Evidence map›Paper›PMID 30631863›Full record

ArticleAnaesthesia and anaesthetics2018

Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency.

Cindy Yeoh, Jennifer Mascarenhas, Kay See Tan, Luis Tollinche

Open access · diamondAbstract read
In one paragraph

Article in Anaesthesia and anaesthetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 1 country.

Cindy YeohDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, USA.
Jennifer MascarenhasDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, USA.
Kay See TanDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, USA.
Luis TollincheDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, USA.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectiveTo evaluate the effects of health information technology systems integration on perioperative efficiency by investigating if automated notifications of patient arrival to the operating room leads to decreased time to induction by anesthesiologists.

methodsWe performed a retrospective chart review of all outpatient and short-stay patients who received General Anesthesia at our institution between July 1, 2017 and June 30, 2018.Time was used as a measure of efficiency between the two comparison groups.The two comparison groups were as follows:Group 1: Pre-event notification implementation (July 1, 2017-Dec 31, 2017)Group 2: Post-event notification implementation (Jan 1, 2018 - June 30, 2018)In this study, our primary outcome measure duration (DUR) was collected from patient electronic medical records:DUR: Time (duration in minutes) between anesthesia start and induction of anesthesia, exclusively for first case of the day.

resultsDuration of induction was significantly shorter post-event notification implementation compared to pre-event implementation (median duration, 6 min vs 7 min;

conclusionWe demonstrate that health information technology systems integration improves perioperative efficiency of anesthesiologists at our institution. Further investigation is warranted to provide data to support provider buy-in and greater uptake and implementation of these systems to enhance patient care and coordination in the healthcare setting.

Identifiers

PMID30631863
PMCPMC6324569
OpenAlexW2944101762

What OpenQuestion holds

Textmetadata
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.