CN102270230A - Method for building electronic document semantic data set of family health file based on general template - Google Patents
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Abstract
The invention relates to a method for building a family general data template and a data set for fully expressing the semantic meaning. The method comprises the following steps of: 1) building a data set template; 2) determining the data type of the health information exchange; 3) determining a semantic data set according to the built data set template; and 4) determining a data element and a value range corresponding to the data element in the semantic data set in step 3). The building method of the general data template and the data set for fully expressing the semantic meaning is characterized by retaining the comprehensiveness of the data in the document and simultaneously enabling the electronic document built by the data set to be kept at structurized state in document content by flexibly building an electronic document by the data set, which is convenient to be identified by a computer, so that the data interoperation of heterogeneous systems is promoted.
Description
Technical Field
The invention relates to a method for constructing heterogeneous family health record information system exchange electronic documents, in particular to a method for constructing a family general data template and a data group which completely express semantics.
Background
The family health record is a file material which is used for recording the basic health condition, the dynamic disease, the utilization condition of preventive health care services and the like generated by family members and the whole family in the medical health care activities by taking the family as a unit. The system mainly comprises basic data of families, family diagrams, family life cycles, family health care, main family problem catalogues, problem descriptions and the like, and is an important component of resident health records.
An Electronic Health Record (EHR) refers to a digital record of health data of a family. An Electronic Health Record System (EHRs) refers to a family electronic health record data storage and retrieval system based on a computer and an information network. The family health record information needs to realize the sharing and exchange of data in the heterogeneous family health record system, and an electronic document capable of supporting interoperation, in particular to a mode of constructing and storing the electronic document supporting interoperation, is necessary.
At present, international standardization organizations such as HL7(Health Level Seven), ihe (integrated Health enterprise) and the like propose a lot of methods and experiences for building heterogeneous system Health archive exchange electronic documents, but due to different requirements of different organizations or countries for building electronic documents, we cannot build our electronic documents by fully referring to their methods.
The content of the electronic document data of the family health record is mainly stored in the system in the form of a Database (Database). A database is a repository that organizes, stores, and manages data according to a data structure. The database can be divided into three types, namely a mesh type database, a hierarchical structure database and a relational database. In the relational database, the operation on the data is almost completely established on one or more relational tables, and the relational tables can be classified, combined, connected or selected, and the like, so that the stored data is convenient to organize and manage. According to the characteristics of the record content of the family health record, the storage mode in the record system mainly adopts the form of a relational database for storage.
At present, partial databases related to family health records exist in China, such as family health record databases in Shanghai city and Cixi city in Zhejiang province, but the family health record databases are not built on the basis of templates and semantic data sets.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a method for constructing a universal data template and a data set for completely expressing semantics.
The technical solution of the invention is as follows: the invention provides a method for constructing a semantic data group of an electronic document of a family health record based on a universal template, which is characterized by comprising the following steps: the method comprises the following steps:
1) constructing a data set template according to the reference information model;
2) determining a data type of the health information exchange; the data type established in the step is the minimum unit of health record information exchange, is an attribute of the data group template in the step 1) and the data element in the data group in the step 3), and is used for restricting the values of the data group template and the data element in the data group.
3) Determining a semantic data set according to the data set template constructed in the step 1);
4) determining the data elements in the semantic data group in the step 3) and the value ranges corresponding to the data elements.
The method for constructing the family health record electronic document semantic data set based on the universal template further comprises the following steps:
5) forming a data group example according to the original document;
6) restoring the document instance by using the data set instance formed in the step 5);
7) judging whether the document example in the step 6) comprises original document content, and if the document example cannot comprise the original document content, performing the step 3); if so, the build process ends.
The data set template constructed in the step 1) comprises identification, general observation, family history and attention problems;
the identification in the data group template comprises a type code, a tone code, an identifier, an identification content code, a display title, a description, an onset time and a confidentiality code;
the general observations in the dataset templates include observation categories, tone codes, template identifiers, observation items, qualitative observations, quantitative observations, and descriptive observations;
family history in the dataset template includes clinical observation category, mood code, organiser template identifier, entry template identifier, family history disease patient affiliation, patient gender, patient death indicia, and patient death time;
the questions of interest in the data set template include clinical observation category, mood code, question item template identifier, observation time, observation missing cause, question observation template identifier, observation item, coded observation, qualitative observation, quantitative observation, descriptive observation, and observation status.
