CN107256222A - Electronic health record quick retrieval system based on free word retrieval - Google Patents
Electronic health record quick retrieval system based on free word retrieval Download PDFInfo
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- CN107256222A CN107256222A CN201710288212.8A CN201710288212A CN107256222A CN 107256222 A CN107256222 A CN 107256222A CN 201710288212 A CN201710288212 A CN 201710288212A CN 107256222 A CN107256222 A CN 107256222A
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- 230000036541 health Effects 0.000 title claims abstract description 35
- 238000012163 sequencing technique Methods 0.000 claims abstract description 8
- 230000011218 segmentation Effects 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 238000013500 data storage Methods 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims 1
- 230000005611 electricity Effects 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 4
- 208000012671 Gastrointestinal haemorrhages Diseases 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 206010019233 Headaches Diseases 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 208000002193 Pain Diseases 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 208000029078 coronary artery disease Diseases 0.000 description 1
- 206010012601 diabetes mellitus Diseases 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 231100000869 headache Toxicity 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24578—Query processing with adaptation to user needs using ranking
Abstract
The present invention discloses a kind of electronic health record quick retrieval system based on free word retrieval, including control property definition unit, index structure pretreatment unit and intelligent sequencing unit, the structure of the preprocess method and three-dimensional index data base of attribute definition and index structure is carried out to electronic health record, a electronic health record is passed through into index structure pretreated stream waterline, so as to build a three-dimensional index data base, allow users to simultaneously be defined retrieval vocabulary with search field, system quickly obtains retrieval result by the inquiry to three-dimensional data base.Carry out quick-searching so is reached, meets the target electronic case history that retrieval is required so as to find, ease of use is improved.
Description
Technical field
The present invention relates to field of medical technology, a kind of electronic health record quick-searching system based on free word retrieval is particularly related to
System.
Background technology
Free word retrieval and theme the word and search concept that to be a pair relative, free word retrieval refer to that user's input to be examined
Any word of rope, system is retrieved in the field that it is limited；And theme word and search refers to user according to thesaurus
Specific descriptor is searched, assembling between descriptor and subheadings is carried out, so as to targetedly search what is retrieved
Object.Both mutual length, can realize the function of complementation, and free word retrieval retrieval threshold is low, fast and easy is retrieved, to retrieval
The qualifications of word are less, but recall ratio and precision ratio are not so good as theme word and search；And theme word and search recall ratio and precision ratio are high,
But shortcoming is that retrieval threshold is higher, and degree easy to use is not so good as free word retrieval.
The search method applied to this field of electronic health record is not yet developed at present, and retrieval usually needs artificial
Consulted, it is extremely inefficient.Therefore, it is badly in need of two kinds of complementary free word quick-searchings of exploitation and descriptor searching system, so that
Realize the search function of electronic medical record system.
The content of the invention
For problem present in background technology, it is an object of the invention to provide a kind of electronics disease based on free word retrieval
Go through quick retrieval system, constitute one of the main retrieval of electronic medical record system search function so that user can be according to being examined
The target word and the aiming field of selection of rope, carry out quick-searching, meet the target electronic that retrieval is required so as to find
Case history.
The technical proposal of the invention is realized in this way：A kind of electronic health record quick-searching system based on free word retrieval
System, including control property definition unit, index structure pretreatment unit and intelligent sequencing unit, wherein,
The attribute definition unit：For defining SaveForSearch attributes to each control in electronic health record list,
Provide whether each control needs to carry out index structure pretreatment；If SaveForSearch attributes are true, retrieved
Structuring is pre-processed；If SaveForSearch attributes are false, pre-processed without index structureization；
The index structure pretreatment unit：Judge firstly the need of to each control in list, if one
Control SaveForSearch attributes are false, then into the judgement of next control；If a control SaveForSearch category
Property be it is true, then in the control data division carry out word segmentation processing, word segmentation processing using participle table progress, if according to participle
Some word of table is distinguished out, then in the corresponding dimension of the field of three-dimensional index data base, the electronic health record patient's identification number
Counted under the word and Jia one, the rest may be inferred, until all controls are all judged and finished, obtain a three-dimensional index data base；
The intelligent sequencing unit：System is connected to after user search request, and user is matched in three-dimensional index data base
The corresponding dimension of field of restriction, finds the corresponding file of the term, subsequently for the unit that 0 is counted as in file, related
Degree is designated as 0；For counting unit not for 0 in file, counting is designated as k, and count value maximum is designated as n, carries out changing for the degree of correlation
Calculate, relatedness computation formula is：
Then, the corresponding χ values of each patient's identification number under each dimension are summed, and carries out descending arrangement, from upper past
The arrangement of lower patient's identification number is the retrieval result sequence for being presented to user；If free word has multiple, by multiple free words
Degree of correlation χ values are summed, and carry out descending arrangement, and the arrangement of patient's identification number from top to down is the retrieval result row for being presented to user
Sequence.
