Evidence map›Paper›PMID 42527487›Full record

Articlenpj health systems2024

Implementing epic fast pass for echocardiogram and endoscopy to improve healthcare access and utilization.

Andrew L L Yin, Andrew M Feigelman, Yahaira Delgado, Robert J Min, Adam D Cheriff, J Travis Gossey, Richard Trepp, Ashley Beecy

Abstract read
In one paragraph

Article in npj health systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Andrew L L YinWeill Cornell Medicine, New York, NY, USA. aly27@cornell.edu.
Andrew M FeigelmanWeill Cornell Medicine, New York, NY, USA.
Yahaira DelgadoWeill Cornell Medicine, New York, NY, USA.
Robert J MinWeill Cornell Medicine, New York, NY, USA.
Adam D CheriffWeill Cornell Medicine, New York, NY, USA.
J Travis GosseyWeill Cornell Medicine, New York, NY, USA.
Richard TreppNewYork-Presbyterian, New York, NY, USA.
Ashley BeecyWeill Cornell Medicine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access and efficient resource utilization remain critical challenges in healthcare, often leading to long wait times despite unfilled outpatient appointments. Epic Fast Pass (EFP), an innovative feature within the Electronic Health Record (EHR), has improved outpatient appointment scheduling, reduced wait times, and enhanced access in routine appointments. Guided by the principles of a learning health system, we describe the novel application of EFP to imaging and procedural services, specifically outpatient echocardiograms and endoscopies. We collected user data over 15 months for echocardiograms and 4 months for endoscopies. For echocardiograms, 41.26% of patients accepted an offer, improving their appointment times by an average of 12.8 days. For endoscopies, 48.35% accepted, with an average improvement of 50.43 days. Our results demonstrate that rescheduling tools for outpatient imaging and procedural appointments are both feasible and promising, with the potential to enhance patient access and optimize resource utilization.

Identifiers

PMID42527487
PMCPMC13354202

What OpenQuestion holds

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LicenceCC BY
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.