Literature DB >> 26958287

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

Julie W Doberne1, Ze He2, Vishnu Mohan1, Jeffrey A Gold3, Jenna Marquard2, Michael F Chiang4.   

Abstract

Modern EHR systems are complex, and end-user behavior and training are highly variable. The need for clinicians to access key clinical data is a critical patient safety issue. This study used a mixed methods approach employing a high-fidelity EHR simulation environment, eye and screen tracking, surveys, and semi-structured interviews to characterize typical EHR usage by hospital physicians (hospitalists) as they encounter a new patient. The main findings were: 1) There were strong similarities across the groups in the information types the physicians looked at most frequently, 2) While there was no overall difference in case duration between the groups, we observed two distinct workflow types between the groups with respect to gathering information in the EHR and creating a note, and 3) A majority of the case time was devoted to note composition in both groups. This has implications for EHR interface design and raises further questions about what individual user workflows exist in the EHR.

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Mesh:

Year:  2015        PMID: 26958287      PMCID: PMC4765617     

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


  28 in total

1.  What do physicians read (and ignore) in electronic progress notes?

Authors:  P J Brown; J L Marquard; B Amster; M Romoser; J Friderici; S Goff; D Fisher
Journal:  Appl Clin Inform       Date:  2014-04-23       Impact factor: 2.342

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

Authors:  Sarah Read-Brown; David S Sanders; Anna S Brown; Thomas R Yackel; Dongseok Choi; Daniel C Tu; Michael F Chiang
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

3.  Use and characteristics of electronic health record systems among office-based physician practices: United States, 2001-2013.

Authors:  Chun-Ju Hsiao; Esther Hing
Journal:  NCHS Data Brief       Date:  2014-01

4.  Impact of an electronic health record operating room management system in ophthalmology on documentation time, surgical volume, and staffing.

Authors:  David S Sanders; Sarah Read-Brown; Daniel C Tu; William E Lambert; Dongseok Choi; Bella M Almario; Thomas R Yackel; Anna S Brown; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2014-05       Impact factor: 7.389

5.  The role of copy-and-paste in the hospital electronic health record.

Authors:  Ann M Sheehy; Daniel J Weissburg; Shannon M Dean
Journal:  JAMA Intern Med       Date:  2014-08       Impact factor: 21.873

6.  Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.

Authors:  Blackford Middleton; Meryl Bloomrosen; Mark A Dente; Bill Hashmat; Ross Koppel; J Marc Overhage; Thomas H Payne; S Trent Rosenbloom; Charlotte Weaver; Jiajie Zhang
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

7.  How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use.

Authors:  Jessica S Ancker; Lisa M Kern; Alison Edwards; Sarah Nosal; Daniel M Stein; Diane Hauser; Rainu Kaushal
Journal:  J Am Med Inform Assoc       Date:  2014-06-09       Impact factor: 4.497

8.  An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation.

Authors:  Cathal J Breen; Raymond Bond; Dewar Finlay
Journal:  J Electrocardiol       Date:  2014-08-13       Impact factor: 1.438

9.  Use and satisfaction with key functions of a common commercial electronic health record: a survey of primary care providers.

Authors:  Anil N Makam; Holly J Lanham; Kim Batchelor; Lipika Samal; Brett Moran; Temple Howell-Stampley; Lynne Kirk; Manjula Cherukuri; Noel Santini; Luci K Leykum; Ethan A Halm
Journal:  BMC Med Inform Decis Mak       Date:  2013-08-09       Impact factor: 2.796

10.  Understanding differences in electronic health record (EHR) use: linking individual physicians' perceptions of uncertainty and EHR use patterns in ambulatory care.

Authors:  Holly Jordan Lanham; Dean F Sittig; Luci K Leykum; Michael L Parchman; Jacqueline A Pugh; Reuben R McDaniel
Journal:  J Am Med Inform Assoc       Date:  2013-05-22       Impact factor: 4.497

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  10 in total

1.  Health IT Usability Focus Section: Data Use and Navigation Patterns among Medical ICU Clinicians during Electronic Chart Review.

Authors:  Matthew E Nolan; Rizwan Siwani; Haytham Helmi; Brian W Pickering; Pablo Moreno-Franco; Vitaly Herasevich
Journal:  Appl Clin Inform       Date:  2017-12-14       Impact factor: 2.342

2.  Toward Designing Information Display to Support Critical Care. A Qualitative Contextual Evaluation and Visioning Effort.

Authors:  Melanie C Wright; Sherry Dunbar; Brekk C Macpherson; Eugene W Moretti; Guillherme Del Fiol; Jean Bolte; Jeffrey M Taekman; Noa Segall
Journal:  Appl Clin Inform       Date:  2016-10-05       Impact factor: 2.342

3.  Clinical Documentation in Electronic Health Record Systems: Analysis of Patient Record Review During Outpatient Ophthalmology Visits.

Authors:  Michelle R Hribar; David Biermann; Isaac H Goldstein; Michael F Chiang
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

4.  Challenges and Opportunities to Improve the Clinician Experience Reviewing Electronic Progress Notes.

Authors:  Gretchen M Hultman; Jenna L Marquard; Elizabeth Lindemann; Elliot Arsoniadis; Serguei Pakhomov; Genevieve B Melton
Journal:  Appl Clin Inform       Date:  2019-06-19       Impact factor: 2.342

5.  Association between ICU interruptions and physicians trainees' electronic health records efficiency.

Authors:  Saif Khairat; Eman Metwally; Cameron Coleman; Elaine James; Samantha Eaker; Thomas Bice
Journal:  Inform Health Soc Care       Date:  2021-02-18       Impact factor: 3.082

6.  Use of Simulation Based on an Electronic Health Records Environment to Evaluate the Structure and Accuracy of Notes Generated by Medical Scribes: Proof-of-Concept Study.

Authors:  Robert Pranaat; Vishnu Mohan; Megan O'Reilly; Maxwell Hirsh; Karess McGrath; Gretchen Scholl; Deborah Woodcock; Jeffrey A Gold
Journal:  JMIR Med Inform       Date:  2017-09-20

7.  Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR.

Authors:  Andrew J King; Harry Hochheiser; Shyam Visweswaran; Gilles Clermont; Gregory F Cooper
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2017-07-26

8.  Sex Differences in Electronic Health Record Navigation Strategies: Secondary Data Analysis.

Authors:  Daniel R Seifer; Karess Mcgrath; Gretchen Scholl; Vishnu Mohan; Jeffrey A Gold
Journal:  JMIR Hum Factors       Date:  2021-06-24

9.  Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study.

Authors:  Andrew J King; Gregory F Cooper; Gilles Clermont; Harry Hochheiser; Milos Hauskrecht; Dean F Sittig; Shyam Visweswaran
Journal:  J Med Internet Res       Date:  2020-04-02       Impact factor: 5.428

10.  Evaluation of eye tracking for a decision support application.

Authors:  Shyam Visweswaran; Andrew J King; Mohammadamin Tajgardoon; Luca Calzoni; Gilles Clermont; Harry Hochheiser; Gregory F Cooper
Journal:  JAMIA Open       Date:  2021-08-02
  10 in total

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