The data types in the step 2) include: instance identifier II, boolean BL, synonymous code type CE, string type ST, point-in-time type TS, physical quantity type PQ, name type PN, postal address type AD, communication type TEL, amount type MO, and organization name type ON;
wherein:
instance identifier II represents an uniquely identifiable identity for the instance;
the Boolean BL is expressed to take the value of true or false, and can also be a null value;
the synonymous coding type CE represents that only one of the alternative types can be selected if and only if;
the character string type ST represents a data type in which a character string is described in a simple text form;
the time point type TS represents a quantity defined on a natural time axis;
the physical quantity type PQ represents data obtained by measurement or calculation, and is composed of numerical values and units;
the name type PN represents the name of the person;
the postal address type AD represents a postal address;
the communication type TEL indicates a telephone number, a facsimile, an Email address;
the amount type MO represents an amount;
the organization name type ON is used to describe the organization name.
The semantic data set determined in the step 3) comprises a primary data set;
the primary data set of the semantic data set comprises identity identification, organization identification, event identification, document identification, health service objects, health service personnel, health organizations, social and economic conditions, home location, home economic conditions, home health conditions, primary relatives, secondary relatives, tertiary relatives and major health problems of the home;
the family economic condition in the primary data group of the semantic data group also comprises a secondary data group, and the secondary data group comprises a general economic condition, a family living condition, the number of household appliances and the number of family vehicles.
The data elements in the first-level data group in the semantic data group in the step 4) and the value ranges corresponding to the data elements are specifically:
the identity mark in the primary data group comprises an identity document class name, an identity document class code system name, an identity document number, an identity document authority name, an identity document effective date and an identity document waste date;
the mechanism identification in the primary data set comprises a health mechanism organization code, a health mechanism category name, a health mechanism category code system name, a health mechanism full name, a health mechanism organization code coding description and a health mechanism effective date;
the event identification in the primary data group comprises an event identifier, an event category name, an event category code system name, an event full name, an event description, an event effective date and an event extinction date;
the document identification in the primary data group comprises a document number, a document category name, a document category code system name, a document full name, a document number coding description, a document issuing mechanism name, a document effective date and a document invalid date;
the health service objects in the primary data set comprise name, gender, birth date, death signs, death time, address, communication, marital status, cultural degree, disability status, residence mode, political face and ethnicity;
the health service personnel in the primary data group comprise names of health personnel, membership mechanisms of the health personnel, task roles, administrative duties and technical duties;
the health mechanisms in the primary data set comprise health mechanism types, health mechanism names, addresses and communication;
the socioeconomic conditions in the primary data set comprise occupation, working conditions, social security, medical security, personal annual income and personal income grade;
the home positions in the primary data group comprise urban and rural marks, home position categories, distances from schools, distances from health rooms, distances from health homes and distances from dispatching places;
the family health condition in the primary data set comprises a rural family livestock fence, garbage disposal, fuel type, kitchen condition description, drinking water type and toilet type;
the first-level relatives in the first-level data set comprise family history diseases, family history disease patient relatives, patient sex, patient death signs and patient death time;
the second degree relatives in the first level data set comprise family history diseases, family history disease patient relatives, patient sex, patient death signs and patient death time;
the third-level relatives in the first-level data set comprise family history diseases, family history disease patient relatives, patient sex, patient death signs and patient death time;
the main health problems of the family in the primary data group comprise observation project names, observation project codes, observation project coding system names, coding observation results, qualitative observation results, quantitative observation results, description observation results and observation result states.
