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      Development of community health service-oriented computer-assisted information system for diagnosis and treatment of respiratory diseases

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          Abstract

          Objective: Community health services are an emerging trend. We have found in practice that diagnosis and treatment of respiratory diseases in the community are distinct. The respiratory department’s daily work involves a number of outpatient registration items and a vast workload. The routine manual operation is inefficient and it is not convenient to make effective statistical analysis of the outpatient data to identify the risk factors closely related to diseases. Therefore, it is imperative to process the outpatient information of patients with respiratory diseases effectively and efficiently in a unified manner by means of computer technology.

          Methods: The design and realization of the C ommunity H ealth S ervice-oriented computer-assisted Information System for D iagnosis and T reatment of R espiratory D iseases (CHS-DTRD) was completed as part of the community intervention study on bronchial asthma that was carried out jointly by the Nanjing First Hospital Affiliated to Nanjing Medical University and the Hospital of Nanjing University of Science & Technology, and based on 2 years of experience and the needs of an overall analysis.

          Results: The computer-assisted information system for diagnosis and treatment was developed using Java Server Page (JSP) technology and introducing the advanced Asynchronous JavaScript XML (AJAX) technique and MS-SQL Server was used in the background database. CHS-DTRD was composed of eight functional modules (outpatient data maintenance, outpatient appointment, intelligent analysis for disease risk factors, query and statistics, data dictionary maintenance, database manipulation, access control, and system configuration). CHS-DTRD featured a friendly interface, convenient operation, and stability and reliability.

          Conclusion: Community health-oriented diagnosis and treatment of respiratory diseases is simple, programmable, and intuitive, thus the workload of physicians is significantly reduced and the work efficiency is improved. This system facilitates an intelligent analysis of disease risk factors using data mining technology, and provides physicians with suggestions on intelligent analysis for diagnosis of disease and conclusion of disease causes.

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          Most cited references 15

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          Adding Attributes to Role-Based Access Control

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            Construction of automated community health service supervision and management system

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                Author and article information

                Journal
                FMCH
                Family Medicine and Community Health
                FMCH
                Family Medicine and Community Health & American Chinese Medical Education Association (USA )
                xxx-xxx
                2305-6983
                December 2013
                December 2014
                : 1
                : 4
                : 1-9
                Affiliations
                1Department of Respiratory Medicine, the First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu Province, 210029, China
                2Nanjing University of Science and Technology Hospital, Nanjing, Jiangsu Province, 210094, China
                3Jiangsu Shengze Hospital, Suzhou, Jiangsu Province, 215228, China
                Author notes
                CORRESPONDING AUTHOR: Xin Yao, Department of Respiratory Medicine, the First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu Province, 210029, China, E-mail: njyudj@ 123456njust.edu.cn
                Article
                fmch20140110
                10.15212/FMCH.2014.0110
                Copyright © 2013 Family Medicine and Community Health

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

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                Self URI (journal page): http://fmch-journal.org/
                Categories
                Original Research

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