Evidence map›Paper›PMID 32074650›Full record

ArticleApplied clinical informatics2020

Promoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era.

Sally L Baxter, Helena E Gali, Michael F Chiang, Michelle R Hribar, Lucila Ohno-Machado, Robert El-Kareh, Abigail E Huang, Heather E Chen, Andrew S Camp, Don O Kikkawa and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Sally L BaxterShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, United States.
Helena E GaliShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, United States.
Michael F ChiangDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon, United States.
Michelle R HribarDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon, United States.
Lucila Ohno-MachadoHealth Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States.
Robert El-KarehHealth Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States.
Abigail E HuangDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon, United States.
Heather E ChenShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, United States.
Andrew S CampShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, United States.
Don O KikkawaShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, United States.
Bobby S KornShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, United States.
Jeffrey E LeeShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, United States.
Christopher A LonghurstHealth Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States.
Marlene MillenHealth Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States.
University of California, San Diego · USOregon Health & Science University · USVA San Diego Healthcare System · US

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
SAN DIEGO CLINICAL AND TRANSLATIONAL RESEARCH INSTITUTEUL1RR031980 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2010 to 2011
$14.0M
Vision BiostatisticsP30EY022589 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LINDA M ZANGWILL · 2012 to 2026
$10.3M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Modeling and Optimization of Clinical Processes Using EHR DataR00LM012238 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI HRIBAR, MICHELLE · 2017 to 2019
$672k
NCRR NIH HHS UL1 RR031980NEI NIH HHS P30 EY010572NEI NIH HHS P30 EY022589NLM NIH HHS R00 LM012238NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

objectiveTo evaluate informatics-enabled quality improvement (QI) strategies for promoting time spent on face-to-face communication between ophthalmologists and patients.

methodsThis prospective study involved deploying QI strategies during implementation of an enterprise-wide vendor electronic health record (EHR) in an outpatient academic ophthalmology department. Strategies included developing single sign-on capabilities, activating mobile- and tablet-based applications, EHR personalization training, creating novel workflows for team-based orders, and promoting problem-based charting to reduce documentation burden. Timing data were collected during 648 outpatient encounters. Outcomes included total time spent by the attending ophthalmologist on the patient, time spent on documentation, time spent on examination, and time spent talking with the patient. Metrics related to documentation efficiency, use of personalization features, use of team-based orders, and note length were also measured from the EHR efficiency portal and compared with averages for ophthalmologists nationwide using the same EHR.

resultsTime spent on exclusive face-to-face communication with patients initially decreased with EHR implementation (2.9 to 2.3 minutes,

conclusionInformatics-enabled QI interventions can promote patient-centeredness and face-to-face communication in high-volume outpatient ophthalmology encounters. By employing an array of interventions, time spent exclusively talking with the patient returned to levels equivalent to paper charts by 6 months after EHR implementation. This was achieved without requiring EHR redesign, use of scribes, or excessive after-hours work. Documentation efficiency can be achieved using interventions promoting personalization and team-based workflows. Given their efficacy in preserving face-to-face physician-patient interactions, these strategies may help alleviate risk of physician burnout.

Indexed as

CommunicationElectronic Health RecordsOphthalmologyAdultCell PhoneCohort StudiesDocumentationHumansOutcome Assessment, Health CareOutpatientsPatient SatisfactionTime Factors

Identifiers

PMID32074650
PMCPMC7030957
OpenAlexW3007766552

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.