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A methodology to facilitate critical care research using multiple linked electronic, clinical and administrative health records at population scale.
Griffiths, Rowena; Herbert, Laura; Akbari, Ashley; Bailey, Rowena; Hollinghurst, Joe; Pugh, Richard; Szakmany, Tamas; Torabi, Fatemeh; Lyons, Ronan A.
Affiliation
  • Griffiths R; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UK.
  • Herbert L; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UK.
  • Akbari A; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UK.
  • Bailey R; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UK.
  • Hollinghurst J; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UK.
  • Pugh R; Department of Anaesthetics, Glan Clwyd Hospital, Betsi Cadwaladr University Health Board, Rhyl, UK.
  • Szakmany T; Department of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Cardiff, UK.
  • Torabi F; Critical Care Directorate, Royal Gwent Hospital, Aneurin Bevan University Health Board, Newport, UK.
  • Lyons RA; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UK.
Int J Popul Data Sci ; 7(1): 1724, 2022.
Article in En | MEDLINE | ID: mdl-37650027
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Critical Care / Intensive Care Units Type of study: Guideline Limits: Humans Language: En Journal: Int J Popul Data Sci Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Critical Care / Intensive Care Units Type of study: Guideline Limits: Humans Language: En Journal: Int J Popul Data Sci Year: 2022 Document type: Article Affiliation country: Country of publication: