Evidence map›Paper›PMID 40596068›Full record

ArticleScientific reports2025

A methodological design and an empirical study for assessing the maturity of an UASR based on the AHP-EWM and the FSEM fusion model.

Chong Guo, Bing Tang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Chong GuoThe Second Affiliated Hospital, University of South China, Hengyang City, 421001, PR China.
Bing TangThe Second Affiliated Hospital, University of South China, Hengyang City, 421001, PR China. tangbing19892024@163.com.

Funding

Natural Science Foundation of Hunan Province 2025JJ50024the National Innovation and Entrepreneurship Training Program for Undergraduates S202410555201
6 · The paper itself

Abstract

A multi-model fusion evaluation method based on indexes construction is discussed in this paper for evaluating the maturity level of an Uncertainty Analysis System for Radiotherapy (UASR). First, a system for evaluating the capability maturity of the UASR is established. Second, three first-level evaluation indicators for people, technology and process are constructed, and twelve second-level evaluation indicators are formed under the three first-level indicators. Next, by combining the Analytic Hierarchy Process (AHP) with the Entropy Weight Method (EWM), the subjectivity brought by the AHP is reduced, and the AHP-EWM model is combined with a Fuzzy Synthetic Evaluation Model (FSEM). The level of the maturity model is determined by both scoring mechanisms together, making the assessment more reliable than that produced when a single model is used. To assess the maturity of the target hospital, UASR maturity assessment software is designed, and the affiliated hospital of the University of South China is selected for a practical application. After the experts' scores are input into the UASR maturity assessment software, the calculated final score of 0.7848 confirms that the UASR reaches the management level, indicating a robust management framework and enhanced operational capacity. This research offers a practical methodology for optimizing the implementation of the UASR and guiding its iterative improvement.

Indexed as

Analytic hierarchy processCapability maturity modelFuzzy synthetic evaluation modelUncertainty analysis system for radiotherapy

Identifiers

PMID40596068
PMCPMC12214526

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