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Scott D. Halpern

Scott D. Halpern

· MD PhD M.Bioethics

University of Pennsylvania · Rehabilitation Medicine

Active 1967–2026

h-index75
Citations21.6k
Papers536155 last 5y
Funding$21.5M2 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Scott D. Halpern, MD, PhD, M.Bioethics, is the John M. Eisenberg Professor in Medicine at the University of Pennsylvania's Perelman School of Medicine. He is a senior fellow at the Leonard Davis Institute of Health Economics, a fellow at the Institute on Aging within the University of Pennsylvania Health System, and a senior scholar at the Center for Clinical Epidemiology and Biostatistics. Dr. Halpern serves as the director of the Palliative and Advanced Illness Research (PAIR) Center and the Behavioral Economics to Transform Trial Enrollment Representativeness (BETTER) Center at the University of Pennsylvania, as well as the director of the University of Pennsylvania's Patient-Oriented Research and Training to Accelerate Learning (Penn PORTAL). His research expertise encompasses end-of-life decision making, critical care health services research, methodological innovations in randomized trial designs, empirical bioethics, organ transplantation, research ethics, and the allocation of scarce resources. His clinical expertise includes critical care medicine and palliative medicine.

Research topics

  • Medicine
  • Nursing
  • Psychiatry
  • Family medicine
  • Political Science
  • Psychology
  • Internal medicine
  • Physical therapy
  • Intensive care medicine
  • Emergency medicine

Selected publications

  • Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic

    Annals of Internal Medicine · 2020-04-07 · 319 citations

    articleSenior author

    BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic challenges hospital leaders to make time-sensitive, critical decisions about clinical operations and resource allocations. OBJECTIVE: To estimate the timing of surges in clinical demand and the best- and worst-case scenarios of local COVID-19-induced strain on hospital capacity, and thus inform clinical operations and staffing demands and identify when hospital capacity would be saturated. DESIGN: Monte Carlo simulation instantiation o…

  • Why Diverse Clinical Trial Participation Matters

    New England Journal of Medicine · 2023 · 206 citations

    Senior authorCorresponding
  • Equitably Allocating Resources during Crises: Racial Differences in Mortality Prediction Models

    American Journal of Respiratory and Critical Care Medicine · 2021-03-22 · 101 citations

    articleOpen accessSenior author

    Abstract Rationale Crisis standards of care (CSCs) guide critical care resource allocation during crises. Most recommend ranking patients on the basis of their expected in-hospital mortality using the Sequential Organ Failure Assessment (SOFA) score, but it is unknown how SOFA or other acuity scores perform among patients of different races. Objectives To test the prognostic accuracy of the SOFA score and version 2 of the Laboratory-based Acute Physiology Score (LAPS2) among Black and white pati…

  • Effectiveness and Ethics of Incentives for Research Participation

    JAMA Internal Medicine · 2021 · 77 citations

    1st authorCorresponding

    Importance: Incentivizing research participation is controversial and variably regulated because of uncertainty regarding whether financial incentives serve as undue inducements by diminishing peoples' sensitivity to research risks or unjust inducements by preferentially increasing enrollment among underserved individuals. Objective: To determine whether incentives improve enrollment in real randomized clinical trials (RCTs) or serve as undue or unjust inducements. Design, Setting, and Participa…

  • Effect of Default Options in Advance Directives on Hospital-Free Days and Care Choices Among Seriously Ill Patients

    JAMA Network Open · 2020 · 50 citations

    1st authorCorresponding

    Importance: There is limited evidence regarding how patients make choices in advance directives (ADs) or whether these choices influence subsequent care. Objective: To examine whether default options in ADs influence care choices and clinical outcomes. Design, Setting, and Participants: This randomized clinical trial included 515 patients who met criteria for having serious illness and agreed to participate. Patients were enrolled at 20 outpatient clinics affiliated with the University of Pennsy…

Recent grants

Frequent coauthors

Labs

  • Halpern LabPI

Awards & honors

  • John M. Eisenberg, M.D. Professor in Medicine
  • Senior Fellow, Leonard Davis Institute of Health Economics,…
  • Fellow, Institute on Aging, University of Pennsylvania Healt…
  • Senior Scholar, Center for Clinical Epidemiology and Biostat…
  • Director, Palliative and Advanced Illness Research (PAIR) Ce…

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