CN110600092A - Method and system for generating personnel main index applied to medical field - Google Patents
Method and system for generating personnel main index applied to medical field Download PDFInfo
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Abstract
The invention provides a method and a system for generating a personnel main index applied to the field of medical treatment, wherein the method comprises the following steps: acquiring personnel related information of residents from different medical data sources; analyzing the related information of the personnel to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information; according to the identity identification information and the service identification information, respectively adopting corresponding matching rules, carrying out similarity calculation on the related information of each person, and carrying out matching on the related information of the person according to the calculation result; and acquiring data items corresponding to the personnel related information matched with the same resident, and generating a unique personnel main index of the resident according to the data items. The invention makes retrieval of the same patient information in different medical data sources possible, realizes interconnection and intercommunication of the patient information and related medical information, and realizes information sharing.
Description
Technical Field
The invention relates to the field of medical and health information processing, in particular to a method and a system for generating a personnel main index applied to the medical field.
Background
The establishment of the unique identification of the individual identity of the resident is the fundamental premise for realizing the interconnection and intercommunication of the medical health information.
With the development of medical informatization, various information systems are continuously accessed in the field of medical health, but the problem of unsmooth information interaction is caused by the increase of the access quantity of the systems, and the situation that health archive information cannot be effectively mutually acknowledged also exists among all levels of medical institutions, so that the waste of medical resources is caused. Therefore, in order to realize information exchange and sharing among different institutions, in institutions and the like in an area, the problem to be solved firstly is mutual identification of resident identity information, and a cross index of patient information in different areas is formed by establishing a resident unique identity, namely an individual master index (EMPI).
Disclosure of Invention
The invention aims to provide a method and a system for generating a personnel main index applied to the medical field, which can realize that retrieval aiming at the same patient information in different medical data sources becomes possible, realize interconnection and intercommunication of the patient information and related medical information, realize information sharing and avoid data resource waste.
The technical scheme provided by the invention is as follows:
the invention provides a method for generating a personnel main index applied to the medical field, which comprises the following steps:
acquiring personnel related information of residents from different medical data sources;
analyzing the personnel related information to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information;
according to the identity identification information and the service identification information, respectively adopting corresponding matching rules, carrying out similarity calculation on the related information of each person, and carrying out matching on the related information of the person according to the calculation result;
and acquiring data items corresponding to the personnel related information matched with the same resident, and generating a unique personnel main index of the resident according to the data items.
Further, the step of acquiring the personnel related information of the residents from different medical data sources specifically comprises the following steps:
and acquiring the personnel related information of residents from different medical data sources in a real-time registration mode, a batch registration mode or an original data mirror image capturing mode.
Further, the step of acquiring the data items corresponding to the person-related information matched with the same resident and generating the unique person master index according to the data items specifically includes:
acquiring an identity data item and a service data item which are matched with the related information of the personnel of the same resident;
respectively obtaining corresponding identity domain data models and corresponding business domain data models according to the identity data items and the business identification items; the data models comprise domain types, identification action ranges and identification numbers;
generating a corresponding identity domain index number according to the identity domain data model, and generating a corresponding service domain index number according to the service domain data model;
and generating the personnel main index according to the identity domain index number and the service domain index number.
Further, the information attribute further includes extension information; the method specifically comprises the following steps of respectively adopting corresponding matching rules according to the identity identification information and the service identification information to calculate the similarity of the related information of each person, and matching the related information of the person according to the calculation result:
judging whether the identity identification information obtained by analysis comprises basic identity information or not; the identity identification information comprises basic identity information and auxiliary identity information;
if the identity identification information comprises basic identity information, setting a plurality of identity matching items according to the identity identification information, comparing whether all identity matching items corresponding to the related information of each person are consistent or not, and determining the related information of the persons with consistent identity matching items as the related information of the persons belonging to the same resident;
if the identity identification information does not comprise basic identity information, a plurality of identity data items and corresponding weight coefficients thereof are set according to the auxiliary identity information and the extension information, the similarity between related information of personnel is calculated, and if the similarity reaches a preset similarity threshold value, the related information of two personnel participating in calculation is determined to be related information of personnel belonging to the same resident.
