Evidence map›Paper›PMID 36147553›Full record

ArticleHealth systems (Basingstoke, England)2022

A pull-strategy for the appointment scheduling of surgical patients in a hospital-integrated facility.

Safa Chabouh, Sondes Hammami, Eric Marcon, Hanen Bouchriha

Abstract read
In one paragraph

Article in Health systems (Basingstoke, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Safa ChabouhUniversité de Tunis El Manar, Ecole Nationale d'Ingénieurs de Tunis, LR11ES20 Laboratoire d'Analyse, de Conception et de Commande des Systèmes, 1002, Tunis, Tunisia.
Sondes HammamiUniversité de Tunis El Manar, Ecole Nationale d'Ingénieurs de Tunis, LR11ES20 Laboratoire d'Analyse, de Conception et de Commande des Systèmes, 1002, Tunis, Tunisia.
Eric MarconUniversité De Lyon INSA-LYON, Université Jean Monnet Saint-Etienne, DISP, EA 4570, Villeurbanne, France.
Hanen BouchrihaUniversité de Tunis El Manar, Ecole Nationale d'Ingénieurs de Tunis, LR11ES20 Laboratoire d'Analyse, de Conception et de Commande des Systèmes, 1002, Tunis, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper addresses the daily appointment scheduling (AS) of patients in a hospital-integrated facility where outpatients and inpatients are treated simultaneously and share critical resources. We propose a lean approach based on the pull-strategy "Constant Work in Process" (ConWIP) to develop robust and easy-to-implement AS rules. Our objective is to reduce patients' waiting time and maximise the use rate of resources while considering the global surgical process and stochastic service times. The AS rules based on ConWIP are evaluated using a Discrete-Event-Simulation model. Numerical experiments based on a real-life case study are carried out to assess the proposed appointment rules' performance and compare them to AS rules developed in the literature. The results highlight the robustness of our approach and demonstrate its usefulness in practice.

Indexed as

appointment schedulingconstant-work-in-process (ConWIP)discrete-event simulationhospital-integrated facilityOperations management in healthcare

Identifiers

PMID36147553
PMCPMC9487978

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.