CN114267037A - Filing and classifying medical record inspection report by utilizing OCR picture recognition technology - Google Patents

Filing and classifying medical record inspection report by utilizing OCR picture recognition technology Download PDF

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CN114267037A
CN114267037A CN202111614308.1A CN202111614308A CN114267037A CN 114267037 A CN114267037 A CN 114267037A CN 202111614308 A CN202111614308 A CN 202111614308A CN 114267037 A CN114267037 A CN 114267037A
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data
picture
information
medical record
picture information
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CN202111614308.1A
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CN114267037B (en
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王俊
陈振华
其他发明人请求不公开姓名
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Jiangsu Aijia Medical Technology Co ltd
Lancet Technology Co Ltd
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Lancet Technology Co Ltd
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Abstract

The invention relates to the technical field of medical data management, and discloses an archiving and classifying medical record inspection report by utilizing an OCR picture recognition technology. The method comprises the following steps: s1, acquiring picture information, wherein the content of the picture information is medical record inspection information; s2, picture information data extraction: extracting information data in the picture by using an OCR picture recognition technology; s3, data processing: the data extracted in the S2 is analyzed and processed, the medical record inspection report is filed and classified by utilizing the OCR picture recognition technology, medical information of a patient can be directly and quickly extracted and converted without being connected with a hospital system interface by utilizing the OCR picture recognition technology, meanwhile, the intelligent analysis and error correction processing can be carried out on the medical information data by combining the analysis process and the data information of the original medical big data, and meanwhile, the medical information data is cleaned and classified, so that the operation is convenient, and the backup of the medical information data is convenient.

