Santiago Romero-Brufau

According to our database, Santiago Romero-Brufau authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An operational guide to translational clinical machine learning in academic medical centers.

Mukund Poddar, Jayson S. Marwaha, William Yuan, Santiago Romero-Brufau, Gabriel A. Brat

npj Digit. Medicine, 2024

2023

Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug Repurposing.

Belén Otero-Carrasco, Santiago Romero-Brufau, Andrea Álvarez Pérez, Adrián Ayuso Muñoz, Lucía Prieto Santamaría, Juan Pedro Caraça-Valente Hernández, Alejandro Rodríguez González

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model.

Erik T. Rosenstrom, Sareh Meshkinfam, Julie Simmons Ivy, Shadi Hassani Goodarzi, Muge Capan, Jeanne Huddleston, Santiago Romero-Brufau

Decis. Anal., December, 2022

Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index.

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

J. Am. Medical Informatics Assoc., 2022

Blockchain for Electronic Vaccine Certificates: More Cons Than Pros?

Raphaëlle Toubiana, Millie Macdonald, Sivananda Rajananda, Tale Lokvenec, Thomas C. Kingsley, Santiago Romero-Brufau

Frontiers Big Data, 2022

Long-term accuracy of a hybrid model to automate triage for patients with dizziness.

Santiago Romero-Brufau, Adam Goulson, Gayla Poling, Devin McCaslin, Scott Eggers, Colin Driscoll, Kalyan S. Pasupathy, Jeffrey Staab

Proceedings of the AMIA 2022, 2022

2021

Practical development and operationalization of a 12-hour hospital census prediction algorithm.

Alexander J. Ryu, Santiago Romero-Brufau, Narges Shahraki, Jiawei Zhang, Ray Qian, Thomas C. Kingsley

J. Am. Medical Informatics Assoc., 2021

Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS).

Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston

J. Am. Medical Informatics Assoc., 2021

Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study.

Kexin Huang, Tamryn F. Gray, Santiago Romero-Brufau, James A. Tulsky, Charlotta Lindvall

J. Am. Medical Informatics Assoc., 2021

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks.

Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar

CoRR, 2021

DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions.

Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley

Proceedings of the Winter Simulation Conference, 2021

2020

What's in a name? A comparison of attitudes towards artificial intelligence (AI) versus augmented human intelligence (AHI).

Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke

BMC Medical Informatics Decis. Mak., December, 2020

A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support.

Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke

Int. J. Medical Informatics, 2020

Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.

Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore, Cheristi Cognetta-Rieke

Appl. Clin. Inform., 2020

2019

The value of missing information in severity of illness score development.

Joseph Agor, Osman Y. Özaltin, Julie S. Ivy, Muge Capan, Ryan Arnold, Santiago Romero-Brufau

J. Biomed. Informatics, 2019

2018

Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics.

Santiago Romero-Brufau, Petro M. Kostandy, Kayse Maass Lee, Phichet Wutthisirisart, Mustafa Y. Sir, Brian J. Bartholmai, Mickael Stuve, Kalyan S. Pasupathy

Proceedings of the AMIA 2018, 2018

Use of an early warning system with gradual alerting reduces time to therapy in acute inpatient deterioration.

Santiago Romero-Brufau, Jordan Kautz, Kim Gaines, Curt Storlie, Matthew G. Johnson, Joel Hickman, Jeanne Huddleston

Proceedings of the AMIA 2018, 2018

The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further.

Santiago Romero-Brufau, Kim Gaines, Matthew G. Johnson, Joel Hickman, Terry M. Therneau, Jeanne Huddleston

Proceedings of the AMIA 2018, 2018

2016

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

2014

Clinical Decision Making: A Framework for Predicting Rx Response.

Aarti Sathyanarayana, Jyotishman Pathak, Rozalina G. McCoy, Santiago Romero-Brufau, Maryam Panaziahar, Jaideep Srivastava

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014