CN106503424B - A kind of learning-oriented electronic health record input method - Google Patents
A kind of learning-oriented electronic health record input method Download PDFInfo
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- CN106503424B CN106503424B CN201610875039.7A CN201610875039A CN106503424B CN 106503424 B CN106503424 B CN 106503424B CN 201610875039 A CN201610875039 A CN 201610875039A CN 106503424 B CN106503424 B CN 106503424B
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Abstract
The invention discloses a kind of learning-oriented electronic health record input methods, this method passes through the history case history and newly-generated being associated property of electronic health record analysis to magnanimity, count the number of each word occurred after each word, it is selected so that the higher word of relevance can be provided after inputting a word in typing electronic health record, improves efficiency of inputting.
Description
Technical field
The present invention relates to electronic health record typing fields, and in particular to a kind of learning-oriented electronic health record input method.
Background technique
Electronic health record is that medical staff is required to input the most electronics of text in all medical information electronic medical record systems
Medical records system, medical staff usually take a significant amount of time and write electronic health record.And currently, existing including progress note, operation record
Interior multiple portions can all be referred to without template, and medical staff usually needs voluntarily to complete according to the actual situation.However, one
In a case history text, " lesion " is usually followed by after having larger relevance, such as " eyeground " between many words.Therefore,
Next input mode for inputting word can be inferred according to word has been inputted by needing to develop one kind, to improve the work of medical staff
Make efficiency.
Summary of the invention
In order to solve the above-mentioned technical problem, the electronic health record input method learning-oriented the object of the present invention is to provide one kind,
This method is analyzed by history case history to magnanimity and newly-generated being associated property of electronic health record, after counting each word
The number of each word occurred, so that can provide relevance higher word after inputting a word in typing electronic health record
Language is selected, and efficiency of inputting is improved.
In order to achieve the above objectives, The technical solution adopted by the invention is as follows:
A kind of learning-oriented electronic health record input method, comprising the following steps:
(1) dictionary generates operation: according to existing history case history, obtaining a word based on medical terms by participle
Library, the word in the dictionary indicate with different ID respectively, and in typing electronic medical record system.As shown in table 1, the ID table
Be shown as 00001,00002,00003 ..., N.
Table 1
| ID | Word |
| 00001 | Eyeground |
| 00002 | Lesion |
| 00003 | Bleeding |
| … | |
| N | It checks |
(2) word association statistical operation: in the backstage of electronic medical record system, the different piece of case history is established respectively
One table, the table have file and row, and the file is the word of first appearance, and the row is subsequent occurrences of
Word；By importing sufficient amount of history case history into electronic medical record system, retrieval statistics analysis is carried out in corresponding part, and
The number that each word occurs after each word is recorded in the table.As shown in table 2-5, respectively first page of illness case,
The table of doctor's advice, operation record and nursing record.
2 first page of illness case of table
| ID | 00001 | 00002 | 00003 | … | N |
| 00001 | |||||
| 00002 | |||||
| 00003 | |||||
| … | |||||
| N |
3 doctor's advice of table
| ID | 00001 | 00002 | 00003 | … | N |
| 00001 | |||||
| 00002 | |||||
| 00003 | |||||
| … | |||||
| N |
4 operation record of table
| ID | 00001 | 00002 | 00003 | … | N |
| 00001 | |||||
| 00002 | |||||
| 00003 | |||||
| … | |||||
| N |
5 nursing record of table
| ID | 00001 | 00002 | 00003 | … | N |
| 00001 | |||||
| 00002 | |||||
| 00003 | |||||
| … | |||||
| N |
(3) sorting operation: when user inputs a word, electronic medical record system is in the table described in file lookup
The corresponding ID of word, obtains a row, and the row represents the number that each word occurs after the word, the electricity
Sub- medical records system will arrange after the row transposition according to access times descending, can be presented in drop down list according to the sequence
To user next may typing word, user selects to need the word that inputs, completes typing.
Further, the retrieval statistics are analyzed as follows: synthesis ID is that word representated by 00001+00001 generates character string
One, which is retrieved in whole case histories, in the table record retrieval total degreeSynthesis ID is later
Word representated by 00001+00002 generates character string two, which is retrieved in whole case histories, in the table
Middle record retrieves total degreeSo circulation, until countingUntil.
