Literature DB >> 22411416

Impact of electronic health records on nurses' productivity.

Ibrahim Abbass1, Jeffrey Helton, Shivani Mhatre, Sujit S Sansgiry.   

Abstract

As the use of electronic health records increases, it becomes necessary to address their global impact on nurses' productivity in hospitals. A retrospective cross-sectional study was conducted to explore the impact of electronic health records on nurses' productivity and to examine whether the impacts are moderated through case-mix index or adjusted patient-days. Two sources of data were linked and analyzed for years 2007 and 2008: the American Hospital Association survey and the Centers for Medicare & Medicaid Services data. Almost two-thirds of the respondent hospitals in both years (63.9% in 2007 and 68.4% in 2008) had a high electronic health record index (≥5). Hospitals with higher penetration of electronic health records had more RNs employed (coefficient=0.234, P=.002) compared with hospitals with low penetration of electronic health records, even when controlling for adjusted patient-day volumes. This difference decreased for hospitals with higher case-mix index values. The study findings fail to suggest any financial savings or superior productivity in nurses due to usage of electronic health records.

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Year:  2012        PMID: 22411416     DOI: 10.1097/NXN.0b013e31824b29a8

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  3 in total

1.  Identification and analysis of labor productivity components based on ACHIEVE model (case study: staff of Kermanshah University of Medical Sciences).

Authors:  Arash Ziapour; Alireza Khatony; Neda Kianipour; Faranak Jafary
Journal:  Glob J Health Sci       Date:  2014-12-15

2.  Factors Associated With Electronic Health Record Usage Among Primary Care Physicians After Hours: Retrospective Cohort Study.

Authors:  Selasi Attipoe; Yungui Huang; Sharon Schweikhart; Steve Rust; Jeffrey Hoffman; Simon Lin
Journal:  JMIR Hum Factors       Date:  2019-09-30

3.  A survey-based study of factors that motivate nurses to protect the privacy of electronic medical records.

Authors:  Chen-Chung Ma; Kuang-Ming Kuo; Judith W Alexander
Journal:  BMC Med Inform Decis Mak       Date:  2016-02-02       Impact factor: 2.796

  3 in total

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