Risk Factors Analysis of Surgical Infection Using Artificial Intelligence: A Single Center Study

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(16), P. 10021 - 10021

Published: Aug. 14, 2022

Background: Surgical site infections (SSIs) have a major role in the evolution of medical care. Despite centuries progress, management surgical infection remains pressing concern. Nowadays, SSIs continue to be an important factor able increase hospitalization duration, cost, and risk death, fact, are leading cause morbidity mortality modern health Methods: A study based on statistical test logistic regression for unveiling association between different factors was carried out. Successively, predictive analysis basis performed. Results: The obtained data demonstrated that level surgery contamination impacts significantly rate. In addition, also reveals length postoperative hospital stay increases rate infections. Finally, stay, department antibiotic prophylaxis with 2 or more antibiotics significant predictor development infection. Conclusions: report type there statistically SSIs. Moreover, KNN model better handle imbalanced dataset (48 infected 3983 healthy), observing highest accuracy value.

Language: Английский

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Lean Six Sigma to reduce the acute myocardial infarction mortality rate: a single center study

The TQM Journal, Journal Year: 2023, Volume and Issue: 35(9), P. 25 - 41

Published: Jan. 17, 2023

Purpose Cardiovascular diseases are the leading cause of death worldwide. In Italy, acute myocardial infarction (AMI) is a major hospitalization and healthcare costs. AMI necrosis event caused by an unstable ischemic syndrome. The Italian government has defined indicator called “AMI: 30-day mortality” to assess quality overall care pathway heart attacked patient. order guarantee high standards, all hospitals had implement techniques increase pathway. aim paper identify root understand mortality rate for redesign patient management process in improve it. Design/methodology/approach A Lean Six Sigma (LSS) approach was used this study analyze flow reduce 30-days from registered Complex Operative Unit (COU) Cardiology hospital. Value stream mapping (VSM) Ishikawa diagrams were implemented as tools analysis. Findings Process improvement using LSS methodology made it possible times 115 minutes 75 minutes, with reduction 35%. addition, corrective actions such activation post-discharge outpatient clinic telephone contacts allowed be lowered 16% before project 8% after project. way, limit value set reached. Research limitations/implications limitation that single-centered applied facility limited number cases. Practical implications brought significant benefits managing patients AMI. Corrective effective shared protocol or interview checklist can become gold standard reducing mortality. Originality/value LSS, first time cardiovascular which proved strategic process. simple solutions could serve guide other pursue national target.

Language: Английский

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Lean Six Sigma and quality performance in Italian public and private hospitals: a gender perspective

International Journal of Quality & Reliability Management, Journal Year: 2023, Volume and Issue: 41(3), P. 964 - 989

Published: Oct. 3, 2023

Purpose Lean Six Sigma in public and private healthcare organisations has received considerable attention over the last decade. Nevertheless, such process improvement methodologies are not generalizable, their effective implementation relies on contextual variables. The purpose of this study is to explore readiness Italian hospitals for Quality Performance Improvement (LSS&QPI), with a focus gender differences. Design/methodology/approach A survey comprising 441 professionals from was conducted. Multivariate analysis variance used determine mean scores LSS&QPI dimensions based hospital type, interaction. Findings results showed that professional more aware quality performance initiatives than professionals. Moreover, differences emerged according type hospital, higher awareness men women hospitals, whereas opposite true. Research limitations/implications This contributes literature by focusing holistic assessment implementation. Practical implications informs managers about revolution within organisations, especially ones. Healthcare should spend time understanding as strategic orientation promote “lean hospital”, improving processes fostering patient-centredness. Originality/value preliminary focussing analysing inter-relationship between perceived importance soft factors dynamics missing jigsaw current literature. In addition, research advances LSS&QPI, which sets it apart studies single have been documented date.