In the above-mentioned technical solutions, in electronic health record list, the data of different field are all stored in different controls
In, the data storage of main suit is in the corresponding Richbox controls of main suit, and name is stored in the corresponding Textbox controls of name
In.
In the above-mentioned technical solutions, the three-dimensional index data base has three dimensions, and first dimension is field；Second
Individual dimension is patient's identification number；3rd dimension is word.
In the above-mentioned technical solutions, the field of first dimension includes main suit, present illness history, the history of life, family history；The
The patient's identification number of two dimensions is made up of the patient's identification number of each case history；The word of 3rd dimension obtains different words by participle statistics
The occurrence number of language some word of different field under different electronic health records.
Electronic health record quick retrieval system of the invention based on free word retrieval, index structure is carried out to electronic health record
The structure of preprocess method and three-dimensional index data base, passes through index structure pretreated stream waterline by a electronic health record, from
And building a three-dimensional index data base so that user can be defined to retrieval vocabulary with search field simultaneously, system
Retrieval result is quickly obtained by the inquiry to three-dimensional data base.Carry out quick-searching so is reached, meets inspection so as to find
The target electronic case history asked is asked for, ease of use is improved.
Brief description of the drawings
Fig. 1 is control property definition, index structure pretreatment process figure in searching system of the present invention；
Fig. 2 is intelligent sequencing flow chart in searching system of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on this
Embodiment in invention, the every other reality that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example is applied, the scope of protection of the invention is belonged to.
A kind of electronic health record quick retrieval system based on free word retrieval of the present invention, including control property definition
Unit, index structure pretreatment unit and intelligent sequencing unit, the detailed of progress is specifically performed the following is to above-mentioned each unit
Explanation.
(1) control property definition unit：
In electronic health record list, the data of different field are all stored in different controls, the number of such as main suit
According to being stored in the corresponding Richbox controls of main suit, and name is stored in the corresponding Textbox controls of name.Examined
Cable Structureization is pre-processed, and precondition is that the field of Structure of need is defined, and remains the data of retrieval value,
Discard redundancy.For this reason, it may be necessary to carry out determining for SaveForSearch attributes to each control in electronic health record list
Justice, if SaveForSearch attributes are true, pre-processing the control in index structure needs to arrange into three-dimensional index data
In storehouse；If SaveForSearch attributes are false, pre-processed without index structureization.
In this step, developer is needed for each control definition in a electronic health record list masterplate
SaveForSearch attributes, provide whether each control needs to carry out index structure pretreatment.
(2) index structure pretreatment unit：
When the newly-generated a electronic health record of Hospital Electronic Medical Record system, electronic medical record system is first to whole part electronic health record
Document, into database, is used as global storage as business.Then again by the literary list feeding retrieval knot of this part of electronic health record
Handled on structure pretreated stream waterline.
For this part of electronic health record list, it is necessary first to which each control in list is judged.If a control
SaveForSearch attributes are false, then into the judgement of next control；If a control SaveForSearch attribute is
Very, then word segmentation processing is carried out to the data division in the control, word segmentation processing is carried out using participle table, if according to participle table
Individual word is distinguished out, then in the corresponding dimension of the field of three-dimensional index data base, the word of the electronic health record patient's identification number
Counted under language and Jia one.The rest may be inferred, until all controls are all judged and finished.
