Alona Furmanchuk

Research Assistant Professor

Northwestern University Feinberg School of Medicine

United States

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Alona Furmanchuk is a Research Assistant Professor at Northwestern University Feinberg School of Medicine, based in the United States. Her research focuses on the application of natural language processing in healthcare, including projects on electronic medical record data and patient care optimization. Recent articles highlight variations in transfusion practices, prediction models for patient stabilization, and the impact of social determinants of health on treatment outcomes.

Articles (13)

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2024

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2024

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2024

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2023

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2023

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2023

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2021

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2020

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2020

Collaborators (9)

Veer Vekaria

Weill Cornell Medicine

UNITED STATES

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Anne Stey

Assistant Professor

Northwestern Medicine

UNITED STATES

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Rosalind Ramsey‐Goldman

UNITED STATES

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Umberto Tachinardi

Associate-Dean

University of Cincinnati

UNITED STATES

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Olga V Patterson

University of Utah

UNITED STATES

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Mark Hauser

Professor

Northwestern University

UNITED STATES

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Saurabh Gombar

Stanford University

UNITED STATES

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Kelsey Rydland

Head of Digital Scholarship

Northwestern University

UNITED STATES

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SEAN D MOONEY

University of Washington

UNITED STATES

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Alona Furmanchuk

Research Interests

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Articles (13)

Hospital variation in adoption of balanced transfusion practices among injured patients requiring blood transfusions

Prediction of intra-abdominal injury using natural language processing of electronic medical record data

Prediction of Time to Hemodynamic Stabilization of Unstable Injured Patient Encounters Using Electronic Medical Record Data

Re-triage moderates association between state trauma funding and lower mortality of trauma patients

Geographic Disparities in Re-triage Destinations Among Seriously Injured Californians

Identification and assessment of classification criteria attributes for systemic lupus erythematosus in a regional medical record data network

Machine learning identification of patient clusters for cutaneous melanoma

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

Extracting social determinants of health from electronic health records using natural language processing: a systematic review

Divergent Trends in Emergency Department Presentations Amid the Novel Coronavirus Disease 2019 Pandemic in Chicago, Illinois

Effect of the Affordable Care Act on diabetes care at major health centers: newly detected diabetes and diabetes medication management

A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results

The effect of number of healthcare visits on study sample selection in electronic health record data

Collaborators (9)

Veer Vekaria

Anne Stey

Rosalind Ramsey‐Goldman

Umberto Tachinardi

Olga V Patterson

Mark Hauser

Saurabh Gombar

Kelsey Rydland

SEAN D MOONEY

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