Increasing diagnoses per patient admission at a specialist children's hospital: A retrospective study.
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| Title: | Increasing diagnoses per patient admission at a specialist children's hospital: A retrospective study. |
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| Authors: | Bowyer SA; Data Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital, London United Kingdom.; NIHR GOSH Biomedical Research Centre, London, United Kingdom.; Department of Surgery and Cancer, Imperial College London, London, United Kingdom., Booth J; Data Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital, London United Kingdom.; NIHR GOSH Biomedical Research Centre, London, United Kingdom., Key D; Data Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital, London United Kingdom.; NIHR GOSH Biomedical Research Centre, London, United Kingdom., Pissaridou E; Data Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital, London United Kingdom.; NIHR GOSH Biomedical Research Centre, London, United Kingdom., Bryant WA; Data Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital, London United Kingdom.; NIHR GOSH Biomedical Research Centre, London, United Kingdom., Hemingway H; Institute of Health Informatics, Faculty of Population Health Sciences, University College London, London, United Kingdom.; NIHR University College London Hospitals NHS Trust Biomedical Research Centre, London, United Kingdom.; Health Data Research, London, United Kingdom., Sebire NJ; Data Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital, London United Kingdom.; NIHR GOSH Biomedical Research Centre, London, United Kingdom.; Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom. |
| Source: | PloS one [PLoS One] 2025 May 06; Vol. 20 (5), pp. e0322997. Date of Electronic Publication: 2025 May 06 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0322997 |
