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NTIS 바로가기Computers, informatics, nursing : CIN, v.31 no.1, 2013년, pp.45 - 51
AHN, HEE-JUNG , PARK, HYEOUN-AE
The purpose of this study was to determine whether the frequency of adverse drug events can be extracted by analyzing narrative nursing statements documented in standardized terminology-based electronic nursing records. For this study, we reviewed the narrative nursing documentations of 487 admissio...
Drug Saf Krahenbuhl-Melcher 30 5 379 2007 10.2165/00002018-200730050-00003 Drug-related problems in hospitals: a review of the recent literature.
JAMA Lazarou 279 15 1200 1998 10.1001/jama.279.15.1200 Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies.
J Am Med Inform Assoc Foster 19 1 31 2012 10.1136/amiajnl-2011-000454 A systematic review to evaluate the accuracy of electronic adverse drug event detection.
J Am Med Inform Assoc Bates 10 2 115 2003 10.1197/jamia.M1074 Detecting adverse events using information technology.
Qual Saf Health Care Rozich 12 3 194 2003 10.1136/qhc.12.3.194 Adverse drug event trigger tool: a practical methodology for measuring medication related harm.
J Am Med Inform Assoc Melton 12 4 448 2005 10.1197/jamia.M1794 Automated detection of adverse events using natural language processing of discharge summaries.
Pharmacoepidemiol Drug Saf Backstrom 11 8 647 2002 10.1002/pds.753 Spontaneous reporting of adverse drug reactions by nurses.
Br J Clin Pharmacol Ranganathan 56 6 658 2002 10.1046/j.1365-2125.2003.01903.x The involvement of nurses in reporting suspected adverse drug reactions: experience with the meningococcal vaccination scheme.
AMIA Annu Symp Proc Hurdle 309- 312 2003 Critical gaps in the worlds largest electronic medical record: ad hoc nursing narratives and invisible adverse events.
Int J Med Inform Park 76 10 735 2007 10.1016/j.ijmedinf.2006.07.005 Modelling a terminology-based electronic nursing record system: an object-oriented approach.
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