Evidence map›Paper›PMID 32078101›Full record

ArticleJournal of medical systems2020

Using Real-Time Locating Systems to Optimize Endoscope Use at a Large Academic Medical Center.

Jason C Troutner, Matthew V Harrell, Mark T Seelen, Bethany J Daily, Wilton C Levine

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Article in Journal of medical systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
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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

5 authors.

Jason C TroutnerPerioperative Services, Massachusetts General Hospital, White 400, Boston, MA, 02114, USA.
Matthew V HarrellPerioperative Services, Massachusetts General Hospital, White 400, Boston, MA, 02114, USA.
Mark T SeelenPerioperative Services, Massachusetts General Hospital, White 400, Boston, MA, 02114, USA. mseelen@mgh.harvard.edu.ORCID https://orcid.org/0000-0002-0701-4953
Bethany J DailyPerioperative Services, Massachusetts General Hospital, White 400, Boston, MA, 02114, USA.
Wilton C LevinePerioperative Services, Massachusetts General Hospital, White 400, Boston, MA, 02114, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massachusetts General Hospital (MGH) manages a large inventory of surgical equipment which must be delivered to operating rooms on-time, efficiently, and according to a set of quality standards and regulatory guidelines. In recent years, flexible scope management has become a topic of interest for many hospitals, as they face pressure to reduce costs, prevent infections that can result from mismanagement, and are under increased regulatory oversight. This work conducted at MGH proposes a novel method for surgical equipment management in a hospital. The proposed solution uses a real-time locating system to track flexible scopes, a semantic reasoning engine to determine the state of each scope, and a user interface to inform staff about necessary interventions to avoid scope expirations while maximizing efficiency. This study aimed to accomplish three primary goals. First, the study sought to improve the hospital's compliance to quality standards in order to reduce risks of infection due to expired scopes. Second, the study aimed to improve the cost-efficiency of scope disinfecting processes through more efficient inventory management. Finally, the study served as an opportunity for the hospital to establish best practices for working with the newly installed real-time locating system. The system proposed in this work was implemented at MGH on a subset of the hospital's flexible scopes. The study results demonstrated a quality compliance increase from 88.9% to 94.5%. The study also showed an estimated $17,350 annual cost savings due to more efficient scope management. Finally, the study demonstrated the feasibility, increase in regulatory compliance, and cost savings that would make this technology valuable when scaled across the hospital to other types of scopes and medical devices.

Indexed as

Computer SystemsEndoscopesAcademic Medical CentersCosts and Cost AnalysisCross InfectionDisinfectionEfficiency, OrganizationalGuideline AdherenceHumansOperating RoomsPractice Guidelines as TopicQuality ImprovementTime FactorsHigh-level disinfection (HLD)Instrument trackingReal-time location system (RTLS)ReprocessingSterile processing

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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.