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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.
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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