Recall Data Analytics

Recall Data Analytics is a systematic method within recall management that employs quantitative and qualitative analytical techniques to identify, interpret, and report patterns in medical device recall data, distinguishing itself by enabling evidence-based decision-making for regulatory compliance, risk mitigation, and process improvement.

9

Publications

667

Citations

25

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

25

  1. ID
    I.J.M. de Boer

    Wageningen University & Research, Netherlands

    1 publications · 16 citations

    1

    h-index

  2. SM
    S.A. Migose

    Egerton University, Kenya

    1 publications · 16 citations

    1

    h-index

  3. MF
    Milton Friedman

    Hoover Institution, United States

    1 publications · 12 citations

    1

    h-index

  4. TF
    Tara Feuerstein

    1 publications · 15 citations

    1

    h-index

  5. SA
    Sharifah A. Omar

    1 publications · 15 citations

    1

    h-index

1–5 of 25

Venues

  1. Biomedical Instrumentation & Technology

    BI&T · 2 publications · 33 citations

    2

    h-index

  2. Sleep Medicine

    1 publications · 160 citations

    1

    h-index

  3. Social Science Research

    1 publications · 344 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5