CN109300551A - Clinic diagnosis knowledge acquisition method and device - Google Patents
Clinic diagnosis knowledge acquisition method and device Download PDFInfo
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Abstract
This disclosure relates to a kind of clinic diagnosis knowledge acquisition method and device, this method comprises: receiving search key；There are the target clinic diagnosis terms of mapping relations with search key for lookup in default clinic diagnosis terminology；Clinic diagnosis service logic is triggered according to target clinic diagnosis term；The first instruction is received, clinic diagnosis content corresponding with first instruction is presented；First instruction is used to indicate the default flow nodes jumped in clinic diagnosis business；Clinic diagnosis is generated as a result, the program allows users to more easily know medical treatment result, to obtain clinic diagnosis decision according to target clinic diagnosis term and clinic diagnosis content.
Description
Technical field
This disclosure relates to database technical field, and in particular, to a kind of clinic diagnosis knowledge acquisition method and device.
Background technique
Controlled vocabularies are also known as managing terminology table, controlled vocabulary table or control vocabulary, are that a kind of pair of knowledge is subject to tissue
It arranges, so as to the subsequent means retrieved.Controlled vocabularies Index Transform of Topic Words scheme, thesaurus, thesaurus, classification with
And has to apply among the semantic spectrum member such as ontology and be located at core status in the Data processing of medical information exchange.Clinic diagnosis
Information system is connected by a series of engines with Controlled vocabularies, thus realize to the index of clinical data, storage, retrieval and
Polymerization, convenient for computer disposal, exchange clinical information (semantic interoperability).However, in medical field, clinic diagnosis terminology
It is also a preliminary medical document format standard directive document, the medical system based on the exploitation of clinical treatment terminology is simultaneously
Entire diagnosis and treatment process can not be presented for user, not have complete term function of exchange.
Summary of the invention
Purpose of this disclosure is to provide a kind of clinic diagnosis knowledge acquisition method and devices, to solve the relevant technologies Chinese medicine
Treatment system does not have the problem of complete term function of exchange.
Present disclose provides a kind of clinic diagnosis knowledge acquisition methods, this method comprises: receiving search key；Default
There are the target clinic diagnosis terms of mapping relations with the search key for lookup in clinic diagnosis terminology；According to the mesh
It marks clinic diagnosis term and triggers clinic diagnosis service logic；When receiving the first instruction, present corresponding with first instruction
Clinic diagnosis content, first instruction are used to indicate the default flow nodes jumped in clinic diagnosis business；According to described
Target clinic diagnosis term and the clinic diagnosis content generate clinic diagnosis result.
Optionally, the method also includes: before receiving the search key, clinic diagnosis terms classification is stored
Into preset data model, clinic diagnosis terminology is formed；The second instruction is received, which is used to indicate the clinic and examines
Treat the mapping relations in terminology between each clinic diagnosis term；It is established in the clinic diagnosis term according to second instruction
Mapping relations between each clinic diagnosis term.
Optionally, described to store clinic diagnosis terms classification into preset data model, clinic diagnosis terminology is formed,
Include: to divide the clinic diagnosis term according to conceptual term, operational term and systematicness term, will divide
The clinic diagnosis term afterwards is stored into expansible two-dimensional table；The conceptual term comprises at least one of the following: examining
Disconnected term, drug term check and examine term, treatment operation term, medical staff's master index, Main index of patients and hospital master
Index；The operability term comprises at least one of the following: doctor's advice, which is opened ,/audit/executes operation, typing operation record behaviour
Newly-increased/deletion/inquiry/editor/" locked in " operation of work and diagnosis and treatment term；The systematicness term is referred to by the third received
It enables and being generated according to the conceptual term and the operational term, the third instruction, which is used to indicate to preset, combines logic.
Optionally, the method also includes: store by clinic diagnosis terms classification into preset data model, formation is faced
After bed diagnosis and treatment terminology, attribute-name, proprietary data formats and the attribute of term attribute are saved by expansible two-dimensional table
Remarks form term attribute registration table, and the clinic diagnosis term includes at least one term entry, and the term entry includes
At least one term attribute.
