Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions. - Carri W. Chan; Vivek F. Farias; Nicholas Bambos; Gabriel J. Escobar (Oper. Res., 2012)

Automated identification of pneumonia in chest radiograph reports in critically ill patients. - Vincent X. Liu; Mark P. Clark; Mark Mendoza; Ramin Saket; Marla N. Gardner; Benjamin J. Turk; Gabriel J. Escobar (BMC Medical Informatics Decis. Mak., 2013)

Predictive Analytics in Healthcare (HPA): Considerations and Challenges. - Suchi Saria; Gabriel J. Escobar; Paul C. Tang; Lucila Ohno-Machado; Alex Dummett (AMIA, 2014)

When to Use Speedup: An Examination of Service Systems with Returns. - Carri W. Chan; Galit B. Yom-Tov; Gabriel J. Escobar (Oper. Res., 2014)

ICU Admission Control: An Empirical Study of Capacity Allocation and Its Implication for Patient Outcomes. - Song-Hee Kim; Carri W. Chan; Marcelo Olivares; Gabriel J. Escobar (Manag. Sci., 2015)

Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU. - Patricia Kipnis; Benjamin J. Turk; David A. Wulf; Juan Carlos LaGuardia; Vincent X. Liu; Matthew M. Churpek; Santiago Romero-Brufau; Gabriel J. Escobar (J. Biomed. Informatics, 2016)

A novel propensity modeling approach to estimate the causal impact of acute organ dysfunction on long-term survival in sepsis. - Alejandro Schuler; David A. Wulf; Yun Lu; Jennifer M. Baker; Gabriel J. Escobar; Nigam Shah; Vincent X. Liu (CRI, 2017)

The Impact of Delays on Service Times in the Intensive Care Unit. - Carri W. Chan; Vivek F. Farias; Gabriel J. Escobar (Manag. Sci., 2017)

An Examination of Early Transfers to the ICU Based on a Physiologic Risk Score. - Wenqi Hu; Carri W. Chan; José R. Zubizarreta; Gabriel J. Escobar (Manuf. Serv. Oper. Manag., 2018)

Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning. - Alison E. Fohner; John D. Greene; Brian L. Lawson; Jonathan H. Chen; Patricia Kipnis; Gabriel J. Escobar; Vincent X. Liu (J. Am. Medical Informatics Assoc., 2019)

Assessing the Impact of Service Level When Customer Needs Are Uncertain: An Empirical Investigation of Hospital Step-Down Units. - Carri W. Chan; Linda V. Green; Suparerk Lekwijit; Lijian Lu; Gabriel J. Escobar (Manag. Sci., 2019)

Ralph Gomory Best Industry Studies Paper Award (2018). - Wenqi Hu; Carri W. Chan; José R. Zubizarreta; Gabriel J. Escobar (Manuf. Serv. Oper. Manag., 2019)

Operationally-Informed Hospital-Wide Discharge Prediction Using Machine Learning. - Andrew Ward; Ariana J. Mann; Jacqueline Vallon; Gabriel J. Escobar; Nicholas Bambos; Alejandro Schuler (HealthCom, 2020)

Robust Policies For Proactive ICU Transfers. - Julien Grand-Clément; Carri W. Chan; Vineet Goyal; Gabriel J. Escobar (CoRR, 2020)

Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design. - Ben J. Marafino; Alejandro Schuler; Vincent X. Liu; Art B. Owen; Gabriel J. Escobar; Michael T. M. Baiocchi (AMIA, 2021)

Exploratory analysis of novel electronic health record variables for quantification of healthcare delivery strain, prediction of mortality, and prediction of imminent discharge. - Catherine Lee; Brian L. Lawson; Ariana J. Mann; Vincent X. Liu; Laura C. Myers; Alejandro Schuler; Gabriel J. Escobar (J. Am. Medical Informatics Assoc., 2022)

Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR. - Emily B. Brant; Jason N. Kennedy; Andrew J. King; Lawrence Gerstley; Pranita Mishra; David Schlessinger; James Shalaby; Gabriel J. Escobar; Derek C. Angus; Christopher W. Seymour; Vincent X. Liu (npj Digit. Medicine, 2022)

Robustness of Proactive Intensive Care Unit Transfer Policies. - Julien Grand-Clément; Carri W. Chan; Vineet Goyal; Gabriel J. Escobar (Oper. Res., 2023)

Prediction of 1 and 2 week nonelective hospitalization and sepsis hospitalization risk in adults. - Vincent X. Liu; Gabriel J. Escobar; Liam D. O'Suilleabhain; Khanh K. Thai; David Schlessinger; Laura C. Myers; John D. Greene; Fernando Barreda; Lawrence Gerstley; Patricia Kipnis (npj Digit. Medicine, 2025)