Reducing access times for an endoscopy department by an iterative combination of computer simulation and linear programming.

Health Care Manag Sci

Academic Medical Center, Department of Quality Assurance and Process Innovation, Room D01-319, P.O. Box 22660, 1100 DD Amsterdam, The Netherlands.

Published: March 2010

To reduce the access times of an endoscopy department, we developed an iterative combination of Discrete Event simulation and Integer Linear Programming. We developed the method in the Endoscopy Department of the Academic Medical Center in Amsterdam and compared different scenarios to reduce the access times for the department. The results show that by a more effective allocation of the current capacity, all procedure types will meet their corresponding performance targets in contrast to the current situation. This improvement can be accomplished without requiring additional equipment and staff. Currently, our recommendations are implemented.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2819657PMC
http://dx.doi.org/10.1007/s10729-009-9105-zDOI Listing

Publication Analysis

Top Keywords

access times
12
endoscopy department
12
times endoscopy
8
iterative combination
8
linear programming
8
reduce access
8
reducing access
4
department
4
department iterative
4
combination computer
4

Similar Publications

Objectives: Explore humanitarian healthcare professionals' (HCPs) perceptions about implementing children's palliative care and to identify their educational needs and challenges, including learning topics, training methods, and barriers to education.

Methods: Humanitarian HCPs were interviewed about perspectives on children's palliative care and preferences and needs for training. Interviews were transcribed, coded, and arranged into overarching themes.

View Article and Find Full Text PDF

Introduction: Cognitive symptoms are common in Parkinson's Disease (PD), and digital interventions like telerehabilitation other an accessible way to manage these symptoms. This study aimed to assess the effectiveness of a Home-Based Computerized Cognitive Training (HB-CCT) program in individuals with PD using a pilot randomized cross-over design.

Methods: Twenty-five participants (mean age 69.

View Article and Find Full Text PDF

Molecular characterization of tumors is essential to identify predictive biomarkers that inform treatment decisions and improve precision immunotherapy development and administration. However, challenges such as the heterogeneity of tumors and patient responses, limited efficacy of current biomarkers, and the predominant reliance on single-omics data, have hindered advances in accurately predicting treatment outcomes. Standard therapy generally applies a "one size fits all" approach, which not only provides ineffective or limited responses, but also an increased risk of off-target toxicities and acceleration of resistance mechanisms or adverse effects.

View Article and Find Full Text PDF

Detecting anomalies in smart wearables for hypertension: a deep learning mechanism.

Front Public Health

January 2025

Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.

Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).

View Article and Find Full Text PDF

Brachycephalic breeds suffer from respiratory distress known as brachycephalic obstructive airway syndrome (BOAS) and the multiple comorbidities associated with it. Targeted breeding toward a more BOAS-free phenotype requires accurate and least invasive detection of BOAS severity grades that are accessible and accepted by the breeders and kennel clubs. This study aimed to compare the-outcome of morphometric anatomical examination with functional tests such as exercise tests and plethysmography for the detection of BOAS severity in a group of 84 French Bulldogs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!