The judgement meaning of SaveForSearch attributes is the letter that many redundancies are had in a electronic health record list
Breath, such as record time, Label of its expressional function etc., do not have any contribution in retrieving.SaveForSearch belongs to
Property regulation make it that search field is greatly simplified, the space of storage is also optimized, thus remain retrieval value
Highest field.
The result of index structureization pretreatment is to obtain a three-dimensional index data base.Set up with most of search engines
Index data base is compared, and this index data base has three dimensions, is adapted to electronic health record search.First dimension is field,
Including main suit, present illness history, the history of life, family history etc.；Second dimension is patient's identification number, is made up of the patient's identification number of each case history；The
Three dimensions are words, and the appearance for obtaining different terms some word of different field under different electronic health records is counted by participle
Number of times.The composition example of three-dimensional index data base is as follows：
First layer：Main suit：
| Patient's identification number | Headache | Pain | It is weak | Heating | |
| 2017031211 | |||||
| 2017031212 | |||||
| 2017031213 |
The second layer：Present illness history
| Patient's identification number | Hypertension | Diabetes | Coronary heart disease | ||
| 2017031211 | |||||
| 2017031212 | |||||
| 2017031213 |
Third layer：The history of life
| Patient's identification number | |||||
| 2017031211 | |||||
| 2017031212 | |||||
| 2017031213 |
Above-mentioned flow is as shown in Figure 1.
(3) intelligent sequencing unit：
User inputs the one or more free words to be retrieved in frame retrieval, it is selected to be retrieved it is one or more
Field, retrieval request is sent to system.It is assumed that user have input a free word, system is connected to after retrieval request, in three-dimensional rope
Draw the corresponding dimension of field that user's restriction is matched in database, find the corresponding file of the term.Subsequently, for file
In be counted as 0 unit, the degree of correlation is designated as 0；For counting unit not for 0 in file, counting is designated as k, count value maximum
N is designated as, the conversion of the degree of correlation is carried out, relatedness computation formula is：
Then, the corresponding χ values of each patient's identification number under each dimension are summed, and carries out descending arrangement, from upper past
The arrangement of lower patient's identification number is the retrieval result sequence for being presented to user.
If free word has multiple, the degree of correlation χ values of multiple free words are summed, and carry out descending arrangement, from upper past
The arrangement of lower patient's identification number is the retrieval result sequence for being presented to user.Its flow is as shown in Figure 2.
It is further detailed the following is with reference to an instantiation：
User have input free word in frame retrieval：Hemorrhage of digestive tract, selects search field to be：Present illness history, previously disease
History and family history.
According to term " hemorrhage of digestive tract ", system has transferred the data of three dimensions in three-dimensional index data base, point
It is not present illness history, medical history and family history.The corresponding file of the term is found under three dimensions, and calculates corresponding phase
Guan Du, be respectively：
Present illness history：
| Patient's identification number | Hemorrhage of digestive tract | The degree of correlation |
| 2017031211 | 1 | 1.72 |
| 2017031212 | 0 | 0 |
| 2017031213 | 1 | 1.72 |
| Maximum | 2 | 2 |
Medical history：
Family history：
| Patient's identification number | Hemorrhage of digestive tract | |
| 2017031211 | 1 | 1.60 |
| 2017031212 | 1 | 1.60 |
| 2017031213 | 0 | 0 |
| Maximum | 3 | 2 |
Three fields are summed, and sequence is obtained：
| Patient's identification number | Hemorrhage of digestive tract | The degree of correlation |
| 2017031211 | 1 | 5.19 |
| 2017031213 | 0 | 3.44 |
| 2017031212 | 1 | 3.13 |
Then retrieval result sequence is as shown above.
Electronic health record quick retrieval system of the invention based on free word retrieval, has the advantages that:
1. theme word and search proposes higher requirement to user, user needs to have necessarily MeSH (MeSH)
Understanding, grasp descriptor between compound formulation, therefore using threshold it is higher.And free word retrieval does not require user to retrieval
Object has basic understanding, and user only needs to input the object to be retrieved into frame retrieval, chooses whether to enter search field
Row is limited, and just can complete primary retrieval request, not high using threshold.