Further, the method also comprises the following steps:
after the personnel main index is generated, acquiring corresponding data items in the personnel related information from different medical data sources according to the personnel main index;
generating a corresponding main file according to the data item and a preset generation strategy; the preset generating strategy comprises one or more of a credibility priority strategy and an election strategy.
The invention also provides a system for generating the personnel main index applied to the medical field, which comprises the following steps:
the data access module is used for acquiring personnel related information of residents from different medical data sources;
the attribute analysis module is connected with the data access module and used for analyzing the personnel related information to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information;
the information matching module is connected with the attribute analysis module and is used for respectively adopting corresponding matching rules according to the identity identification information and the service identification information, carrying out similarity calculation on the related information of each person and carrying out matching on the related information of the person according to the calculation result;
and the main index generating module is connected with the information matching module and used for acquiring data items corresponding to the personnel related information matched with the same resident and generating a unique personnel main index of the resident according to the data items.
Further, the data access module acquires the personnel related information of residents from different medical data sources in a real-time registration mode, a batch registration mode or an original data mirror image capturing mode.
Further, the main index generating module comprises:
the data item acquisition unit is used for acquiring an identity data item and a service data item which are matched with the related information of the personnel of the same resident;
the data model acquisition unit is connected with the data item acquisition unit and is used for respectively obtaining a corresponding identity domain data model and a corresponding service domain data model according to the identity data item and the service identification item; the data models comprise domain types, identification action ranges and identification numbers;
the identity domain index number generating unit is connected with the data model acquiring unit and is used for generating a corresponding identity domain index number according to the identity domain data model;
a service domain index number generating unit connected with the data model obtaining unit and used for generating a corresponding service domain index number according to the service domain data mode;
and the main index generating unit is respectively connected with the identity domain index number generating unit and the service domain index number generating unit and is used for generating the personnel main index according to the identity domain index number and the service domain index number.
Further, the information matching module specifically includes:
the judging unit is used for judging whether the identity identification information obtained by analysis comprises basic identity information or not; the identity identification information comprises basic identity information and auxiliary identity information;
the first matching unit is connected with the judging unit and used for setting a plurality of identity matching items according to the identity identification information if the identity identification information comprises basic identity information, comparing whether all the identity matching items corresponding to the related information of each person are consistent or not, and determining the related information of the persons with consistent identity matching items as the related information of the persons belonging to the same resident;
and the second matching unit is connected with the judging unit and used for setting a plurality of identity data items and corresponding weight coefficients thereof according to the auxiliary identity information and the extension information if the identity identification information does not comprise basic identity information, calculating the similarity between related information of personnel, and determining that the related information of two personnel participating in calculation is related information of the personnel belonging to the same resident if the similarity reaches a preset similarity threshold.
Further, the method also comprises the following steps: the master file generation module is connected with the master index generation module and used for acquiring corresponding data items in the relevant information of the personnel from different medical data sources according to the master index of the personnel after the master index of the personnel is generated and generating a corresponding master file according to the data items and a preset generation strategy; the preset generating strategy comprises one or more of a credibility priority strategy and an election strategy.
By the method and the system for generating the personnel main index applied to the medical field, retrieval of the same patient information in different medical data sources becomes possible, interconnection and intercommunication of the patient information and related medical information are realized, information sharing is realized, and waste of data resources is avoided.
Drawings
The above features, technical features, advantages and implementations of a method and system for generating a master index for use in the medical field will be further described in the following detailed description of preferred embodiments in conjunction with the accompanying drawings.
FIG. 1 is a flow chart of one embodiment of a method for generating a master index for a person in the medical field of the present invention;
FIG. 2 is a flow chart of another embodiment of a method for generating a master index for a person in the medical field according to the present invention;
FIG. 3 is a flow chart of the service domain index number generation of the present invention;
FIG. 4 is a flow diagram of identity domain index number generation of the present invention;
FIG. 5 is a diagram illustrating an example of correspondence of information attributes in accordance with the present invention;
FIG. 6 is a flow chart of another embodiment of a method for generating a master index for a person in the medical field of the present invention;
FIG. 7 is a business model diagram of the primary index management platform of the present invention;
fig. 8 is a schematic structural diagram of an embodiment of a generation system of a human master index applied to the medical field.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
For the sake of simplicity, the drawings only schematically show the parts relevant to the present invention, and they do not represent the actual structure as a product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "one" means not only "only one" but also a case of "more than one".
