Development of a Medical Information System with Data Storage and Intelligent Image Analysis

D. Yakimov, N. V. Vygovskaya, I. V. Drozdov
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Abstract

The relevance of the development of medical information systems for otolaryngology with artificial intelligence is substantiated, the process of developing an effective storage of medical data, taking into account their heterogeneity, is described. The task of storing medical data is complicated by the legal significance, large volume, heterogeneous and complex structure of information. A test version of an automated workstation for medical information systems for storing and processing medical research results has been developed. In the process of creating a new medical information system, the tasks of the first stage were solved: the structure and organization of the medical data warehouse were developed; procedures have been implemented for downloading, storing and viewing the results of medical research in DICOM format, identifying each patient to provide all related research results; criteria for dividing images into categories (TRG, RCT) were developed and implemented. The new system provides support for various types of search and access to the server from any computer in the corporate network of the otolaryngology department. Conditions have been prepared for the implementation of the second stage – integration of an automated workstation of medical information systems into the existing technological process in a medical institution and detection of pathology using an artificial neural network.
开发具有数据存储和智能图像分析功能的医疗信息系统
本文论证了利用人工智能开发耳鼻喉科医疗信息系统的现实意义,介绍了在考虑到医疗数据异质性的情况下开发有效医疗数据存储系统的过程。由于信息具有法律意义、数量庞大、异构且结构复杂,因此存储医疗数据的任务十分复杂。已开发出用于存储和处理医学研究成果的医学信息系统自动工作站的测试版本。在创建新的医学信息系统的过程中,第一阶段的任务已经解决:开发了医学数据仓库的结构和组织;实施了下载、存储和查看 DICOM 格式医学研究成果的程序,识别每个病人以提供所有相关的研究成果;开发并实施了将图像分为不同类别(TRG、RCT)的标准。新系统支持各种类型的搜索,可从耳鼻喉科公司网络中的任何计算机访问服务器。第二阶段的实施条件已经准备就绪--将医疗信息系统自动工作站整合到医疗机构现有的技术流程中,并使用人工神经网络进行病理检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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