Evidence map›Paper›PMID 42504764›Full record

ArticleThe International journal of health planning and management2026

Streamlining Hospital Planning: A User-Friendly Decision Support Tool for Enhanced Healthcare Delivery.

Eren Demir

Abstract read
In one paragraph

Article in The International journal of health planning and management, 2026. 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

1 author.

Eren DemirHertfordshire Business School, University of Hertfordshire, Hatfield, UK.ORCID https://orcid.org/0000-0002-9087-7169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare providers worldwide face challenges in maintaining a delicate balance between rising demand and limited resources. Decision-makers often struggle with planning and implementing new services, leading to costly consequences and hindering efficiency, patient outcomes, and staff well-being. Current systems lack a comprehensive modelling approach that encompasses all aspects of the hospital and fails to generate crucial outputs. Moreover, these tools often require expert modelers, limiting their usability for end users such as service managers, clinicians, and management. To address this gap, a user-friendly decision support tool (DST) is developed that empowers key decision-makers to assess the impact of interventions across all hospital operations. Our DST utilises a discrete event simulation model, encompassing specialties and interconnections among hospital services. The model incorporates a dataset of 360 input parameters and statistical distributions, providing a holistic understanding of operations. Through scenarios from 2023-2027, our DST generated diverse outputs, including activity levels, bed and clinic requirements, theatre utilization, and financial implications. Notably, implementing a virtual ward reduced patient backlogs and eased strain on resources from 113% to 80%. Our adaptable DST enables informed decision-making, enhancing patient outcomes and optimising resource utilization. This user-friendly tool revitalises hospital operations for improved efficiency and effectiveness.

Indexed as

Decision Support TechniquesDelivery of Health CareHospital PlanningEfficiency, OrganizationalHumansdecision support tooldiscrete event simulationhospital capacityhospital planning

Identifiers

PMID42504764
PMCPMC13551513

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.