Coding Intensity Adjustment

Coding Intensity Adjustment is a methodological approach in risk adjustment that belongs to the class of statistical correction techniques, specifically designed to account for variations in the extent and specificity of diagnostic coding across providers or settings, thereby distinguishing it from clinical risk adjustment models by targeting non-clinical, administrative coding practices that influence risk scores.

5

Publications

222

Citations

10

Authors

6

Institutions

Publications per year

2017–2026

2

Authors

10

  1. RK
    Richard Kronick

    University of California San Diego, United States

    4 publications · 189 citations

    4

    h-index

  2. PW
    Pete Welch

    2 publications · 79 citations

    2

    h-index

  3. WP
    W. Pete Welch

    Urban Institute, United States

    1 publications · 70 citations

    1

    h-index

  4. PY
    Phyllis Yan

    University of Michigan, United States

    1 publications · 33 citations

    1

    h-index

  5. AA
    Adam A. Markovitz

    University of Michigan, United States

    1 publications · 33 citations

    1

    h-index

1–5 of 10

Venues

  1. Health Affairs

    2 publications · 73 citations

    2

    h-index

  2. Medicare & Medicaid Research Review

    MMRR · 2 publications · 79 citations

    2

    h-index

  3. PubMed

    Repository · 1 publications · 70 citations

    1

    h-index

  4. Health Services Research

    HSR · 1 publications · 10 citations

1–4