Jason Hom

According to our database, Jason Hom authored at least 23 papers between 2018 and 2026.

Collaborative distances:

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

2026

Deployment and Evaluation of an EHR-integrated, Large Language Model-Powered Tool to Triage Surgical Patients.

Jane Wang, Timothy Keyes, April S. Liang, Stephen P. Ma, Jason Shen, Jerry Liu, Nerissa Ambers, Abby Pandya, Rita Pandya, Jason Hom, Natasha Z. Steele, Jonathan H. Chen, Kevin Schulman

CoRR, March, 2026

MedArena: Comparing LLMs for Medicine-in-the-Wild Clinician Preferences.

Eric Wu, Kevin Wu, Jason Hom, Paul H. Yi, Angela Zhang, Alejandro Lozano, Jeffrey J. Nirschl, Jeff Tangney, Kevin Byram, Braydon Dymm, Narender Annapureddy, Eric Topol, David Ouyang, James Zou

CoRR, March, 2026

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis.

Adrit Rao, Malte E. K. Jensen, Andrea Fisher, Louis Blankemeier, Pauline Berens, Arash Fereydooni, Seth Lirette, Eren Alkan, Felipe C. Kitamura, Juan Manuel Zambrano Chaves, Eduardo Pontes Reis, Arjun D. Desai, Marc H. Willis, Jason Hom, Andrew Johnston, Leon Lenchik, Robert D. Boutin, Eduardo Moreno Júdice de Mattos Farina, Augusto Sarquis Serpa, Marcelo Straus Takahashi, Jordan Perchik, Steven Rothenberg, Jamie Lee Schroeder, Ross W. Filice, Leonardo Kayat Bittencourt, Hari Trivedi, Marly van Assen, John Mongan, Kimberly Kallianos, Oliver O. Aalami, Akshay S. Chaudhari

CoRR, February, 2026

2025

SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction.

April S. Liang, Fatemeh Amrollahi, Yixing Jiang, Conor K. Corbin, Grace Y. E. Kim, David Mui, Trevor Crowell, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Jack McKeown, Margaret Smith, Steven Lin, Arnold Milstein, Kevin Schulman, Jason Hom, Michael A. Pfeffer, Tho D. Pham, David Svec, Weihan Chu, Lisa Shieh, Christopher D. Sharp, Stephen P. Ma, Jonathan H. Chen

CoRR, December, 2025

First, do NOHARM: towards clinically safe large language models.

David Wu, Fateme Nateghi Haredasht, Saloni Kumar Maharaj, Priyank Jain, Jessica Tran, Matthew Gwiazdon, Arjun Rustagi, Jenelle A. Jindal, Jacob M. Koshy, Vinay Kadiyala, Anup Agarwal, Bassman Tappuni, Brianna French, Sirus Jesudasen, Christopher V. Cosgriff, Rebanta Chakraborty, Jillian Caldwell, Susan Ziolkowski, David J. Iberri, Robert Diep, Rahul S. Dalal, Kira L. Newman, Kristin Galetta, J. Carl Pallais, Nancy Wei, Kathleen M. Buchheit, David I. Hong, Ernest Y. Lee, Allen Shih, Vartan Pahalyants, Tamara B. Kaplan, Vishnu Ravi, Sarita Khemani, April S. Liang, Daniel Shirvani, Advait Patil, Nicholas Marshall, Kanav Chopra, Joel Koh, Adi Badhwar, Liam G. McCoy, David J. H. Wu, Yingjie Weng, Sumant Ranji, Kevin Schulman, Nigam H. Shah, Jason Hom, Arnold Milstein, Adam Rodman, Jonathan H. Chen, Ethan Goh

CoRR, December, 2025

MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries.

François Grolleau, Emily Alsentzer, Timothy Keyes, Philip Chung, Akshay Swaminathan, Asad Aali, Jason Hom, Tridu Huynh, Thomas Lew, April S. Liang, Weihan Chu, Natasha Z. Steele, Christina F. Lin, Jingkun Yang, Kameron C. Black, Stephen P. Ma, Fateme Nateghi Haredasht, Nigam H. Shah, Kevin Schulman, Jonathan H. Chen

CoRR, September, 2025

Expert-level validation of AI-generated medical text with scalable language models.

Asad Aali, Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi, Magdalini Paschali, Ashwin Kumar, Andrew Johnston, Karimar Amador-Martinez, Eduardo Juan Perez Guerrero, Paola Naovi Cruz Rivera, Sergios Gatidis, Christian Bluethgen, Eduardo Pontes Reis, Eddy D. Zandee van Rilland, Poonam Laxmappa Hosamani, Kevin R. Keet, Minjoung Go, Evelyn Bin Ling, David B. Larson, Curtis P. Langlotz, Roxana Daneshjou, Jason Hom, Sanmi Koyejo, Emily Alsentzer, Akshay S. Chaudhari

CoRR, July, 2025

A typology of physician input approaches to using AI chatbots for clinical decision-making.

