Developing a Model for Using Clinical Routine Data to Analyze Nursing Sensitive Patient Outcome Indicators

被引:1
作者
Nantschev, Renate [1 ]
Hackl, Werner O. [1 ]
Ammenwerth, Elske [1 ]
机构
[1] UMIT Univ Hlth Sci, Inst Med Informat, Med Informat & Technol, Hall In Tirol, Austria
来源
MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL | 2019年 / 264卷
基金
奥地利科学基金会;
关键词
health care quality indicators; outcome assessment; patient safety;
D O I
10.3233/SHTI190686
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Under the term "big data", the secondary use of available IT-based clinical routine data promises to easily support quality management and research. Available clinical data can, for example, be used to measure care quality, as this is an important aspect in the evaluation of health interventions. Different indicators are available for measuring care quality, e.g. nursing sensitive outcome indicators. However, a specific methodology for using clinical routine data to measure quality of nursing care is not available at the moment. We present first ideas for a model to use clinical routine data to derive nursing outcome indicators measuring quality of care. In particular, we are interested in the question of which care indicators can be extracted to predict care outcome.
引用
收藏
页码:1863 / 1864
页数:2
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