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Systems Modeling and Optimization

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Malone researchers model and evaluate processes and systems related to healthcare. Working with clinicians, they aim to understand complex interactions between patients and caregivers, streamline hospital operations, enhance patient safety, and inform organizational strategies and policy-making.

Researchers

Narges Ahmidi

Adjunct Assistant Research Scientist

Yiqun Chen

Assistant Professor of Biostatistics and Computer Science

Martin Copenhaver

Assistant Professor of Emergency Medicine

Maqbool Dada

Professor of Operations Management and Business Analytics

Anton Dahbura

Executive Director, Johns Hopkins University Information Security Institute

Richard Day

Director, Precision Medicine Center of Excellence in Patient Safety and Quality, Armstrong Institute for Patient Safety

James “Jim” Fackler

Director of Safety, Quality, and Logistics, Johns Hopkins Pediatric Intensive Care Unit (PICU)

Kimia Ghobadi

John C. Malone Assistant Professor of Civil and Systems Engineering

Ayse P. Gurses

Director, Armstrong Institute Center for Health Care Human Factors

Jeremiah Hinson

Associate Professor of Emergency Medicine

Ananya Joshi

Assistant Professor of Psychiatry and Behavioral Sciences and Computer Science

Scott Levin

Associate Professor, Department of Emergency Medicine

Diego A. Martínez

Assistant Professor, Department of Emergency Medicine

Kathryn McDonald

Bloomberg Distinguished Professor of Health Systems, Quality, and Safety

Rajat Mittal

Professor, Department of Mechanical Engineering

Phillip Phan

Alonzo and Virginia Decker Professor, Johns Hopkins Carey Business School

Nirmish Singla

Associate Professor of Urology and Oncology

Aly T. Strauss

Assistant Professor of Medicine, Division of Gastroenterology and Hepatology

Related Projects

AHQR Patient Safety Lab

Funded by a $2.45 million grant from the Agency for Healthcare Research and Quality (AHRQ), the Connected Emergency Care (CEC) Patient Safety Learning Lab at Johns Hopkins will use systems engineering methods to reduce health and financial harm for ED patients, with an initial focus on patients with lower respiratory...

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Automation of Drive-Thru Testing for COVID-19

Improving automated drive-thru COVID-19 testing without exposing medical personnel​.

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Emergency Medicine COVID-19 Modeling and Data Analytics

Data-driven tools and modeling to support Emergency Department (ED) physician disposition decision-making for PUI/COVID patients. 

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Operational Optimization during COVID-19

Utilizing optimization and data analytics to find the best resources allocation (clinical staff, ventilators, PPE, etc.) among different hospitals.

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Optimizing Radiation Therapy Treatment Plans

The goal of this project is to design radiation treatment plans that deliver a high enough radiation dose to the tumors that eradicate cancer cells, but still spares healthy tissue as much as possible....

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Towards Enhancing Mobility in Geriatric Patients Prior to Surgery

Older patients are highly susceptible to the extreme physiological stresses of major surgery and the harmful effects of post-surgical bed rest. Preliminary studies show that physical conditioning prior to surgery, often called prehabilitation, can provide significant benefit to patients including reduced complications, shorter recoveries, and lower costs. However, results have...

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