Meghan Halley

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Assistant Professor

Stanford University Medical Center

United States

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About

Dr. Meghan Halley is an Assistant Professor at Stanford Medicine in the United States. Her research primarily focuses on improving efficiency and equity in rare disease research, exploring patient experiences, and understanding the impacts of social determinants on health care. She has published extensively on topics such as genomic sequencing in pediatric patients, the role of technology in health care, and the psychological effects of the COVID-19 pandemic on health care professionals.

Recent Grants

Grant: Close

Surfacing values in the economic evaluation of genomic sequencing for diagnosis of children with rare diseases

Open Date: 2021-05-10

Close Date: 2026-02-28

Grant: Close

Latinas' Experiences of Breast Cancer Treatment

Open Date: 2013-09-01

Close Date: 2016-02-29

Grant: Close

Dissertation Research: The Role of Adolescent Initiation Rituals in Shaping Youth Behavior In Rural Tanzania

Open Date: 2009-04-15

Close Date: 2010-09-30

Articles (10)

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (2)

Albert Chiou

Clinical Assistant Professor

Stanford University School of Medicine

UNITED STATES

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Eleni Linos

Stanford University

UNITED STATES

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Meghan Halley

Research Interests

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About

Recent Grants

Articles (10)

A qualitative exploration of the experiences of itch for adults living with epidermolysis bullosa

A call for an integrated approach to improve efficiency, equity and sustainability in rare disease research in the United States

Perceived utility and disutility of genomic sequencing for pediatric patients: Perspectives from parents with diverse sociodemographic characteristics

Barriers and facilitators to mobile health and active surveillance use among older adults with skin disease

Age-Related Differences in Experiences With Social Distancing at the Onset of the COVID-19 Pandemic: A Computational and Content Analytic Investigation of Natural Language From a Social Media Survey

A typology of existing machine learning-based predictive analytic tools focused on reducing costs and improving quality in health care: Systematic search and content analysis

Anxiety levels among physician mothers during the COVID-19 pandemic

Caring for the caregivers - Covid-19 vaccination for essential members of the health care team

From “Ought” to “Is”: Surfacing Values in Patient and Family Advocacy in Rare Diseases

Opportunities and pitfalls of social media research in rare genetic diseases: a systematic review

Collaborators (2)

Albert Chiou

Eleni Linos

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