Santiago Romero-Brufau

22 papers B 1Misc 5Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text.
CoRR
Jiageng Wu, Bowen Gu, Ren Zhou, Kevin Xie, Douglas Snyder, Yixing Jiang, Valentina Carducci, Richard Wyss, Rishi J. Desai, Emily Alsentzer, Leo Anthony Celi, Adam Rodman, Sebastian Schneeweiss, Jonathan H. Chen, Santiago Romero-Brufau, Kueiyu Joshua Lin, Jie Yang
2025 J jnl
RadOnc-GPT: An Autonomous LLM Agent for Real-Time Patient Outcomes Labeling at Scale.
CoRR
Jason Holmes, Yuexing Hao, Mariana Borras-Osorio, Federico Mastroleo, Santiago Romero-Brufau, Valentina Carducci, Katie M. Van Abel, David M. Routman, Andrew Y. K. Foong, Liv M. Muller, Satomi Shiraishi, Daniel K. Ebner, Daniel J. Ma, Sameer R. Keole, Samir H. Patel, Mirek Fatyga, Martin Bues, Brad J. Stish, Yolanda I Garces, Michelle A Neben Wittich, Robert L. Foote, Sujay A. Vora, Nadia N. Laack, Mark R. Waddle, Wei Liu
2024 J jnl
An operational guide to translational clinical machine learning in academic medical centers.
npj Digit. Medicine
Mukund Poddar, Jayson S. Marwaha, William Yuan, Santiago Romero-Brufau, Gabriel A. Brat
2023 B conf
Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug Repurposing.
CBMS
Belén Otero-Carrasco, Santiago Romero-Brufau, Andrea Álvarez Pérez, Adrián Ayuso Muñoz, Lucía Prieto Santamaría, Juan Pedro Caraça-Valente Hernández, Alejandro Rodríguez González
2022 J jnl
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index.
J. Am. Medical Informatics Assoc.
Young J. Juhn, Euijung Ryu, Chung-Il Wi, Katherine S. King, Momin M. Malik, Santiago Romero-Brufau, Chunhua Weng, Sunghwan Sohn, Richard R. Sharp, John D. Halamka
2022 J jnl
Blockchain for Electronic Vaccine Certificates: More Cons Than Pros?
Frontiers Big Data
Raphaëlle Toubiana, Millie Macdonald, Sivananda Rajananda, Tale Lokvenec, Thomas C. Kingsley, Santiago Romero-Brufau
2022 Misc conf
Long-term accuracy of a hybrid model to automate triage for patients with dizziness.
AMIA
Santiago Romero-Brufau, Adam Goulson, Gayla Poling, Devin McCaslin, Scott Eggers, Colin Driscoll, Kalyan S. Pasupathy, Jeffrey Staab
2022 J jnl
Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model.
Decis. Anal.
Erik T. Rosenstrom, Sareh Meshkinfam, Julie Simmons Ivy, Shadi Hassani Goodarzi, Muge Capan, Jeanne Huddleston, Santiago Romero-Brufau
2021 Misc conf
DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions.
WSC
Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley
2021 J jnl
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks.
CoRR
Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar
2021 J jnl
Practical development and operationalization of a 12-hour hospital census prediction algorithm.
J. Am. Medical Informatics Assoc.
Alexander J. Ryu, Santiago Romero-Brufau, Narges Shahraki, Jiawei Zhang, Ray Qian, Thomas C. Kingsley
2021 J jnl
Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS).
J. Am. Medical Informatics Assoc.
Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston
2021 J jnl
Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study.
J. Am. Medical Informatics Assoc.
Kexin Huang, Tamryn F. Gray, Santiago Romero-Brufau, James A. Tulsky, Charlotta Lindvall
2020 J jnl
A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support.
Int. J. Medical Informatics
Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke
2020 J jnl
Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.
Appl. Clin. Inform.
Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke
2020 J jnl
What's in a name? A comparison of attitudes towards artificial intelligence (AI) versus augmented human intelligence (AHI).
BMC Medical Informatics Decis. Mak.
Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke
2019 J jnl
The value of missing information in severity of illness score development.
J. Biomed. Informatics
Joseph Agor, Osman Y. Özaltin, Julie S. Ivy, Muge Capan, Ryan Arnold, Santiago Romero-Brufau
2018 Misc conf
Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics.
AMIA
Santiago Romero-Brufau, Petro M. Kostandy, Kayse Maass Lee, Phichet Wutthisirisart, Mustafa Y. Sir, Brian J. Bartholmai, Mickael Stuve, Kalyan S. Pasupathy
2018 Misc conf
The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further.
AMIA
Santiago Romero-Brufau, Kim Gaines, Matthew G. Johnson, Joel Hickman, Terry M. Therneau, Jeanne Huddleston
2018 Misc conf
Use of an early warning system with gradual alerting reduces time to therapy in acute inpatient deterioration.
AMIA
Santiago Romero-Brufau, Jordan Kautz, Kim Gaines, Curt Storlie, Matthew G. Johnson, Joel Hickman, Jeanne Huddleston
2016 J jnl
Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU.
J. Biomed. Informatics
Patricia Kipnis, Benjamin J. Turk, David A. Wulf, Juan Carlos LaGuardia, Vincent X. Liu, Matthew M. Churpek, Santiago Romero-Brufau, Gabriel J. Escobar
2014 — conf
Clinical Decision Making: A Framework for Predicting Rx Response.
ICDM Workshops
Aarti Sathyanarayana, Jyotishman Pathak, Rozalina G. McCoy, Santiago Romero-Brufau, Maryam Panaziahar, Jaideep Srivastava