PUBLICATIONS | HealthRex Lab

Publications Medical Informatics Research

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The full list of publications can be viewed on Google Scholar, NCBI Bibliography, and PubMed Library.

Selected Publications

JAMA Internal Medicine, 2023

How Chatbots and Large Language Model Artificial Intelligence Systems Will Reshape Modern Medicine: Fountain of Creativity or Pandora’s Box?

JAMA Internal Medicine, 2023

Chatbot vs medical student performance on free-response clinical reasoning examinations

Addiction, 2023

The ChatGPT therapist will see you now: Navigating generative artificial intelligence's potential in addiction medicine research and patient care

Journal of the American Medical Informatics Association, 2023

DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record

AMIA Summits on Translational Science Proceedings, 2023

Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection

Journal of Biomedical Informatics, 2023

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning

Journal of the American Medical Informatics Association, 2023

Team is brain: leveraging EHR audit log data for new insights into acute care processes

The American Journal of the Medical Sciences, 2023

What medicine can learn from game-playing artificial intelligence: The 1 in 10,000 move

Health Science Reports, 2023

Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease

NPJ Digital Medicine, 2025

Optimizing large language models for detecting symptoms of depression/anxiety in chronic diseases patient communications

JAMIA, 2025

"Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features"

New England Journal of Medicine AI, 2025

MedAgentBench: A Virtual EHR Environment to Benchmark Medical LLM Agents

Journal of Biomedical Informatics, 2025

Monitoring strategies for continuous evaluation of deployed clinical prediction models

JAMA, 2025

Affiliation Bias in Peer Review of Abstracts

Nature Medicine Journal, 2025

GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial

NPJ Digital Medicine, 2025

Clinical entity augmented retrieval for clinical information extraction

Nature Medicine Journal, 2025

Toward expert-level medical question answering with large language models

Journal of the American Medical Informatics Association, 2024

Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment

Journal of the American Medical Informatics Association, 2024

Establishing best practices in large language model research: an application to repeat prompting

NPJ Digital Medicine, 2024

Learning from the EHR to implement AI in healthcare

Journal of General Internal Medicine, 2024

Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine

JAMA Network Open, 2024

Large Language Model Influence on Diagnostic Reasoning

Nature Digital Medicine, 2024

Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine

JMIR Publications, 2022

A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral: Algorithm Development and Validation Using Electronic Health Record Data and Expert Surveys

Journal of Antimicrobial Chemotherapy, 2022

BSAC Vanguard Series: Artificial Intelligence and Antibiotic Stewardship

JAMA, 2022

Decoding Artificial Intelligence to Achieve Diagnostic Excellence: Learning From Experts, Examples, and Experience

Nature Communications Medicine, 2022

Personalized Antibiograms For Machine Learning Driven Antibiotic Selection

JAMA Network Open, 2022

Analysis of Specialty Nephrology Care Among Patients With Chronic Kidney Disease and High Risk of Disease Progression

Journal of American Medical Informatics Association, 2022

Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial

Journal of Biomedical Informatics, 2022

Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care

Clinical Biochemistry, 2022

Targeting Repetitive Laboratory Testing with Electronic Health Records-Embedded Predictive Decision Support: A Pre-Implementation Study

The Lancet, 2022

Responding To The Opioid Crisis In North America And Beyond: Recommendations Of The Stanford–Lancet Commission

Journal of the American Medical Informatics Association, 2021

Developing machine learning models to personalize care levels among emergency room patients for hospital admission

Journal of the American Medical Informatics Association, 2021

Machine learning for initial insulin estimation in hospitalized patients

JAMA, 2021

Next-Generation Artificial Intelligence for Diagnosis From Predicting Diagnostic Labels to “Wayfinding”

Yearbook of Medical Informatics, 2020

Clinical Decision Support and Implications for the Clinician Burnout Crisis

Annals of Internal Medicine, 2020

Inpatient Notes: Realizing the Promises of Hospital Electronic Order Sets

Journal of the American Medical Informatics Association, 2020

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

Annals of Internal Medicine, 2020

Research and Reporting Considerations for Observational Studies Using Electronic Health Record Data

Journal of the American Medical Informatics Association Open, 2020

ClinicNet: machine learning for personalized clinical order set recommendations

The American Journal of Bioethics, 2020

Planning for the Known Unknown: Machine Learning for Human Healthcare Systems

AMIA Summits on Translational Science Proceedings, 2019

A Machine Learning Approach to Predicting the Stability of Inpatient Lab Test Results

National Academy of Medicine, 2019

Potential Trade-Offs and Unintended Consequences of AI in Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril

AMIA Summits on Translational Science Proceedings, 2019

Neural Networks for Clinical Order Decision Support

JAMA Network Open, 2019

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests

BMJ Quality & Safety, 2019

When order sets do not align with clinician workflow: assessing practice patterns in the electronic health record

Journal of Biomedical Informatics, 2018

An Evaluation of Clinical Order Patterns Machine-Learned from Clinician Cohorts Stratified by Patient Mortality Outcomes

Intern Med, 2018

Acetaminophen or Tylenol? A Retrospective Analysis of Medication Digital Communication Practices

Journal of the American Medical Informatics Association, 2018

Impact of Problem-Based Charting on the Utilization and Accuracy of the Electronic Problem List

AMIA Summits on Translational Science Proceedings, 2018

Predicting Low Information Laboratory Diagnostic Tests

New England Journal of Medicine, 2017

Machine Learning and Prediction in Medicine – Beyond the Peak of Inflated Expectations

JAMA Intern Med., 2016

Distribution of Opioids by Different Types of Medicare Prescribers

JAMA Internal Medicine, 2016

Internal Medicine Resident Computer Usage: An Electronic Audit of an Inpatient Service

JAMA, 2016

The Patient You Least Want to See [A Piece of My Mind]

Med. Informatics Association, 2015

OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records

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