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.

Key Publications

Foundational papers from the lab

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.

Research Areas

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

Deceased donor organs

Deceased Donor Organ Allocation

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.

The Association of Place-Based Disadvantage and Access to Deceased Donor Heart Transplantation

The Association of Place-Based Disadvantage and Access to Deceased Donor Heart Transplantation

Area deprivation index (ADI) was associated with heart transplantation to a greater extent than other place-based disadvantage indices studied. The forthcoming continuous distribution provides an opportunity to incorporate ADI to address disparities in heart transplantation.

Wang AZ, Barrett K, et al. Am J Transplant. 2025.

Association of the 2018 U.S. Heart Allocation Policy Change and the Survival Benefit of Heart Transplantation

Association of the 2018 U.S. Heart Allocation Policy Change and the Survival Benefit of Heart Transplantation

In 2018, the U.S. heart allocation policy underwent a major change designed to increase transplantation of the most medically urgent candidates. The policy change has indeed led to better stratification and prioritization of candidates by clinical acuity, resulting in higher survival benefit of transplantation performed. Combined with higher transplantation rates, the 2018 heart allocation policy has saved thousands of life-years and achieved one of its major goals.

Tolmie SB, Gibbons RD, et al. JACC Heart Fail. 2025;13(7):102480.

Initial supply of novel therapeutics

Scarce Therapeutics Allocation

Association of Zip Code Vaccination Rate With COVID-19 Mortality in Chicago, Illinois

Association of Zip Code Vaccination Rate With COVID-19 Mortality in Chicago, Illinois

Chicago zip codes with the lowest COVID-19 vaccination rates were predominantly Black and Hispanic and suffered the highest COVID-19 mortality. Modeling suggests equitable vaccine distribution could have prevented a substantial share of deaths during the Alpha and Delta waves.

Zeng S, Pelzer KM, et al. JAMA Netw Open. 2022;5(5):e2214753.

Errors in Converting Principles to Protocols: Where the Bioethics of U.S. Covid-19 Vaccine Allocation Went Wrong

The ACIP's COVID-19 vaccine allocation recommendations were internally inconsistent with its own ethical principles - overly broad healthcare worker priority, age as the sole high-risk criterion, no place-based distribution, and implicit first-come, first-served allocation. Rigorous empirical work and a complete ethical framework could have prevented these mistakes and saved lives.

Parker WF, Persad G, Peek ME. Hastings Cent Rep. 2022;52(5):8-14.

Life-support during Crisis Standards of Care

Crisis Standards of Care

Slow Life Support for Imminently Dying Patients

Slow Life Support for Imminently Dying Patients

This viewpoint introduces and explores the ethical implications of "slow life support" - the selective and often undisclosed withholding or modulation of life sustaining therapies by clinicians in imminently dying patients.

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

Variation in Ventilator Allocation Guidelines by US State During the Coronavirus Disease 2019 Pandemic

Variation in Ventilator Allocation Guidelines by US State During the Coronavirus Disease 2019 Pandemic

A systematic review of state ventilator allocation guidelines during the COVID-19 pandemic found only half of US states had public guidance, with substantial variation in triage criteria; most guidelines recommended objective clinical scoring systems for rationing decisions.

Piscitello GM, Kapania EM, et al. JAMA Netw Open. 2020;3(6):e2012606.

Publications

Searchable list of lab publications from PubMed.

Loading publications from PubMed...