Evidence map›Paper›PMID 31809488›Full record

ArticleOphthalmic plastic and reconstructive surgery

Evaluation of Electronic Health Record Implementation in an Academic Oculoplastics Practice.

Allison J Chen, Sally L Baxter, Helena E Gali, Christopher P Long, Daniel J Ozzello, Catherine Y Liu, Bobby S Korn, Don O Kikkawa

Open access · greenAbstract read
In one paragraph

Article in Ophthalmic plastic and reconstructive surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

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

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Allison J ChenUC San Diego Division of Oculofacial Plastic and Reconstructive Surgery, Shiley Eye Institute and Viterbi Family Department of Ophthalmology.
Sally L BaxterShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD).
Helena E GaliShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD).
Christopher P LongShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD).
Daniel J OzzelloUC San Diego Division of Oculofacial Plastic and Reconstructive Surgery, Shiley Eye Institute and Viterbi Family Department of Ophthalmology.
Catherine Y LiuUC San Diego Division of Oculofacial Plastic and Reconstructive Surgery, Shiley Eye Institute and Viterbi Family Department of Ophthalmology.
Bobby S KornUC San Diego Division of Oculofacial Plastic and Reconstructive Surgery, Shiley Eye Institute and Viterbi Family Department of Ophthalmology.
Don O KikkawaUC San Diego Division of Oculofacial Plastic and Reconstructive Surgery, Shiley Eye Institute and Viterbi Family Department of Ophthalmology.
Fleet Science Center · USUniversity of California, San Diego · US

Funding

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 Derek Stuart Welsbie · 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
NCRR NIH HHS UL1 RR031980NEI NIH HHS P30 EY022589NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

purposeDespite increasing electronic health record (EHR) adoption, perceptions of EHRs are negative among ophthalmologists due to concerns about productivity, costs, and documentation. The authors evaluated the effects of EHR adoption in an oculoplastics practice, which had not been previously studied.

methodsClinical volume, documentation time, time spent with patients, reimbursement, relative value units, and patient satisfaction were examined for 2 academic oculoplastics attendings between April 2018 and April 2019, with EHR implementation in September 2018.

resultsThe mean number of patients seen in a half-day clinic was 31.8 versus 27.7 (p = 0.018) pre- and post-EHR implementation, respectively. EHR implementation had no effect on total monthly reimbursement (p = 0.88) or total monthly relative value units (p = 0.54). Average reimbursement (p = 0.004) and relative value units (p = 0.001) per patient encounter were significantly greater with EHR use. Patient satisfaction scores improved (p = 0.018). Mean physician time per patient increased from 6.4 to 9.0 minutes (p < 0.001). Mean documentation time per patient increased from 1.7 to 3.6 minutes (p < 0.001). Average patient wait times decreased by 9 minutes (p = 0.03) with EHR use. No scribes were used.

conclusionsEHR implementation was associated with decreased patient volume without significant differences in total reimbursement. Although EHR adoption was associated with increased physician time devoted to patients and greater time expenditure on documentation, patients experienced decreased wait times. This suggests that EHR use streamlined the overall clinic flow without sacrificing physicians' time with the patient. The author's findings suggest that EHR implementation can be accomplished in an academic oculoplastics setting without negative impact on patient experience or reimbursement considerations.

Indexed as

Electronic Health RecordsOphthalmologistsDocumentationHumansPatient Satisfaction

Identifiers

PMID31809488
PMCPMC7210068
OpenAlexW4230269902

What OpenQuestion holds

Textmetadata
LicenceTDM
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.