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A medical record retrieval method and system based on negative detection

A medical record and electronic medical record technology, applied in the field of hospital information, can solve the problems of inconsistent results and inability to consider negative information, and achieve the effect of effective retrieval

Pending Publication Date: 2019-04-26
心医国际数字医疗系统(大连)有限公司
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Problems solved by technology

", the user enters "hypertension" mostly in the hope of retrieving the condition of having high blood pressure in the medical record description, and the traditional search engine will directly match the entry of "hypertension" because it cannot take into account the negative information in the original text. Return the above original text to the user, resulting in unexpected results

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  • A medical record retrieval method and system based on negative detection

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Embodiment Construction

[0024] Embodiment: In order to understand the present invention more clearly, relevant schemes in the prior art are introduced as follows:

[0025] Most of the traditional electronic medical record search systems and methods are realized by general-purpose full-text search technology, and its main function is: given several keywords, find documents containing keywords. Its main structure is roughly as follows figure 1 As shown, the more common retrieval idea is to use the word-document matrix model. Through this model, the system retains information such as which keywords are contained in the document and which documents contain a certain keyword. Therefore, when entering the key words to be retrieved Words, you can quickly find the corresponding documents.

[0026] The system first processes the existing electronic medical records in the database, mainly including operations such as word segmentation and removing stop words, and then builds an index with words as units, and ...

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Abstract

The invention discloses a medical record retrieval method and system based on negative detection, belongs to the field of hospital information, and aims to solve the problem of accurate retrieval of negative information in electronic cases, and the method comprises the steps: S1, carrying out negative information extraction on electronic medical records in a database; S2, intervening a word segmentation result, annotating negative properties of the word segmentation result in the index, and adding 'negative' annotations in front of the entries; And S3, constructing an index according to the word segmentation result, and adding the negative information of the original medical record into an index file, thereby achieving the effective retrieval of the negative information.

Description

technical field [0001] The invention belongs to the field of hospital information, and relates to a negative information retrieval method and system for electronic medical records based on negative detection. Background technique [0002] With the progress of hospital information construction, electronic medical records, as the basis of clinical medical information and the core of hospital information system, constitute the basis of decision-making system. The retrieval mechanism of the electronic medical record management system needs to meet the needs of doctors, scientific research assistance and other operations, and needs to be changed to the direction of full-text retrieval. Lucene is currently the most popular Java-based open source full-text search toolkit, and the search functions of most systems are developed based on Lucene. [0003] At present, most of the common full-text search engines for electronic medical records are implemented based on the Lucene kernel. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2452G06F16/25G16H10/60
CPCG16H10/60
Inventor 王兴维邰从越刘龙史黎鑫尹延伟王慧刘慧芳
Owner 心医国际数字医疗系统(大连)有限公司
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