Rachel Siden, Hannah Kerman, Robert Gallo, Joséphine A. Cool, Jason Hom, Ethan Goh, Neera Ahuja, Paul Heidenreich, Lisa Shieh, Daniel Yang, Jonathan H. Chen, Adam Rodman, Laura M. Holdsworth

npj Digit. Medicine, 2025

A dataset and benchmark for hospital course summarization with adapted large language models.

Asad Aali, Dave Van Veen, Yamin Ishraq Arefeen, Jason Hom, Christian Bluethgen, Eduardo Pontes Reis, Sergios Gatidis, Namuun Clifford, Joseph Daws, Arash S. Tehrani, Jangwon Kim, Akshay S. Chaudhari

J. Am. Medical Informatics Assoc., 2025

2024

Superhuman performance of a large language model on the reasoning tasks of a physician.

Peter G. Brodeur, Thomas A. Buckley, Zahir Kanjee, Ethan Goh, Evelyn Bin Ling, Priyank Jain, Stephanie Cabral, Raja-Elie Abdulnour, Adrian Haimovich, Jason A. Freed, Andrew Olson, Daniel J. Morgan, Jason Hom, Robert Gallo, Eric Horvitz, Jonathan H. Chen, Arjun K. Manrai, Adam Rodman

CoRR, 2024

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!".

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis P. Langlotz, Jean-Benoit Delbrouck

CoRR, 2024

Detecting Underdiagnosed Medical Conditions with Deep Learning-Based Opportunistic CT Imaging.

Asad Aali, Andrew Johnston, Louis Blankemeier, Dave Van Veen, Laura T. Derry, David Svec, Jason Hom, Robert D. Boutin, Akshay S. Chaudhari

CoRR, 2024

Merlin: A Vision Language Foundation Model for 3D Computed Tomography.

Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari

CoRR, 2024

A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries.

Asad Aali, Dave Van Veen, Yamin Ishraq Arefeen, Jason Hom, Christian Bluethgen, Eduardo Pontes Reis, Sergios Gatidis, Namuun Clifford, Joseph Daws, Arash S. Tehrani, Jangwon Kim, Akshay S. Chaudhari

CoRR, 2024

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!".

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis P. Langlotz, Jean-Benoit Delbrouck

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.

Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, William Collins, Neera Ahuja, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, John M. Pauly, Akshay S. Chaudhari

CoRR, 2023

2022

Modifiable Inpatient Cost Variability at a Large Academic Medical Center.

Kush Gupta, Jason Hom, Ted Ross, Jonathan Masterson, Alexander Chin, Arnold Milstein, Jonathan H. Chen

Proceedings of the AMIA 2022, 2022

2021

Appyters: Turning Jupyter Notebooks into data-driven web apps.

Daniel J. B. Clarke, Minji Jeon, Daniel J. Stein, Nicole Moiseyev, Eryk Kropiwnicki, Charles Dai, Zhuorui Xie, Megan L. Wojciechowicz, Skylar Litz, Jason Hom, John Erol Evangelista, Lucas Goldman, Serena Zhang, Christine Yoon, Tahmid Ahamed, Samantha Bhuiyan, Minxuan Cheng, Julie Karam, Kathleen M. Jagodnik, Ingrid Shu, Alexander Lachmann, Sam Ayling, Sherry L. Jenkins, Avi Ma'ayan

Patterns, 2021

2020

The COVID-19 Drug and Gene Set Library.

Maxim V. Kuleshov, Daniel J. Stein, Daniel J. B. Clarke, Eryk Kropiwnicki, Kathleen M. Jagodnik, Alon Bartal, John Erol Evangelista, Jason Hom, Minxuan Cheng, Allison Bailey, Abigail Zhou, Laura B. Ferguson, Alexander Lachmann, Avi Ma'ayan

Patterns, 2020

OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases.

Andre Kumar, Rachael C. Aikens, Jason Hom, Lisa Shieh, Jonathan Chiang, David Morales, Divya Saini, Mark A. Musen, Michael T. M. Baiocchi, Russ B. Altman, Mary K. Goldstein, Steven M. Asch, Jonathan H. Chen

J. Am. Medical Informatics Assoc., 2020

2019

Thrombophilia testing in the inpatient setting: impact of an educational intervention.

Henry Kwang, Eric Mou, Ilana Richman, Andre Kumar, Caroline Berube, Rajani Kaimal, Neera Ahuja, Stephanie Harman, Tyler Johnson, Neil Shah, Ronald Witteles, Robert Harrington, Lisa Shieh, Jason Hom

BMC Medical Informatics Decis. Mak., 2019

2018

An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.

Jason K. Wang, Jason Hom, Santhosh Balasubramanian, Alejandro Schuler, Nigam H. Shah, Mary K. Goldstein, Michael T. M. Baiocchi, Jonathan H. Chen

J. Biomed. Informatics, 2018

Machine Learning Predictable Inpatient Lab Results for High-Value Care.

Santhosh Balasubramanian, Jason Hom, Shivaal Roy, Jonathan H. Chen

Proceedings of the AMIA 2018, 2018