Flávio S. Fogliatto
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Machine learning for high-risk hospitalization prediction in outpatient individuals with diabetes at a tertiary hospital Open
The proposed model demonstrated high predictive capability and may help to identify patients with diabetes who should be more closely monitored to reduce their risk of hospitalization.
Contribution of lean production to the resilience of the Brazilian automotive supply chain Open
We propose a method to assess companies’ ability to cope with different types of disruptive events by developing resilience capabilities through Lean Production (LP) implementation. We use direct and reverse mathematical operations with tw…
Conceptualization of a functional random walker for the analysis of socio-technical systems Open
The Functional Resonance Analysis Method (FRAM) has been pointed out by several prior studies as an effective approach for modeling socio-technical systems. Despite previous contributions, FRAM still suffers from limited tractability in ca…
Enhancing emergency department patient arrival forecasting: a study using feature engineering and advanced machine learning algorithms Open
Background Emergency department (ED) overcrowding is an important problem in many countries. Accurate predictions of patient arrivals in EDs can serve as a management baseline for better allocation of staff and medical resources. In this a…
Predicting the length-of-stay of pediatric patients using machine learning algorithms Open
The management of hospitals’ resource capacity has a strong impact on the quality of care, and the length-of-stay (LOS) of patients is an indicator that reflects its efficiency and effectiveness. This study aims at predicting the LOS of pe…
Modeling help chains in health services as social networks: moving from linearity to complexity Open
Help Chain (HC) is a problem-solving practice underpinned by lean manufacturing principles and also adopted for health services, which have different complexity characteristics in relation to manufacturing. This study is based on the premi…
Effect of Industry 4.0 on the relationship between socio-technical practices and workers' performance Open
Purpose This paper aims to examine the moderating effect of Industry 4.0 (I4.0) technologies on the relationship between socio-technical (ST) practices and workers' health, quality and productivity performance. Design/methodology/approach …
Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review Open
Despite the increasing utilization of lean practices and digital technologies (DTs) related to Industry 4.0, the impact of such dual interventions on healthcare services remains unclear. This study aims to assess the effects of those inter…
Master Surgical Schedule Planning to Reduce Variability in Post-Operative Ward Bed Demand Open
Peaks in patients’ demand for inward hospitalization usually lead to disruptions in the provision of healthcare, having negative effects on patient and staff satisfaction. The two main sources of ward bed demand are the emergency departmen…
View article: The impact of Industry 4.0 on the relationship between TPM and maintenance performance
The impact of Industry 4.0 on the relationship between TPM and maintenance performance Open
Purpose In this paper, the authors examine the impact of Industry 4.0 (I4.0) technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance. Design/methodology/approach Data collection was…
View article: User‐centered requirement elicitation for the procurement of medical equipment used by different services and types of end‐users
User‐centered requirement elicitation for the procurement of medical equipment used by different services and types of end‐users Open
We propose a method to collect data on user requirements of medical equipment shared by different users and services, relate those requirements with the equipment's technical features, and rank the most important features to be considered …
Hospital Investment Decisions in Healthcare 4.0 Technologies: Scoping Review and Framework for Exploring Challenges, Trends, and Research Directions Open
Background Alternative approaches to analyzing and evaluating health care investments in state-of-the-art technologies are being increasingly discussed in the literature, especially with the advent of Healthcare 4.0 (H4.0) technologies or …
Forecasting the Length-of-Stay of Pediatric Patients in Hospitals: A Scoping Review Open
Background : Healthcare management faces complex challenges in allocating hospital resources and predicting patients' length-of-stay (LOS) is critical in effectively managing those resources. This work aims to identify approaches used to f…
Hospital Investment Decisions in Healthcare 4.0 Technologies: Scoping Review and Framework for Exploring Challenges, Trends, and Research Directions (Preprint) Open
BACKGROUND Alternative approaches to analyzing and evaluating health care investments in state-of-the-art technologies are being increasingly discussed in the literature, especially with the advent of Healthcare 4.0 (H4.0) technologies or …
Additional file 8 of Dynamic capacity allocation in a radiology service considering different types of patients, individual no-show probabilities, and overbooking Open
Additional file 8:. Solution presented by the model for the problem.
Approaches to the rationalization of surgical instrument trays: Scoping review and research agenda Open
Background Surgical Tray Rationalization (STR) consists of a systematic reduction in the quantity of surgical instruments to perform specific procedures without compromising patient safety, while reducing losses in the sterilization and as…
Development and Validation of a Predictive Model of Success in Bariatric Surgery Open
This success index allows prioritizing patients with the best indication for the procedure and could be incorporated in the public health system as a support tool in the decision-making process.
Measuring the effect of Healthcare 4.0 implementation on hospitals’ performance Open
In this study, we identify bundles of technologies and associated implementation barriers that could be viewed as part of Healthcare 4.0 (H4.0) and test their impact on performance improvement in a sample of hospitals. For that, we carried…
Modeling the No-Show of Patients to Exam Appointments of Computed Tomography Open
Background: No-shows of patients have negative impacts on healthcare systems, such as resources’ underutilization, efficiency loss, and cost increase. Predicting no-show is key to develop strategies that counteract its effects. In this pap…
Man vs. machine: Predicting hospital bed demand from an emergency department Open
Our data indicated that the system could predict patient admission or discharge states with 80% accuracy, which was similar the performance of novice and experienced physicians. These results suggested that the algorithm could operate as a…
Analysing the influence of organisational culture and leadership styles on the implementation of lean manufacturing Open
This paper aims at identifying the combination of organisational culture profiles and leadership styles that best support companies implementing lean manufacturing practices. For that, 225 leaders from manufacturing companies at various st…