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Healthc Inform Res > Volume 4(2); 1998 > Article
Journal of Korean Society of Medical Informatics 1998;4(2):49-58.
DOI: https://doi.org/10.4258/jksmi.1998.4.2.49    Published online December 31, 1998.
Development of the Information System for Nursing Process: An Implementation of Nursing Diagnosis System using Neural Network
Ji Soo Yoo, Hwang Bin Ryou, Jee Won Park, Il Sun Ko
1Yonsei University, College of Nursing, Korea.
2Kwang Woon University, Department of Computer Science, Korea.
3Ajou University, School of Medicine, Division of Nursing Science, Korea.

This project developed a neural network based on nursing diagnoses among 98 nursing diagnoses Korea Nurses Association recommended when related factors and clinical signs are entered. This nursing diagnosis system consists of five sub-systems: data-input system from which a nurse can obtain knowledge from experts; data-base system in which nurses can manage statistical data; inference support system which provides learning effect; inference system which increases inference ability of nurses using existing data and nursing diagnoses data; and result-retrieve system in which nurses can look at the outcomes of nursing process. This nursing diagnosis system provides a interface which enables maintenance and revision easier as well as to induce a diagnosis through the communication between the nurse and the patient. In addition, this system makes nurses determine the nursing diagnoses in a more accurate manner by linking the learning effect of the system whit intra-neural network algorithm. This nursing diagnosis system will assist nurses to provide foster and more accurate way to implement nursing diagnosis.

Key Words: Information system, Nursing process, Nursing diagnosis, Neural network


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