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Effective hospital capacity management is pivotal for enhancing patient care quality, operational efficiency, and healthcare system resilience, notably during demand spikes like those seen in the COVID-19 pandemic. However, devising optimal…

Computers and Society · Computer Science 2024-04-01 Felix Parker , Fardin Ganjkhanloo , Diego A. Martínez , Kimia Ghobadi

When facing an extreme stressor, such as the COVID-19 pandemic, healthcare systems typically respond reactively by creating surge capacity at facilities that are at or approaching their baseline capacity. However, creating individual…

Optimization and Control · Mathematics 2020-11-09 Felix Parker , Hamilton Sawczuk , Fardin Ganjkhanloo , Farzin Ahmadi , Kimia Ghobadi

In the era of "information overload", effective information provision is essential for enabling rapid response and critical decision making. In making sense of diverse information sources, data dashboards have become an indispensable tool,…

Human-Computer Interaction · Computer Science 2022-03-01 Mengdie Zhuang , Dave Concannon , Ed Manley

Hospitals face challenges in long-term intensive care unit (ICU) capacity planning under uncertain demand. Admission rates fluctuate over time, and LOS distributions vary with patient heterogeneity, hospital location, case mix, and clinical…

The Project aims at improving the efficiency of hospitals and healthcare centres using Big Data Analytics to evaluate identified KPIs (Key Performance Indicators) of its various functions. The Dashboards designed using computer technology…

Computers and Society · Computer Science 2015-11-11 Prachi Kariya

The COVID-19 pandemic has placed immense strain on hospital systems worldwide, leading to critical capacity challenges. This research proposes a two-part framework to optimize hospital capacity through patient relocation strategies. The…

Artificial Intelligence · Computer Science 2026-03-18 Sadaf Tabatabaee , Hicham El Baz , Mohammed Khalil Ghali , Nagendra N. Nagarur

Clinical decision support tools rooted in machine learning and optimization can provide significant value to healthcare providers, including through better management of intensive care units. In particular, it is important that the patient…

Machine Learning · Computer Science 2021-12-20 Fernando Lejarza , Jacob Calvert , Misty M Attwood , Daniel Evans , Qingqing Mao

Motivated by the experiences of a healthcare service provider during the Covid-19 pandemic, we aim to study the decisions of a provider that operates both an Emergency Department (ED) and a medical Clinic. Patients contact the provider…

Computer Science and Game Theory · Computer Science 2022-07-12 Sanyukta Deshpande , Lavanya Marla , Alan Scheller-Wolf , Siddharth Prakash Singh

This article showcases a personal decision support tool (PDST) called HOPLITE, for performing insightful and actionable quantitative assessments of hospital capacity, to support hospital planners and health care managers. The tool is…

Human-Computer Interaction · Computer Science 2024-02-07 Robert L Burdett , Paul Corry , David Cook , Prasad Yarlagadda

Sustaining regular and infectious care during an infectious outbreak requires adequate management support for capacity allocation for regular and infectious patients. During the COVID-19 pandemic, hospitals faced severe challenges,…

Optimization and Control · Mathematics 2024-10-17 Stef Baas , Sander Dijkstra , Richard J. Boucherie , Anne Zander

Simulation models are valuable tools for resource usage estimation and capacity planning. In many situations, reliable data is not available. We introduce the BuB simulator, which requires only the specification of plausible intervals for…

Applications · Statistics 2020-09-08 Thomas Bartz-Beielstein , Eva Bartz , Frederik Rehbach , Olaf Mersmann

Cities are continuously evolving human settlements. Our cities are under strain in an increasingly urbanized world, and planners, decision-makers, and communities must be ready to adapt. Data is an important resource for municipal…

Computers and Society · Computer Science 2023-09-15 Md Aminul Islam , Md Abu Sufian

Estimating intervention effects in dynamical systems is crucial for outcome optimization. In medicine, such interventions arise in physiological regulation (e.g., cardiovascular system under fluid administration) and pharmacokinetics, among…

Machine Learning · Computer Science 2026-02-13 Tomer Meir , Ori Linial , Danny Eytan , Uri Shalit

Crises like the COVID-19 pandemic pose a serious challenge to health-care institutions. They need to plan the resources required for handling the increased load, for instance, hospital beds and ventilators. To support the resource planning…

Background/Objectives: Efficient task allocation in hospital emergency departments (EDs) is critical for operational efficiency and patient care quality, yet the complexity of staff coordination poses significant challenges. This study…

Human-Computer Interaction · Computer Science 2025-10-21 Zoi Lygizou , Dimitris Kalles

With the growth of data-driven services and expansion of mobile application usage, traditional methods of capacity and resource planning methods may not be efficient and often fall short in meeting rapid changes in the business landscape.…

Optimization and Control · Mathematics 2025-11-12 Xiaoyue Liu , Yujia Xu , Benoit Montreuil

The ongoing COVID-19 pandemic highlights the importance of dashboards for providing critical real-time information. In order to enable people to obtain information in time and to understand complex statistical data, many developers have…

Human-Computer Interaction · Computer Science 2022-06-02 Xinyan Li , Han Wang , Chunyang Chen , John Grundy

With the emerging COVID-19 crisis, a critical task for public health officials and policy makers is to decide how to prioritize, locate, and allocate scarce resources. To answer these questions, decision makers need to be able to determine…

For effective integration of building operations into the evolving demand response programs of the power grid, real-time decisions concerning the use of building appliances for grid services must excel on multiple criteria, ranging from the…

Systems and Control · Electrical Eng. & Systems 2021-03-23 Milan Jain , Soumya Kundu , Arnab Bhattacharya , Sen Huang , Vikas Chandan , Nikitha Radhakrishnan , Veronica Adetola , Draguna Vrabie

Supporting the interactive exploration of large datasets is a popular and challenging use case for data management systems. Traditionally, the interface and the back-end system are built and optimized separately, and interface design and…

Databases · Computer Science 2024-01-08 Junran Yang , Hyekang Kevin Joo , Sai Yerramreddy , Dominik Moritz , Leilani Battle
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