Allergy Data Quality

Allergy Data Quality is a methodological construct that specifies the accuracy, completeness, consistency, and timeliness of allergy-related health information within electronic health records to ensure its reliability and clinical utility.

15

Publications

878

Citations

121

Authors

112

Institutions

Publications per year

2017–2026

6

Publications

15

1–5 of 15

Authors

121

  1. AS
    Aziz Sheikh

    University of Edinburgh, United Kingdom

    3 publications · 236 citations

    3

    h-index

  2. DP
    David Price

    University of Aberdeen, United Kingdom

    2 publications · 144 citations

    2

    h-index

  3. AG
    Alexei Gonzalez‐Estrada

    Mayo Clinic in Florida, United States

    1 publications · 44 citations

    1

    h-index

  4. MM
    M. Morais Almeida

    Hospital do Desterro, Portugal

    1 publications · 101 citations

    1

    h-index

  5. XZ
    Xin Zheng

    Sun Yat-sen University, China

    1 publications · 43 citations

    1

    h-index

1–5 of 121

Venues

  1. Annals of Allergy Asthma & Immunology

    ACAAI · 2 publications · 77 citations

    2

    h-index

  2. Clinical & Experimental Allergy

    2 publications · 64 citations

    2

    h-index

  3. 2

    h-index

  4. Allergy

    2 publications · 193 citations

    2

    h-index

  5. Journal of Medical Internet Research

    1 publications · 157 citations

    1

    h-index

1–5