Jason Hom

According to our database, Jason Hom authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

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