0
Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.

ȯÀÚ ºÐ·ùµµ±¸ Àü»ê °³¹ß: °£È£È°µ¿ Áß½ÉÀ¸·Î

Development of patient classification tool using the computerizing system

°£È£ÇàÁ¤ÇÐȸÁö 2001³â 7±Ç 1È£ p.15 ~ 23
KMID : 0614820010070010015
°­¸íÀÚ ( Kang Myoung-Ja ) - ºÎ»ê´ëÇб³º´¿ø °£È£ºÎ

±èÁ¤È­ ( Kim Jeung-Hwa ) - ºÎ»ê´ëÇб³º´¿ø °£È£ºÎ
±è¿µ½Ç ( Kim Young-sil ) - ºÎ»ê´ëÇб³ ´ëÇпø Åë°èÇаú
¹ÚÇü¼÷ ( Park Hyoung-Sook ) - ºÎ»ê´ëÇб³ ÀÇ°ú´ëÇÐ °£È£Çаú
ÀÌÇØÁ¤ ( Lee Hae-Jung ) - ºÎ»ê´ëÇб³ ÀÇ°ú´ëÇÐ °£È£Çаú

Abstract

This study was a methodological research to develop computerized patient classification system. The Subjects of this investigation were 435 inpatients except redundant data and outliers in P university Hospital from January 18, 2000 to January 24, 2000.
The data was analyzed by discrimination analysis and adopted discriminant variables were 1) sum of frequency for the nursing activities, 2) the number of nursing activities that do no need to consider intensity of the activities, and 3) total hours of nursing activities that need to consider their intensities. Discriminant function developed by this study classified the patients in to 4 groups; class ¥°, 251; class ¥±, 125; class ¥², 39; class ¥³, 20. The Hit ratio was 89.23
Based on this study, following suggestions can be made for the future research
1. Inclusive patient classification systems, which includes more expanded direct nursing care factors, need to be developed and examined.
2. This developed classification system can be utilized to evaluate patient distribution and to estimate adequate numbers of nursing staffs in each nursing unit.
KeyWords
ȯÀںзùü°è, Àü»ê½Ã½ºÅÛ,
patient classification system, computerizing system
¿ø¹® ¹× ¸µÅ©¾Æ¿ô Á¤º¸
  
µîÀçÀú³Î Á¤º¸
ÇмúÁøÈïÀç´Ü(KCI) KoreaMed