One embodiment of the present invention, as shown in fig. 1, is a method for generating a master index for a person in the medical field, including:
s100, acquiring personnel related information of residents from different medical data sources;
s200, analyzing the related information of the personnel to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information;
s300, according to the identity identification information and the service identification information, respectively adopting corresponding matching rules, carrying out similarity calculation on the related information of each person, and carrying out matching on the related information of the person according to the calculation result;
s400, acquiring data items corresponding to the personnel related information matched with the same resident, and generating a unique personnel main index of the resident according to the data items.
Specifically, in the present embodiment, the basic information, public health, and medical services are classified according to business fields. Public health includes child care, woman care, disease control, disease management. The medical and health information sharing and collaborative services are divided into seven domains: a personal basic information domain, a major disease and health issue summary domain, a child care domain, a woman care domain, a disease control domain, a disease management domain, and a medical services domain.
The medical data source can be servers used by different medical health institutions for storing medical related data, such as a physical examination institution server, a hospital patient information management server, a maternal and child health care card management server, a plan immunity card management server, a chronic disease management server, other management platforms capable of providing resident personnel related information, and the like, servers used by third-party institutions (such as a nutrition diet institution, a psychological intervention institution, and the like) in cooperative association with the medical health institutions for storing medical related data, and servers used by the same institution for storing medical related data of different data types and data formats.
The method comprises the steps that a main index management platform obtains personnel related information of residents from different medical data sources, then the main index management platform analyzes the personnel related information to obtain corresponding information attributes, finally, the main index management platform respectively adopts corresponding matching rules according to identity identification information and business identification information to carry out similarity calculation on each personnel related information, obtains the personnel related information matched as the same resident according to a calculation result, and then obtains data items corresponding to the personnel related information matched as the same resident according to the data items corresponding to the personnel related information matched as the same resident. The personnel similarity operation based on the matching rule supports the consistency judgment and combination of the resident personal information, and mainly comprises the following two points: firstly, setting a resident matching rule, wherein the set rule calculates the possibility that two persons record as the same resident; secondly, a threshold value of the matching degree of the resident identities is set, and the threshold value can provide a probability quantitative index for the merging of the resident identities.
The invention establishes the information management which takes people as the center and realizes the unified identification of the resident information in the region, can realize the unified registration management of the resident information of cross-domain based on the main index management platform, can obtain the index information of residents of other domains, and can also inquire the registered personnel related information of residents of different domains through the cross-domain main index. The main personnel index of residents is the basis of the construction of the national health information platform, provides cross index service for external application systems, meets the requirement of mutual identification of indexes among different business systems, and provides technical support for unique identification of various systems in the national health information platform on patient identities. The invention makes retrieval aiming at the same patient information in different medical data sources possible, realizes interconnection and intercommunication of the patient information and related medical information, realizes information sharing and avoids data resource waste.
Based on the foregoing embodiment, the step S100 of obtaining the people-related information of the residents from different medical data sources specifically includes the steps of:
s110, acquiring the personnel related information of residents from different medical data sources in a real-time registration mode, a batch registration mode or an original data mirror image capturing mode.
Specifically, in the information construction process of the medical institution or the third-party institution, due to the influence of factors such as the stage, the technology, other economic factors and human factors of the construction and implementation of the data management system of each business system, a large amount of business data adopting different storage modes are accumulated in the development process of the medical institution or the third-party institution, including the fact that the adopted data management systems are different greatly, and the heterogeneous data source of the medical institution or the third-party institution is formed from a simple file database to a complex network database. The embodiment provides three data access modes, namely real-time registration, batch registration and original data mirror image capture. The real-time registration mode, namely the index management platform, provides a preset service interface, and different medical data sources submit personnel related information to the index management platform according to interface specifications corresponding to the preset service interface. The batch registration mode, namely the index management platform provides a registration interface table with a preset format, different medical data sources convert the stored original personnel data according to the preset format and submit the personnel related information converted into the preset format to the index management platform. The method comprises the steps that an original data mirror image capturing mode is that a medical data source submits data (or provides mirror image data) according to an original personnel information organization format in a system, a main index management platform configures personnel information data item acquisition and capturing rules, sets a mapping relation between an acquisition field item and a data providing field item, extracts data records in the mirror image data by setting filtering conditions, and actively captures required personnel related information from different medical data sources.
