Appointment Demand Forecasting

Appointment Demand Forecasting is a predictive modeling approach that estimates the future volume of patient or client requests for scheduled services within a healthcare or service delivery system, distinguishing it from related forecasting tasks by its focus on timing, resource allocation, and utilization patterns specific to appointment-based access.

5

Publications

165

Citations

18

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

18

  1. TA
    Thomas A. Witkowski

    Thomas Jefferson University, United States

    1 publications · 20 citations

    1

    h-index

  2. MM
    Murray Mitchell

    University of South Carolina, United States

    1 publications · 31 citations

    1

    h-index

  3. GR
    Glen R. Couchman

    Scott & White Memorial Hospital, United States

    1 publications · 31 citations

    1

    h-index

  4. HS
    Haya Salah

    University of Missouri, United States

    1 publications · 58 citations

    1

    h-index

  5. AH
    Andrew Homb

    Mayo Clinic, United States

    1 publications · 38 citations

    1

    h-index

1–5 of 18

Venues

  1. Anesthesia & Analgesia

    1 publications · 20 citations

    1

    h-index

  2. Journal of Medical Systems

    1 publications · 38 citations

    1

    h-index

  3. International Journal of Medical Informatics

    1 publications · 58 citations

    1

    h-index

  4. SMU Scholar (Southern Methodist University)

    Repository · 1 publications · 18 citations

    1

    h-index

  5. PubMed

    Repository · 1 publications · 31 citations

    1

    h-index

1–5