Parker Healthcare Allocation Lab

The Healthcare Allocation (HCA) Lab is an NIH-funded data science lab dedicated to improving the algorithmic allocation of scarce healthcare resources. We are specifically focused in absolute scarcity problems, where demand greatly exceeds supply and healthcare systems cannot avoid rationing.

Principal Investigator Dr. William F. Parker is an intensivist, clinical medical ethicist, and health services researcher. He is also Founding Executive Director of the Common Longitudinal ICU data Format (CLIF) Consortium, an open-source data standard for longitudinal ICU data that enables privacy-preserving multi-center research.

The University of Chicago
Department of Medicine and Public Health Sciences

Dr. William F. Parker
CLIF Consortium Logo

CLIF Consortium

The Common Longitudinal ICU data Format Consortium standardizes critical care data across 17 institutions and 46 hospitals to enable rapid, privacy-preserving multi-center research. Founded by Dr. Parker in 2023.

Visit CLIF →

Funding

Our research is generously supported by:

National Heart, Lung, and Blood Institute
National Library of Medicine
The Greenwall Foundation

Our Approach

An integrated cycle of ethical analysis and empirical research.

Lab approach cycle: Normative ethical framework and empirical data inform a practical allocation algorithm, which produces allocation outcomes that prompt rigorous ethical analysis and correct unintended consequences

“Although some are better than others, no single principle allocates interventions justly. Rather, morally relevant simple principles must be combined into multiprinciple allocation systems.”

— Persad, Wertheimer & Emanuel, The Lancet, 2009

The Parker HCA Lab is a quantitative bioethics lab, leveraging advanced data science methods and normative analysis to engage the wicked problem of the allocation of scarce healthcare resources. We believe both methods are equally important to generate satisfactory solutions.

Research Areas

Our work spans three interconnected domains of scarce healthcare resource allocation.

Research areas: Deceased donor organs, Initial supply of novel therapeutics, Life-support during Crisis Standards of Care

Research Spotlights

Featured publications from the lab

Slow Life Support for Imminently Dying Patients

Slow Life Support for Imminently Dying Patients

Beyond communication, the boundaries of unilateral clinician authority must be clarified when initial shared decision-making is unable to negotiate a coherent life support plan. Informed assent, wherein clinicians explicitly disclose a recommended treatment path and its best-case and worst-case potential outcomes to patients or surrogates, may provide the most optimal balance of core ethical principles.

Vollbrecht H, Iwashyna TJ, et al. JAMA. 2026.

Artifactual Declines in Durable LVAD Utilization Among Heart Transplant Candidates: Selection Bias in Transplant Registries

Artifactual Declines in Durable LVAD Utilization Among Heart Transplant Candidates: Selection Bias in Transplant Registries

The STAR MCS file excludes LVADs among currently listed candidates, producing artifactual declines in LVAD prevalence and incidence and inflated waitlist outcomes. Awareness of registry construction is essential for accurate interpretation of LVAD-related outcomes.

Ahn DJ, Lyden GR, et al. J Heart Lung Transplant. 2026.

Status Exceptions and Misalignment of Medical Urgency in U.S. Pediatric Heart Transplantation

Status Exceptions and Misalignment of Medical Urgency in U.S. Pediatric Heart Transplantation

Pediatric heart transplant status exceptions are frequently granted to candidates who are not at the highest risk of waitlist death, contributing to misalignment between assigned medical urgency and actual mortality risk. The findings highlight opportunities to refine pediatric heart allocation policy.

Ahn DJ, Attia A, et al. J Am Coll Cardiol. 2026.

Common Longitudinal ICU Data Format (CLIF)

Common Longitudinal ICU Data Format (CLIF)

The CLIF consortium establishes a common data standard for ICU data science, enabling privacy-preserving federated research across multiple hospital systems.

Rojas JC, Lyons PG, et al. Intensive Care Med. 2025.

United States Candidate Risk Score (US-CRS) for Predicting Death Without Transplant in Adult Heart Transplant Candidates

United States Candidate Risk Score (US-CRS) for Predicting Death Without Transplant in Adult Heart Transplant Candidates

A new risk score for heart transplant candidates predicts mortality on the waiting list, improving allocation beyond the current priority-tier system.

Zhang KC, Narang N, et al. JAMA. 2024;331(3):237-247.

Association of Transplant Center With Survival Benefit Among Adults Undergoing Heart Transplant in the United States

Association of Transplant Center With Survival Benefit Among Adults Undergoing Heart Transplant in the United States

The 5-year survival benefit associated with heart transplant varied across transplant centers, and high survival benefit centers performed heart transplant for patients with lower estimated waiting list survival without transplant.

Parker WF, Anderson AS, et al. JAMA. 2019;322(18):1789-1798.

Publications

Searchable list of lab publications from PubMed.

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