Shawn N. Murphy

Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

2013 · 81 Zit. · PLoS ONE

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data

2021 · 52 Zit. · Journal of the American Medical Informatics Association

Implications of Large Language Models for Quality and Efficiency of Neurologic Care

2024 · 44 Zit. · Neurology

sureLDA: A multidisease automated phenotyping method for the electronic health record

2020 · 40 Zit. · Journal of the American Medical Informatics Association

An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes

2022 · 33 Zit. · Journal of the American Medical Informatics Association

Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions

2024 · 32 Zit. · npj Digital Medicine

Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network

2019 · 32 Zit. · Journal of Biomedical Informatics

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

2023 · 22 Zit. · Scientific Reports

Grappling with the Future Use of Big Data for Translational Medicine and Clinical Care

2017 · 9 Zit. · Yearbook of Medical Informatics

Environment scan of generative AI infrastructure for clinical and translational science

2025 · 8 Zit. · npj Health Systems

Artificial intelligence in clinical data analysis: A review of large language models, foundation models, digital twins, and allergy applications

2025 · 7 Zit. · Allergology International

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions

2022 · 5 Zit. · BMC Medical Informatics and Decision Making

Accessible Research Commons for Health: Four Years Into the PCORnet Journey.

2018 · 0 Zit. · AMIA

The Digital Analytic Patient Reviewer (DAPR) for COVID-19 Data Mart Validation

2021 · 0 Zit. · medRxiv

Instrumenting the Health Care Enterprise for Discovery in the Course of Clinical Care

2017 · 0 Zit.