Intake Data Quality

Intake Data Quality is a metric that evaluates the accuracy, completeness, and consistency of information collected during the initial submission phase of claims processing to ensure its suitability for downstream adjudication and analysis.

30

Publications

1.9K

Citations

145

Authors

72

Institutions

Publications per year

2017–2026

4

Authors

145

  1. LA
    Linda Amstutz

    Start International, United States

    1 publications · 25 citations

    1

    h-index

  2. DU
    Donald U. Robertson

    Indiana University of Pennsylvania, United States

    1 publications · 28 citations

    1

    h-index

  3. HT
    Hiroshi Takatsuki

    Kyoto University, Japan

    1 publications · 18 citations

    1

    h-index

  4. GM
    Gail M. Jensen

    Creighton University, United States

    1 publications · 11 citations

    1

    h-index

  5. HF
    Horacio Fábrega

    University of Pittsburgh, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 145

Venues

  1. Nutrients

    2 publications · 329 citations

    2

    h-index

  2. Cadernos de Saúde Pública

    CSP · 1 publications · 16 citations

    1

    h-index

  3. The Journal of Deaf Studies and Deaf Education

    JDSDE · 1 publications · 39 citations

    1

    h-index

  4. Journal of Autism and Developmental Disorders

    1 publications · 181 citations

    1

    h-index

  5. Food Additives & Contaminants

    1 publications · 53 citations

    1

    h-index

1–5