TY - GEN
T1 - Nursing critical patient severity classification system predicts outcomes in patients admitted to surgical intensive care units
T2 - 14th World Congress on Medical and Health Informatics, MEDINFO 2013
AU - Choi, Mona
AU - Lee, Ju Hee
AU - Ahn, Mi Jung
AU - Kim, Young Ah
PY - 2013
Y1 - 2013
N2 - To examine the Critical Patient Severity Classification System (CPSCS) recorded by nurses to predict ICU and hospital lengths of stay and mortality, data were drawn from patients admitted to 2 surgical intensive care units (SICUs) at a university hospital in Seoul, South Korea in 2010. This retrospective study used a large data set retrieved from the Clinical Data Repository System. Among 1432 patients, the mean grade of CPSCS was 4.9 out of 6, which indicated that the subjects had generally severe conditions. The CPSCS was a statistically significant predictor of ICU and hospital LOS and mortality when patients' demographic characteristics were adjusted. In the era of emphasis on using big data, analysis of nursing assessment data should be evaluated to show importance of nursing contribution to predict patients' clinical outcomes.
AB - To examine the Critical Patient Severity Classification System (CPSCS) recorded by nurses to predict ICU and hospital lengths of stay and mortality, data were drawn from patients admitted to 2 surgical intensive care units (SICUs) at a university hospital in Seoul, South Korea in 2010. This retrospective study used a large data set retrieved from the Clinical Data Repository System. Among 1432 patients, the mean grade of CPSCS was 4.9 out of 6, which indicated that the subjects had generally severe conditions. The CPSCS was a statistically significant predictor of ICU and hospital LOS and mortality when patients' demographic characteristics were adjusted. In the era of emphasis on using big data, analysis of nursing assessment data should be evaluated to show importance of nursing contribution to predict patients' clinical outcomes.
KW - Computerized medical records systems
KW - Hospital mortality
KW - Length of stay
KW - Nursing assessment
UR - http://www.scopus.com/inward/record.url?scp=84894294340&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894294340&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-289-9-1063
DO - 10.3233/978-1-61499-289-9-1063
M3 - Conference contribution
C2 - 23920837
AN - SCOPUS:84894294340
SN - 9781614992882
T3 - Studies in Health Technology and Informatics
SP - 1063
BT - MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
PB - IOS Press
Y2 - 20 August 2013 through 23 August 2013
ER -