Literature DB >> 24551402

Time-motion analysis of clinical nursing documentation during implementation of an electronic operating room management system for ophthalmic surgery.

Sarah Read-Brown1, David S Sanders1, Anna S Brown1, Thomas R Yackel2, Dongseok Choi3, Daniel C Tu1, Michael F Chiang4.   

Abstract

Efficiency and quality of documentation are critical in surgical settings because operating rooms are a major source of revenue, and because adverse events may have enormous consequences. Electronic health records (EHRs) have potential to impact surgical volume, quality, and documentation time. Ophthalmology is an ideal domain to examine these issues because procedures are high-throughput and demand efficient documentation. This time-motion study examines nursing documentation during implementation of an EHR operating room management system in an ophthalmology department. Key findings are: (1) EHR nursing documentation time was significantly worse during early implementation, but improved to a level near but slightly worse than paper baseline, (2) Mean documentation time varied significantly among nurses during early implementation, and (3) There was no decrease in operating room turnover time or surgical volume after implementation. These findings have important implications for ambulatory surgery departments planning EHR implementation, and for research in system design.

Mesh:

Year:  2013        PMID: 24551402      PMCID: PMC3900139     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  29 in total

Review 1.  A primer on aspects of cognition for medical informatics.

Authors:  V L Patel; J F Arocha; D R Kaufman
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

2.  A randomized evaluation of a computer-based nursing documentation system.

Authors:  E Ammenwerth; R Eichstädter; R Haux; U Pohl; S Rebel; S Ziegler
Journal:  Methods Inf Med       Date:  2001-05       Impact factor: 2.176

3.  Charting by exception.

Authors:  Ellen K Murphy
Journal:  AORN J       Date:  2003-11       Impact factor: 0.676

4.  Changes in intensive care unit nurse task activity after installation of a third-generation intensive care unit information system.

Authors:  David H Wong; Yvonne Gallegos; Matthew B Weinger; Sara Clack; Jason Slagle; Cynthia T Anderson
Journal:  Crit Care Med       Date:  2003-10       Impact factor: 7.598

5.  Electronic medical records in solo/small groups: a qualitative study of physician user types.

Authors:  Robert H Miller; Ida Sim; Jeff Newman
Journal:  Stud Health Technol Inform       Date:  2004

6.  Physicians' use of electronic medical records: barriers and solutions.

Authors:  Robert H Miller; Ida Sim
Journal:  Health Aff (Millwood)       Date:  2004 Mar-Apr       Impact factor: 6.301

7.  Electronic health record systems in ophthalmology: impact on clinical documentation.

Authors:  David S Sanders; Daniel J Lattin; Sarah Read-Brown; Daniel C Tu; David J Wilson; Thomas S Hwang; John C Morrison; Thomas R Yackel; Michael F Chiang
Journal:  Ophthalmology       Date:  2013-05-16       Impact factor: 12.079

8.  Using a personal digital assistant enhances gathering of patient data on an acute pain management service: a pilot study.

Authors:  Elizabeth G VanDenKerkhof; David H Goldstein; Jeremy Lane; Michael J Rimmer; Janice P Van Dijk
Journal:  Can J Anaesth       Date:  2003-04       Impact factor: 5.063

9.  The use of electronic medical records: communication patterns in outpatient encounters.

Authors:  G Makoul; R H Curry; P C Tang
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

10.  A cost-benefit analysis of electronic medical records in primary care.

Authors:  Samuel J Wang; Blackford Middleton; Lisa A Prosser; Christiana G Bardon; Cynthia D Spurr; Patricia J Carchidi; Anne F Kittler; Robert C Goldszer; David G Fairchild; Andrew J Sussman; Gilad J Kuperman; David W Bates
Journal:  Am J Med       Date:  2003-04-01       Impact factor: 4.965

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  7 in total

1.  Quantifying and Visualizing Nursing Flowsheet Documentation Burden in Acute and Critical Care.

Authors:  Sarah Collins; Brittany Couture; Min Jeoung Kang; Patricia Dykes; Kumiko Schnock; Chris Knaplund; Frank Chang; Kenrick Cato
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

2.  Using High-Fidelity Simulation and Eye Tracking to Characterize EHR Workflow Patterns among Hospital Physicians.

Authors:  Julie W Doberne; Ze He; Vishnu Mohan; Jeffrey A Gold; Jenna Marquard; Michael F Chiang
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

3.  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

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.  Nurses' Stress Associated with Nursing Activities and Electronic Health Records: Data Triangulation from Continuous Stress Monitoring, Perceived Workload, and a Time Motion Study.

Authors:  Po-Yin Yen; Nicole Pearl; Cierra Jethro; Emily Cooney; Brittany McNeil; Ling Chen; Marcelo Lopetegui; Thomas M Maddox; Marilyn Schallom
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

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.  Which Electronic Health Record System Should We Use? A Systematic Review.

Authors:  Mohammed Al Ani; George Garas; James Hollingshead; Drostan Cheetham; Thanos Athanasiou; Vanash Patel
Journal:  Med Princ Pract       Date:  2022-05-18       Impact factor: 2.132

  7 in total

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