CN110070947A - A kind of brain tumor medical record information collection method - Google Patents
A kind of brain tumor medical record information collection method Download PDFInfo
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- CN110070947A CN110070947A CN201710810476.5A CN201710810476A CN110070947A CN 110070947 A CN110070947 A CN 110070947A CN 201710810476 A CN201710810476 A CN 201710810476A CN 110070947 A CN110070947 A CN 110070947A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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Abstract
A kind of brain tumor medical record information collection method, it successively include information collection step, data loading upload storing step, the information collection step includes first information acquisition step, the second information collection step and advance data acquisition, wherein output to the data loading uploads storing step after the first information acquisition step, the second information collection step information collected are acquired by advance data；The first information acquisition step includes two steps, is successively that the acquisition of initiation data, user input information in register system by hand；The second information collection step includes two steps, is successively to automatically initiate that data acquisition, system obtains patient information automatically in institute.Formation gathering method information provided by the invention source is more, and versatility is stronger.
Description
Technical field
The present invention relates to medical information processing technology field, especially a kind of brain tumor medical record information collection method.
Background technique
Brain tumor is a kind of more multiple disease of current China citizen, since lesion position is special, brain tumor
It checks and treatment difficulty is larger, consequently, to facilitate doctor, patient are collected research to brain tumor information, country's tissue is built
Brain tumor information platform, for compiling brain tumor relevant information.
Existing information collection method is usually by manually typing, and the problem of this input method is to be manually entered work
Make cumbersome, increase many workloads for the routine work of doctor, doctor is it has proven convenient at times, would not typing medical record in detail
Information is unfavorable for later period information collection research.Very likely there is mistake simultaneously as being manually entered, can also give the letter in later period
The accuracy of breath research causes greatly to endanger.
For this purpose, there is a kind of side of option progress Select input set according to system in existing information collection method again
Formula, this method reduce the workload of doctor to a certain extent, can also reduce the probability of mistake appearance, but this method
Data input limitation is very big, medical record information complexity this kind of for brain tumor and miscellaneous state of an illness, simple Select input
Mode is higher for the setting requirements of typing early period option, and the maintenance in later period can also occupy the more time, be unfavorable for big model
Enclose popularization.
Meanwhile above-mentioned input method is directly entered by hospital doctor, acquisition of information channel is single, and patient sends out at home
The diagnosis that the raw state of an illness and patient carries out in community hospital's treatment process can not directly enter system, so that the disease of the patient
Case is simultaneously imperfect, is unfavorable for later period information collection research.
Summary of the invention
It is poor technical problem to be solved by the present invention lies in medical record information collection method versatility in the prior art and
The single problem of acquisition of information channel, and provide the brain tumor medical record letter that a kind of versatility is preferable and acquisition of information channel is more
Cease collection method.
In order to solve the above technical problems, The technical solution adopted by the invention is as follows:
A kind of brain tumor medical record information collection method successively uploads storing step including information collection step, data loading,
The information collection step includes that first information acquisition step, the second information collection step and advance data acquire, wherein institute
State first information acquisition step, the second information collection step information collected passes through output after advance data acquisition to institute
It states data loading and uploads storing step；The first information acquisition step includes two steps, is successively to initiate data acquisition by hand, use
Family inputs information in register system；The second information collection step includes two steps, is successively to automatically initiate data acquisition, institute
Interior system obtains patient information automatically.
In above- mentioned information collection method, the second information collection step by patient assessment Implementing Hospital, described first
Information collection step is implemented by the community hospital of patient or patient assessment.
It further include patient information typing step, the output of the patient information typing step in above- mentioned information collection method
Data enter the data loading and upload storing step.
In above- mentioned information collection method, the patient information typing step successively includes that hierarchical system typing, user login
Three steps such as system, Select input information model typing patient data.
In above- mentioned information collection method, before Select input information model typing patient data's step, further include
Template typing step.
In above- mentioned information collection method, the template typing step is implemented by leading medical institutions.
It further include data processing step in above- mentioned information collection method.
In above- mentioned information collection method, the data processing step successively include data normalization processing, data audit with
Improve two steps.
It further include data publication applying step after the data processing step in above- mentioned information collection method.
In above- mentioned information collection method, the data publication applying step successively includes data publication, data application two
Step.
The above technical solution of the present invention has the following advantages over the prior art:
1. formation gathering method of the invention, information collection step includes first information acquisition step, the second information collection
Step and advance data acquisition, before wherein first information acquisition step, the second information collection step information collected pass through
Output to data loading uploads storing step after setting data acquisition；First information acquisition step includes two steps, is successively manual hair
Play data acquisition, user inputs information in register system；Second information collection step includes two steps, is successively to automatically initiate number
Patient information is obtained automatically according to system in acquisition, institute.Such setting, information source include first information acquisition step and
On the one hand two information collection steps acquire data by manual mode, on the other hand acquire data by automated manner, and data are come
Source is more, and versatility is stronger.
