Medical centers location and specialists’ allocation: a healthcare planning case study

Almeida, João Flávio de Freitas; Pinto, Luiz Ricardo; Conceição, Samuel Vieira; Campos, Francisco Carlos Cardoso de

doi:10.1590/0103-6513.20190006

Cited by 3 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Delivery of consists of low-cost prevention strategies aimed to reach a large portion of the population. (22) The growing number of studies investigating health care facility location gave rise to important collaborations between professionals to tackle this question. (22,23) The wide array of constraining factors accounted for in the evaluation of methods based on p-median optimization demonstrates the flexibility of the model, which has also been emphasized in other research areas.…”

Section: ❚ Discussionmentioning

confidence: 99%

“…(22) The growing number of studies investigating health care facility location gave rise to important collaborations between professionals to tackle this question. (22,23) The wide array of constraining factors accounted for in the evaluation of methods based on p-median optimization demonstrates the flexibility of the model, which has also been emphasized in other research areas. (24,25) Simulation running time was around 2 hours and 20 minutes on a standard notebook and considering a significant amount of locations.…”

Section: ❚ Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of decentralization in health systems in the state of São Paulo, Brazil

Uehara¹,

Rosa²,

Moraes³

et al. 2021

Einstein (São Paulo)

View full text Add to dashboard Cite

Section: ❚ Discussionmentioning

confidence: 99%

Section: ❚ Discussionmentioning

confidence: 99%

Impacts of decentralization in health systems in the state of São Paulo, Brazil

Uehara¹,

Rosa²,

Moraes³

et al. 2021

Einstein (São Paulo)

View full text Add to dashboard Cite

“…While a cost-based method has been approached 32 , the main goal of this study is different, which is to minimize the displacement of patients to physicians, setting location medical specialties centers. Once patients and physicians' goal are satisfied, we optimize the allocation of equipment, therefore, equipment acquisition does not guide patients and physician's displacement.…”

Section: Methodsmentioning

confidence: 99%

A two-step planning method to increase accessibility to medium complexity procedures for public secondary healthcare

Almeida

Campos

2021

Ciênc. saúde coletiva

Self Cite

View full text Add to dashboard Cite

The specialized care level of the public Brazilian national health system is critical and chronically underfunded. Few studies have evaluated public secondary care planning on a strategic level, so there are open issues yet to examine. This study aims at locating medical centers and sizing equipment based on a two-step optimization process to meet the population’s needs. The models consider physicians’ propensity for working on a metropolis and the patients’ choice on moving the least from their municipalities, therefore, conflicting decisions. The models provide the location of medical centers, the assignment of equipment to such locations, and the additional hours of specialists required to meet official standards of demand. Available equipment with idle capacity should partly satisfy the requirement for exams within the current infrastructure. For the remaining uncovered demand, the second step of the optimization model suggests the acquisition of additional equipment for the elected medical centers to meet established needs. The proposed location of secondary care facilities covers 834 municipalities, corresponding to 97.77% of the estate, with an average patient displacement of 58.73 km (CI95%: 56.18 km - 61.28 km). In general, 39 out of 77 health regions should hire additional hours of medical specialties. Pediatrics and gynecology represent the major gap.

show abstract

“…[ 35 ], the brain segmentation studies conducted in 2019 indicate a predominant use of MRI over CT. In Brazil, there are approximately 15.6 CT machines per million inhabitants, with MRI machines generally having higher maintenance and depreciation costs [ 36 , 37 ]. As a result, the widespread availability and rapid imaging acquisition of CT scans justify their frequent use, especially in emergency cases such as stroke, where prompt diagnosis is crucial for effective treatment.…”

Section: Introductionmentioning

confidence: 99%

Unsupervised model for structure segmentation applied to brain computed tomography

dos Santos,

Scoczynski Ribeiro Martins,

Amorim Nogueira

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

This article presents an unsupervised method for segmenting brain computed tomography scans. The proposed methodology involves image feature extraction and application of similarity and continuity constraints to generate segmentation maps of the anatomical head structures. Specifically designed for real-world datasets, this approach applies a spatial continuity scoring function tailored to the desired number of structures. The primary objective is to assist medical experts in diagnosis by identifying regions with specific abnormalities. Results indicate a simplified and accessible solution, reducing computational effort, training time, and financial costs. Moreover, the method presents potential for expediting the interpretation of abnormal scans, thereby impacting clinical practice. This proposed approach might serve as a practical tool for segmenting brain computed tomography scans, and make a significant contribution to the analysis of medical images in both research and clinical settings.

show abstract

Medical centers location and specialists’ allocation: a healthcare planning case study

Cited by 3 publications

References 26 publications

Impacts of decentralization in health systems in the state of São Paulo, Brazil

Impacts of decentralization in health systems in the state of São Paulo, Brazil

A two-step planning method to increase accessibility to medium complexity procedures for public secondary healthcare

Unsupervised model for structure segmentation applied to brain computed tomography

Contact Info

Product

Resources

About