Literature DB >> 31216591

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

Gretchen M Hultman1, Jenna L Marquard2, Elizabeth Lindemann3, Elliot Arsoniadis1,3, Serguei Pakhomov1,4, Genevieve B Melton1,3.   

Abstract

BACKGROUND: High-quality clinical notes are essential to effective clinical communication. However, electronic clinical notes are often long, difficult to review, and contain information that is potentially extraneous or out of date. Additionally, many clinicians write electronic clinical notes using customized templates, resulting in notes with significant variability in structure. There is a need to understand better how clinicians review electronic notes and how note structure variability may impact clinicians' note-reviewing experiences.
OBJECTIVE: This article aims to understand how physicians review electronic clinical notes and what impact section order has on note-reviewing patterns.
MATERIALS AND METHODS: We conducted an experiment utilizing an electronic health record (EHR) system prototype containing four anonymized patient cases, each composed of nine progress notes that were presented with note sections organized in different orders to different subjects (i.e., Subjective, Objective, Assessment, and Plan, Assessment, Plan, Subjective, and Objective, Subjective, Assessment, Objective, and Plan, and Mixed). Participants, who were mid-level residents and fellows, reviewed the cases and provided a brief summary after reviewing each case. Time-related data were collected and analyzed using descriptive statistics. Surveys were administered and interviews regarding experiences reviewing notes were collected and analyzed qualitatively.
RESULTS: Qualitatively, participants reported challenges related to reviewing electronic clinical notes. Experimentally, time spent reviewing notes varied based on the note section organization. Consistency in note section organization improved performance (e.g., less scrolling and searching) compared with Mixed section organization when reviewing progress notes. DISCUSSION: Clinicians face significant challenges reviewing electronic clinical notes. Our findings support minimizing extraneous information in notes, removing information that can be found in other parts of the EHR, and standardizing the display and order of note sections to improve clinicians' note review experience.
CONCLUSION: Our findings support the need to improve EHR note design and presentation to support optimal note review patterns for clinicians. Georg Thieme Verlag KG Stuttgart · New York.

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Mesh:

Year:  2019        PMID: 31216591      PMCID: PMC6584143          DOI: 10.1055/s-0039-1692164

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  23 in total

1.  The PEN-Ivory project: exploring user-interface design for the selection of items from large controlled vocabularies of medicine.

Authors:  A D Poon; L M Fagan; E H Shortliffe
Journal:  J Am Med Inform Assoc       Date:  1996 Mar-Apr       Impact factor: 4.497

Review 2.  Extracting information from textual documents in the electronic health record: a review of recent research.

Authors:  S M Meystre; G K Savova; K C Kipper-Schuler; J F Hurdle
Journal:  Yearb Med Inform       Date:  2008

3.  Association of Medical Directors of Information Systems consensus on inpatient electronic health record documentation.

Authors:  J Shoolin; L Ozeran; C Hamann; W Bria
Journal:  Appl Clin Inform       Date:  2013-06-26       Impact factor: 2.342

4.  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

5.  Physician Information Needs and Electronic Health Records (EHRs): Time to Reengineer the Clinic Note.

Authors:  Richelle J Koopman; Linsey M Barker Steege; Joi L Moore; Martina A Clarke; Shannon M Canfield; Min S Kim; Jeffery L Belden
Journal:  J Am Board Fam Med       Date:  2015 May-Jun       Impact factor: 2.657

6.  Usability problems do not heal by themselves: National survey on physicians' experiences with EHRs in Finland.

Authors:  Johanna Kaipio; Tinja Lääveri; Hannele Hyppönen; Suvi Vainiomäki; Jarmo Reponen; Andre Kushniruk; Elizabeth Borycki; Jukka Vänskä
Journal:  Int J Med Inform       Date:  2016-10-17       Impact factor: 4.046

7.  A hospital-wide transition from paper to digital problem-oriented clinical notes. A descriptive history and cross-sectional survey of use, usability, and satisfaction.

Authors:  Felix H J M Cillessen; Pieter F de Vries Robbé; Marion C J Biermans
Journal:  Appl Clin Inform       Date:  2017-05-17       Impact factor: 2.342

8.  Health care provider satisfaction with a new electronic progress note format: SOAP vs APSO format.

Authors:  Chen-Tan Lin; Marlene McKenzie; Jonathan Pell; Liron Caplan
Journal:  JAMA Intern Med       Date:  2013-01-28       Impact factor: 21.873

9.  Prevalence of copied information by attendings and residents in critical care progress notes.

Authors:  J Daryl Thornton; Jesse D Schold; Lokesh Venkateshaiah; Bradley Lander
Journal:  Crit Care Med       Date:  2013-02       Impact factor: 7.598

10.  Writing and reading in the electronic health record: an entirely new world.

Authors:  Heeyoung Han; Lauri Lopp
Journal:  Med Educ Online       Date:  2013-02-05
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  6 in total

1.  Evaluating Electronic Health Record Limitations and Time Expenditure in a German Medical Center.

Authors:  Tom de Hoop; Thomas Neumuth
Journal:  Appl Clin Inform       Date:  2021-12-22       Impact factor: 2.342

2.  Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.

Authors:  Yanjun Gao; Timothy Miller; Dongfang Xu; Dmitriy Dligach; Matthew M Churpek; Majid Afshar
Journal:  Proc Int Conf Comput Ling       Date:  2022-10

3.  Clinical Thinking via Electronic Note Templates: Who Benefits?

Authors:  April Savoy; Richard Frankel; Michael Weiner
Journal:  J Gen Intern Med       Date:  2021-03       Impact factor: 5.128

4.  Building the evidence-base to reduce electronic health record-related clinician burden.

Authors:  Christine Dymek; Bryan Kim; Genevieve B Melton; Thomas H Payne; Hardeep Singh; Chun-Ju Hsiao
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

5.  Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding.

Authors:  Yanjun Gao; Dmitriy Dligach; Timothy Miller; Samuel Tesch; Ryan Laffin; Matthew M Churpek; Majid Afshar
Journal:  LREC Int Conf Lang Resour Eval       Date:  2022-06

6.  Resident Physician Experience and Duration of Electronic Health Record Use.

Authors:  A Jay Holmgren; Brenessa Lindeman; Eric W Ford
Journal:  Appl Clin Inform       Date:  2021-08-04       Impact factor: 2.762

  6 in total

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