The main index management platform can register resident information aiming at the heterogeneous data source, actively adapts to the structure of the data source in a configuration mode, automatically generates sql statements based on the configuration information, and actively extracts the personnel related information in the heterogeneous data source.
One embodiment of the present invention, as shown in fig. 2, is a method for generating a master index for a person in the medical field, including:
s100, acquiring personnel related information of residents from different medical data sources;
s200, analyzing the related information of the personnel to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information;
s310, judging whether the identity identification information obtained by analysis comprises basic identity information or not; the identity identification information comprises basic identity information and auxiliary identity information;
s320, if the identity identification information comprises basic identity information, setting a plurality of identity matching items according to the identity identification information, comparing whether all the identity matching items corresponding to the related information of each person are consistent or not, and determining the related information of the persons with consistent identity matching items as the related information of the persons belonging to the same resident;
s330, if the identity identification information does not comprise basic identity information, setting a plurality of identity data items and corresponding weight coefficients thereof according to the auxiliary identity information and the extension information, calculating the similarity between related information of personnel, and if the similarity reaches a preset similarity threshold, determining that the related information of two personnel participating in calculation is related information of personnel belonging to the same resident;
specifically, the information attribute further includes extension information. The identity information index identifies the identity of a resident, namely the identity of the resident, and comprises basic identity information and auxiliary identity information, wherein the basic identity information comprises an identity card number, a driving license number and the like, and the auxiliary identity information comprises a name, a name pronunciation (pinyin), a gender, a birth date and the like and belongs to relatively fixed information. The extension information refers to non-identification information of residents, such as occupation, marital status, residence, contact telephone, contact address, residence and the like, and is easy to change. The service identification information refers to identification information of a resident in a service domain, and the identification information only plays a role in the service domain, such as a diabetes management card number, a hypertension management card number, and a social security card number, as shown in fig. 5 below. The main index management platform judges whether the identity identification information obtained by analysis comprises basic identity information or not, and because the identity identification information comprises the basic identity information and auxiliary identity information, the personnel identity matching of the main index management platform mainly adopts 2 matching rules: precise matching and weight matching.
And when the identity matching items among the related information of each person are completely consistent, the related information of all persons with consistent identity matching items is considered to belong to the same objective entity, namely the same resident. The main index management platform defaults to adopt basic identity information such as 'certificate type', 'certificate action range', 'certificate number' and the like as basic identity matching items, and can also add auxiliary identity information such as 'name', 'name pronunciation', 'gender' and the like as identity matching items besides the identity matching items.
And weight matching, wherein when the identity identification information does not comprise basic identity information, namely, when accurate matching elements cannot be extracted from the identity identification information, the main index management platform sets a plurality of identity data items and corresponding weight coefficients according to the auxiliary identity information and the extension information, and the identity data items which can be used for matching comprise but are not limited to names, name pronunciations (Pinyin), sexes, birth dates, mobile phone numbers, occupation, marital conditions, residence places, contact phones, contact addresses, household locations and the like. Considering the importance degree of different identity data items during matching, setting a weighted value for each identity data item, and selecting any one person related information ViAs the relevant information of the reference personnel, the main index management platform selects the remaining relevant information V of the personnel to be matchedjInformation V related to reference personnel in sequenceiCalculating to obtain the related information V of the personnel to be matchedjInformation V relating to reference personiThe similarity between them. The similarity degree of the identity information is defined as the weighted sum of the similarity degrees of the identity data items, and the formula is expressed as follows:
wherein, Sim (V)i，Vj) Is reference person-related information ViInformation V related to the person to be matchedjSim (Vik, Vjk) indicates the reference person-related information ViInformation V related to the person to be matchedjDegree of similarity of the kth identity data item in (1), WkIs the weight coefficient corresponding to the kth identity data item, WkCan be adjusted, but ∑ Wk＝1。
The degree of similarity for each identity data item is defined as follows, for gender as follows: the same is 1, and the different is 0; for names, the same is 1, the different is 0, and the same pronunciation (pinyin) is a real number between (0, 1); for addresses, it is required that structured addresses be required to participate in the comparison. The structured address format includes, but is not limited to, any one or more specific combinations of address types: province, city, county, town (street office), development area, community (village) main road, main road house number, branch road house number, landmark POI (building, etc.), building number, unit number, floor number, room number.
