Literature DB >> 27375293

The electronic health record audit file: the patient is waiting.

Annemarie G Hirsch1, J B Jones2, Virginia R Lerch3, Xiaoqin Tang4, Andrea Berger1, Deserae N Clark5, Walter F Stewart2.   

Abstract

OBJECTIVE: We describe how electronic health record (EHR) audit files can be used to understand how time is spent in primary care (PC). MATERIALS/
METHODS: We used audit file data from the Geisinger Clinic to quantify elements of the clinical workflow and to determine how these times vary by patient and encounter factors. We randomly selected audit file records representing 36 437 PC encounters across 26 clinic locations. Audit file data were used to estimate duration and variance of: (1) time in the waiting room, (2) nurse time with the patient, (3) time in the exam room without a nurse or physician, and (4) physician time with the patient. Multivariate modeling was used to test for differences by patient and by encounter features.
RESULTS: On average, a PC encounter took 54.6 minutes, with 5 minutes of nurse time, 15.5 minutes of physician time, and the remaining 62% of the time spent waiting to see a clinician or check out. Older age, female sex, and chronic disease were associated with longer wait times and longer time with clinicians. Level of service and numbers of medications, procedures, and lab orders were associated with longer time with clinicians. Late check-in and same-day visits were associated with shorter wait time and clinician time.
CONCLUSIONS: This study provides insights on uses of audit file data for workflow analysis during PC encounters. DISCUSSION: Scalable ways to quantify clinical encounter workflow elements may provide the means to develop more efficient approaches to care and improve the patient experience.
© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Entities:  

Keywords:  electronic health records; primary health care; workflow

Mesh:

Year:  2017        PMID: 27375293      PMCID: PMC7651927          DOI: 10.1093/jamia/ocw088

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  18 in total

1.  Role prediction using Electronic Medical Record system audits.

Authors:  Wen Zhang; Carl A Gunter; David Liebovitz; Jian Tian; Bradley Malin
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Measuring use of electronic health record functionality using system audit information.

Authors:  Watson A Bowes
Journal:  Stud Health Technol Inform       Date:  2010

Review 3.  Traversing the many paths of workflow research: developing a conceptual framework of workflow terminology through a systematic literature review.

Authors:  Kim M Unertl; Laurie L Novak; Kevin B Johnson; Nancy M Lorenzi
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

4.  Physician burnout: a potential threat to successful health care reform.

Authors:  Liselotte N Dyrbye; Tait D Shanafelt
Journal:  JAMA       Date:  2011-05-18       Impact factor: 56.272

5.  Burnout and satisfaction with work-life balance among US physicians relative to the general US population.

Authors:  Tait D Shanafelt; Sonja Boone; Litjen Tan; Lotte N Dyrbye; Wayne Sotile; Daniel Satele; Colin P West; Jeff Sloan; Michael R Oreskovich
Journal:  Arch Intern Med       Date:  2012-10-08

6.  Patient experience should be part of meaningful-use criteria.

Authors:  James D Ralston; Katie Coleman; Robert J Reid; Matthew R Handley; Eric B Larson
Journal:  Health Aff (Millwood)       Date:  2010-04       Impact factor: 6.301

7.  A new sociotechnical model for studying health information technology in complex adaptive healthcare systems.

Authors:  Dean F Sittig; Hardeep Singh
Journal:  Qual Saf Health Care       Date:  2010-10

8.  Time allocation in primary care office visits.

Authors:  Ming Tai-Seale; Thomas G McGuire; Weimin Zhang
Journal:  Health Serv Res       Date:  2007-10       Impact factor: 3.402

9.  Timeliness in ambulatory care treatment. An examination of patient satisfaction and wait times in medical practices and outpatient test and treatment facilities.

Authors:  Kelly M Leddy; Dennis O Kaldenberg; Boris W Becker
Journal:  J Ambul Care Manage       Date:  2003 Apr-Jun

10.  Awareness of the Care Team in Electronic Health Records.

Authors:  David K Vawdrey; Lauren G Wilcox; Sarah Collins; Steven Feiner; Olena Mamykina; Daniel M Stein; Suzanne Bakken; Matthew R Fred; Peter D Stetson
Journal:  Appl Clin Inform       Date:  2011       Impact factor: 2.342

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  9 in total

1.  Using EHR audit trail logs to analyze clinical workflow: A case study from community-based ambulatory clinics.

Authors:  Danny T Y Wu; Nikolas Smart; Elizabeth L Ciemins; Holly J Lanham; Curt Lindberg; Kai Zheng
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

Review 2.  Studying Workflow and Workarounds in Electronic Health Record-Supported Work to Improve Health System Performance.

Authors:  Kai Zheng; Raj M Ratwani; Julia Adler-Milstein
Journal:  Ann Intern Med       Date:  2020-06-02       Impact factor: 25.391

3.  Learning Tasks of Pediatric Providers from Electronic Health Record Audit Logs.

Authors:  Barrett Jones; Xinmeng Zhang; Bradley A Malin; You Chen
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

4.  Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.

Authors:  Adam Rule; Michael F Chiang; Michelle R Hribar
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

5.  Secondary use of electronic health record data for clinical workflow analysis.

Authors:  Michelle R Hribar; Sarah Read-Brown; Isaac H Goldstein; Leah G Reznick; Lorinna Lombardi; Mansi Parikh; Winston Chamberlain; Michael F Chiang
Journal:  J Am Med Inform Assoc       Date:  2018-01-01       Impact factor: 4.497

6.  Attributing Patients to Pediatric Residents Using Electronic Health Record Features Augmented with Audit Logs.

Authors:  Mark V Mai; Evan W Orenstein; John D Manning; Anthony A Luberti; Adam C Dziorny
Journal:  Appl Clin Inform       Date:  2020-06-24       Impact factor: 2.342

7.  Use of Electronic Health Record Access and Audit Logs to Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study.

Authors:  Azraa Amroze; Terry S Field; Hassan Fouayzi; Devi Sundaresan; Laura Burns; Lawrence Garber; Rajani S Sadasivam; Kathleen M Mazor; Jerry H Gurwitz; Sarah L Cutrona
Journal:  JMIR Med Inform       Date:  2019-02-07

8.  The Impact of Electronic Health Records on the Duration of Patients' Visits: Time and Motion Study.

Authors:  Abdulrahman Mohammed Jabour
Journal:  JMIR Med Inform       Date:  2020-02-07

9.  An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results.

Authors:  Jordan G Nestor; Alexander Fedotov; David Fasel; Maddalena Marasa; Hila Milo-Rasouly; Julia Wynn; Wendy K Chung; Ali Gharavi; George Hripcsak; Suzanne Bakken; Soumitra Sengupta; Chunhua Weng
Journal:  JAMIA Open       Date:  2021-03-01
  9 in total

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