2. formation gathering method of the invention, Implementing Hospital of the second information collection step by patient assessment, the first information
Acquisition step is implemented by the community hospital of patient or patient assessment.Such setting, the further expansion source mode of data,
Not only going to a doctor data in the correlation of the hospital of patient assessment can be into database, the state of an illness and patient that patient occurs at home
The diagnosis carried out in community hospital's treatment process can also directly enter system, ensure the integrality of patient's medical record, so that
Later period information collection research is more scientific comprehensively.
3. formation gathering method of the invention further includes patient information typing step, the output of patient information typing step
Data enter data loading and upload storing step, and patient information typing step successively includes that hierarchical system typing, user login and be
Three steps such as system, Select input information model typing patient data.Such design so that each side's typing related data it
Before, the case where patient, can comprehensively be combed by patient information typing step, to guarantee the standard of baseline file
True property can be compared when there is deviation during subsequent each side's data input with baseline file, to a certain extent into
Row error correction.
4. formation gathering method of the invention further includes before Select input information model typing patient data's step
Template typing step, template typing step are implemented by leading medical institutions.Such design, so that information model uniform format,
Accuracy is higher, has ensured the normalization of later period logging data.
5. formation gathering method of the invention, further includes data processing step, data processing step successively includes data mark
Quasi-ization processing, data are audited and improve two steps.Such design is by artificial or unartificial mode to logging data
It is audited and is handled, further increase the normalization of final data, to simplify the complexity of later data analysis application.
Detailed description of the invention
In order to make the content of the present invention more clearly understood, it below according to specific embodiments of the present invention and combines
Attached drawing, the present invention is described in further detail, wherein
Fig. 1 is the workflow schematic diagram of the preferred embodiment of the present invention.
Specific embodiment
As shown in Figure 1, being the preferred embodiment of brain tumor medical record information collection method of the present invention, in the present embodiment
In, the formation gathering method include template typing step, patient information typing step, information collection step, on data loading
Pass storing step, data processing step, data publication applying step.
Wherein the information collection step, the data loading upload storing step, the data processing step and institute
Data publication applying step is stated successively to implement.
The information collection step includes that first information acquisition step, the second information collection step and advance data are adopted
Collection, wherein the first information acquisition step, the second information collection step information collected are acquired by advance data
After export to the data loading upload storing step；The first information acquisition step includes two steps, is successively manual initiation
Data acquisition, user input information in register system；The second information collection step includes two steps, is successively automatically initiated
System obtains patient information automatically in data acquisition, institute.In the present embodiment, the second information collection step is by patient assessment
Implementing Hospital, the first information acquisition step by the community hospital of patient or patient assessment implement.
In the present embodiment, data processing step successively includes data normalization processing, data audit and improves two steps
Suddenly.In the present embodiment, the data publication applying step successively includes two data publication, data application steps.
Further, the data normalization processing is a kind of Data Integration classification method, and classification level is three-level, level-one
It is classified as highest level of classification standard, three-level is classified as lowermost level classification standard.In the present embodiment, the method includes the steps 0,
Step 00, step 1, step 2 and step 3.
Wherein, the step 0 includes: to formulate title, keyword and the standard code of the three-level classification, formulates described two
The title and keyword of grade classification, formulate the title of the first-level class.Preferably, the step 0 further includes formulating described two
The step of standard code of grade classification or default three-level classification, each secondary classification must possess standard code or silent
Recognize three-level classification.
The step 00 are as follows: initial data is collected, and forms the text information read and identified for computer.
In the present embodiment, the step 00 is after the step 0.
The step 1 are as follows: match collected data with low-level classification standard, such as successful match, then directly
It connects the data classification into the matched low-level classification standard；It such as matches unsuccessful, then enters step 2.In this reality
It applies in example, the step 1 includes step 11 and step 12.
The wherein step 11 are as follows: match the data with the three-level classification standard, such as successful match, then directly
It connects the data classification into the matched three-level classification standard；Such as match it is unsuccessful, then enter the step 12.Into one
Step ground, the matching way in the step 11 are as follows: first to the title of the text information of the data and three-level classification into
Row matching, as that can not match, the text information of the data is matched with the standard code that the three-level is classified, such as still
It can not match, the text information of the data is matched with the keyword that the three-level is classified, such as matching is still unsuccessful,
Then enter step 12.
The wherein step 12 are as follows: match the data with the secondary classification standard, such as successful match, then directly
It connects the data classification into the matched secondary classification standard；It such as matches unsuccessful, then enters step 2.Further,
Matching way in the step 12 are as follows: first to the title progress of the text information of the data and the secondary classification
Match, as that can not match, the text information of the data matched with the keyword of the secondary classification, such as still can not
With then entering step 2.Still further, then entering step 3 after step 12 successful match: if the matched second level
Classification possesses standard code, then by the data classification into the secondary classification standard；If the matched secondary classification
Possess the default three-level classification, then by the data classification into default three-level classification.