Setting a preset similarity threshold value, calculating the similarity through the formula, and if the similarity reaches (is more than or equal to) the preset similarity threshold value, the main index management platform can identify the related information V of the person to be matchedjInformation V relating to reference personiAre the same objective entity. If some identity data items are missing, the weight of the identity data item is proportionally distributed to other identity data items. If the identity data items with heavier weight are missing more, the similarity is directly judged to be dissimilar without calculating the similarity. And the main index management platform performs pairwise calculation according to the steps to obtain the overall similarity of the related information of the personnel, and merges the related information of the two personnel participating in the calculation and having the similarity reaching a preset similarity threshold. The general principle is that information with similarity equal to 1 is directly merged. And merging the related information of the personnel with the similarity larger than the first preset value and smaller than the second preset value under manual participation. And finally, the main index management platform extracts the relevant information of the personnel belonging to the same resident, namely the service domain index number and the identity domain index number of the merged relevant information of the personnel, and generates a cross-domain and unique main index of the personnel according to the service domain index number and the identity domain index number.
Preferably, when the similarity is calculated according to the weight matching rule, the related information of the personnel can be grouped and matched according to a key identity data item sorting algorithm, the main idea is that identity data items contained in similar identity information are necessarily equal, the related information of the personnel can be sorted according to the identity data items, the related information of the personnel with the same identity data items is gathered into a plurality of groups after the sorting is finished, and then the related information of the personnel is pairwise compared in each group. When the identity data items are not equal, the related information of the persons to which the identity data items belong is not necessarily similar, so that the person does not need to go outside the group to search for similar records.
S410, acquiring an identity data item and a service data item corresponding to the personnel related information matched with the same resident;
s420, respectively obtaining corresponding identity domain data models and corresponding business domain data models according to the identity data items and the business identification items; the data models comprise domain types, identification action ranges and identification numbers;
s430 generates a corresponding identity domain index number according to the identity domain data model, and generates a corresponding service domain index number according to the service domain data model;
s440 generates a personnel main index according to the identity domain index number and the service domain index number.
Specifically, the personal identifier includes an intra-domain identifier and an identity identifier, and the intra-domain identifier uses service identification information as a unique identifier. For example, all the visit information of a certain patient A is marked by the visit card number, and the disease management domain business information such as hypertension management is marked by the chronic disease management object number, as shown in the following table 1.
Table 1: information table of patient nail
Summarizing, the data items of the uniqueness of the person in the intra-domain identifier comprise four items of information, namely: "service domain type", "identification scope", "identification number". The main index management platform analyzes the personnel related information to obtain corresponding service identification information, and as a calculation model of the service domain identification information is shown in the following figure 3, the main index management platform obtains a corresponding service domain data model according to the mode shown in the figure 3, and finally calculates according to the service domain data model to generate a corresponding service domain index number.
The identification information is a unique index of people across domains. Data items for human uniqueness in cross-domain identification include: the "certificate type", "certificate number" and "certificate action range" are respectively, as the calculation model of the identification information of the identity domain is as shown in fig. 4 below, and as the identity itself is the "identity domain" of a special identification type, the matching items of the identity can also be summarized into four items of information: "identity field" (fixed field), "identity type" (i.e. identity document type), "identity scope (i.e. document scope)," identification number "(i.e. card number). Similarly, the main index management platform obtains the corresponding identity domain data model according to the manner shown in fig. 4, and finally calculates according to the identity domain data model to generate the corresponding identity domain index number. And then the main index management platform generates a personnel main index according to the identity domain index number and the service domain index number. The manner of creating the human master index may be various, and in short, the human master index is calculated and created according to the identity domain index number, the service domain index number and a preset algorithm (for example, a national encryption algorithm such as a hash algorithm, SM1, SM4, SM7, and the like).
