Evidence map›Paper›PMID 40218047›Full record

ArticleHealthcare (Basel, Switzerland)2025

A Scheduling Optimization Approach to Reduce Outpatient Waiting Times for Specialists.

Ana Moura, Micaela Pinho

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. 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
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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

2 authors.

Ana MouraDepartment of Economics, Management and Industrial Engineering and Tourism, University of Aveiro, Campo Universitário De Santiago, 3810-193 Aveiro, Portugal.ORCID 0000-0003-4687-2747
Micaela PinhoResearch on Economics, Management and Information Technologies, Portucalense University, R. Dr. António Bernardino de Almeida 541, 4200-072 Porto, Portugal.ORCID 0000-0003-2021-9141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesLong waiting times for outpatient care remain a global challenge for public health systems. In Portugal, the National Health Service (NHS) ensures universal access to medical treatment, aiming to promote equity in healthcare. However, persistent delays in outpatient speciality appointments hinder this objective.

methodsThis study proposes a prioritization-scheduling approach that integrates a mathematical model with a heuristic method to enhance accessibility in NHS hospitals. By optimizing the available capacity of hospitals within each geographic area, the model efficiently sequences patient appointments across different facilities, prioritizing those who have waited the longest. The approach was tested using simulated instances based on real NHS hospital data.

resultsResults indicate that the model effectively integrates hospital resources within a region and efficiently allocates specialist appointments, significantly reducing waiting times.

conclusionsThis research introduces a promising strategy that, when incorporated into a decision support system, can serve as a valuable tool for healthcare management.

Indexed as

healthcare serviceshybrid approacheslinear programmingoutpatients waiting timesprioritization-scheduling approach

Identifiers

PMID40218047
PMCPMC11988311

What OpenQuestion holds

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LicenceCC BY
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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.