Description

Filing and classifying medical record inspection report by utilizing OCR picture recognition technology
Technical Field
The invention relates to the technical field of medical data management, in particular to an archiving and classifying medical record inspection report by utilizing an OCR picture recognition technology.
Background
When a hospital treats a patient, medical information of the patient needs to be managed, which is beneficial to treating the patient, and a medical information management system used in the current hospital is old, data and interfaces cannot be normally maintained, and if data backup or migration is needed, a great deal of effort and cost are needed. And some hospital medical data are stored and fall to the inside of a system developer, so that the hospital cannot normally back up structural data such as medical records, inspection, examination, electrocardio and the like.
Meanwhile, the township hospital still has a large amount of handwritten medical records and printed inspection reports, when medical information is managed, the handwritten medical records and the printed inspection reports are converted into data and stored, a large amount of manual effort is needed for processing and classifying, the workload of medical information processing of patients is large, and the processing efficiency is not high.
Disclosure of Invention
In order to realize the purpose of filing and classifying medical record inspection reports by utilizing an OCR picture recognition technology, the invention is realized by the following technical scheme: an OCR picture recognition technology is used for archiving and classifying medical record inspection reports, and the method comprises the following steps:
s1, acquiring picture information, wherein the content of the picture information is medical record inspection information;
s2, picture information data extraction: extracting information data in the picture by using an OCR picture recognition technology;
s3, data processing: analyzing and processing the data extracted in the step S2, specifically including:
s301, intelligent analysis and error correction: analyzing the picture information data extracted in the step S2 in combination with the original analysis process and data, and performing error correction processing on error information in the picture information data;
s302, data cleaning: removing header data in the picture information data and extracting structure data in the picture information data by combining the original analysis process and the original data;
s303, data classification: classifying the cleaned picture information data according to the type of the medical report by combining the original analysis process and data;
s4, filing: and storing and filing the classified picture information data, and storing the analysis process and the data of the picture information data into the original analysis process and data.
Further, the mode of acquiring the picture information in S1 includes intercepting an information interface in the medical system inside the hospital and manually uploading the picture information.
Further, the manual uploading of the picture information comprises a handwritten medical record inspection report and a printed medical record inspection report.
Further, after the picture information is obtained in S1, the obtained picture is primarily analyzed by matching and requesting the scheme of the original analysis process and data, and the picture information is pre-classified and analyzed.
Further, the information data extracted in S2 includes a picture information tag and title data.
Further, the original analysis process and data refer to the analysis process and analysis data of the medical record report, the inspection report and the inspection report which have been filed and classified.
Further, the contents of the intelligent error correction in S301 include field errors, messy codes, abnormal words, and learning words and region whites.
Further, the medical report types in S303 include a pathology information report, an examination report, and an examination report.
Compared with the prior art, the invention has the following beneficial effects:
1. this utilize OCR picture recognition technology to file and classify case history inspection report, through utilizing OCR picture recognition technology, can need not to dock hospital system interface, direct quick extraction and conversion patient's medical information, combine the analytic process and the data information of original medical big data simultaneously, can carry out intelligent analysis and error correction to medical information data and handle, simultaneously through wasing and categorizing medical information data, can realize the quick storage and filing to medical information data, medical information handles and categorised work load is little, and convenient for operation is convenient for backup medical information data simultaneously.
2. This utilize OCR picture recognition technology to file and classify case history inspection report, through the analytic process and the data information that combine original medical big data, when acquireing medical information picture, can carry out preliminary analysis and with classification to the picture, be favorable to improving the accuracy that data drawed in the picture information, when acquireing medical picture information, need not to dock hospital system interface, reducible hospital data maintenance cost.
Drawings
FIG. 1 is a flow chart illustrating archiving and categorization of medical record examination reports according to the present invention;
FIG. 2 is a schematic diagram of the filing and classifying method for medical record examination reports according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of filing and classifying the medical record inspection report by using the OCR picture recognition technology is as follows:
referring to fig. 1-2, an OCR picture recognition technique is used to archive and classify medical record inspection reports, which includes the following steps:
s1, picture information is obtained, the content of the picture information is a medical record inspection and examination report, the picture information is obtained in a mode that an information interface in a medical system in a hospital is intercepted and picture information is manually uploaded, the picture information can be intercepted through a front-end interface in the medical system in the hospital, and the manually uploaded picture information comprises a handwritten medical record inspection and examination report and a printed medical record inspection and examination report;
after the picture information is obtained, the obtained picture is preliminarily analyzed through a scheme of matching and requesting the original analysis process and data, and the picture information is subjected to pre-classification analysis, wherein the original analysis process and data refer to the analysis process and analysis data of the medical record report, the inspection report and the inspection report which are subjected to filing and classification.
S2, picture information data extraction: extracting information data in the picture by using an OCR picture recognition technology, wherein the extracted information data comprises a picture information label and title data;
s3, data processing: analyzing and processing the data extracted in the step S2, specifically including:
s301, intelligent analysis and error correction: combining the original analysis process and data, wherein the original analysis process and data refer to analysis processes and analysis data of a case history report, an inspection report and an inspection report which are filed and classified, analyzing the picture information data extracted in the step S2, and performing error correction processing on error information in the picture information data, wherein the content of intelligent error correction comprises field errors, messy codes, abnormal words, learned words and region margins;
s302, data cleaning: removing header data in the picture information data and extracting structure data in the picture information data by combining the original analysis process and the original data;
s303, data classification: classifying the washed picture information data according to medical report types by combining the original analysis process and data, wherein the medical report types comprise a pathological information report, an inspection report and an inspection report;
s4, filing: and storing and filing the classified picture information data, storing the analysis process and the data of the picture information data into the original analysis process and data, and storing the analysis process and the data of the picture information data as the original analysis process and data.
The working principle is as follows: firstly, pictures are obtained by intercepting an information interface in a medical system in a hospital or manually uploading a handwritten medical record inspection report or a printed medical record inspection report, then, the picture information is subjected to preliminary analysis and picture pre-classification by combining the analysis processes and analysis data of the filed and classified medical record report, inspection report and inspection report, and the picture information is analyzed to which kind of data report the picture belongs, and which affiliated areas in the picture are expected to need to be repeatedly extracted and identified, so that the extraction accuracy is improved, and meanwhile, the analysis scheme of the picture information is obtained.
Extracting information data in the picture by using an OCR picture recognition technology, simultaneously carrying out secondary analysis on the information data in the picture by combining analysis processes and analysis data of a case history report, an inspection report and an inspection report which are filed and classified, and carrying out intelligent error correction processing on errors in the information data in the picture when errors such as field errors, messy codes, abnormal words and words, regional whites and the like occur in the information data.
After the intelligent error correction of the information data in the picture is completed, the information data is cleaned, including header data removal and structural data extraction, and then the information data in the picture is classified according to different medical reports, so that whether the picture information data belongs to a medical record report, an inspection report or other information is determined.
After the information data in the picture is classified, the picture information data is stored and filed, and the analysis process and the data of the picture information data are stored as the original analysis process and data.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. An archive and sort medical record inspection report by using OCR picture recognition technology, which is characterized in that: the method comprises the following steps:
s1, acquiring picture information, wherein the content of the picture information is medical record inspection information;
s2, picture information data extraction: extracting information data in the picture by using an OCR picture recognition technology;
s3, data processing: analyzing and processing the data extracted in the step S2, specifically including:
s301, intelligent analysis and error correction: analyzing the picture information data extracted in the step S2 in combination with the original analysis process and data, and performing error correction processing on error information in the picture information data;
s302, data cleaning: removing header data in the picture information data and extracting structure data in the picture information data by combining the original analysis process and the original data;
s303, data classification: classifying the cleaned picture information data according to the type of the medical report by combining the original analysis process and data;
s4, filing: and storing and filing the classified picture information data, and storing the analysis process and the data of the picture information data into the original analysis process and data.
2. The use of OCR image recognition technology for archiving and categorizing medical record examination reports as claimed in claim 1, wherein: the mode of acquiring the picture information in the S1 comprises an information interface in a medical system in the hospital and manual picture information uploading.
3. The method of claim 2, wherein the step of archiving the categorized medical record examination report using OCR picture recognition technique comprises: the manual uploading picture information comprises a handwritten medical record inspection report and a printed medical record inspection report.
4. The use of OCR image recognition technology for archiving and categorizing medical record examination reports as claimed in claim 1, wherein: after the picture information is obtained in S1, the obtained picture is preliminarily analyzed by matching and requesting the scheme of the original analysis process and data, and the picture information is pre-classified and analyzed.
5. The use of OCR image recognition technology for archiving and categorizing medical record examination reports as claimed in claim 1, wherein: the information data extracted in S2 includes a picture information tag and title data.
6. The use of OCR image recognition technology for archiving categorized medical record examination reports as set forth in claim 4 wherein: the original analysis process and data refer to the analysis process and analysis data of the case history report, the inspection report and the inspection report which are subjected to filing and classification.
7. The use of OCR image recognition technology for archiving and categorizing medical record examination reports as claimed in claim 1, wherein: the contents of intelligent error correction in the S301 comprise field errors, messy codes, abnormal words, learned words and region whites.
8. The use of OCR image recognition technology for archiving and categorizing medical record examination reports as claimed in claim 1, wherein: the medical report types in S303 include a pathology information report, an examination report, and an examination report.
CN202111614308.1A 2021-12-27 2021-12-27 Archiving and classifying medical record inspection report by utilizing OCR (optical character recognition) picture recognition technology Active CN114267037B (en)

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CN111489800A (en) * 2020-04-10 2020-08-04 武汉万屏电子科技有限公司 Analysis method and system for identifying and storing medical record and report list images
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US20180182471A1 (en) * 2014-01-24 2018-06-28 Children's Hospital Medical Center System for transforming patient medical record data into a visual and graphical indication of patient safety risk
CN106202948A (en) * 2016-07-18 2016-12-07 上海市第人民医院 A kind of can the method and system of digitized ultrasoundcardiogram report automatically management
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