Optionally, described that clinic diagnosis knot is generated according to the target clinic diagnosis term and the diagnosis and treatment service order
Fruit, comprising: according to the mapping relations and the target diagnosis and treatment term and the clinic between the target clinic diagnosis term
Mapping relations between diagnosis and treatment content generate the relation map comprising clinic diagnosis result.
The disclosure additionally provides a kind of clinic diagnosis knowledge acquisition device, comprising: the first receiving module, for receiving retrieval
Keyword；Searching module, for searching in default clinic diagnosis terminology, there are mapping relations with the search key
Target clinic diagnosis term；Trigger module, for triggering clinic diagnosis service logic according to the target clinic diagnosis term；It is in
Existing module, for clinic diagnosis content corresponding with first instruction, first instruction when receiving the first instruction, to be presented
It is used to indicate the default flow nodes jumped in clinic diagnosis business；Generation module, for according to the target clinic diagnosis
Term and the clinic diagnosis content generate clinic diagnosis result.
Optionally, described device further include: the first memory module, for will face before receiving the search key
Bed diagnosis and treatment terms classification is stored into preset data model, forms clinic diagnosis terminology；Second receiving module, for receiving the
Two instructions, second instruction are used to indicate the mapping relations in the clinic diagnosis terminology between each clinic diagnosis term；It builds
Formwork erection block is closed for establishing the mapping in the clinic diagnosis term between each clinic diagnosis term according to second instruction
System.
Optionally, first memory module is used for: by the clinic diagnosis term according to conceptual term, operational art
Language and systematicness term are divided, and the clinic diagnosis term after division is stored into expansible two-dimensional table；Institute
State conceptual term to comprise at least one of the following: diagnosis term, drug term check and examine term, treatment operation term, medical care
Personnel's master index, Main index of patients and hospital's master index；The operability term comprises at least one of the following: doctor's advice is opened
Newly-increased/deletion/inquiry/editor/" locked in " operation of vertical/audit/execution operation, the operation of typing operation record and diagnosis and treatment term；
The systematicness term is generated by the third instruction received according to the conceptual term and the operational term, described
Third instruction is used to indicate default in conjunction with logic.
Optionally, described device further include: the second memory module, for before receiving search key, clinic to be examined
It treats terms classification to store into preset data model, is formed after clinic diagnosis terminology, saved by expansible two-dimensional table
Attribute-name, proprietary data formats and the attribute remarks of term attribute form term attribute registration table, the clinic diagnosis term
Including at least one term entry, the term entry includes at least one term attribute.
Optionally, the generation module is used for: according to the mapping relations between the target clinic diagnosis term, Yi Jisuo
The mapping relations stated between target diagnosis and treatment term and the clinic diagnosis content generate the relation map comprising clinic diagnosis result.
The scheme that embodiment of the disclosure provides, the search key that can be provided based on user are that user's presentation clinic is examined
The content of each flow nodes during treatment allows users to quickly and conveniently know clinic diagnosis result.
Other feature and advantage of the disclosure will the following detailed description will be given in the detailed implementation section.
Detailed description of the invention
Attached drawing is and to constitute part of specification for providing further understanding of the disclosure, with following tool
Body embodiment is used to explain the disclosure together, but does not constitute the limitation to the disclosure.In the accompanying drawings:
Fig. 1 is the flow chart of the illustrative clinic diagnosis result generation method of the disclosure one.
Fig. 2 is the register flow path schematic diagram of the illustrative clinic diagnosis terminology bank of the disclosure one.
Fig. 3 is the register flow path schematic diagram of the illustrative clinic diagnosis term of the disclosure one.
Fig. 4 is the data structure schematic diagram of the illustrative clinic diagnosis term of the disclosure one.
Fig. 5 is the structural block diagram of the illustrative clinic diagnosis result generating means of the disclosure one.
Specific embodiment
It is described in detail below in conjunction with specific embodiment of the attached drawing to the disclosure.It should be understood that this place is retouched
The specific embodiment stated is only used for describing and explaining the disclosure, is not limited to the disclosure.
Present disclose provides a kind of clinic diagnosis knowledge acquisition method, Fig. 1 is the flow chart of this method, as shown in Figure 1, should
Method includes the following steps:
S101: search key is received；
Exemplary, which is provided by user, specifically can be method input or selection by human-computer interaction
Search key.