In the present embodiment, the keyword includes a class keywords and two class keywords, as included institute in the data
A class keywords are stated, and do not include two class keywords in the data, then the data and Keywords matching success.
Further, in the present embodiment, the step 0 further includes the steps that formulating default search condition, each described
Preset search condition described in corresponding one group of three classes classification, the step 2 is after it fails to match, is determining that the data classification fails it
Before, further include step 4: the data are matched with the default search condition, if successful match, the data classification
To in the three-level classification corresponding to the matched default search condition.Further, the default search condition packet
It includes a kind of default search condition and two classes presets search condition, as included a kind of default search condition in the data, and
Do not include two class in the data and preset search condition, then the data and the default search condition successful match.
In the present embodiment, the output data of the patient information typing step enters data loading upload and deposits
Store up step.Further, the patient information typing step successively includes hierarchical system typing, user's accessing system, selection record
Enter three steps such as information model typing patient data.Further, in the Select input information model typing patient data
It further include template typing step before step.Further, the template typing step is implemented by leading medical institutions.
In other embodiments, the first information acquisition step, the second information collection step information source also
It can be exchanged with the case where embodiment one, or data collection is carried out by other information source, information source mode is not
Influence the realization of purpose of design of the present invention.
It in other embodiments, can not also include the data publication applying step, the information is received through the invention
How data collected by set method utilize the realization for having no effect on purpose of design of the present invention.
In other embodiments, the data processing step can not also include the data normalization processing and/or institute
State data audit with it is perfect, or even do not include the data processing step, do not influence the realization of purpose of design of the present invention.
In other embodiments, the data normalization processing can also be realized by other means.
It in other embodiments, can not also include the patient information typing step and the template typing step,
It can only not include the template typing step.
Obviously, the above embodiments are merely examples for clarifying the description, and does not limit the embodiments.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of variation or
It changes.There is no necessity and possibility to exhaust all the enbodiments.And thus amplify out it is obvious variation or
It changes still within the protection scope of the invention.
Claims (10)
1. a kind of brain tumor medical record information collection method successively uploads storing step including information collection step, data loading,
Be characterized in that: the information collection step includes that first information acquisition step, the second information collection step and advance data are adopted
Collection, wherein the first information acquisition step, the second information collection step information collected are acquired by advance data
After export to the data loading upload storing step；The first information acquisition step includes two steps, is successively manual initiation
Data acquisition, user input information in register system；The second information collection step includes two steps, is successively automatically initiated
System obtains patient information automatically in data acquisition, institute.
2. formation gathering method according to claim 1, it is characterised in that: the second information collection step by patient just
The Implementing Hospital examined, the first information acquisition step are implemented by the community hospital of patient or patient assessment.
3. formation gathering method according to claim 1, it is characterised in that: it further include patient information typing step, it is described
The output data of patient information typing step enters the data loading and uploads storing step.
4. formation gathering method according to claim 3, it is characterised in that: the patient information typing step successively includes
Three steps such as hierarchical system typing, user's accessing system, Select input information model typing patient data.
5. formation gathering method according to claim 4, it is characterised in that: suffer from the Select input information model typing
It further include template typing step before person's data step.
6. formation gathering method according to claim 5, it is characterised in that: the template typing step is by leading therapeutic machine
Structure is implemented.
7. formation gathering method according to claim 1, it is characterised in that: further include data processing step.
8. formation gathering method according to claim 7, it is characterised in that: the data processing step successively includes data
Standardization, data are audited and improve two steps.
9. formation gathering method according to claim 8, it is characterised in that: after the data processing step, further include
Data publication applying step.
10. formation gathering method according to claim 9, it is characterised in that: the data publication applying step successively wraps
Include two data publication, data application steps.
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| CN201710810476.5A CN110070947A (en) | 2017-09-11 | 2017-09-11 | A kind of brain tumor medical record information collection method |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101504694A (en) * | 2008-02-04 | 2009-08-12 | 朱建国 | Medical clinical patient information material statistics and analysis system and method |
| CN102207990A (en) * | 2010-03-31 | 2011-10-05 | 国际商业机器公司 | Method and device for providing adverse effect information of drugs |
| CN104268438A (en) * | 2014-10-21 | 2015-01-07 | 王跃 | Spinal disease medical record online collection database and data collection method |
| CN105787233A (en) * | 2014-12-20 | 2016-07-20 | 哈尔滨智晟天诚科技开发有限公司 | Case management and information acquisition system |
| CN105243284A (en) * | 2015-11-06 | 2016-01-13 | 吴志宏 | Pancreatic cancer information collection system and using method thereof |
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Application publication date: 20190730 |