Source: https://www.valuelink.cn/mob/en/detail.html?id=58
First, what is the OCR technology
Optical character recognition technique OCR is an abbreviation (Optical Character Recognition), is scanned by the optical input various bill or the like, newspapers, books, documents, and other printed text is converted to image information, a character recognition technology to reuse the image information into computer input technology can be used. OCR system, a main indicator of good or bad performance are: rejection rate, error rate, recognition speed, stability, ease of use. OCR technology by image information, the user may be obtained by way of the input optical cameras, scanners and other books, documents, tables and other printed matter can be converted to text information for the computer to recognize and process. Therefore, compared with the traditional manual entry way, OCR technology has greatly enhanced the efficiency of the people to information storage, retrieval, processing.
Second, the OCR technology applications in the medical field
- Application direction
In the medical treatment process, the patient can not avoid the encounter complicated medical symbol data of the paper documents and hard to understand. How easy will the content of these documents electronically stored and converted construed to understand, it has been plagued by problems of patients, but also the entrepreneur has to think about. OCR technology applications in the medical field, just to provide a solution.
From the perspective of the medical C-terminal domain analysis, the most common application of OCR technology is a laboratory test to identify. The application can not only help patients with long-term storage a single laboratory, but also can perform some analysis. In addition, there are aspects of the prescription identification, case archiving applications. From the B-side point of view, OCR technology is mainly used in medical data analysis, field research doctors, insurance companies, medical research, hardware development, hospital management, etc., to help them improve the efficiency of data entry and analysis.
- Demand Source
OCR technology needs of the medical field is a strong presence. First of all, from the C-terminal user perspective, the majority of patients it can not fully and correctly interpret laboratory test, but doctors do not have time to help patients interpret and analyze. By OCR technology to identify a single laboratory can help patients solve problems not read a single laboratory. Secondly, from the B-side is concerned, many medical research companies, insurance companies, pharmaceutical companies and so companies need a lot of test data, and the traditional manual input time-consuming and inefficient. OCR technology for saving a lot of manpower and time costs.
- OCR Application Process: A Case Study on medical documents
1) location area: taking pictures through mobile medical documents, identification technology will first find clear documentation of the border, locate the approximate location of the documents.
2) area classification: Information on the documents that have been identified for the first time regional classification, roughly divided region of the patient information, hospital information, and test the project area and other areas. Which is the most important test items, but also the most content rich and complex.
3) analytical data: After the area classification, beginning of the content within each region for the second recognition, the basis of the content of the extraction time and place, patient information and hospital information. Sign test data and projects for intelligent analysis and understanding, and match the contents of the medical database.
4) adjust Audit: After data analysis, the need to manually parse out the results of the audit overall optimization and adjustment through most intelligent review and a small part of which may be amended to identify the wrong place.
5) Upload SaaS: uploaded to the user data stored SaaS Cloud
6) the user receives: final results of data processing will be returned to the hands of users at any time and wait for the call.
- difficulties in the current application of mobile technology in the medical field OCR
OCR technical difficulties mainly in the medical field identification and analysis of both standards.
First, because the document format used by hospitals, layout and there is no uniform standard, so that the interface is very complex documents. Paper documents difficult to save. Documents patients taken other reasons due to the fold-definition low, increasing the difficulty to identify the OCR technology. The most complicated types of documents shuffling of character for recognition technology has very high demands.
Secondly, due to the complexity and rigor, different terms may represent the meaning is the same medicine, meaning and values with the standard term in a different test project represents is not the same. Before analyzing the data, we need to establish a complete and accurate medical databases, and to prevent identification and analysis of errors caused by the same symbols resulting in technology.