Literature DB >> 21685832

Automated clinical documentation: does it allow nurses more time for patient care?

Laura Banner1, Christine M Olney.   

Abstract

When a west central Florida hospital prepared to move to an electronic health record with a clinical documentation system, the nursing staff and administration were concerned about the effects that the technology change would have on nursing work behavior. Specifically, would the move toward automation increase the time at the bedside, decrease the time nurses spent on documentation, and decrease time spent on administrative tasks? A time-in-motion study was conducted to specifically measure six categories of nurse work behavior on a progressive cardiac unit. The nurses were observed by data collectors prior to the implementation of the electronic health record and then again a year after the implementation. Results showed a significant increase (P=.000) in the amount of time nurses devoted to direct care. Furthermore, there was a significant increase (P=.000) in the time nurses spent documenting after the implementation of the electronic system. Much of the increased time available for direct care and documentation came from a 12% decrease in the time nurses spent on administrative tasks after implementing the automated documentation system. For this progressive cardiac unit, the move to automated documentation seems to be a positive step in developing a fully interactive computerized system.

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Year:  2009        PMID: 21685832     DOI: 10.1097/NCN.0b013e318197287d

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


  15 in total

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2.  IT sophistication and quality measures in nursing homes.

Authors:  Gregory L Alexander; Richard Madsen
Journal:  J Gerontol Nurs       Date:  2009-06-22       Impact factor: 1.254

Review 3.  Nurse workarounds in the electronic health record: An integrative review.

Authors:  Dan Fraczkowski; Jeffrey Matson; Karen Dunn Lopez
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

4.  Nurses' Time Allocation and Multitasking of Nursing Activities: A Time Motion Study.

Authors:  Po-Yin Yen; Marjorie Kellye; Marcelo Lopetegui; Abhijoy Saha; Jacqueline Loversidge; Esther M Chipps; Lynn Gallagher-Ford; Jacalyn Buck
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

5.  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

6.  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

7.  25 × 5 Symposium to Reduce Documentation Burden: Report-out and Call for Action.

Authors:  Mollie Hobensack; Deborah R Levy; Kenrick Cato; Don E Detmer; Kevin B Johnson; Jeffrey Williamson; Judy Murphy; Amanda Moy; Jennifer Withall; Rachel Lee; Sarah Collins Rossetti; Samuel Trent Rosenbloom
Journal:  Appl Clin Inform       Date:  2022-05-11       Impact factor: 2.762

8.  Benchmarking clinical speech recognition and information extraction: new data, methods, and evaluations.

Authors:  Hanna Suominen; Liyuan Zhou; Leif Hanlen; Gabriela Ferraro
Journal:  JMIR Med Inform       Date:  2015-04-27

9.  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

10.  Examining the role of information exchange in residential aged care work practices--a survey of residential aged care facilities.

Authors:  Sarah Gaskin; Andrew Georgiou; Donna Barton; Johanna Westbrook
Journal:  BMC Geriatr       Date:  2012-08-02       Impact factor: 3.921

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