S102: there are the targets of mapping relations for the search key searched and received in default clinic diagnosis terminology
Clinic diagnosis term；
Wherein, the foundation for presetting clinic diagnosis terminology can be to execute before executing S101, specifically, examine receiving
Before rope keyword, clinic diagnosis terms classification is stored into preset data model, forms clinic diagnosis terminology；Receive the
Two instructions, second instruction are used to indicate the mapping relations in clinic diagnosis terminology between each clinic diagnosis term；According to
The mapping relations in clinic diagnosis term between each clinic diagnosis term are established in two instructions.
Exemplary, a clinic diagnosis term may include at least one term entry, the term entry may include to
A few term attribute.Store by clinic diagnosis terms classification into preset data model, formed clinic diagnosis terminology it
Afterwards, attribute-name, proprietary data formats and the attribute remarks that term attribute can be saved by expansible two-dimensional table, form art
Language attribute logging table.And each term entry in more complicated clinic diagnosis term may include multiple term attributes, art
Language attribute is also required to register and edit by expansible two-dimensional table, the content of term attribute also may include attribute-name/
Proprietary data formats/attribute remarks.
Exemplary, the two-dimensional table of n*m specifically can be used as master data in the preset data model pointed out in S102
The clinic diagnosis term tool of model carries out structured management, editor to clinic diagnosis terminology and uses.One initial
, general expansible n*m two-dimensional table it is as shown in table 1 below:
Table 1
The data type of every column data is answered almost the same in above-mentioned table 1.User can carry out data model structure based on table 1
It builds and data editing operations.Wherein, row n, column m can spread, to customize complicated column data model.In the disclosure, often
A clinic diagnosis term is required to register by expansible two-dimensional table, be edited, and forms term registration table, each clinic diagnosis art
The content of language may include term name, terminology data format and term remarks.
Being related in S101 may include: by clinic diagnosis term according to conceptual to the classification of clinic diagnosis term
Term, operational term and systematicness term are divided；Conceptual term may include the concept term of clinical knowledge
And the concept term of clinical business.The concept of clinical knowledge such as diagnoses, drug, checks and examine, treat operation, clinical
Concept of business such as department, medical staff's master index, Main index of patients and hospital's master index etc..This is described for clarity
A little concepts, can be used different structured attributes, and user can customized term and its attribute.Conceptual term includes following
At least one: diagnosis term, drug term check and examine term, treatment operation term, medical staff's master index, patient's main rope
Regard it as and hospital's master index；Operational term is to be abstracted the various business operation steps with universal workflow property,
And it is packaged into the function model such as " data-interface ", user can call these operational functions by configuration parameter.Example
, operational term comprises at least one of the following: doctor's advice, which is opened ,/audit/executes operation, the operation of typing operation record and examines
Treat newly-increased/deletion/inquiry/editor/" locked in " operation of term.Systematicness term is then complex, as " penicillin skin test is positive
Patient disables penicillin and cephalosporins medicine ", conceptual term (such as drug ingedient classification, medication can be used in user
Deng), operational term (such as drug skin test opens medication), the programming term provided in conjunction with term system develops work
Tool (such as judgement, course changing control logic), customized systematicness term, i.e. business rule.Namely systematicness term is by receiving
To the default third instruction in conjunction with logic that is used to indicate generated according to conceptual term and operational term.
In the disclosure, the versatility service logic structuring in various clinic information systems can be expressed, formed with
Clinical use diagnosis and treatment path is the medical knowledge base of core, and the establishment step of the medical knowledge base is divided into the registration and art of terminology bank
Language registration, the register flow path of terminology bank is as shown in Fig. 2, the register flow path of term is as shown in Figure 3.
In the disclosure, clinic diagnosis terminology is established to need to accomplish the unifying identifier to same service concept.So
May be implemented the information exchange (also referred to as interoperability/Information Interoperability) between different business systems, no matter user using how
Expression way, e.g., renal failure/uremia/renal insufficiency/..., expressed by be that the same diagnostics concept " secrete by kidney
It is impaired to urinate function ", a unique diagnosis term Entry ID is corresponded to, system will identify this concept, and regard user role, field
The parameters such as scape return to relevant to the diagnosis various knowledge points to user, such as parting, by stages, medication, check and examine, treat hand
Art, health propaganda and education, DOCTOR & HOSPITAL etc..
