Evidence map›Paper›PMID 31258976›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2019

An electronic notification system for improving patient flow in the emergency department.

Hojjat Salmasian, Adam B Landman, Charles Morris

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Hojjat SalmasianBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Adam B LandmanBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Charles MorrisBrigham and Women's Hospital and Harvard Medical School, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare providers make time-sensitive care decisions based on EHR data. As systems of record, the EHR is often not configured to optimally surface timely information. For patients awaiting admission, infection control concerns that potentially require private rooms can prolong stays in the Emergency Department. We aim to determine if an event-based notification platform connected with a commercial EHR can help prioritize timely information and improve patient flow in the emergency department. We undertook a pre-post analysis for patients being admitted from the emergency room who were tested for influenza. We used a primary outcome of mean time from negative test result to inpatient transfer. The median time decreased by 27%, from 4.1 hours to 3.0 hours. The distribution of transfer times pre and post-intervention were significantly different with a p-value of <0.001. Our findings support the use of event-based notification systems to improve patient flow in the emergency department.

Identifiers

PMID31258976
PMCPMC6568086

What OpenQuestion holds

Textmetadata
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Registered trials

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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.