Because residents have different service domain identifications in different service domain systems, and resident information between different domains exists independently, the central main index management platform of the prior art constructs a resident cross index by generating a resident unique identification. However, the service domain range of the resident information collected by the nationwide health information platform is wide, the data change is frequent, the updating frequency is high, and meanwhile, with the improvement of the informatization development level and the improvement of the timeliness requirement of the user on data utilization, the mode of regularly calculating the identity uniqueness of the personnel in batches cannot meet the service development requirement, so that the invention provides the algorithm rule and the idea based on the four-section personal identity mark, the personnel main index can be dynamically generated through the rule, the centralized data comparison operation is not needed, the data service can be immediately generated when in occurrence, and the instantaneity problem of the personnel main index generation is realized. The main personnel index of residents is the basis of the construction of the national health information platform, provides cross index service for external application systems, meets the requirement of mutual identification of indexes among different business systems, and provides technical support for unique identification of various systems in the national health information platform on patient identities. The invention makes retrieval aiming at the same patient information in different medical data sources possible, realizes interconnection and intercommunication of the patient information and related medical information, realizes information sharing and avoids data resource waste.
One embodiment of the present invention, as shown in fig. 6, is a method for generating a master index for a person in the medical field, including:
s100, acquiring personnel related information of residents from different medical data sources;
s200, analyzing the related information of the personnel to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information;
s300, according to the identity identification information and the service identification information, respectively adopting corresponding matching rules, carrying out similarity calculation on the related information of each person, and carrying out matching on the related information of the person according to the calculation result;
s400, acquiring data items corresponding to the personnel related information matched with the same resident, and generating a unique personnel main index of the resident according to the data items;
s500, after a personnel main index is generated, acquiring corresponding data items in personnel related information from different medical data sources according to the personnel main index;
s600, generating a corresponding master file according to the data item and a preset generation strategy; the preset generating strategy comprises one or more of a credibility priority strategy and an election strategy.
Specifically, in this embodiment, after the master index management platform generates the master index of the person, a master file is formed for each person entity. The data items of the main file are derived from the data items of different domains, and the main index management platform forms a main file record by generating a strategy. The generation strategy mainly has two forms of an election strategy and a priority strategy. The "election policy" follows a few principles that are subject to majority, for example, if a certain data item is different from data items in other business domains in a certain business domain, the final result should generate a corresponding master file according to the result of the data items in the majority of business domains. The priority policy sets a reliability priority for each domain, preferentially adopts data item information of a service domain with high reliability, and generates a corresponding master file based on the data item of the service domain with the highest reliability priority if data deviation occurs in different information sources. Of course, both generation strategies may be used in combination.
The invention provides a patient main index management platform, which has the specific functions of registering and accessing resident information, forming a personnel main index through an identity matching rule and finally realizing cross-domain resident index. As shown in fig. 7, the master index management platform of the present invention collects the resident information of each business domain, establishes a resident cross index, and forms resident master profile information according to the resident extension information provided by each business domain. On the premise of not modifying the source code, the extension information of residents can be arbitrarily expanded or deleted, and finally, the data items of the personnel master file can be flexibly expanded.
In an embodiment of the present invention, as shown in fig. 8, a system for generating a master index for a person in the medical field includes:
the data access module 1 is used for acquiring personnel related information of residents from different medical data sources;
the attribute analysis module 2 is connected with the data access module 1 and is used for analyzing the personnel related information to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information;
the information matching module 3 is connected with the attribute analysis module 2 and is used for respectively adopting corresponding matching rules according to the identity identification information and the service identification information, carrying out similarity calculation on the related information of each person and carrying out matching on the related information of the person according to the calculation result;
and the main index generating module 4 is connected with the information matching module 3 and is used for acquiring data items corresponding to the personnel related information matched with the same resident and generating a unique personnel main index of the resident according to the data items.
