Billing Error Detection

Billing Error Detection is a systematic analytical method within revenue cycle analytics that identifies discrepancies and inaccuracies in medical or service billing through pattern recognition, rule-based validation, and data integrity checks, distinguishing it from broader financial auditing by its focused application to billing-specific anomalies in healthcare and service-driven industries.

4

Publications

53

Citations

6

Authors

5

Institutions

Publications per year

2017–2026

0

Authors

6

  1. AR
    Avi Rushinek

    University of Miami, United States

    1 publications · 11 citations

    1

    h-index

  2. DR
    Donald R. Jones

    Texas Tech University, United States

    1 publications · 14 citations

    1

    h-index

  3. WT
    William T. Thorwarth

    Catawba Valley Medical Center, United States

    1 publications · 17 citations

    1

    h-index

  4. AF
    A. Faye Borthick

    Georgia State University, United States

    1 publications · 14 citations

    1

    h-index

  5. RW
    R. W. Bossemeyer

    University of Michigan, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 6

Venues

  1. Medical Entomology and Zoology

    1 publications · 11 citations

    1

    h-index

  2. Journal of the American College of Radiology

    JACR · 1 publications · 17 citations

    1

    h-index

  3. Journal of Information Systems

    1 publications · 14 citations

    1

    h-index

  4. Information & Management

    1 publications · 11 citations

    1

    h-index

  5. Annals of Emergency Medicine

    1 publications · 13 citations

1–5