ArticleScientific reports2024
Design of a smart medical service quality evaluation system based on a hybrid multi-criteria decision model.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Expert narrative review on the impact of value-based healthcare on medical quality and patient safety system restructuring.BMC health services research · 2026Pooled it
- A frequency-spatial dual perception network for efficient and accurate medical image segmentation.Scientific reports · 2026Article
- An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.Scientific reports · 2025Article
- Predictive optimization using long short-term memory for solar PV and EV integration in relatively cold climate energy systems with a regional case study.Scientific reports · 2025Article
- Flood vulnerability assessment in the Ili River Basin based on the comprehensive symmetric Kullback-Leibler distance.Scientific reports · 2025Article
- Sustainable service quality assessment of Chinese healthcare e-government: a multi-criteria decision framework based on SERVQUAL model and entropy-weight TOPSIS method.Frontiers in digital health · 2025Article
- The spatial spillover effects of digital transformation on healthcare services quality.Digital healthArticle
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2 authors.
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Abstract
As medical informatization continues to progress, the sophistication of smart medicine (SM) systems has led to a marked enhancement in the caliber of medical services provided. Nevertheless, the existing body of literature is sparse when it comes to frameworks for evaluating service quality, specifically within the domain of smart medicine (SM). Drawing on a hybrid multi-criteria decision-making model that fuses the best-worst method (BWM) with the VIKOR approach, this research has crafted an innovative framework for assessing the service quality of SM. BWM was used to obtain the weights of all dimensions and indicators under each dimension. Then, the service quality of hospitals H1, H2 and H3 in Xiamen was evaluated using the VIKOR method. The results showed that smart appointments, diagnosis and treatment are three important dimensions to evaluate SM service quality in medical institutions. The stability and robustness of the model were proved through sensitivity analysis. Findings suggest that hospitals can strengthen the construction of their appointment information platforms, the quality management of internal doctors, and the information connection between self-service terminals and information platforms to improve hospital service quality in the construction of smart medicine.
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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.