The data structure of class mind map can be used in clinic diagnosis term in the disclosure, is based on this kind of data structure,
User be free to define standard terminology, without going down work in specific frame.Exemplary, this kind of data structure can be with
As shown in Figure 4.Such data structure can all collect in all terms in one big table, by direction between each term and
Adduction relationship ultimately forms the same data structure of mind map as shown in Figure 4, and relationship and table structure mutual between term
The independence of user can be improved by user's self-defining.
After the clinic diagnosis data being involved in all establish index, it can use semantic analysis or dichotomy gone point
The search key that user provides is analysed, goes to match with different indexes respectively.The search key that can be provided by user is fast
Relevant clinic diagnosis term knowledge is found in quick checking.
S103: clinic diagnosis service logic is triggered according to target clinic diagnosis term；
In S103, after obtaining target clinic diagnosis term, i.e., there are the clinic diagnosis of mapping relations with the term for triggering
Service logic, to drive related service workflow.For example, the keyword such as renal failure/uremia/renal function provided according to user
Incomplete, primarily determining that diagnosis expressed by user needs concept is " kidney urinary function is impaired ", which corresponds to one
A only one diagnoses term Entry ID, identifies this concept, according to parameters such as user role and current scenes, can to
Family returns to relevant to the diagnosis term entry various knowledge points/or jumps to specified process flow, such as parting, by stages, use
Medicine, inspection are examined, treatment is performed the operation, health publicizes or DOCTOR & HOSPITAL is recommended etc..
S104: when receiving the first instruction, being presented clinic diagnosis content corresponding with first instruction, first instruction
It is used to indicate the default flow nodes jumped in clinic diagnosis business；
For the content presented in above-mentioned S103, user can choose further to be presented into next process, or selection
Other content.User issues the first instruction, then in S104, receives first instruction, and clinic corresponding with the instruction is presented
Specified services node indicated by the instruction is perhaps jumped in diagnosis and treatment.
S105: clinic diagnosis result is generated according to target clinic diagnosis term and clinic diagnosis content.
In S105, clinic diagnosis result is generated according to target clinic diagnosis term and diagnosis and treatment service order, comprising: root
According to the mapping relations between the mapping relations and target diagnosis and treatment term and clinic diagnosis content between target clinic diagnosis term
Generate the relation map comprising clinic diagnosis result.It is exemplary, the internal anatomy with hot spot can be generated.Based on this, can be
First specified map and data are bound by advanced level user, can be obtained in this way by the function of data link to map.Secondly, facing
For bed in use, can be using map as the presentation content of certain service node in diagnosis and treatment process, doctor, which can choose, directly clicks figure
Spectrum is to replace literal data.
In addition, on the basis of S105, it can also be by analyzing user's use habit, user's frequency of usage, department uses
The frequency provides the search result of recommendation.
Based on the clinic diagnosis knowledge acquisition method that the disclosure provides, it is crucial that user can provide a series of retrievals to system
Word, system is according to parameters such as the role of user (for example, the role of user is doctor or patient), scenes, in conjunction with certain man-machine
Interactive process, by these Keywords matchings to specific clinic diagnosis term/term entry/attribute/attribute-value, triggering has been saved
In the relationship map of relevant position, to call more relational languages/term entry/attribute/attribute-value, related service is driven
Workflow realizes such as result queries/documents editing/data mining function, and return to conjunction until meeting the business demand of user
Suitable business result record.
The disclosure additionally provides a kind of clinic diagnosis knowledge acquisition device, and Fig. 5 is the structural block diagram of the device, such as Fig. 5 institute
Show, which includes following component part:
First receiving module 51, for receiving search key；
Searching module 52, for searching in default clinic diagnosis terminology, there are the mesh of mapping relations with search key
Mark clinic diagnosis term；
Trigger module 53, for triggering clinic diagnosis service logic according to target clinic diagnosis term；
Module 54 is presented, for receiving the first instruction, clinic diagnosis content corresponding with first instruction is presented；First refers to
Order is used to indicate the default flow nodes jumped in clinic diagnosis business；
Generation module 55, for generating clinic diagnosis result according to target clinic diagnosis term and clinic diagnosis content.
