Alison Callahan

Alison Callahan

Stanford University

H-index: 28

North America-United States

About Alison Callahan

Alison Callahan, With an exceptional h-index of 28 and a recent h-index of 24 (since 2020), a distinguished researcher at Stanford University, specializes in the field of electronic health records, clinical decision support, data mining, causal inference, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Nationwide Network of Health AI Assurance Laboratories

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation

APLUS: A Python library for usefulness simulations of machine learning models in healthcare

Lessons Learned from a Multi-Site, Team-Based Serious Illness Care Program Implementation at an Academic Medical Center

The Stanford Medicine data science ecosystem for clinical and translational research

Considerations in the reliability and fairness audits of predictive models for advance care planning

Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor: A Systematic Review

Alison Callahan Information

University

Position

___

Citations(all)

3596

Citations(since 2020)

2608

Cited By

1624

hIndex(all)

28

hIndex(since 2020)

24

i10Index(all)

41

i10Index(since 2020)

35

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Alison Callahan Skills & Research Interests

electronic health records

clinical decision support

data mining

causal inference

machine learning

Top articles of Alison Callahan

Title

Journal

Author(s)

Publication Date

A Nationwide Network of Health AI Assurance Laboratories

JAMA

Nigam H Shah

John D Halamka

Suchi Saria

Michael Pencina

Troy Tazbaz

...

2023/12

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

arXiv preprint arXiv:2308.14089

Scott L Fleming

Alejandro Lozano

William J Haberkorn

Jenelle A Jindal

Eduardo P Reis

...

2023/8/27

Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation

Journal of Biomedical Informatics

Yizhe Xu

Katelyn Bechler

Alison Callahan

Nigam Shah

2023/6/14

APLUS: A Python library for usefulness simulations of machine learning models in healthcare

Journal of Biomedical Informatics

Michael Wornow

Elsie Gyang Ross

Alison Callahan

Nigam H Shah

2023/3/1

Lessons Learned from a Multi-Site, Team-Based Serious Illness Care Program Implementation at an Academic Medical Center

Journal of Palliative Medicine

Briththa Seevaratnam

Samantha Wang

Rebecca Fong

Felicia Hui

Alison Callahan

...

2023/11/8

The Stanford Medicine data science ecosystem for clinical and translational research

JAMIA open

Alison Callahan

Euan Ashley

Somalee Datta

Priyamvada Desai

Todd A Ferris

...

2023/10/1

Considerations in the reliability and fairness audits of predictive models for advance care planning

Frontiers in Digital Health

Jonathan Lu

Amelia Sattler

Samantha Wang

Ali Raza Khaki

Alison Callahan

...

2022/9/12

Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor: A Systematic Review

Jonathan H Lu

Alison Callahan

Birju S Patel

Keith E Morse

Dev Dash

...

2022/8/1

Constructing a Pregnancy Loss Cohort From Electronic Health Records [A331]

Obstetrics & Gynecology

Alison Callahan

Stephanie Leonard

Maurice Druzin

Ruth B Lathi

Gayathree Murugappan

2022/5/1

Building a learning health system: creating an analytical workflow for evidence generation to inform institutional clinical care guidelines

Applied Clinical Informatics

Birju S Patel

Alison Callahan

Jose Posada

Gomathi Krishnan

William Collins

...

2022/1

Bigbio: a framework for data-centric biomedical natural language processing

Advances in Neural Information Processing Systems

Jason Fries

Leon Weber

Natasha Seelam

Gabriel Altay

Debajyoti Datta

...

2022/12/6

Constructing a cohort of nulliparous, term, singleton, vertex births from electronic health records

American Journal of Obstetrics & Gynecology

Alison Callahan

Gayathree Murugappan

Elliott K Main

Stephanie A Leonard

2022/1/1

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Teven Le Scao

Angela Fan

Christopher Akiki

Ellie Pavlick

Suzana Ilić

...

2023/11/20

Assessment of Extractability and Accuracy of Electronic Health Record Data for Joint Implant Registries

JAMA Network Open

Nicholas J Giori

John Radin

Alison Callahan

Jason A Fries

Eni Halilaj

...

2021/3/1

Using aggregate patient data at the bedside via an on-demand consultation service

NEJM Catalyst Innovations in Care Delivery

Alison Callahan

Saurabh Gombar

Eli M Cahan

Kenneth Jung

Ethan Steinberg

...

2021/9/15

Association of Systemic Diseases With Surgical Treatment for Obstructive Sleep Apnea Compared With Continuous Positive Airway Pressure

JAMA Otolaryngology–Head & Neck Surgery

Badr Ibrahim

Maria Isabel de Freitas Mendonca

Saurabh Gombar

Alison Callahan

Kenneth Jung

...

2021/1/21

Low adherence to existing model reporting guidelines by commonly used clinical prediction models

MedRXiv

Jonathan H Lu

Alison Callahan

Birju S Patel

Keith E Morse

Dev Dash

...

2021/7/23

ACE: the Advanced Cohort Engine for searching longitudinal patient records

Journal of the American Medical Informatics Association

Alison Callahan

Vladimir Polony

José D Posada

Juan M Banda

Saurabh Gombar

...

2021/7

Treatment and Monitoring Variability in US Metastatic Breast Cancer Care

JCO Clinical Cancer Informatics

Jennifer L Caswell-Jin

Alison Callahan

Natasha Purington

Summer S Han

Haruka Itakura

...

2021/5

Ontology-driven weak supervision for clinical entity classification in electronic health records

Nature Communications

Jason A Fries

Ethan Steinberg

Saelig Khattar

Scott L Fleming

Jose Posada

...

2021/4/1

See List of Professors in Alison Callahan University(Stanford University)

Co-Authors

H-index: 89
George Hripcsak

George Hripcsak

Columbia University in the City of New York

H-index: 77
Nigam Shah

Nigam Shah

Stanford University

H-index: 68
Vance P Lemmon

Vance P Lemmon

University of Miami

H-index: 60
Martin Stevens

Martin Stevens

University of Exeter

H-index: 58
John Bixby

John Bixby

University of Miami

H-index: 57
Michel Dumontier

Michel Dumontier

Universiteit Maastricht

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