Compared with the existing technology, the present invention achieves beneficial technical effect:
(1) learning-oriented electronic health record input method is obtained between each word by analyzing the history case history of magnanimity
Relevance size, to provide the word inventory being likely to occur, more reasonability after user inputs word every time.
(2) due to learning-oriented electronic health record input method word list to be selected generated according to correlation from height to
Low sequence, doctor can select the word to be inputted from candidate list, substantially increase efficiency of inputting.
(3) electronic health record library is imported since learning-oriented electronic health record input method can be constantly updated, so more can
Enough adapt to the variation of use demand.With the increase of user's typing number, the electronic health record quantity imported is also more, user
Collocations sequence more than access times can also rise.
Detailed description of the invention
Fig. 1 is the flow chart of electronic health record input method disclosed by the invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments to the present invention
It is further elaborated, but the scope of protection of present invention is not limited to following specific embodiments.
Generate dictionary.According to existing history case history, by participle, can be obtained dictionary and its in electronic medical record system it is right
The ID answered, as shown in table 6, each word have a corresponding ID.
Table 6
| ID | Word |
| 00001 | Eyeground |
| 00002 | Lesion |
| 00003 | Bleeding |
| … | |
| N | It checks |
After importing enough history case histories into electronic medical record system, electronic medical record system is directed to the different piece of case history
It is counted by retrieval analysis.
The method of retrieval statistics analysis is that synthesis ID is that word representated by 00001+00001 generates character string one, by the word
Symbol string one is retrieved in whole case histories, in the table record retrieval total degreeSynthesis ID is 00001+00002 institute later
It represents word and generates character string two, which is retrieved in whole case histories, in the table record retrieval total degreeSo circulation, until countingUntil.Each section can be generated according to the statistical result of different piece in case history respectively
Corresponding table, as shown in table 7-8.
7 first page of illness case of table
| ID | 00001 | 00002 | 00003 | … | N |
| 00001 | 0 | 3000 | 2000 | … | 1500 |
| 00002 | 200 | 0 | 500 | … | 150 |
| 00003 | 50 | 800 | 0 | … | 300 |
| … | … | … | … | … | … |
| N | 700 | 200 | 1000 | … | 0 |
8 doctor's advice of table
| ID | 00001 | 00002 | 00003 | … | N |
| 00001 | 0 | 200 | 150 | … | 3000 |
| 00002 | 200 | 0 | 200 | … | 1000 |
| 00003 | 100 | 200 | 0 | … | 1500 |
| … | … | … | … | … | … |
| N | 1400 | 800 | 1800 | … | 0 |
Table 7 can be embodied in the case history of importing, diagnose this part, " eyeground eyeground " occurs 0 time, " retinopathy
Become " occur 3000 times, " fundus hemorrhage " occurs 2000 times, and so on.
Table 8 can be embodied in the case history of importing, and in this part of doctor's advice, " eyeground eyeground " occurs 0 time, " retinopathy
Become " occur 200 times, " fundus hemorrhage " occurs 150 times, and so on.
After user's typing " eyeground " two word in the first page of illness case area of electronic health record electronic medical record system, electronic health record system
System file can retrieve " eyeground " corresponding ID " 00001 " in " first page of illness case " corresponding table, pick out corresponding row, carry out
After transposition sequence, result as shown in table 9 can be obtained.
Table 9
| ID | Word | Number |
| 00002 | Lesion | 3000 |
| 00003 | Bleeding | 2000 |
| N | It checks | 1500 |
| … | … | … |
It then, will be sequentially to show " lesion ", " bleeding " and " inspection shown in table 9 on electronic medical record system interface
Look into " etc., user can therefrom select word typing required for oneself.
If user is two word of typing " eyeground ", electronic health record in the doctor's advice part of electronic health record electronic medical record system
System file can retrieve " eyeground " corresponding ID " 00001 " in " doctor's advice " corresponding table, pick out corresponding row, turned
After setting sequence, result as shown in table 10 can be obtained.