The generation module 55 specifically can be used for: according to the mapping relations and target between target clinic diagnosis term
Mapping relations between diagnosis and treatment term and clinic diagnosis content generate the relation map comprising clinic diagnosis result.
Above-mentioned apparatus 50 can further include following module:
First memory module, for before the first receiving module 51 receives search key, clinic diagnosis term to be divided
Class is stored into preset data model, forms clinic diagnosis terminology；First memory module specifically can be used for: clinic is examined
It treats term to be divided according to conceptual term, operational term and systematicness term, by the clinic diagnosis term after division
It stores into expansible two-dimensional table；Conceptual term comprises at least one of the following: diagnosis term, is checked and is examined drug term
Term and treatment operation term；Operational term comprises at least one of the following: doctor's advice is opened, and/audit/executes operation, typing
Newly-increased/deletion/inquiry/editor/" locked in " operation of operation record operation and diagnosis and treatment term；Systematicness term by receive
Three instructions are generated according to conceptual term and operational term, and third instruction, which is used to indicate to preset, combines logic.
Second receiving module, for receiving the second instruction, the second instruction is used to indicate each clinic in clinic diagnosis terminology
Mapping relations between diagnosis and treatment term；Module is established, for establishing each clinic diagnosis in clinic diagnosis term according to the second instruction
Mapping relations between term.
Above-mentioned apparatus 50 can further include: the second memory module, for will face before receiving search key
Bed diagnosis and treatment terms classification is stored into preset data model, is formed after clinic diagnosis terminology, is passed through expansible two-dimensional table
Attribute-name, proprietary data formats and the attribute remarks of term attribute are saved, term attribute registration table, clinic diagnosis term are formed
Including at least one term entry, term entry includes at least one term attribute.
The complexity of medical terminology data structure is to restrict the problem of medical terminology structuring, and the scheme that the disclosure provides makes
It is master data model with expansible two-dimensional table, the personalized flexible customization of term may be implemented.Meanwhile disclosure offer
Scheme highlights core status of the clinic diagnosis term in medical information, and structuring, term can be formed in electronic health record
The diagnostic listing of change significantly more efficient can integrate other various medical terminologys and medical information whereby.So that clinic diagnosis art
The more flexible multiplicity of link between language knowledge point, can express more complicated medical terms logic.In structure design, whole
Flexible structure is easy-to-use, and scalability is fabulous.
The preferred embodiment of the disclosure is described in detail in conjunction with attached drawing above, still, the disclosure is not limited to above-mentioned reality
The detail in mode is applied, in the range of the technology design of the disclosure, a variety of letters can be carried out to the technical solution of the disclosure
Monotropic type, these simple variants belong to the protection scope of the disclosure.
It is further to note that specific technical features described in the above specific embodiments, in not lance
In the case where shield, it can be combined in any appropriate way.In order to avoid unnecessary repetition, the disclosure to it is various can
No further explanation will be given for the combination of energy.
In addition, any combination can also be carried out between a variety of different embodiments of the disclosure, as long as it is without prejudice to originally
Disclosed thought equally should be considered as disclosure disclosure of that.
Claims (10)
1. a kind of clinic diagnosis knowledge acquisition method characterized by comprising
Receive search key；
There are the target clinic diagnosis terms of mapping relations with the search key for lookup in default clinic diagnosis terminology；
Clinic diagnosis service logic is triggered according to the target clinic diagnosis term；
When receiving the first instruction, clinic diagnosis content corresponding with first instruction is presented, first instruction is for referring to
Show the default flow nodes jumped in clinic diagnosis business；
Clinic diagnosis result is generated according to the target clinic diagnosis term and the clinic diagnosis content.
2. the method according to claim 1, wherein the method also includes:
Before receiving the search key, clinic diagnosis terms classification is stored into preset data model, is formed clinical
Diagnosis and treatment terminology；
The second instruction is received, which is used to indicate reflecting between each clinic diagnosis term in the clinic diagnosis terminology
Penetrate relationship；
The mapping relations in the clinic diagnosis term between each clinic diagnosis term are established according to second instruction.
