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Publications Medical Informatics Research
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Full listing

Google Scholar Research

The full list of publications can be viewed on Google Scholar,  NCBI Bibliography, and PubMed Library. HealthRex Lab's research has been published in several esteemed journals, including but not limited to the New England Journal of Medicine, Journal of the American Medical Informatics Association, and BMJ Quality & Safety.

Publications and Journals

Selected Publications

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

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AMIA Summits on Translational Science Proceedings, 2023

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

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Journal of Biomedical Informatics, 2023

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

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Clinical Biochemistry, 2023

Targeting repetitive laboratory testing with electronic health records-embedded predictive decision support: A pre-implementation study

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Journal of the American Medical Informatics Association, 2023

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

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The American Journal of the Medical Sciences, 2023

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

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JAMA Internal Medicine, 2023

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

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JAMA Internal Medicine, 2023

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

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

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JAMA, 2022

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

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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

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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 on Science Direct, 2022

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

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The Lancet, 2022

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

JAMIA, 2021

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

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JAMIA, 2021

Machine learning for initial insulin estimation in hospitalized patients

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JAMIA, 2021

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

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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

 

JAMIA, 2020

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

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Annals of Internal Medicine, 2020

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

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JAMIA Open, 2020

ClinicNet: machine learning for personalized clinical order set recommendations

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The American Journal of Bioethics, 2020

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

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AMIA Summits on Translational Science Proceedings, 2019

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

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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

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AMIA Summits on Translational Science Proceedings, 2019

Neural Networks for Clinical Order Decision Support

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JAMA Network Open, 2019

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests

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BMJ Quality & Safety, 2019

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

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Journal of Biomedical Informatics, 2018

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

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Intern Med, 2018

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

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Journal of the American Medical Informatics Association, 2018

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

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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

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JAMA Intern Med., 2016

Distribution of Opioids by Different Types of Medicare Prescribers

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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]

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Med. Informatics Association, 2015

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

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