Santiago Romero-Brufau

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Outcome Prediction

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

BMC Medical Informatics Decis. Mak.

Publications

Mukund Poddar, Jayson S. Marwaha, William Yuan, Santiago Romero-Brufau, Gabriel A. Brat
An operational guide to translational clinical machine learning in academic medical centers. npj Digit. Medicine 7 (1) (2024)
Belén Otero-Carrasco, Santiago Romero-Brufau, Andrea Álvarez Pérez, Adrián Ayuso Muñoz, Lucía Prieto Santamaría, Juan Pedro Caraça-Valente Hernández, Alejandro Rodríguez González
Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug Repurposing. CBMS (2023)
Santiago Romero-Brufau, Adam Goulson, Gayla Poling, Devin McCaslin, Scott Eggers, Colin Driscoll, Kalyan S. Pasupathy, Jeffrey Staab
Long-term accuracy of a hybrid model to automate triage for patients with dizziness. AMIA (2022)
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
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J. Am. Medical Informatics Assoc. 29 (7) (2022)
Raphaëlle Toubiana, Millie Macdonald, Sivananda Rajananda, Tale Lokvenec, Thomas C. Kingsley, Santiago Romero-Brufau
Blockchain for Electronic Vaccine Certificates: More Cons Than Pros? Frontiers Big Data 5 (2022)
Erik T. Rosenstrom, Sareh Meshkinfam, Julie Simmons Ivy, Shadi Hassani Goodarzi, Muge Capan, Jeanne Huddleston, Santiago Romero-Brufau
Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model. Decis. Anal. 19 (4) (2022)
Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks. CoRR (2021)
Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley
DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. WSC (2021)
Alexander J. Ryu, Santiago Romero-Brufau, Narges Shahraki, Jiawei Zhang, Ray Qian, Thomas C. Kingsley
Practical development and operationalization of a 12-hour hospital census prediction algorithm. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Kexin Huang, Tamryn F. Gray, Santiago Romero-Brufau, James A. Tulsky, Charlotta Lindvall
Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study. J. Am. Medical Informatics Assoc. 28 (8) (2021)
Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston
Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS). J. Am. Medical Informatics Assoc. 28 (6) (2021)
Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke
What's in a name? A comparison of attitudes towards artificial intelligence (AI) versus augmented human intelligence (AHI). BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke
A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support. Int. J. Medical Informatics 137 (2020)
Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke
Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital. Appl. Clin. Inform. 11 (04) (2020)
Joseph Agor, Osman Y. Özaltin, Julie S. Ivy, Muge Capan, Ryan Arnold, Santiago Romero-Brufau
The value of missing information in severity of illness score development. J. Biomed. Informatics 97 (2019)
Santiago Romero-Brufau, Jordan Kautz, Kim Gaines, Curt Storlie, Matthew G. Johnson, Joel Hickman, Jeanne Huddleston
Use of an early warning system with gradual alerting reduces time to therapy in acute inpatient deterioration. AMIA (2018)
Santiago Romero-Brufau, Kim Gaines, Matthew G. Johnson, Joel Hickman, Terry M. Therneau, Jeanne Huddleston
The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further. AMIA (2018)
Santiago Romero-Brufau, Petro M. Kostandy, Kayse Maass Lee, Phichet Wutthisirisart, Mustafa Y. Sir, Brian J. Bartholmai, Mickael Stuve, Kalyan S. Pasupathy
Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics. AMIA (2018)
Patricia Kipnis, Benjamin J. Turk, David A. Wulf, Juan Carlos LaGuardia, Vincent Liu, Matthew M. Churpek, Santiago Romero-Brufau, Gabriel J. Escobar
Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU. J. Biomed. Informatics 64 (2016)
Aarti Sathyanarayana, Jyotishman Pathak, Rozalina G. McCoy, Santiago Romero-Brufau, Maryam Panaziahar, Jaideep Srivastava
Clinical Decision Making: A Framework for Predicting Rx Response. ICDM Workshops (2014)