Coding Risk Adjustment

Coding Risk Adjustment is a methodological framework in health services research that quantifies and standardizes patient complexity by translating clinical diagnoses into hierarchical categories to adjust for risk in healthcare outcomes and reimbursement models.

22

Publications

1K

Citations

81

Authors

51

Institutions

Publications per year

2017–2026

9

Variants

Risk Adjustment Coding

Authors

81

  1. AB
    Alex Bottle

    Imperial College London, United Kingdom

    2 publications · 116 citations

    2

    h-index

  2. PA
    Paul Aylin

    Imperial College London, United Kingdom

    2 publications · 116 citations

    2

    h-index

  3. RK
    Richard Kronick

    University of California San Diego, United States

    2 publications · 110 citations

    2

    h-index

  4. DS
    Devdutta Sangvai

    Duke University, United States

    1 publications · 16 citations

    1

    h-index

  5. DL
    Diane L Adams

    National Medical Association, United States

    1 publications · 40 citations

    1

    h-index

1–5 of 81

Venues

  1. PubMed

    Repository · 5 publications · 237 citations

    5

    h-index

  2. Health Services Research

    HSR · 3 publications · 159 citations

    3

    h-index

  3. Health Affairs

    2 publications · 73 citations

    2

    h-index

  4. Journal of the American College of Surgeons

    JACS · 1 publications · 15 citations

    1

    h-index

  5. BMC Medical Research Methodology

    1 publications · 96 citations

    1

    h-index

1–5