Language: Английский

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The Impact of Artificial Intelligence and Blockchain on Six Sigma: A Systematic Literature Review of the Evidence and Implications

IEEE Transactions on Engineering Management, Journal Year: 2024, Volume and Issue: 71, P. 10261 - 10294

Published: Jan. 1, 2024

The dramatic development of technology in recent years has affected most organizations and companies. Artificial intelligence (AI) Blockchain can be mentioned as the important technologies that are developing rapidly. In Industry 4.0, complex data produced high volume, which makes implementing improvement projects with traditional methods lose their effectiveness. Six Sigma is one prominent companies use to identify solve problems. Therefore, for need develop toolbox felt. AI suitable tools improving 4.0. A systematic review identified 58 articles this article presented solutions integrating or Sigma. Some have evaluated performance proposed method by models. widely used machine learning deep algorithms been identified. Also, approaches mostly analysis articles. Decision tree artificial neural networks define–measure–analyze–improve–control (DMAIC) projects. reviewing articles, it was found mainly efficient DMAIC Design models implement article, 28 main gaps future works research.

Language: Английский

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Combining simulation models and machine learning in healthcare management: strategies and applications

Progress in Biomedical Engineering, Journal Year: 2024, Volume and Issue: 6(2), P. 022001 - 022001

Published: Jan. 24, 2024

Abstract Simulation models and artificial intelligence (AI) are largely used to address healthcare biomedical engineering problems. Both approaches showed promising results in the analysis optimization of processes. Therefore, combination simulation AI could provide a strategy further boost quality health services. In this work, systematic review studies applying hybrid approach management challenges was carried out. Scopus, Web Science, PubMed databases were screened by independent reviewers. The main strategies combine as well major application scenarios identified discussed. Moreover, tools algorithms implement proposed described. Results that machine learning appears be most employed with models, which mainly rely on agent-based discrete-event systems. scarcity heterogeneity included suggested standardized framework learning-simulation is yet defined. Future efforts should aim use these design novel intelligent in-silico processes effective translation clinics.

Language: Английский

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The liaison between performance, strategic knowledge management, and lean six sigma. Insights from healthcare organizations

Knowledge Management Research & Practice, Journal Year: 2023, Volume and Issue: 22(3), P. 314 - 326

Published: May 30, 2023

ABSTRACTKnowledge Management is a cornerstone to assisting health organisations in staying competitive and providing high-quality services today's constantly evolving scenario. Lean Six Sigma (LSS) approaches help improve their Quality Performance (QP) by employing more efficient, streamlined, accurate patient-centric processes. Nonetheless, if these methods are implemented address single issue rather than as part of an organisational strategy, they likely be ineffective wasteful. As result its focus on human resources, Strategic Knowledge (SKM) might serve standpoint ensuring LSS success well achieving consistent improvement QP. Therefore, this study investigates the efficacy QP methodologies through systematic information sharing at level.KEYWORDS: ManagementOrganizational performanceQuality performanceLean six sigmaLean organizationsOrganizational drivers Disclosure statementNo potential conflict interest was reported authors.

Language: Английский

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Implementation of Lean Management Tools Using an Example of Analysis of Prolonged Stays of Patients in a Multi-Specialist Hospital in Poland

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(2), P. 1067 - 1067

Published: Jan. 7, 2023

Healthcare institutions in Poland constantly encounter challenges related both to the quality of provided services and pressures associated with treatment effectiveness economic efficiency. The implemented solutions have a goal improving service lowering continuously increasing operational costs. aim this paper is present application Lean Management (LM) tools Polish hospital, which allowed for identification prolonged stays as one main issues affecting costs deteriorating financial results hospital. study was conducted neurology department involved an analysis data whole 2019 first half 2022. In addition, surveys were among medical staff help identify causes stays. Methods feasible developed order improve efficiency unit. shows that LM may contribute improvement functioning hospitals further studies should focus on development method evaluate intended at shortening hospital patients.

