Complication Data Quality

Complication Data Quality is a scholarly construct within health informatics research that denotes the extent to which documented complication data adhere to clinical accuracy, completeness, temporal coherence, and semantic consistency, thereby enabling reliable assessment of patient outcomes and healthcare performance.

12

Publications

1.1K

Citations

78

Authors

51

Institutions

Publications per year

2017–2026

5

Authors

78

  1. TR
    Tim Rattay

    University of Leicester, United Kingdom

    2 publications · 81 citations

    2

    h-index

  2. RO
    Rachel O’Connell

    The University of Sydney, Australia

    2 publications · 81 citations

    2

    h-index

  3. MG
    Matthew Gardiner

    University of Bristol, United Kingdom

    2 publications · 81 citations

    2

    h-index

  4. MA
    Matilda Annebäck

    Uppsala University, Sweden

    2 publications · 111 citations

    2

    h-index

  5. ON
    Olov Norlén

    Uppsala University, Sweden

    2 publications · 111 citations

    2

    h-index

1–5 of 78

Venues

  1. JAMA

    2 publications · 168 citations

    2

    h-index

  2. 1

    h-index

  3. British Journal of Cancer

    BJC · 1 publications · 69 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 43 citations

    1

    h-index

  5. Journal of neurosurgery

    JNS · 1 publications · 69 citations

    1

    h-index

1–5