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Development of the Information Delivery System for the Home Nursing Service

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KMID : 0922319970040010005
¹ÚÁ¤È£ ( Park Jung-Ho ) - ¼­¿ï´ëÇб³ °£È£´ëÇÐ

±è¸ÅÀÚ ( Kim M. J. ) - ÀÎÁ¦´ëÇб³ º¸°Ç°ü¸®Çаú
È«°æÀÚ ( Hong K. J. ) - ÀÎÁ¦´ëÇб³ º¸°Ç°ü¸®Çаú
ÇÑ°æÀÚ ( Han K. J. ) - ÀÎÁ¦´ëÇб³ º¸°Ç°ü¸®Çаú
¹Ú¼º¾Ö ( Park S. A. ) - ÀÎÁ¦´ëÇб³ º¸°Ç°ü¸®Çаú
À±¼ø³ç ( Yun Soon-Nyung ) - ÀÎÁ¦´ëÇб³ º¸°Ç°ü¸®Çаú
ÀÌÀμ÷ ( Lee In-Sook ) - ¼­¿ï´ëÇб³ °£È£´ëÇÐ
Á¶Çö ( Cho Hyun ) - ÀÎÁ¦´ëÇб³ º¸°Ç´ëÇÐ º¸°Ç°ü¸®Çаú
¹æ°æ¼÷ ( Bang Kyung-Sook ) - ¼­¿ï´ëÇб³ °£È£´ëÇÐ

Abstract

The purpose of the study was to development an information delivery system for the home nursing service, to demonstrate and to evaluate the efficiency of it. The period of research conduct was from September 1996 to August 31, 1997. At the 1st stage to achieve the purpose, Firstly Assessment tool for the patients with cerebral vascular disease who have the first priority of HNS among the patients with various health problems at home was developed through literature review. Secondly, after identification of patient nursing problem by the home care nurse with the assessment tool, the patient¡¯s classification system developed by Park (1988) that was 128 nursing activities under 6 categories was used to identify the home care nurse¡¯s activities of the patient with CAV at home. The research team had several workshops with 5 clinical nurse experts to refine it. At last 110 nursing activities under 11 categories for the patients with CVA were derived. At the second stage, algorithms were developed to connect 110 nursing activities with the patient nursing problems identified by assessment tool. The computerizing process of the algorithms is as follows: These algorithms are realized with the computer program by use of the software engineering technique. The development is made by the prototyping method, which is the requirement analysis of the software specifications. The basic features of the usability, compatibility, adaptability and maintainability are taken into consideration. Particular emphasis is given to the efficient construction of the database. To enhance the database efficiency and to establish the structural cohesion, the data field is categorized with the weight of relevance to the particular disease. This approach permits the easy adaptability when numerous diseases are applied in the future. In paralleled with this, the expandability and maintainability is stressed through out the program development, which leads to the modular concept. However since the disease to be applied is increased in number as the project progress and since they are interrelated and coupled each other, the expand ability as well as maintainability should be considered with a big priority. Furthermore, since the system is to be synthesized with other medical systems in the future, these properties are very important. The prototype developed in this project is to be evaluated through the stage of system testing. There are various evaluation metrics such as cohesion, coupling and adaptability so on. But unfortunately, direct measurement of these metrics are very difficult, and accordingly, analytical and quantitative evaluations are almost impossible. Therefore, instead of the analytical evaluation, the experimental evaluation is to be applied through the test run by various users. This system testing will provide the viewpoint analysis of the user¡¯s level, and the detail and additional requirement specifications arising from user¡¯s real situation will be feedback into the system modeling. Also. the degree of freedom of the input and output will be improved, and the hardware limitation will be investigated. Upon the refining, the prototype system will be used as a design template. and will be used to develop the more extensive system. In detail. the relevant modules will be developed for the various diseases, and the module will be integrated by the macroscopic design process focusing on the inter modularity, generality of the database. and compatibility with other systems. The Home care Evaluation System is comprised of three main modules of : (1) General information on a patient, (2) General health status of a patient, and (3) Cerebrovascular disease patient. The general health status module has five sub modules of physical measurement, vitality, nursing, pharmaceutical description and emotional/cognition ability. The CVA patient module is divided into ten sub modules such as subjective sense, consciousness, memory and language pattern so on. The typical sub modules are described in appendix 3.
KeyWords
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home care, CVA, computerization
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