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Joyce Liao

· PhD, DABCC – Assistant Professor

University of Washington · MD/PhD Program

Active 2001–2026

h-index28
Citations3.1k
Papers332185 last 5y
Funding

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

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About

Joyce Liao is a faculty member in the Department of Laboratory Medicine & Pathology at UW Medicine, University of Washington. The department serves as a regional resource for clinical laboratory services, integrating sophisticated testing and informatics capabilities with the resources of an academic institution to provide clinical and anatomical pathology services. The department is recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, serving the five-state WWAMI region, including Washington, Wyoming, Alaska, Montana, and Idaho. While specific research focus areas or key contributions are not detailed in the provided text, the department's broad scope encompasses diagnostic services in anatomic and surgical pathology, clinical pathology, and related research and educational programs.

Research topics

  • Business
  • Finance
  • Medicine
  • Actuarial science
  • Environmental health
  • Public economics
  • Economic growth
  • Political Science
  • Computer Science
  • Economics

Selected publications

  • The Impact of Medicare's Alternative Payment Models on the Value of Care

    Annual Review of Public Health · 2020 · 61 citations

    1st authorCorresponding

    Over the past decade, the Centers for Medicare and Medicaid Services (CMS) have led the nationwide shift toward value-based payment. A major strategy for achieving this goal has been to implement alternative payment models (APMs) that encourage high-value care by holding providers financially accountable for both the quality and the costs of care. In particular, the CMS has implemented and scaled up two types of APMs: population-based models that emphasize accountability for overall quality and…

  • Spending and quality after three years of Medicare’s bundled payments for medical conditions: quasi-experimental difference-in-differences study

    BMJ · 2020 · 45 citations

    OBJECTIVE: To evaluate whether longer term participation in the bundled payments for care initiative (BPCI) for medical conditions in the United States, which held hospitals financially accountable for all spending during an episode of care from hospital admission to 90 days after discharge, was associated with changes in spending, mortality, or health service use. DESIGN: Quasi-experimental difference-in-differences analysis. SETTING: US hospitals participating in bundled payments for acute myo…

  • Artificial Intelligence Software Among Commercially Insured Populations: Characteristics of Patient and Plans (Preprint)

    2025-10-22

    articleOpen accessSenior author

    <sec> <title>BACKGROUND</title> Artificial intelligence (AI) software is poised to transform radiology. Despite this potential, little remains known about which patients have received AI and the insurance types reimbursing clinicians for these services. </sec> <sec> <title>OBJECTIVE</title> To address these gaps, we conducted an exploratory analysis using 2018-2023 Merative MarketScan data to describe adoption of 11 AI software types. </sec> <sec> <title>METHODS</title> Among a cohort of 8,272 c…

  • Prescription Default Nudges for Opioid Reduction after Major Surgery (NORMS)

    Annals of Surgery · 2025-11-07

    articleSenior author

    OBJECTIVE: We aimed to evaluate the impact of an electronic health record (EHR)-based default "nudge" intervention on opioid prescribing after common surgical operations. BACKGROUND: Given ongoing national challenges in opioid use and opioid-related adverse events, there is a need to optimize opioid prescribing after surgery. Behavioral nudges built into the EHR may be effective and useful, but they have not been widely tested among surgeons. METHODS: This is a randomized clinical trial at a lar…

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