Although 2. theme word and search recall ratio and precision ratio are high, it is necessary to the object of retrieval when user is retrieved
The matching of descriptor is carried out, matches and carries out assembling for subheadings after descriptor again, retrieval difficulty is larger, using not enough just
It is prompt.And free word retrieval only needs to input retrieval object, limit search field is chosen whether, it is not necessary to carry out complicated term
Assemble, user uses concise quick.Therefore often needed in reality according to real needs, to theme word and search and free word
Retrieval carries out collocation and used.
3. the system employs logarithmic function model and the degree of correlation for retrieving case history is calculated, as long as advantage is
Term is occurred in that in the field, the degree of correlation is at least 1；And with the increase of term occurrence number, the degree of correlation also increases therewith
Plus, but not more than 2, it is to avoid certain field occurs occupying retrieval leading position repeatedly because of term.To different terms
The degree of correlation of different field is summed, and just obtains the relevancy ranking of different case histories.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God is with principle, and any modification, equivalent substitution and improvements made etc. should be included in the scope of the protection.
Claims (4)
1. a kind of electronic health record quick retrieval system based on free word retrieval, it is characterised in that：Defined including control property single
Member, index structure pretreatment unit and intelligent sequencing unit, wherein,
The attribute definition unit：For defining SaveForSearch attributes to each control in electronic health record list, regulation
Whether each control needs to carry out index structure pretreatment；If SaveForSearch attributes are true, index structure is carried out
Change pretreatment；If SaveForSearch attributes are false, pre-processed without index structureization；
The index structure pretreatment unit：Judge firstly the need of to each control in list, if a control
SaveForSearch attributes are false, then into the judgement of next control；If a control SaveForSearch attribute is
Very, then word segmentation processing is carried out to the data division in the control, word segmentation processing is carried out using participle table, if according to participle table
Individual word is distinguished out, then in the corresponding dimension of the field of three-dimensional index data base, the word of the electronic health record patient's identification number
Counted under language and Jia one, the rest may be inferred, until all controls are all judged and finished, obtain a three-dimensional index data base；
The intelligent sequencing unit：System is connected to after user search request, and user's restriction is matched in three-dimensional index data base
The corresponding dimension of field, find the corresponding file of the term, subsequently for the unit that 0 is counted as in file, degree of correlation note
For 0；For counting unit not for 0 in file, counting is designated as k, and count value maximum is designated as n, carries out the conversion of the degree of correlation, phase
Pass degree calculation formula is：
<mrow>
<mi>&chi;</mi>
<mo>=</mo>
<mn>1.31</mn>
<mo>-</mo>
<mi>ln</mi>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mfrac>
<mi>k</mi>
<mi>n</mi>
</mfrac>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Then, the corresponding χ values of each patient's identification number under each dimension are summed, and carries out descending arrangement, it is sick from top to down
The arrangement of Reference Number is the retrieval result sequence for being presented to user；If free word has multiple, by the correlation of multiple free words
The summation of χ values is spent, and carries out descending arrangement, the arrangement of patient's identification number from top to down is the retrieval result sequence for being presented to user.
2. the electronic health record quick retrieval system according to claim 1 based on free word retrieval, it is characterised in that：In electricity
In sub- case history list, the data of different field are all stored in different controls, and the data storage of main suit is corresponding in main suit
In Richbox controls, and name is stored in the corresponding Textbox controls of name.
3. the electronic health record quick retrieval system according to claim 1 based on free word retrieval, it is characterised in that：It is described
Three-dimensional index data base has three dimensions, and first dimension is field；Second dimension is patient's identification number；3rd dimension is word
Language.
4. the electronic health record quick retrieval system according to claim 3 based on free word retrieval, it is characterised in that：It is described
The field of first dimension includes main suit, present illness history, the history of life, family history；The patient's identification number of second dimension is by each case history
Patient's identification number is constituted；The word of 3rd dimension obtains different terms different field under different electronic health records by participle statistics
The occurrence number of individual word.
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| CN107818169A (en) * | 2017-11-13 | 2018-03-20 | 医渡云（北京）技术有限公司 | Electronic health record method and device, electronic health record storage method and device |
| CN109473178A (en) * | 2018-11-12 | 2019-03-15 | 北京懿医云科技有限公司 | Method, system, equipment and the storage medium of medical data integration |
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| CN107256222B (en) | 2020-12-01 |
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