Evidence map›Paper›PMID 21344201›Full record

ArticleHealth care management science2011

Using discrete event simulation to design a more efficient hospital pharmacy for outpatients.

Matthew Reynolds, Christos Vasilakis, Monsey McLeod, Nicholas Barber, Ann Mounsey, Sue Newton, Ann Jacklin, Bryony Dean Franklin

Abstract read
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In one paragraph

Article in Health care management science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.International journal of environmental research and public health · 2021
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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

8 authors.

Matthew ReynoldsCentre for Medication Safety and Service Quality, Imperial College Healthcare NHS Trust, London, UK.
Christos Vasilakis
Monsey McLeod
Nicholas Barber
Ann Mounsey
Sue Newton
Ann Jacklin
Bryony Dean Franklin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the findings of a discrete event simulation study of the hospital pharmacy outpatient dispensing systems at two London hospitals. Having created a model and established its face validity, we tested scenarios to estimate the likely impact of changes in prescription workload, staffing levels and skill-mix, and utilisation of the dispensaries' automatic dispensing robots. The scenarios were compared in terms of mean prescription turnaround times and percentage of prescriptions completed within 45 min. The findings are being used to support business cases for changes in staffing levels and skill-mix in response to changes in workload.

Indexed as

Efficiency, OrganizationalOutpatientsAutomationComputer SimulationHumansPersonnel Staffing and SchedulingPharmacy Service, HospitalWorkload

Identifiers

What OpenQuestion holds

Textmetadata
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.