The data elements in the secondary data group in the semantic data group in the step 4) and the value ranges corresponding to the data elements are specifically:
general economic conditions in the secondary data set comprise family categories, economic conditions, major economic sources of families, annual household income and household appliance number;
the family living conditions in the secondary data group comprise family living areas, family population numbers, house types, house conditions and house condition descriptions;
the household appliance condition in the secondary data set comprises a household appliance category name, a household appliance category code and the number of single household appliances;
the home vehicle condition in the secondary data set includes a home vehicle category name, a home vehicle category code, and a single home vehicle quantity.
The data group example formed in the step 5) is an example of forming a data group by restricting the data element attribute in the data group according to the actual service requirement.
The document example restored in the step 6) is a structure for constructing a family health archive document which is actually used by using the semantic data set as a basic unit, and the content of the health archive document is generated by constraint on the metadata attribute of the semantic data set.
The invention has the advantages that:
the method for constructing the semantic data group of the electronic document of the family health record defines the contents of a plurality of semantic data groups by a small number of universal data templates, and can ensure that different semantic data groups constructed by the same template keep consistency in structure and expression mode. The electronic document is flexibly built through the data group, the comprehensiveness of the document data can be kept, meanwhile, the electronic document built through the data group can keep the structural characteristic on the document content, computer identification is facilitated, and therefore data interoperation of a heterogeneous system is promoted.
Drawings
FIG. 1 is a flow diagram of a construction method provided by the present invention;
FIG. 2 is a frame diagram of the semantic data group content of the home health electronic document created by the present invention;
FIG. 3 is a schematic diagram of the structure of the data group identifier established by the present invention;
FIG. 4 is a diagram illustrating the encoding structure of the value range code table established by the present invention.
Detailed Description
Firstly, establishing a data set template according to a reference information model
According to a Reference Information Model (RIM) of HL7, a family dataset template is established, which mainly includes: four templates were identified, general observations, family history, concerns. The specific contents of the template and the elements contained in the template are shown in appendix one.
Secondly, determining the data type which is the minimum unit for exchanging health information according to the completeness of semantics
The value of the data group is restricted by the attribute 'data type', and 11 data types are commonly used in the family health electronic document information exchange, which is shown in table 1.
TABLE 1 family health Profile data type content
Thirdly, establishing a semantic data group according to the family health record service specification and the data template
1. Relationships of dataset templates to semantic datasets
Semantic data sets and data elements may be generated by constraining the attributes of elements in the data set template. Generating semantic data set identity identification, mechanism identification, event identification and document identification according to the data set template identification; the data set template 'general observation' generates semantic data sets 'health service object, health service personnel, health organization, social and economic condition (householder), family position, family economic condition and family health condition'; the data set template 'family history' generates semantic data sets 'first-level relatives, second-level relatives and third-level relatives'; the data set template "concern problem" produces the semantic data set "family major health problem". The appendix II is a semantic data set and a data element of 'identity identification, mechanism identification, event identification and document identification' generated according to the 'identification' of the data set template.
2. Semantic data set structure
According to the health record data group template and the family health record service specification, 19 semantic data groups are defined, the semantic data groups are divided into 15 primary data groups and 4 secondary data groups, and the semantic data groups are used for building various health record electronic documents, wherein the primary data groups comprise: identity, institution identity, event identity, document identity, health service object, health service person, health institution, socioeconomic status (householder), home location, homeeconomic status, homehealth status, primary relative, secondary relative, tertiary relative, and major health problem of the home. The family economic condition comprises 4 secondary data sets of general economic condition, family living condition, household appliance number and family vehicle number. The content architecture of the semantic data set of the family health electronic document is shown in fig. 2.
3. Data group identifier
To facilitate management and reuse of the data groups, 19 data groups are given identifiers, respectively, which are composed of alphanumeric codes with a total length of 5 bits at the beginning of a DG. The identifiers are arranged from left to right in sequence, and the structure is shown in fig. 3, wherein:
DG-represents a Data Group;
template number-4 templates are identified by 1, 2, 3, 4, respectively.
Sequence number-represented by a 2-bit number, encoded starting from 01.
The content and identifier of the semantic data set are described in appendix two.