3. according to the method described in claim 2, it is characterized in that, described store clinic diagnosis terms classification to preset data
In model, clinic diagnosis terminology is formed, comprising:
The clinic diagnosis term is divided according to conceptual term, operational term and systematicness term, will be divided
The clinic diagnosis term afterwards is stored into expansible two-dimensional table；
The conceptual term comprises at least one of the following:
Diagnose term, drug term, check examine term, treatment operation term, medical staff's master index, Main index of patients and
Hospital's master index；
The operability term comprises at least one of the following:
Doctor's advice, which is opened ,/audit/executes operation, typing operation record operates and newly-increased/deletion/inquiry/volume of diagnosis and treatment term
Volume/" locked in " operation；
The systematicness term is generated by the third instruction received according to the conceptual term and the operational term,
The third instruction is used to indicate default in conjunction with logic.
4. according to the method described in claim 2, it is characterized in that, the method also includes:
It stores by clinic diagnosis terms classification into preset data model, is formed after clinic diagnosis terminology, by that can expand
Attribute-name, proprietary data formats and attribute remarks that two-dimensional table saves term attribute are opened up, term attribute registration table, institute are formed
Stating clinic diagnosis term includes at least one term entry, and the term entry includes at least one term attribute.
5. the method according to claim 1, which is characterized in that described according to the target clinic diagnosis
Term and the diagnosis and treatment service order generate clinic diagnosis result, comprising:
According to the mapping relations and the target diagnosis and treatment term and the clinic diagnosis between the target clinic diagnosis term
Mapping relations between content generate the relation map comprising clinic diagnosis result.
6. a kind of clinic diagnosis knowledge acquisition device characterized by comprising
First receiving module, for receiving search key；
Searching module, for searching in default clinic diagnosis terminology, there are the targets of mapping relations with the search key
Clinic diagnosis term；
Trigger module, for triggering clinic diagnosis service logic according to the target clinic diagnosis term；
Module is presented, for when receiving the first instruction, is presented clinic diagnosis content corresponding with first instruction, described the
One instruction is used to indicate the default flow nodes jumped in clinic diagnosis business；
Generation module, for generating clinic diagnosis knot according to the target clinic diagnosis term and the clinic diagnosis content
Fruit.
7. device according to claim 6, which is characterized in that described device further include:
First memory module, for before receiving the search key, clinic diagnosis terms classification to be stored to present count
According in model, clinic diagnosis terminology is formed；
Second receiving module, for receiving the second instruction, which, which is used to indicate in the clinic diagnosis terminology, respectively faces
Mapping relations between bed diagnosis and treatment term；
Module is established, for establishing reflecting between each clinic diagnosis term in the clinic diagnosis term according to second instruction
Penetrate relationship.
8. device according to claim 7, which is characterized in that first memory module is used for:
The clinic diagnosis term is divided according to conceptual term, operational term and systematicness term, will be divided
The clinic diagnosis term afterwards is stored into expansible two-dimensional table；
The conceptual term comprises at least one of the following:
Diagnose term, drug term, check examine term, treatment operation term, medical staff's master index, Main index of patients and
Hospital's master index；
The operability term comprises at least one of the following:
Doctor's advice, which is opened ,/audit/executes operation, typing operation record operates and newly-increased/deletion/inquiry/volume of diagnosis and treatment term
Volume/" locked in " operation；
The systematicness term is generated by the third instruction received according to the conceptual term and the operational term,
The third instruction is used to indicate default in conjunction with logic.
9. device according to claim 7, which is characterized in that described device further include:
Second memory module, for before receiving search key, clinic diagnosis terms classification to be stored to preset data mould
It in type, is formed after clinic diagnosis terminology, attribute-name, the attribute data lattice of term attribute is saved by expansible two-dimensional table
Formula and attribute remarks form term attribute registration table, and the clinic diagnosis term includes at least one term entry, the art
Language entry includes at least one term attribute.
10. according to device described in claim 6 to 9 any one, which is characterized in that the generation module is used for:
According to the mapping relations and the target diagnosis and treatment term and the clinic diagnosis between the target clinic diagnosis term
Mapping relations between content generate the relation map comprising clinic diagnosis result.
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