Availability of nursing data in an electronic medical record system for assessing the risk of pressure ulcers.
This study explored the reuse of data captured by nurses to support nursing decisions related to pressure-ulcer care. We found that more the 90% of the necessary concepts were matched semantically with data items at the input level of the electronic medical record system in a teaching hospital in Gyeonggi-Do, Korea.
Cho
InSook
I
Department of Nursing, Inha University, Incheon, Korea.
Park
SangIm
S
Jung
EunJa
E
D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D015994:Incidence; D016247:Information Storage and Retrieval / Q000379:methods; D007723:Korea / Q000453:epidemiology; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*; D009323:Natural Language Processing; D048108:Nursing Informatics / Q000706:statistics & numerical data*; D009737:Nursing Records / Q000706:statistics & numerical data*; D010363:Pattern Recognition, Automated / Q000379:methods; D003668:Pressure Ulcer / Q000145:classification* / Q000175:diagnosis*; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D012660:Semantics; D009626:Terminology as Topic