Defining data elements of data group and value range thereof
1. Name of data element in data group
Each semantic data set comprises a certain number of data elements, for example, the data set 'identity mark' comprises 6 data elements of 'identity document class name, identity document class code system name, identity document authority name, identity document effective date and identity document invalid date'. The 19 data sets contain a total of 112 data elements. See appendix two.
2. Properties of data elements
(1) Number of repetitions
And (3) constraining the use rule of the data elements in the data set by using the repetition times, wherein the format of the repetition times is 'a.. b', and the values of a and b are numbers. a represents that a data element in a data set may occur at least several times, b represents that a data element may occur at most several times in a particular context, e.g., "0.. 1" represents that a data element may not occur or may occur at most 1 time, "1.. 1" represents that this data element may occur only once, "1.. 2" represents at least 1 time and at most 2 times, and "1.. indicates that it may occur 1 or more times (" a "represents multiple times).
(2) Data type
The value of the data element is restricted by the attribute 'data type', and the common data types of the data element in the semantic data group of the family health electronic document are 11, which is shown in table 1.
3. Data element value field
(1) Identifier
In order to facilitate the management and use of value range codes, each value range is coded, and the coding structure is 8-bit alphanumeric mixed codes starting from VD and comprises 1 separator. Arranged sequentially from left to right. The structure is shown in fig. 3. Wherein,
VD-represents the data element Value field, Value Domain;
major class code-3 digits, the last three digits of the data set identifier where this data element is located;
sequence number-represented by a 2-bit number, encoded starting from 01.
(2) Value range content
For a data element with a data type of "name" or "code", a value range code table is corresponding to the data element, and is used for limiting the value range of the data element. A total of 14 value range code tables were prepared for the 19 data sets (see appendix three).
Fifthly, forming a data group example according to actual service requirements
An example of a data set may be formed by constraining the attributes of the data elements in the data set according to actual business requirements, such as the example of the semantic data set "health service object" in table 2.
TABLE 2 data set "sanitation service object" example
Sixth, restoring the document instance by the data set
The semantic data set is used as a basic unit to build a structure of a family health archive document (such as a health archive of a farmer (resident) family in Gulange county of Gansu Wuwei city) which is actually used, and the content of the health archive document is generated through constraint on the metadata attribute of the semantic data set. The health record of the farmer (resident) family in Gulange county of Gansu Wuwei City can be built by 12 data sets, and the structure and the content of the health record of the farmer (resident) family in Gulange county can be generated through the constraint of the attributes of the data sets, and the details can be seen in appendix four.
Appendix one: general data group template for family health archives
Appendix two: relationships between dataset template "identity" and semantic datasets
Remarking: the content of the black in the semantic data set is the data element contained in each data set.
Appendix three: family health record semantic data group list
Appendix four: data set value domain code table
Identity document category code table (VD101.01)
| Value of | Meaning of value |
| 001 | Resident identification card |
| 002 | Passport |
| 003 | Taiwan syndrome/pattern |
| 004 | Hongkong and Macao pass |
| 005 | Officer's card |
| 101 | Medical treatment certificate |
| 102 | Social security card |
| 103 | New agriculture and society medical card |
| 104 | Medical health card |
| 201 | Disability card |
| 202 | Clinic number |
| 203 | Number of hospitalization |
| 301 | Work card |
| 302 | Shop number |
Sanitary institution classification code table (VD102.01)
| Value of | Meaning of value |
| 01 | Village sanitary room |
| 02 | Sanitary hospital for villages and towns |
| 03 | District (county) hospital |
| 04 | City hospital |
