Literature DB >> 18600132

Assessing the impact of an electronic medical record on nurse documentation time.

Brian Hakes1, John Whittington.   

Abstract

Work sampling measured nurse documentation time before and after the implementation of an electronic medical record on a medical-surgical nursing unit. Documentation was separated into subprocesses of admissions, discharges, and routine/daily documentations. Production rate of documentation time is defined and measured. The results indicate that there is no difference in documentation time between pre-electronic medical record and post-electronic medical record for admissions and routine/daily documentation time. Post-electronic medical record documentation time was longer than that in the pre-electronic medical record for patients discharged to a nursing home. It was demonstrated that the electronic medical record may reduce documentation time after the adoption of computerized physician order entry.

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Year:  2008        PMID: 18600132     DOI: 10.1097/01.NCN.0000304801.00628.ab

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


  16 in total

1.  A Theoretical Framework for Understanding Creator-Consumer Information Interaction Behaviors in Healthcare Documentation Systems.

Authors:  Priyadarshini R Pennathur
Journal:  Appl Ergon       Date:  2020-01-10       Impact factor: 3.661

2.  U.S. hospital efficiency and adoption of health information technology.

Authors:  Natalia A Zhivan; Mark L Diana
Journal:  Health Care Manag Sci       Date:  2011-09-16

3.  Improving efficiency and reducing administrative burden through electronic communication.

Authors:  Katlyn E Cook; Gail M Ludens; Amit K Ghosh; William C Mundell; Kevin C Fleming; Andrew J Majka
Journal:  Perm J       Date:  2013

4.  The effect of an electronic health record system on nursing staff time in a nursing home: a longitudinal cohort study.

Authors:  Esther Munyisia; Ping Yu; David Hailey
Journal:  Australas Med J       Date:  2014-07-31

Review 5.  Time motion studies in healthcare: what are we talking about?

Authors:  Marcelo Lopetegui; Po-Yin Yen; Albert Lai; Joseph Jeffries; Peter Embi; Philip Payne
Journal:  J Biomed Inform       Date:  2014-03-07       Impact factor: 6.317

6.  An Interprofessional Approach to Clinical Workflow Evaluation Focused on the Electronic Health Record Using Time motion Study Methods.

Authors:  Jessica Schwartz; Jonathan Elias; Cody Slater; Kenrick Cato; Sarah Collins Rossetti
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

7.  Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction.

Authors:  Hanna Suominen; Maree Johnson; Liyuan Zhou; Paula Sanchez; Raul Sirel; Jim Basilakis; Leif Hanlen; Dominique Estival; Linda Dawson; Barbara Kelly
Journal:  J Am Med Inform Assoc       Date:  2014-10-21       Impact factor: 4.497

8.  Electronic medical records, nurse staffing, and nurse-sensitive patient outcomes: evidence from California hospitals, 1998-2007.

Authors:  Michael F Furukawa; T S Raghu; Benjamin B M Shao
Journal:  Health Serv Res       Date:  2010-04-09       Impact factor: 3.402

9.  Interaction Time with Electronic Health Records: A Systematic Review.

Authors:  Yuliya Pinevich; Kathryn J Clark; Andrew M Harrison; Brian W Pickering; Vitaly Herasevich
Journal:  Appl Clin Inform       Date:  2021-08-25       Impact factor: 2.762

10.  BALANCING DOCUMENTATION AND DIRECT PATIENT CARE ACTIVITIES: A STUDY OF A MATURE ELECTRONIC HEALTH RECORD SYSTEM.

Authors:  Amirmasoud Momenipur; Priyadarshini R Pennathur
Journal:  Int J Ind Ergon       Date:  2019-07-01       Impact factor: 2.656

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