Table 10
| ID | Word | Number |
| 00002 | It checks | 3000 |
| 00003 | Lesion | 200 |
| N | Bleeding | 150 |
| … | … | … |
It then, will be sequentially to show " inspection ", " lesion " and " out shown in table 10 on electronic medical record system interface
Blood " etc., user can therefrom select word typing required for oneself.
According to the disclosure and teachings of the above specification, those skilled in the art in the invention can also be to above-mentioned embodiment party
Formula is changed and is modified.Therefore, the invention is not limited to the specific embodiments disclosed and described above, to the one of invention
A little modifications and changes should also be as falling into the scope of the claims of the present invention.In addition, although being used in this specification
Some specific terms, these terms are merely for convenience of description, does not limit the present invention in any way.
Claims (2)
1. a kind of learning-oriented electronic health record input method, which is characterized in that the electronic health record input method includes following step
It is rapid:
(1) dictionary generates operation: according to existing history case history, a dictionary based on medical terms is obtained by participle,
Word in the dictionary indicates with different ID respectively, and in typing electronic medical record system；
(2) in the backstage of electronic medical record system, one word association statistical operation: is established respectively to the different piece of case history
Table, the table have file and row, and the file is the word of first appearance, and the row is subsequent occurrences of word
Language；By importing sufficient amount of history case history into electronic medical record system, in corresponding part progress retrieval statistics analysis, and
The number that each word occurs after each word is recorded in the table；
(3) sorting operation: when user inputs a word, file searches the word to electronic medical record system in the table
Corresponding ID, obtains a row, and the row represents the number that each word occurs after the word, the electronics disease
Going through system will arrange after the row transposition according to access times descending, can be presented to the user in drop down list according to sequence
Next the word of possible typing, user select the word for needing to input, and complete typing；
The ID is expressed as 00001,00002,00003 ..., N；
The retrieval statistics are analyzed as follows: synthesis ID is that word representated by 00001+00001 generates character string one, by the character string
One is retrieved in whole case histories, in the table record retrieval total degree, and synthesizing ID later is 00001+00002 institute's generation
Table word generates character string two, which is retrieved in whole case histories, in the table total time of record retrieval
Number so recycles, until counting.
2. electronic health record input method according to claim 1, it is characterised in that: the different piece of the case history is distinguished
Are as follows: first page of illness case, doctor's advice, operation record and nursing record.
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| CN107145712B (en) * | 2017-04-06 | 2021-01-01 | 广州慧扬健康科技有限公司 | Medical record statistical analysis system for complications and complicating diseases |
| CN110021396A (en) * | 2017-07-12 | 2019-07-16 | 东软集团股份有限公司 | Physician order entry method and device, storage medium, electronic equipment |
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| CN103514375A (en) * | 2013-10-10 | 2014-01-15 | 中国中医科学院 | Electronic medical record rapid recording system based on standard terminology |
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| US8751495B2 (en) * | 2009-09-29 | 2014-06-10 | Siemens Medical Solutions Usa, Inc. | Automated patient/document identification and categorization for medical data |
| US10839946B2 (en) * | 2014-12-18 | 2020-11-17 | Illumicare, Inc. | Systems and methods for supplementing an electronic medical record |
| JP6488778B2 (en) * | 2015-03-10 | 2019-03-27 | 富士通株式会社 | Electronic medical record management program, electronic medical record management apparatus, and electronic medical record management method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102346814A (en) * | 2011-11-03 | 2012-02-08 | 厦门市智业软件工程有限公司 | Entering method of tabular fragment structured EMR (Electronic Medical Record) |
| CN103514375A (en) * | 2013-10-10 | 2014-01-15 | 中国中医科学院 | Electronic medical record rapid recording system based on standard terminology |
| CN104965898A (en) * | 2015-06-30 | 2015-10-07 | 魏宁 | Patient-oriented hospital online inquiry system |
Non-Patent Citations (1)
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|---|
| 基于智能病历编辑器的电子病历系统研究与设计;王雄;《中国优秀硕士学位论文全文数据库（信息科技辑）》;20140615(第06期);第I138-419页 |
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