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      The impact of electronic health records on time efficiency of physicians and nurses: a systematic review.

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          Abstract

          A systematic review of the literature was performed to examine the impact of electronic health records (EHRs) on documentation time of physicians and nurses and to identify factors that may explain efficiency differences across studies. In total, 23 papers met our inclusion criteria; five were randomized controlled trials, six were posttest control studies, and 12 were one-group pretest-posttest designs. Most studies (58%) collected data using a time and motion methodology in comparison to work sampling (33%) and self-report/survey methods (8%). A weighted average approach was used to combine results from the studies. The use of bedside terminals and central station desktops saved nurses, respectively, 24.5% and 23.5% of their overall time spent documenting during a shift. Using bedside or point-of-care systems increased documentation time of physicians by 17.5%. In comparison, the use of central station desktops for computerized provider order entry (CPOE) was found to be inefficient, increasing the work time from 98.1% to 328.6% of physician's time per working shift (weighted average of CPOE-oriented studies, 238.4%). Studies that conducted their evaluation process relatively soon after implementation of the EHR tended to demonstrate a reduction in documentation time in comparison to the increases observed with those that had a longer time period between implementation and the evaluation process. This review highlighted that a goal of decreased documentation time in an EHR project is not likely to be realized. It also identified how the selection of bedside or central station desktop EHRs may influence documentation time for the two main user groups, physicians and nurses.

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          Author and article information

          Journal
          J Am Med Inform Assoc
          Journal of the American Medical Informatics Association : JAMIA
          Elsevier BV
          1067-5027
          1067-5027
          May 21 2005
          : 12
          : 5
          Affiliations
          [1 ] Clinical and Health Informatics Research Group, McGill University, Morrice House, 1140 Pine Ave. West, Montreal Quebec, Canada H3A 1A3. lise.poissant@mcgill.ca
          Article
          M1700
          10.1197/jamia.M1700
          1205599
          15905487
          cf951a33-1cff-4689-b9a5-2afaa8a1a6c1
          History

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