information merging and/or updating module (03) is used for carrying out information merging and/or updating on the login identity information and the existing identity information successfully matched in the medical integrated platform under the condition that the similarity matching is successful;
the login identity information recording module (04) is used for recording the login identity information as a piece of new user identity information on the medical integrated platform under the condition that the similarity matching fails;
the matching strategy comprises the following steps:
the first matching strategy comprises the steps that the identity information comprises a login account and a login account password;
the second matching strategy is that the identity information comprises an identity card number, a name and gender;
a third matching strategy, wherein the identity information comprises an identity card number, a name, a gender and a telephone;
a fourth matching strategy, wherein the identity information comprises an identity card number, a name, a department organization, a job and a telephone;
a fifth matching strategy, wherein the identity information comprises an identity card number, a name, a gender, a birthday, a department organization, a job title and a telephone;
the sixth matching policy, the identity information includes name, gender, birthday, department organization, job title and telephone.
8. The medical integration platform-based single sign-on user management system of claim 7, further comprising a matching policy optimization module (05), the matching policy optimization module (05) comprising:
An identity information weight value and similarity matching threshold optimizing unit (0501) configured to, for any one matching policy, adjust and optimize a first identity information weight value and a second identity information weight value corresponding to first identity information and second identity information of at least two of the matching policies one by one, and adjust and optimize a similarity matching threshold of the matching policy, where the adjusting and optimizing includes:
screening matching data of the matching strategy with successful matching of a plurality of similarities, improving a first identity information weight value corresponding to first identity information, of which the matching result reaches a preset first matching threshold, in the matching data, and correspondingly improving the similarity matching threshold of the matching strategy;
and/or the number of the groups of groups,
screening the matching data of the matching strategy with successful similarity matching, reducing the weight value of the second identity information corresponding to the second identity information of which the comparison inconsistency result reaches the preset first comparison inconsistency threshold value in the matching data, and correspondingly improving the similarity matching threshold value of the matching strategy.
9. The medical integration platform-based single sign-on user management system according to claim 8, wherein the matching policy optimization module further comprises a first lowest matching policy optimization unit (0502) and/or a second lowest matching policy optimization unit (0503);
The first lowest matching policy optimizing unit (0502) is configured to screen a matching policy with a lowest matching success rate, correspond identity information contained in the matching policy to identity information contained in other matching policies with higher matching success rates, determine whether a comparison consistency result of corresponding identity information in the matching policy with higher matching success rates reaches a preset second comparison consistency threshold, and if so, improve a weight value of corresponding identity information in the matching policy with the lowest matching success rate;
the second lowest matching policy optimizing unit (0503) is configured to screen a matching policy with the lowest matching success rate, correspond identity information included in the matching policy to identity information included in other matching policies with higher matching success rates, determine whether a comparison inconsistency result of the corresponding identity information in the matching policy with higher matching success rates reaches a preset second comparison inconsistency threshold, and if so, reduce a weight value of the corresponding identity information in the matching policy with the lowest matching success rate.
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