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The discrepancy between patient demand and the emergency departments (ED) capacity, that mainly depends on human resources and on beds available for patients, often lead to ED's overcrowding and to the increase in waiting time. In this…

Robotics · Computer Science 2020-11-30 Ibtissem Chouba , Lionel Amodeo , Farouk Yalaoui , Taha Arbaoui , David Laplanche

We considered observational data available from the MIMIC-III open-access ICU database and collected within a study period between year 2002 up to 2011. If a patient had multiple admissions to the ICU during the 30 days before death, only…

Computers and Society · Computer Science 2019-03-06 Daniele Ramazzotti , Peter Clardy , Leo Anthony Celi , David J. Stone , Robert S. Rudin

Readmissions among Medicare beneficiaries are a major problem for the US healthcare system from a perspective of both healthcare operations and patient caregiving outcomes. Our study analyzes Medicare hospital readmissions using LSTM…

Machine Learning · Computer Science 2024-10-24 Xintao Li , Sibei Liu , Dezhi Yu , Yang Zhang , Xiaoyu Liu

This paper addresses the problem of batching laboratory samples in hospital laboratories where samples of different priorities are received continuously with uncertain transportation times. The focus is on optimizing the control strategy…

Optimization and Control · Mathematics 2026-03-31 Antonin Novak , Andrzej Gnatowski , Premysl Sucha

There were 25.6 million attendances at Emergency Departments (EDs) in England in 2019 corresponding to an increase of 12 million attendances over the past ten years. The steadily rising demand at EDs creates a constant challenge to provide…

In the emergency department (ED), patients undergo triage and multiple laboratory tests before diagnosis. This time-consuming process causes ED crowding which impacts patient mortality, medical errors, staff burnout, etc. This work proposes…

Computation and Language · Computer Science 2024-05-29 Liwen Sun , Abhineet Agarwal , Aaron Kornblith , Bin Yu , Chenyan Xiong

Parallel processing is a principle which enables simultaneous implementation of anesthesia induction and operating room (OR) turnover with the aim of improving OR utilization. In this article, we study the problem of scheduling surgeries…

Optimization and Control · Mathematics 2022-01-03 Batuhan Celik , Serhat Gul , Melih Celik

We study estimation of causal effects in staggered rollout designs, i.e. settings where there is staggered treatment adoption and the timing of treatment is as-good-as randomly assigned. We derive the most efficient estimator in a class of…

Econometrics · Economics 2023-05-18 Jonathan Roth , Pedro H. C. Sant'Anna

The ability to accurately forecast and control inpatient census, and thereby workloads, is a critical and longstanding problem in hospital management. Majority of current literature focuses on optimal scheduling of inpatients, but largely…

Methodology · Statistics 2017-01-31 Chitta Ranjan , Kamran Paynabar , Jonathan E. Helm , Julian Pan

Sleep has been shown to be an indispensable and important component of patients recovery process. Nonetheless, sleep quality of patients in the Intensive Care Unit (ICU) is often low, due to factors such as noise, pain, and frequent nursing…

Quantitative Methods · Quantitative Biology 2020-10-14 Vasundhra Iyengar , Azra Bihorac , Parisa Rashidi

In this paper we present a new methodology to model patient transitions and length of stay in the emergency department using a series of conditional Coxian phase-type distributions, with covariates. We reformulate the Coxian models…

Applications · Statistics 2019-08-01 Jean Rizk , Kevin Burke , Cathal Walsh

We study a control problem for queueing systems where customers may return for additional episodes of service after their initial service completion. At each service completion epoch, the decision maker can choose to reduce the probability…

Systems and Control · Electrical Eng. & Systems 2024-06-12 Timothy C. Y. Chan , Simon Y. Huang , Vahid Sarhangian

Sepsis is a leading cause of death in the Intensive Care Units (ICU). Early detection of sepsis is critical for patient survival. In this paper, we propose a multimodal Transformer model for early sepsis prediction, using the physiological…

Machine Learning · Computer Science 2022-03-29 Yuqing Wang , Yun Zhao , Rachael Callcut , Linda Petzold

ICU readmission is associated with longer hospitalization, mortality and adverse outcomes. An early recognition of ICU re-admission can help prevent patients from worse situation and lower treatment cost. As the abundance of Electronics…

Machine Learning · Computer Science 2019-10-08 Zhiheng Li , Xinyue Xing , Bingzhang Lu , Zhixiang Li

A hospital readmission is when a patient who was discharged from the hospital is admitted again for the same or related care within a certain period. Hospital readmissions are a significant problem in the healthcare domain, as they lead to…

Machine Learning · Computer Science 2023-05-16 Eitam Sheetrit , Menachem Brief , Oren Elisha

Background: Despite the recent advances in computational fluid dynamics (CFD) techniques applied to blood flow within the left atrium (LA), the relationship between atrial geometry, flow patterns, and blood stasis within the left atrial…

Background: During the early stages of hospital admission, clinicians must use limited information to make diagnostic and treatment decisions as patient acuity evolves. However, it is common that the time series vital sign information from…

One major bottleneck in the ongoing COVID-19 pandemic is the limited number of critical care beds. Due to the dynamic development of infections and the time lag between when patients are infected and when a proportion of them enters an…

Populations and Evolution · Quantitative Biology 2020-07-28 Matthias Ritter , Derek V. M. Ott , Friedemann Paul , John-Dylan Haynes , Kerstin Ritter

Scheduling echocardiographic exams in a hospital presents significant challenges due to non-deterministic factors (e.g., patient no-shows, patient arrival times, diverse exam durations, etc.) and asymmetric resource constraints between…

Machine Learning · Computer Science 2025-06-10 Bozhi Sun , Seda Tierney , Jeffrey A. Feinstein , Frederick Damen , Alison L. Marsden , Daniele E. Schiavazzi

Hospital readmission has become a critical metric of quality and cost of healthcare. Medicare anticipates that nearly $17 billion is paid out on the 20% of patients who are readmitted within 30 days of discharge. Although several…

Applications · Statistics 2014-03-14 Issac Shams , Saeede Ajorlou , Kai Yang