TY - GEN
T1 - Development and validation of data specifications for nursing problems in maternal nursing care
AU - Kim, Younglan
AU - Park, Hyeoun Ae
AU - Min, Yul Ha
AU - Lee, Myung Kyung
PY - 2010
Y1 - 2010
N2 - The aims of this study were to develop data specifications for nursing problems related to maternal nursing care and to test the applicability of those data specifications. First, we identified focus concepts and characterizing concepts of nursing problems by analyzing nursing-problem statements from nursing records, reviewing the literature, and interviewing experts. Second, we identified relationships between the focus concepts and characterizing concepts. Third, value sets of characterizing concepts were identified and types and cardinalities of the characterizing concepts were defined based on those value sets. Finally, data specifications were evaluated by a group of experts and by applying them to published case reports. The adequacy of the characterizing concepts and value sets, and the types and cardinalities of the characterizing concepts were validated. In total, 58 data specifications were developed with 53 characterizing concepts, relationships, and value sets. Their validity was established by the experts and by their application to case reports. The data specifications developed in this study can ensure that electronic health records contain meaningful and valid information, and support the semantic interoperability of nursing information.
AB - The aims of this study were to develop data specifications for nursing problems related to maternal nursing care and to test the applicability of those data specifications. First, we identified focus concepts and characterizing concepts of nursing problems by analyzing nursing-problem statements from nursing records, reviewing the literature, and interviewing experts. Second, we identified relationships between the focus concepts and characterizing concepts. Third, value sets of characterizing concepts were identified and types and cardinalities of the characterizing concepts were defined based on those value sets. Finally, data specifications were evaluated by a group of experts and by applying them to published case reports. The adequacy of the characterizing concepts and value sets, and the types and cardinalities of the characterizing concepts were validated. In total, 58 data specifications were developed with 53 characterizing concepts, relationships, and value sets. Their validity was established by the experts and by their application to case reports. The data specifications developed in this study can ensure that electronic health records contain meaningful and valid information, and support the semantic interoperability of nursing information.
KW - Knowledge representation
KW - Medical information standards
KW - Nursing diagnosis
UR - http://www.scopus.com/inward/record.url?scp=78649506586&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-588-4-1160
DO - 10.3233/978-1-60750-588-4-1160
M3 - Conference contribution
AN - SCOPUS:78649506586
SN - 9781607505877
T3 - Studies in Health Technology and Informatics
SP - 1160
EP - 1163
BT - Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PB - IOS Press
T2 - 13th World Congress on Medical and Health Informatics, Medinfo 2010
Y2 - 12 September 2010 through 15 September 2010
ER -