Language: Английский

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The influence of adverse events on inpatient outcomes in a tertiary hospital using a diagnosis-related group database

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 5, 2024

Adverse events (AEs) are a significant concern for healthcare systems. However, it is difficult to evaluate their influence because of the complexity various medical services. This study aimed assess AEs on outcomes hospitalized patients using diagnosis-related group (DRG) database. We conducted case–control at multi-district tertiary hospital with 2200 beds in China, data from DRG An AE refers an unintended physical injury caused or contributed by care that requires additional hospitalization, monitoring, treatment, even death. Relative weight (RW), specific indicator DRG, was used measure difficulty diagnosis and disease severity, resources utilized. The primary were length stay (LOS) hospitalization costs. secondary outcome discharge home. applied DRG-based matching, Hodges–Lehmann estimate, regression analysis, subgroup analysis outcomes. Two sensitivity analyses excluding short LOS changing adjustment factors performed robustness results. identified 2690 who had been divided into 329 DRGs, including 1345 experienced (case group) DRG-matched normal controls. estimate generalized linear showed led prolonged (unadjusted difference, 7 days, 95% confidence interval [CI] 6–8 days; adjusted 8.31 CI 7.16–9.52 days) excess costs $2186.40, CI: $1836.87-$2559.16; $2822.67, $2351.25-$3334.88). Logistic associated lower odds home ratio [OR] 0.66, 0.54–0.82; OR 0.75, 0.61–0.93). results each largely consistent. increased significantly after complex diseases (RW ≥ 2) relation high degrees harm subgroups (moderate above groups). Similar obtained analyses. burden AEs, especially those related severe harm, China. database serves as valuable source information can be utilized evaluation management AEs.

Language: Английский

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Assessing Lean Six Sigma and quality performance improvement in Italian public healthcare organizations: a validated scale

The TQM Journal, Journal Year: 2024, Volume and Issue: 36(9), P. 392 - 412

Published: Aug. 8, 2024

Purpose This study aims to fully assess the readiness for Lean Six Sigma (LSS) and Quality Performance Improvement (QPI) in an Italian Public Healthcare ecosystem. Design/methodology/approach Drawing from previously established survey development adaptation protocols, a replication was carried out; Lean, QPI were extracted validated through confirmatory factor analysis setting, with sample of health professionals Campania region. Findings reports existing scale measuring LSS public healthcare organisation. extracts six conceptual domains constitutes original adopt Health Organizations. The constructs show strong levels internal consistency, as demonstrated by each item loading subscale reliability. Practical implications Managers, policymakers academics can employ proposed tool ecosystem’s capability implement initiatives strategies improve quality performance. Originality/value is one first studies cross-regional organisational environment at this scope level.

Language: Английский

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Predictive Six Sigma for Turkish manufacturers: utilization of machine learning tools in DMAIC

International Journal of Lean Six Sigma, Journal Year: 2022, Volume and Issue: 14(3), P. 630 - 652

Published: Nov. 8, 2022

Purpose This study aims to emphasize utilization of Predictive Six Sigma achieve process improvements based on machine learning (ML) techniques embedded in define, measure, analyze, improve, control (DMAIC). With this aim, presents selection and ML techniques, including multiple linear regression (MLR), artificial neural network (ANN), random forests (RF), gradient boosting machines (GBM) k-nearest neighbors (k-NN) the analyze improve phases DMAIC. Design/methodology/approach A data set containing 320 observations with nine input one output variables is used. To objective which was decrease number fabric defects, five were compared terms prediction performance best tools selected. Next, most important causes defects determined via these tools. Finally, parameter optimization conducted for minimum defects. Findings Among tools, ANN, GBM RF are found be predictors. Out potential causes, “machine speed” “fabric width” as by using Then, optimum values defect minimization both response optimizer ANN surface optimization. Ultimately, average decreased from 13/roll 3/roll, a considerable attained through Sigma. Originality/value Addressing an gap literature, study, certain (i.e. MLR, RF, k-NN) ones possessing performances used

Language: Английский

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