| 05 | Community health service station |
| 06 | Community health service center |
| 07 | District (county) disease control center |
| 08 | Control center for disease in market |
Event type code table (VD103.01)
| Value of | Meaning of value |
| 01 | Family information registration |
| 02 | Town resident profiling information registration |
| 03 | Farmer profiling information registration |
| 04 | Physical examination |
| 05 | Follow-up visit of community doctors |
| Value of | Meaning of value |
| 06 | Outpatient service |
| 07 | Hospitalization with a drug |
| 08 | Vaccination |
| 09 | Infectious disease report |
| 10 | Special investigation |
| 99 | Death report |
Task role code table (VD202.01)
| Value of | Meaning of value |
| 1 | Responsible doctor |
| 2 | Document builder |
| 3 | Person in charge of unit |
| 4 | Physical examination doctor |
| 5 | Investigator |
Family classification code table (VD206.01)
| Value of | Meaning of value |
| 1 | General farmer |
| 2 | Five-protection household |
| 3 | Poverty of the house |
| 4 | Specially stranded house |
| 5 | Jun dynasty genus |
House type code table (VD206.02)
| Value of | Meaning of value |
| 1 | Earth house |
| 2 | Thatch house |
| 3 | Wooden house |
| 4 | Brick and tile bungalow |
| 5 | Brick and tile building |
| 9 | Others |
Household appliance category code table (VD206.03)
| Value of | Meaning of value |
| 1 | Colour TV set |
| 2 | Black and white TV set |
| 3 | Refrigerator with a door |
| 4 | Air conditioner |
| 5 | Washing machine |
| 6 | Computer with a display |
Family vehicle class code table (VD206.04)
| Value of | Meaning of value |
| 1 | Motorcycle with a motorcycle body |
| 2 | Power-assisted vehicle |
| 3 | Bicycle with a wheel |
| 4 | Automobile |
Fuel type code table (VD207.01)
| Value of | Meaning of value |
| 1 | Liquefied gas |
| 2 | Coal (coal) |
| 3 | Natural gas |
| 4 | Biogas |
| 5 | Firewood |
| 9 | Others |
Code table for drinking water type (VD207.02)
| Value of | Meaning of value |
| 1 | Tap water |
| 2 | Purified and filtered water |
| 3 | Well water |
| 4 | River and lake water |
| 5 | Pond water |
| 9 | Others |
Toilet type code table (VD207.03)
| Value of | Meaning of value |
| 1 | Sanitary toilet |
| 11 | Three-grid type manure pit |
| 12 | Double-tumbler funnel type |
| 13 | Triple methane tank type |
| 14 | Excrement and urine separated type |
| 15 | Complete sewer type |
| 16 | Water flushing type |
| 17 | Double-pit alternating type |
| 19 | Other sanitary toilets |
| 2 | Non-sanitary toilet |
| 21 | One-grid or two-grid septic tank type |
| 22 | Toilet bowl |
| 23 | Open-air manure pit |
| 24 | Simple toilet shed |
| 29 | Other non-hygienic lavatories |
Family history disease code table (VD301.01)
| Value of | Meaning of value |
| 01 | Hypertension (hypertension) |
| 02 | Diabetes mellitus |
| 03 | Coronary heart disease |
| 04 | Malignant tumor |
| 05 | Allergy (S) |
| 06 | Schizophrenia |
| 07 | Tuberculosis (tuberculosis) |
| 08 | Hepatitis (HAV) |
| 09 | Cerebral apoplexy |
| 10 | Congenital malformation |
Main health problem code table (VD401.01)
| Value of | Meaning of value |
| 01 | Drug allergy |
| 02 | Genetic problem |
| 03 | Excessive drinking |
| 04 | Smoking |
| Value of | Meaning of value |
| 05 | Divorce marriage |
| 06 | Funeral doll |
| 07 | Infectious diseases |
| 08 | Chronic disease |
| 0801 | Hypertension (hypertension) |
| 0802 | Diabetes mellitus |
| 0803 | Tumor(s) |
| 0804 | Cardiovascular and cerebrovascular diseases |
| 0805 | Chronic respiratory diseases |
| 0809 | Other chronic diseases |
| 09 | Abnormality of persistent health index |
| 10 | Disabled person |
| 99 | Other health problems |
Observation state code (VD401.02)
| Value of | Meaning of value |
| 1 | active (Activity) |
| 2 | suspended (pause) |
| 3 | aborted (incomplete) |
| 4 | completed (completion) |
Appendix four: example of restoring 'Gulang county agriculture (living) family health archive document' by data group
Claims (9)
1. A method for constructing a semantic data group of an electronic document of a family health record based on a universal template is characterized by comprising the following steps: the method comprises the following steps:
1) constructing a data set template;
2) determining a data type of the health information exchange;
3) determining a semantic data set according to the data set template constructed in the step 1);
4) determining the data elements in the semantic data group in the step 3) and the value ranges corresponding to the data elements.
