Evidence map›Paper›PMID 31406965›Full record

ArticleEC anaesthesia2019

Real Time Locating Systems and sustainability of Perioperative Efficiency of Anesthesiologists.

Cindy B Yeoh, Christian Van Rooyen, Kay See Tan, Jennifer Mascarenhas, Gloria Yang, Marina Kerpelev, Luis E Tollinche

Open access · greenAbstract read
In one paragraph

Article in EC anaesthesia, 2019. 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, top 75% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

7 authors at 1 institution in 1 country.

Cindy B YeohDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center; New York NY, USA.
Christian Van RooyenDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center; New York NY, USA.
Kay See TanDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York NY, USA.
Jennifer MascarenhasDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center; New York NY, USA.
Gloria YangDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center; New York NY, USA.
Marina KerpelevDepartment of Information Systems, Memorial Sloan Kettering Cancer Center, New York NY, USA.
Luis E TollincheDepartment of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center; New York NY, 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

objectiveWe determine if Real Time Locating Systems (RTLS) paired with automated notifications have a sustained effect on perioperative efficiency in anesthesiologists over a one-year period from the time of implementation.

methodsA retrospective chart review of all outpatient and short-stay patients, who received general anesthesia at our ambulatory surgery center between July 1st, 2017 and December 31st, 2018 was performed. Patients included were over 18 years of age who presented for non-urgent cases with ASA classification of 1, 2, and 3. Additionally, only first cases of the day for individual anesthesiologists were included.Time was used as a measure of efficiency between three comparison groups: Anesthesiologists who use RTLS prior to implementation of automated notification pairing for the period of 1 July 2017 to 31 December 2017.Anesthesiologists who use RTLS paired with automated notifications for the period of 1 January 2018 to 30 June 2018.Anesthesiologists who use RTLS paired with automated notifications for the period of 1 July 2018 to 31 December 2018.The primary outcome measure duration (DUR) was collected from patient electronic records.DUR was defined as duration of time, in minutes, from patient arrival to the Operating Room (OR) and initiation of induction by the anesthesiologist (exclusively for first cases of the day).

resultsDuring the initial six months, DUR between time of OR admission and time of induction was significantly reduced to 6.0 minutes (5.0,8.0) post-implementation of automated notification pairing with RTLS. DUR then returned to pre-intervention baseline of 7.0 minutes (5.0, 9.0) during the subsequent six-month study period.

conclusionInitial results indicate that implementation of integrated RTLS technology enabled anesthesiologists at our institution to be more efficient during the perioperative period. However, this perceived benefit was not sustained over a 1-year period as our measure of efficiency DUR ultimately returned to the pre-intervention baseline.

Indexed as

AnesthesiologistsOperating Room (OR)Real Time Locating Systems (RTLS)

Identifiers

PMID31406965
PMCPMC6690616
OpenAlexW2989768599

What OpenQuestion holds

Textmetadata
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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.