Using clinical data for nursing research and management in health services.

Heslop, L; Gardner, B; Diers, D; Poh, BC

Using clinical data for nursing research and management in health services.

Heslop, L Gardner, B Diers, D Poh, BC

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Publication Type:: Journal Article
Citation:: Contemp Nurse, 2004, 17 (1-2), pp. 8 - 18
Issue Date:: 2004-07

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Field	Value	Language
dc.contributor.author	Heslop, L	en_US
dc.contributor.author	Gardner, B	en_US
dc.contributor.author	Diers, D	en_US
dc.contributor.author	Poh, BC	en_US
dc.date.issued	2004-07	en_US
dc.identifier.citation	Contemp Nurse, 2004, 17 (1-2), pp. 8 - 18	en_US
dc.identifier.issn	1037-6178	en_US
dc.identifier.uri	http://hdl.handle.net/10453/4775
dc.description.abstract	Nurses generate large quantities of data at different operational levels in a health service organization. Administrative managerial data include the number of nursing hours per patient day and cost data related to nursing services while clinical data include the documentation of direct patient care only. In this paper, we explain standard clinical data elements in the HIS (Hospital Information System). The construction of the data is traced from patients' medical records to coding procedures within ICD (International Classification of Disease) classification and DRG (Diagnostic Related Groups) of casemix. Examples are given from Australian data and definitions, but much of the same information can be found in hospital information systems throughout the world. Practical applications that demonstrate how patient data can be used for research and management purposes in nursing are given. Finally, future directions and issues related to the use of datasets for nursing research are explored.	en_US
dc.language	eng	en_US
dc.relation.ispartof	Contemp Nurse	en_US
dc.relation.isbasedon	10.5172/conu.17.1-2.8	en_US
dc.subject.classification	Nursing	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Data Collection	en_US
dc.subject.mesh	Medical Records Systems, Computerized	en_US
dc.subject.mesh	Nursing Records	en_US
dc.subject.mesh	Data Interpretation, Statistical	en_US
dc.subject.mesh	Nurse's Role	en_US
dc.subject.mesh	Nursing Administration Research	en_US
dc.subject.mesh	Forecasting	en_US
dc.subject.mesh	Documentation	en_US
dc.subject.mesh	International Classification of Diseases	en_US
dc.subject.mesh	Information Storage and Retrieval	en_US
dc.subject.mesh	Databases, Factual	en_US
dc.subject.mesh	Hospital Information Systems	en_US
dc.subject.mesh	Diagnosis-Related Groups	en_US
dc.subject.mesh	Health Services Research	en_US
dc.subject.mesh	Total Quality Management	en_US
dc.title	Using clinical data for nursing research and management in health services.	en_US
dc.type	Journal Article
utslib.citation.volume	1-2	en_US
utslib.citation.volume	17	en_US
utslib.location.activity	United States	en_US
utslib.for	1110 Nursing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	closed_access
pubs.issue	1-2	en_US
pubs.publication-status	Published	en_US
pubs.volume	17	en_US

Abstract:

Nurses generate large quantities of data at different operational levels in a health service organization. Administrative managerial data include the number of nursing hours per patient day and cost data related to nursing services while clinical data include the documentation of direct patient care only. In this paper, we explain standard clinical data elements in the HIS (Hospital Information System). The construction of the data is traced from patients' medical records to coding procedures within ICD (International Classification of Disease) classification and DRG (Diagnostic Related Groups) of casemix. Examples are given from Australian data and definitions, but much of the same information can be found in hospital information systems throughout the world. Practical applications that demonstrate how patient data can be used for research and management purposes in nursing are given. Finally, future directions and issues related to the use of datasets for nursing research are explored.

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http://hdl.handle.net/10453/4775