2. The method for constructing the family health record electronic document semantic data set based on the universal template as claimed in claim 1, is characterized in that: the method for constructing the family health record electronic document semantic data set based on the universal template further comprises the following steps:
5) forming a data group example according to the original document;
6) restoring the document instance by using the data set instance formed in the step 5);
7) judging whether the document example in the step 6) comprises original document content, and if the document example cannot comprise the original document content, performing the step 3); if so, the build process ends.
3. The method for constructing the family health record electronic document semantic data set based on the universal template as claimed in claim 1 or 2, is characterized in that: the data set template constructed in the step 1) comprises identification, general observation, family history and concern questions;
the identification in the data group template comprises a type code, a tone code, an identifier, an identification content code, a display title, a description, an onset time and a confidentiality code;
the general observations in the dataset templates include observation categories, tone codes, template identifiers, observation items, qualitative observations, quantitative observations, and descriptive observations;
family history in the dataset template includes clinical observation category, mood code, organiser template identifier, entry template identifier, family history disease patient affiliation, patient gender, patient death indicia, and patient death time;
the questions of interest in the data set template include clinical observation category, mood code, question item template identifier, observation time, observation missing cause, question observation template identifier, observation item, coded observation, qualitative observation, quantitative observation, descriptive observation, and observation status.
4. The method for constructing the family health record electronic document semantic data set based on the universal template as claimed in claim 3, is characterized in that: the data types in the step 2) comprise: instance identifier II, boolean BL, synonymous code type CE, string type ST, point-in-time type TS, physical quantity type PQ, name type PN, postal address type AD, communication type TEL, amount type MO, and organization name type ON;
wherein:
instance identifier II represents an uniquely identifiable identity for the instance;
the Boolean BL is expressed to take the value of true or false, and can also be a null value;
the synonymous coding type CE represents that only one of the alternative types can be selected if and only if;
the character string type ST represents a data type in which a character string is described in a simple text form;
the time point type TS represents a quantity defined on a natural time axis;
the physical quantity type PQ represents data obtained by measurement or calculation, and is composed of numerical values and units;
the name type PN represents the name of the person;
the postal address type AD represents a postal address;
the communication type TEL indicates a telephone number, a facsimile, an Email address;
the amount type MO represents an amount;
the organization name type ON is used to describe the organization name.
5. The method for constructing the family health record electronic document semantic data set based on the universal template as claimed in claim 4, is characterized in that: the semantic data set determined in the step 3) comprises a primary data set;
the primary data set of the semantic data set comprises identity identification, organization identification, event identification, document identification, health service objects, health service personnel, health organizations, social and economic conditions, home location, home economic conditions, home health conditions, primary relatives, secondary relatives, tertiary relatives and major health problems of the home;
the family economic condition in the primary data group of the semantic data group also comprises a secondary data group, and the secondary data group comprises a general economic condition, a family living condition, the number of household appliances and the number of family vehicles.