Based on the foregoing embodiment, the data access module 1 obtains the personnel related information of the residents from different medical data sources through a real-time registration mode, a batch registration mode or an original data mirror image capturing mode.
Based on the foregoing embodiment, the primary index generation module 4 includes:
the data item acquisition unit is used for acquiring an identity data item and a service data item which are matched with the related information of the personnel of the same resident;
the data model acquisition unit is connected with the data item acquisition unit and is used for respectively obtaining a corresponding identity domain data model and a corresponding service domain data model according to the identity data item and the service identification item; the data models comprise domain types, identification action ranges and identification numbers;
the identity domain index number generating unit is connected with the data model acquiring unit and is used for generating a corresponding identity domain index number according to the identity domain data model;
the service domain index number generating unit is connected with the data model acquiring unit and is used for generating a corresponding service domain index number according to the service domain data mode;
and the main index generating unit is respectively connected with the identity domain index number generating unit and the service domain index number generating unit and is used for generating the personnel main index according to the identity domain index number and the service domain index number.
Based on the foregoing embodiment, the information matching module 3 specifically includes:
the judging unit is used for judging whether the identity identification information obtained by analysis comprises basic identity information or not; the identity identification information comprises basic identity information and auxiliary identity information;
the first matching unit is connected with the judging unit and used for setting a plurality of identity matching items according to the identity identification information if the identity identification information comprises basic identity information, comparing whether all the identity matching items corresponding to the related information of each person are consistent or not, and determining the related information of the persons with consistent identity matching items as the related information of the persons belonging to the same resident;
and the second matching unit is connected with the judging unit and used for setting a plurality of identity data items and corresponding weight coefficients thereof according to the auxiliary identity information and the extension information if the identity identification information does not comprise the basic identity information, calculating the similarity between the related information of the personnel, and determining that the related information of the two personnel participating in the calculation is related information of the personnel belonging to the same resident if the similarity reaches a preset similarity threshold.
Based on the foregoing embodiment, further comprising: the master file generation module is connected with the master index generation module 4 and used for acquiring corresponding data items in the personnel related information from different medical data sources according to the master index of the personnel after the master index of the personnel is generated and generating a corresponding master file according to the data items and a preset generation strategy; the preset generating strategy comprises one or more of a credibility priority strategy and an election strategy.
Specifically, this embodiment is a device embodiment corresponding to the above method embodiment, and specific effects refer to the above corresponding method embodiment, which is not described in detail herein.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A generation method of a personnel main index applied to the medical field is characterized by comprising the following steps:
acquiring personnel related information of residents from different medical data sources;
analyzing the personnel related information to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information;
according to the identity identification information and the service identification information, respectively adopting corresponding matching rules, carrying out similarity calculation on the related information of each person, and carrying out matching on the related information of the person according to the calculation result;
and acquiring data items corresponding to the personnel related information matched with the same resident, and generating a unique personnel main index of the resident according to the data items.
2. The method for generating the master index of people in medical field according to claim 1, wherein the step of obtaining the people-related information of the residents from different medical data sources specifically comprises the steps of:
and acquiring the personnel related information of residents from different medical data sources in a real-time registration mode, a batch registration mode or an original data mirror image capturing mode.
3. The method for generating the master personal index applied to the medical field according to claim 1, wherein the step of acquiring the data items corresponding to the personnel related information matched with the same resident, and generating the resident unique master personal index according to the data items specifically comprises the steps of:
acquiring an identity data item and a service data item which are matched with the related information of the personnel of the same resident;
respectively obtaining corresponding identity domain data models and corresponding business domain data models according to the identity data items and the business identification items; the data models comprise domain types, identification action ranges and identification numbers;
generating a corresponding identity domain index number according to the identity domain data model, and generating a corresponding service domain index number according to the service domain data model;
and generating the personnel main index according to the identity domain index number and the service domain index number.
