Development of a System for Nursing Diagnosis and Intervention Management

BACKGROUND After analyzing the relationship between 10 medical diagnoses and the NANDA classification, a set of related links between medical diagnoses and nursing diagnoses was drafted for the medical/surgical unit. Because one nursing diagnosis is related to many nursing interventions, the relatio...

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Published in:The international journal of nursing terminologies and classifications 2003-10, Vol.14 (s4), p.38-39
Main Authors: Park, Sung Ae, Park, Jung Ho, Jung, Myun Suk, Lee, Hiye Ja, Joo, Mi Kyoung, Park, Sung Hee
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Language:English
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Intervention
Medical diagnosis
Nursing
Systems management
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container_end_page 39
container_issue s4
container_start_page 38
container_title The international journal of nursing terminologies and classifications
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creator Park, Sung Ae
Park, Jung Ho
Jung, Myun Suk
Lee, Hiye Ja
Joo, Mi Kyoung
Park, Sung Hee
description BACKGROUND After analyzing the relationship between 10 medical diagnoses and the NANDA classification, a set of related links between medical diagnoses and nursing diagnoses was drafted for the medical/surgical unit. Because one nursing diagnosis is related to many nursing interventions, the relationships established by the NIC study team between NANDA diagnoses and NIC interventions was used. MAIN CONTENT POINTS System programs are divided into five modules: user interface, management of standardized data, searching expected nursing diagnoses and interventions, management of nursing activities, and statistics retrieval. The database consists of two parts: knowledge and activity. All data maintained by the modules for management of standardized data are stored in the knowledge database. The modules for searching expected nursing diagnoses and interventions also use the knowledge database. All data produced by the modules for management of nursing activities and the modules for retrieving statistics on nursing activities are stored in the activity database. The system will be operated in connection with an order communication system currently in use in hospitals. Therefore, development tools were selected considering this connection. The menus for system operations are divided into four parts: management of master data, management of patient and nurse information, management of nursing activity, and retrieving statistics on nursing activity. The part for management of master data consists of five submenus: medical diagnosis, nursing diagnosis, nursing interventions, relationships between medical diagnosis and nursing diagnosis, and relationships between nursing diagnosis and nursing intervention. Through the user interface screen, nurses select medical diagnoses and then confirm the nursing diagnoses suggested. CONCLUSIONS The system will help nurses perform their nursing processes more efficiently. However, further studies of the system are mandatory. After verifying the usefulness of the system, further analysis of the relationship between medical diagnoses and nursing diagnoses is also necessary.
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Because one nursing diagnosis is related to many nursing interventions, the relationships established by the NIC study team between NANDA diagnoses and NIC interventions was used. MAIN CONTENT POINTS System programs are divided into five modules: user interface, management of standardized data, searching expected nursing diagnoses and interventions, management of nursing activities, and statistics retrieval. The database consists of two parts: knowledge and activity. All data maintained by the modules for management of standardized data are stored in the knowledge database. The modules for searching expected nursing diagnoses and interventions also use the knowledge database. All data produced by the modules for management of nursing activities and the modules for retrieving statistics on nursing activities are stored in the activity database. The system will be operated in connection with an order communication system currently in use in hospitals. Therefore, development tools were selected considering this connection. The menus for system operations are divided into four parts: management of master data, management of patient and nurse information, management of nursing activity, and retrieving statistics on nursing activity. The part for management of master data consists of five submenus: medical diagnosis, nursing diagnosis, nursing interventions, relationships between medical diagnosis and nursing diagnosis, and relationships between nursing diagnosis and nursing intervention. Through the user interface screen, nurses select medical diagnoses and then confirm the nursing diagnoses suggested. CONCLUSIONS The system will help nurses perform their nursing processes more efficiently. However, further studies of the system are mandatory. After verifying the usefulness of the system, further analysis of the relationship between medical diagnoses and nursing diagnoses is also necessary.</description><identifier>ISSN: 1541-5147</identifier><identifier>ISSN: 2047-3087</identifier><identifier>EISSN: 1744-618X</identifier><identifier>EISSN: 2047-3095</identifier><identifier>DOI: 10.1111/j.1744-618X.2003.32_11.x</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Science Inc</publisher><subject>Intervention ; Medical diagnosis ; Nursing ; Systems management</subject><ispartof>The international journal of nursing terminologies and classifications, 2003-10, Vol.14 (s4), p.38-39</ispartof><rights>Copyright Nursecom, Inc. 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Therefore, development tools were selected considering this connection. The menus for system operations are divided into four parts: management of master data, management of patient and nurse information, management of nursing activity, and retrieving statistics on nursing activity. The part for management of master data consists of five submenus: medical diagnosis, nursing diagnosis, nursing interventions, relationships between medical diagnosis and nursing diagnosis, and relationships between nursing diagnosis and nursing intervention. Through the user interface screen, nurses select medical diagnoses and then confirm the nursing diagnoses suggested. CONCLUSIONS The system will help nurses perform their nursing processes more efficiently. However, further studies of the system are mandatory. 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Therefore, development tools were selected considering this connection. The menus for system operations are divided into four parts: management of master data, management of patient and nurse information, management of nursing activity, and retrieving statistics on nursing activity. The part for management of master data consists of five submenus: medical diagnosis, nursing diagnosis, nursing interventions, relationships between medical diagnosis and nursing diagnosis, and relationships between nursing diagnosis and nursing intervention. Through the user interface screen, nurses select medical diagnoses and then confirm the nursing diagnoses suggested. CONCLUSIONS The system will help nurses perform their nursing processes more efficiently. However, further studies of the system are mandatory. 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1744-618X
2047-3095
language eng
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source Applied Social Sciences Index & Abstracts (ASSIA); Wiley-Blackwell Read & Publish Collection
subjects Intervention
Medical diagnosis
Nursing
Systems management
title Development of a System for Nursing Diagnosis and Intervention Management
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