Scott, Ian A
The University of Queensland · Princess Alexandra Hospital
10 papers on CoChatORCID 0000-0002-7596-0837
Most cited papers
- Verified
Data linkage: a powerful research tool with potential problems
Bohensky, M. A., Jolley, D., Sundararajan, V., Evans, S., Pilcher, D. V., Scott, I., & Brand, C. A. (2010) · BMC Health Services Research
Data Quality and ManagementMedical Coding and Health Information
Cited by 234
- Verified
Exploring stakeholder attitudes towards AI in clinical practice
Scott, I. A., Carter, S. M., & Coiera, E. (2021) · BMJ Health & Care Informatics
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 193
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In search of professional consensus in defining and reducing low-value care
Scott, I. A., & Duckett, S. J. (2015) · Medical Journal of Australia
Healthcare cost, quality, practicesHealthcare Policy and Management
Cited by 154
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What are the most effective strategies for improving quality and safety of health care?
Scott, I. (2009) · Internal Medicine Journal
Healthcare Quality and ManagementHealth Policy Implementation Science
Cited by 153
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Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review
Scott, I. A., Pillans, P. I., Barras, M., & Morris, C. (2018) · Therapeutic Advances in Drug Safety
Pharmaceutical Practices and Patient OutcomesElectronic Health Records Systems
Cited by 114
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Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework
van der Vegt, A. H., Scott, I. A., Dermawan, K., Schnetler, R. J., Kalke, V. R., & Lane, P. J. (2023) · Journal of the American Medical Informatics Association
Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems
Cited by 109
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Diagnostic errors in older patients: a systematic review of incidence and potential causes in seven prevalent diseases
Skinner, T., Scott, I., & Martin, J. (2016) · International Journal of General Medicine
Clinical Reasoning and Diagnostic SkillsPharmaceutical Practices and Patient Outcomes
Cited by 99
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Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework
van der Vegt, A. H., Scott, I. A., Dermawan, K., Schnetler, R. J., Kalke, V. R., & Lane, P. J. (2023) · Journal of the American Medical Informatics Association
Sepsis Diagnosis and TreatmentArtificial Intelligence in Healthcare and Education
Cited by 72
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Achieving large-scale clinician adoption of AI-enabled decision support
Scott, I. A., van der Vegt, A., Lane, P., McPhail, S., & Magrabi, F. (2024) · BMJ Health & Care Informatics
Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems
Cited by 65
- Verified
The Gaps in Specialists’ Diagnoses
Scott, I. A., & Campbell, D. A. (2018) · Medical Journal of Australia
Clinical Reasoning and Diagnostic SkillsRadiology practices and education
Cited by 12
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