4. The method for generating a personal primary index for use in the medical field according to claim 1, wherein the information attribute further includes extension information; the method specifically comprises the following steps of respectively adopting corresponding matching rules according to the identity identification information and the service identification information to calculate the similarity of the related information of each person, and matching the related information of the person according to the calculation result:
judging whether the identity identification information obtained by analysis comprises basic identity information or not; the identity identification information comprises basic identity information and auxiliary identity information;
if the identity identification information comprises basic identity information, setting a plurality of identity matching items according to the identity identification information, comparing whether all identity matching items corresponding to the related information of each person are consistent or not, and determining the related information of the persons with consistent identity matching items as the related information of the persons belonging to the same resident;
if the identity identification information does not comprise basic identity information, a plurality of identity data items and corresponding weight coefficients thereof are set according to the auxiliary identity information and the extension information, the similarity between related information of personnel is calculated, and if the similarity reaches a preset similarity threshold value, the related information of two personnel participating in calculation is determined to be related information of personnel belonging to the same resident.
5. The method for generating the human master index applied to the medical field according to any one of claims 1 to 4, further comprising the steps of:
after the personnel main index is generated, acquiring corresponding data items in the personnel related information from different medical data sources according to the personnel main index;
generating a corresponding main file according to the data item and a preset generation strategy; the preset generating strategy comprises one or more of a credibility priority strategy and an election strategy.
6. A system for generating a master index for a person in the medical field, comprising:
the data access module is used for acquiring personnel related information of residents from different medical data sources;
the attribute analysis module is connected with the data access module and used for analyzing the personnel related information to obtain corresponding information attributes; the information attribute comprises identity identification information and service identification information;
the information matching module is connected with the attribute analysis module and is used for respectively adopting corresponding matching rules according to the identity identification information and the service identification information, carrying out similarity calculation on the related information of each person and carrying out matching on the related information of the person according to the calculation result;
and the main index generating module is connected with the information matching module and used for acquiring data items corresponding to the personnel related information matched with the same resident and generating a unique personnel main index of the resident according to the data items.
7. The system for generating the personal main index applied to the medical field according to claim 6, wherein the data access module obtains the personal related information of the residents from different medical data sources through a real-time registration mode, a batch registration mode or a raw data mirror image capturing mode.
8. The system for generating the human master index applied to the medical field according to claim 6, wherein the master index generating module comprises:
the data item acquisition unit is used for acquiring an identity data item and a service data item which are matched with the related information of the personnel of the same resident;
the data model acquisition unit is connected with the data item acquisition unit and is used for respectively obtaining a corresponding identity domain data model and a corresponding service domain data model according to the identity data item and the service identification item; the data models comprise domain types, identification action ranges and identification numbers;
the identity domain index number generating unit is connected with the data model acquiring unit and is used for generating a corresponding identity domain index number according to the identity domain data model;
a service domain index number generating unit connected with the data model obtaining unit and used for generating a corresponding service domain index number according to the service domain data mode;
and the main index generating unit is respectively connected with the identity domain index number generating unit and the service domain index number generating unit and is used for generating the personnel main index according to the identity domain index number and the service domain index number.
9. The system for generating a master index of a person applied to the medical field according to claim 6, wherein the information matching module specifically comprises:
the judging unit is used for judging whether the identity identification information obtained by analysis comprises basic identity information or not; the identity identification information comprises basic identity information and auxiliary identity information;
the first matching unit is connected with the judging unit and used for setting a plurality of identity matching items according to the identity identification information if the identity identification information comprises basic identity information, comparing whether all the identity matching items corresponding to the related information of each person are consistent or not, and determining the related information of the persons with consistent identity matching items as the related information of the persons belonging to the same resident;
and the second matching unit is connected with the judging unit and used for setting a plurality of identity data items and corresponding weight coefficients thereof according to the auxiliary identity information and the extension information if the identity identification information does not comprise basic identity information, calculating the similarity between related information of personnel, and determining that the related information of two personnel participating in calculation is related information of the personnel belonging to the same resident if the similarity reaches a preset similarity threshold.
10. The system for generating a master index for a person in the medical field according to any one of claims 6 to 9, further comprising:
the master file generation module is connected with the master index generation module and used for acquiring corresponding data items in the relevant information of the personnel from different medical data sources according to the master index of the personnel after the master index of the personnel is generated and generating a corresponding master file according to the data items and a preset generation strategy; the preset generating strategy comprises one or more of a credibility priority strategy and an election strategy.
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