Applied nursing informatics research-state-of-the-art methodologies using electronic health record data

Jung In Park, Lisiane Pruinell, Bonnie L Westra, Connie W. Delaney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

With the pervasive implementation of electronic health records (EHR), new opportunities arise for nursing research through use of EHR data. Increasingly, comparative effectiveness research within and across health systems is conducted to identify the impact of nursing for improving health, health care, and lowering costs of care. Use of EHR data for this type of research requires use of national and internationally recognized nursing terminologies to normalize data. Research methods are evolving as large data sets become available through EHRs. Little is known about the types of research and analytic methods for applied to nursing research using EHR data normalized with nursing terminologies. The purpose of this paper is to report on a subset of a systematic review of peer reviewed studies related to applied nursing informatics research involving EHR data using standardized nursing terminologies.

Original languageEnglish (US)
Title of host publicationNursing Informatics 2014
Subtitle of host publicationEast Meets West eSMART+ - Proceedings of the 12th International Congress on Nursing Informatics, NI 2014
PublisherIOS Press
Pages395-400
Number of pages6
ISBN (Print)9781614994145
DOIs
StatePublished - 2014
Event12th International Congress on Nursing Informatics: East Meets West eSMART+, NI 2014 - Taipei, Taiwan, Province of China
Duration: Jun 21 2014Jun 25 2014

Publication series

NameStudies in Health Technology and Informatics
Volume201
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other12th International Congress on Nursing Informatics: East Meets West eSMART+, NI 2014
Country/TerritoryTaiwan, Province of China
CityTaipei
Period6/21/146/25/14

Keywords

  • Applied nursing informatics
  • electronic health record data
  • nursing informatics

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