Real-Time Clinical Decision Support Systems for the Prevention of Deterioration in Acute Care
Blythe, Robin (2024) Real-Time Clinical Decision Support Systems for the Prevention of Deterioration in Acute Care. PhD by Publication, Queensland University of Technology.
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Robin Blythe Thesis
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Description
Clinical deterioration is the progression of patients from their current clinical states to worse states where they have increased risks of adverse events. This thesis investigates why many prediction models for in-hospital deterioration fail to lead to improved outcomes for patients, applying mixed-methods approaches to improve the biostatistical, clinical, and operational foundations of predictive algorithm research. This research has broader implications for clinical prediction models, including that selection of statistical methods that mirror the clinical environment can lead to significant improvements in predictive accuracy and integration into end-users’ workflows.
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| ID Code: | 251291 |
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| Item Type: | QUT Thesis (PhD by Publication) |
| Supervisor: | McPhail, Steven, Abdel-Hafez, Ahmad, White, Nicole, & Cook, David |
| Keywords: | Clinical Deterioration, Clinical Decision Support Systems, Digital Health, Clinical Informatics, Biostatistics, Clinical Prediction Models, Survival Analysis, Cox Regression, Logistic Regression, Machine Learning |
| DOI: | 10.5204/thesis.eprints.251291 |
| Divisions: | Current > Research Centres > Centre for Healthcare Transformation Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Public Health & Social Work |
| Institution: | Queensland University of Technology |
| Deposited On: | 15 Aug 2024 14:12 |
| Last Modified: | 22 Jan 2025 00:45 |
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