Jessica Keim-Malpass, PhD
About
Jessica Keim-Malpass is a nurse researcher and Associate Professor of Nursing and Associate Professor of Pediatrics at the University of Virginia in Charlottesville. Her work sits at the intersection of clinical surveillance, health equity, and data science, with research spanning pediatric critical care, HIV care access, and the use of artificial intelligence in detecting clinical deterioration.
Her publication record, comprising more than 160 peer-reviewed works, reflects a sustained focus on vulnerable patient populations and the structural factors shaping their care. Recent research includes a randomized controlled trial examining AI-based analytics for identifying clinical deterioration, studies on AIDS Drug Assistance Programs and their contribution to viral suppression across demographic groups, and an investigation of pharmacomarkers as a proxy for nurse workload in pediatric intensive care settings. Her work has appeared in journals including Clinical Infectious Diseases, Scientific Reports, Nursing Outlook, and JMIR Research Protocols.
Keim-Malpass has also contributed to broader policy and practice discussions in nursing, including work on reconsidering the use of race, sex, and age in clinical algorithms and on translating nursing research into policy. She holds credentials as a registered nurse alongside her doctoral training, and her affiliation with the University of Virginia School of Nursing places her within an active academic research environment.
Credentials
Publications
- State AIDS Drug Assistance Programs' Contribution to the US Viral Suppression, 2015-2022.
- Characterizing AIDS Drug Assistance Program Practices and Policies for Sustained Viral Suppression Using the Consolidated Framework for Implementation Research: Protocol for a Qualitative Study.
- Nurse leaders achieving equitable research and evidence translation into policy, practice, and products.
- A randomized controlled trial of artificial intelligence-based analytics for clinical deterioration.
- Stress and Support Present in Medical Crowdfunding in Pediatric Cancer.
- Reconsidering the use of race, sex, and age in clinical algorithms to address bias in practice: A discussion paper.
- Trends in AIDS Drug Assistance Program Support for People With HIV, by Age, Sex, Race, and US Region, 2008‒2021.
- Pharmacomarkers: A Novel Computable Biomarker to Represent Dynamic Patient Complexity and Burden of Care in the Pediatric Intensive Care Unit to Serve as a Proxy for Nurse Workload.
- Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials.
- State AIDS Drug Assistance Programs' Contribution to the United States' Viral Suppression, 2015-2022.
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