5 papers
Designing a quasi-experiment to study the clinical impact of adaptive risk prediction models
Valerie Odeh-Couvertier, Gabriel Zayas-Caban, Brian Patterson +1
Clinical risk prediction is a valuable tool for guiding healthcare interventions toward those most likely to benefit. Yet, evaluating the pairing of a risk prediction model with an…
Unveiling Bias in Sequential Decision Making: A Causal Inference Approach for Stochastic Service Systems
Juan C. David Gomez, Amy L. Cochran, Gabriel Zayas-Caban
In many stochastic service systems, decision-makers find themselves making a sequence of decisions, with the number of decisions being unpredictable. To enhance these decisions, it…
Average Response Curves for Treatment Time in the Emergency Department
Sebastian A. Alvarez Avendaño, Amy L. Cochran, Keith E. Kocher +2
We estimate average responses curves for treatment time in the Emergency Department (ED). Extending treatment time is considered a promising solution for improving admission decisi…
Optimizing Patient Transitions to Skilled Nursing Facilities
Oguzhan Alagoz, Sebastian A. Alvarez Avendaño, John Oruongo +1
Hospital inpatient care costs is the largest component of health care expenditures in the US. At the same time, the number of non-hospital rehabilitative settings, such as skilled…
Evaluation of a Split Flow Model for the Emergency Department
Juan Camilo David Gomez, Amy L. Cochran, Brian W. Patterson +1
Split flow models, in which a physician rather than a nurse performs triage, are increasingly being used in hospital emergency departments (EDs) to improve patient flow. Before dec…