Literature DB >> 28438104

Impact of a scribe program on patient throughput, physician productivity, and patient satisfaction in a community-based emergency department.

Waqas Shuaib1, John Hilmi, Joshua Caballero2, Ijaz Rashid3, Hashim Stanazai, Kerolos Tawfeek, Ahmed Amari, Alan Ajanovic, Alex Moshtaghi, Anjit Khurana, Hesham Hasabo, Abdulrehman Baqais4, Arthur J Szczerba4, Theodore J Gaeta5.   

Abstract

Previous literature on the impact of scribe programs varies and has mostly been reported from academic institutions or other clinics. We report the implementation of the scribe program in the emergency room of a community hospital and its impact on patient throughput, physician productivity, and patient satisfaction. We performed a quasi-experimental, before-and-after study measuring patient throughput metrics, physician productivity, and patient satisfaction. The intervention measuring the scribe implementation was divided into pre- and post-implementation periods. Patient throughput metrics were (1) door-to-room time, (2) room-to-doc time, (3) door-to-doc time, (4) doc-to-disposition time, and (5) length of stay for discharged/admitted patients. Our secondary outcome was physician productivity, which was calculated by measuring total patients seen per hour and work relative value units per hour. Additionally, we calculated the time-motion analysis in minutes to measure the emergency department physician's efficiency by recording the following: (1) chart preparation, (2) chart review, (3) doctor-patient interaction, (4) physical examination, and (5) post-visit documentation. Finally, we measured patient satisfaction as provided by Press Ganey surveys. Data analysis was conducted in 12,721 patient encounters in the pre-scribe cohort, and 13,598 patient encounters in the post-scribe cohort. All the patient throughput metrics were statistically significant (p < 0.0001). The patients per hour increased from 2.3 ± 0.3 pre-scribe to 3.2 ± 0.6 post-scribe cohorts (p < 0.001). Total work relative value units per hour increased from 241(3.1 ± 1.5 per hour) pre-scribe cohort to 336 (5.2 ± 1.4 per hour) post-scribe cohort (p < 0.001). The pre-scribe patient satisfaction was high and remained high in the post-scribe cohort. There was a significant increase in the clinician providing satisfactory feedback from the pre-scribe (3.9 ± 0.3) to the post-scribe (4.7 ± 0.1) cohorts (p < 0.01). We describe a prospective trial of medical scribe use in the emergency department setting to improve patient throughput, physician productivity, and patient satisfaction. We illustrate that scribe use in community emergency department is feasible and results in improvement in all three metrics.

Entities:  

Keywords:  patient satisfaction; patient throughput; physician productivity; scribes

Mesh:

Year:  2017        PMID: 28438104     DOI: 10.1177/1460458217704255

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  7 in total

1.  Translating ethnographic data into knowledge, skills, and attitude statements for medical scribes: a modified Delphi approach.

Authors:  Sky Corby; Joan S Ash; Keaton Whittaker; Vishnu Mohan; Nicholas Solberg; James Becton; Robby Bergstrom; Benjamin Orwoll; Christopher Hoekstra; Jeffrey A Gold
Journal:  J Am Med Inform Assoc       Date:  2022-09-12       Impact factor: 7.942

2.  Medical Scribes in an Orthopedic Sports Medicine Clinic Improve Productivity and Physician Well-Being.

Authors:  Jordan R Pollock; M Lane Moore; Aaron C Llanes; Joseph C Brinkman; Justin L Makovicka; Donald L Dulle; Nathaniel B Hinckley; Anthony Barcia; Matthew Anastasi; Anikar Chhabra
Journal:  Arthrosc Sports Med Rehabil       Date:  2022-04-08

3.  How does medical scribes' work inform development of speech-based clinical documentation technologies? A systematic review.

Authors:  Brian D Tran; Yunan Chen; Songzi Liu; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

4.  Design and implementation of a cluster randomized trial measuring benefits of medical scribes in the VA.

Authors:  Paul R Shafer; Melissa M Garrido; Elsa Pearson; Sivagaminathan Palani; Alex Woodruff; Amanda M Lyn; Katherine M Williams; Susan R Kirsh; Steven D Pizer
Journal:  Contemp Clin Trials       Date:  2021-05-25       Impact factor: 2.261

5.  Impact of scribes on emergency medicine doctors' productivity and patient throughput: multicentre randomised trial.

Authors:  Katherine Walker; Michael Ben-Meir; William Dunlop; Rachel Rosler; Adam West; Gabrielle O'Connor; Thomas Chan; Diana Badcock; Mark Putland; Kim Hansen; Carmel Crock; Danny Liew; David Taylor; Margaret Staples
Journal:  BMJ       Date:  2019-01-30

6.  Patient Age, Race and Emergency Department Treatment Area Associated with "Topbox" Press Ganey Scores.

Authors:  Moon O Lee; Jonathan Altamirano; Luis C Garcia; Michael A Gisondi; N Ewen Wang; Suzanne Lippert; Yvonne Maldonado; Laleh Gharahbaghian; Ryan Ribeira; Magali Fassiotto
Journal:  West J Emerg Med       Date:  2020-10-19

7.  Safe use of the EHR by medical scribes: a qualitative study.

Authors:  Joan S Ash; Sky Corby; Vishnu Mohan; Nicholas Solberg; James Becton; Robby Bergstrom; Benjamin Orwoll; Christopher Hoekstra; Jeffrey A Gold
Journal:  J Am Med Inform Assoc       Date:  2021-02-15       Impact factor: 4.497

  7 in total

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