6. The method for constructing the family health record electronic document semantic data set based on the universal template as claimed in claim 5, is characterized in that: the data elements in the first-level data group in the semantic data group in the step 4) and the value ranges corresponding to the data elements are specifically:
the identity mark in the primary data group comprises an identity document class name, an identity document class code system name, an identity document number, an identity document authority name, an identity document effective date and an identity document waste date;
the mechanism identification in the primary data set comprises a health mechanism organization code, a health mechanism category name, a health mechanism category code system name, a health mechanism full name, a health mechanism organization code coding description and a health mechanism effective date;
the event identification in the primary data group comprises an event identifier, an event category name, an event category code system name, an event full name, an event description, an event effective date and an event extinction date;
the document identification in the primary data group comprises a document number, a document category name, a document category code system name, a document full name, a document number coding description, a document issuing mechanism name, a document effective date and a document invalid date;
the health service objects in the primary data set comprise name, gender, birth date, death signs, death time, address, communication, marital status, cultural degree, disability status, residence mode, political face and ethnicity;
the health service personnel in the primary data group comprise names of health personnel, membership mechanisms of the health personnel, task roles, administrative duties and technical duties;
the health mechanisms in the primary data set comprise health mechanism types, health mechanism names, addresses and communication;
the socioeconomic conditions in the primary data set comprise occupation, working conditions, social security, medical security, personal annual income and personal income grade;
the home positions in the primary data group comprise urban and rural marks, home position categories, distances from schools, distances from health rooms, distances from health homes and distances from dispatching places;
the family health condition in the primary data set comprises a rural family livestock fence, garbage disposal, fuel type, kitchen condition description, drinking water type and toilet type;
the first-level relatives in the first-level data set comprise family history diseases, family history disease patient relatives, patient sex, patient death signs and patient death time;
the second degree relatives in the first level data set comprise family history diseases, family history disease patient relatives, patient sex, patient death signs and patient death time;
the third-level relatives in the first-level data set comprise family history diseases, family history disease patient relatives, patient sex, patient death signs and patient death time;
the main health problems of the family in the primary data group comprise observation project names, observation project codes, observation project coding system names, coding observation results, qualitative observation results, quantitative observation results, description observation results and observation result states.
7. The method for constructing the family health record electronic document semantic data set based on the universal template as claimed in claim 6, is characterized in that: the data elements in the secondary data group in the semantic data group in the step 4) and the value ranges corresponding to the data elements are specifically:
general economic conditions in the secondary data set comprise family categories, economic conditions, major economic sources of families, annual household income and household appliance number;
the family living conditions in the secondary data group comprise family living areas, family population numbers, house types, house conditions and house condition descriptions;
the household appliance condition in the secondary data set comprises a household appliance category name, a household appliance category code and the number of single household appliances;
the home vehicle condition in the secondary data set includes a home vehicle category name, a home vehicle category code, and a single home vehicle quantity.
8. The method for constructing the family health record electronic document semantic data set based on the universal template as claimed in claim 2, is characterized in that: the data group example formed in the step 5) is an example of forming a data group by restricting the data element attribute in the data group according to the actual service requirement.
9. The method for constructing the family health record electronic document semantic data set based on the universal template as claimed in claim 8, is characterized in that: the file example restored in the step 6) is a structure for constructing a family health archive file which is actually used by using the semantic data set as a basic unit, and the content of the health archive file is generated by constraint on the metadata attribute of the semantic data set.
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| CN103679594A (en) * | 2012-09-18 | 2014-03-26 | 张旭峰 | Personal health information storage system based on personal health record model |
| CN104011711A (en) * | 2011-12-27 | 2014-08-27 | 皇家飞利浦有限公司 | Text analysis system |
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| CN106777970A (en) * | 2016-12-15 | 2017-05-31 | 北京锐软科技股份有限公司 | The integrated system and method for a kind of medical information system data template |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104011711A (en) * | 2011-12-27 | 2014-08-27 | 皇家飞利浦有限公司 | Text analysis system |
| CN103679594A (en) * | 2012-09-18 | 2014-03-26 | 张旭峰 | Personal health information storage system based on personal health record model |
| CN104978478A (en) * | 2014-04-09 | 2015-10-14 | 佳能株式会社 | Information processing apparatus, information processing method |
| CN104978478B (en) * | 2014-04-09 | 2018-08-31 | 佳能株式会社 | Information processing unit and information processing method |
| CN106485084A (en) * | 2016-10-18 | 2017-03-08 | 北京博瑞彤芸文化传播股份有限公司 | Integration processing method towards domestic consumer's sign data |
| CN106777970A (en) * | 2016-12-15 | 2017-05-31 | 北京锐软科技股份有限公司 | The integrated system and method for a kind of medical information system data template |
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