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2022 Journal Article Precision public health for non-communicable diseases: an emerging strategic roadmap and multinational use casesCanfell, Oliver J., Davidson, Kamila, Woods, Leanna, Sullivan, Clair, Cocoros, Noelle M., Klompas, Michael, Zambarano, Bob, Eakin, Elizabeth, Littlewood, Robyn and Burton-Jones, Andrew (2022). Precision public health for non-communicable diseases: an emerging strategic roadmap and multinational use cases. Frontiers in Public Health, 10 854525, 1-10. doi: 10.3389/fpubh.2022.854525 |
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2021 Journal Article i‐PATHWAY : Development and validation of a prediction model for childhood obesity in an Australian prospective birth cohortCanfell, Oliver J., Littlewood, Robyn, Wright, Olivia R. L. and Walker, Jacqueline L. (2021). i‐PATHWAY : Development and validation of a prediction model for childhood obesity in an Australian prospective birth cohort. Journal of Paediatrics and Child Health, 57 (8), 1250-1258. doi: 10.1111/jpc.15436 |
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2024 Journal Article “An excellent servant but a terrible master”: understanding the value of wearables for self-management in people with cystic fibrosis and their healthcare providers – a qualitative studyMattison, Graeme, Canfell, Oliver J., Smith, Daniel, Forrester, Doug, Reid, David, Töyräs, Juha and Dobbins, Chelsea (2024). “An excellent servant but a terrible master”: understanding the value of wearables for self-management in people with cystic fibrosis and their healthcare providers – a qualitative study. International Journal of Medical Informatics, 189 105532, 105532. doi: 10.1016/j.ijmedinf.2024.105532 |
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2024 Journal Article Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and BarriersKamel Rahimi, Amir, Pienaar, Oliver, Ghadimi, Moji, Canfell, Oliver J., Pole, Jason D., Shrapnel, Sally, van der Vegt, Anton H. and Sullivan, Clair (2024). Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research, 26 e49655, 1-29. doi: 10.2196/49655 |
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2024 Journal Article Advancing the decadal plan for the science of nutrition: progressing a framework for implementationTruby, Helen, Allman‐Farinelli, Margaret, Beck, Eleanor J., Beckett, Emma L., Bondonno, Catherine, Dordevic, Aimee L., Livingstone, Katherine M., Willcox, Jane, Wilkinson, Shelley A., the National Committee for Nutrition and its working groups, Hwang, Liang-Dar, McNaughton, Sarah, Padayachee, Anneline, Roura, Eugeni, Gidley, Mike and Canfell, Oliver (2024). Advancing the decadal plan for the science of nutrition: progressing a framework for implementation. Nutrition and Dietetics, 81 (2), 133-148. doi: 10.1111/1747-0080.12876 |
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2024 Journal Article The impact of digital hospitals on patient and clinician experience: systematic review and qualitative evidence synthesisCanfell, Oliver J., Woods, Leanna, Meshkat, Yasaman, Krivit, Jenna, Gunashanhar, Brinda, Slade, Christine, Burton-Jones, Andrew and Sullivan, Clair (2024). The impact of digital hospitals on patient and clinician experience: systematic review and qualitative evidence synthesis. Journal of Medical Internet Research, 26 (1) e47715, 1-24. doi: 10.2196/47715 |
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2023 Journal Article How do Twitter users feel about telehealth? A mixed-methods analysis of experiences, perceptions and expectationsSazon, Hannah, de Camargo Catapan, Soraia, Rahimi, Afshin, Canfell, Oliver J. and Kelly, Jaimon (2023). How do Twitter users feel about telehealth? A mixed-methods analysis of experiences, perceptions and expectations. Health expectations : an international journal of public participation in health care and health policy, 27 (1) e13927, 1-11. doi: 10.1111/hex.13927 |
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Featured 2023 Journal Article Trust and confidence in using telehealth in people with chronic kidney disease: A cross-sectional studyCatapan, Soraia de Camargo, Haydon, Helen M., Hickman, Ingrid J., Webb, Lindsey, Isbel, Nicole, Johnson, David, Campbell, Katrina L., Mayr, Hannah L., Canfell, Oliver, Scuffham, Paul, Burton, Nicola, Caffery, Liam J., Smith, Anthony C. and Kelly, Jaimon T. (2023). Trust and confidence in using telehealth in people with chronic kidney disease: A cross-sectional study. Journal of Telemedicine and Telecare, 29 (10_suppl), 16S-23S. doi: 10.1177/1357633x231202275 |
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2023 Journal Article Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacyKamel Rahimi, Amir, Ghadimi, Moji, van der Vegt, Anton H., Canfell, Oliver J., Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2023). Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. BMC Medical Informatics and Decision Making, 23 (1) 207, 1-14. doi: 10.1186/s12911-023-02306-0 |
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2023 Journal Article Healthier Together: Implementation and evaluation of a co-designed, culturally tailored childhood obesity community prevention program for Māori and Pacific Islander children and familiesHardt, Jessica, Canfell, Oliver J., Walker, Jacqueline L., Webb, Kerri-Lyn, Brignano, Sebastien, Kira, Kirstine, Peu, Tevita, Santos, Daphne, Bernard, Anne and Littlewood, Robyn (2023). Healthier Together: Implementation and evaluation of a co-designed, culturally tailored childhood obesity community prevention program for Māori and Pacific Islander children and families. Health Promotion Journal of Australia, 35 (3), 1-16. doi: 10.1002/hpja.803 |
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2023 Journal Article A step in the right direction: the potential role of smartwatches to support chronic disease prevention in health careMattison, Graeme, Canfell, Oliver J., Forrester, Doug, Dobbins, Chelsea, Smith, Daniel, Reid, David and Sullivan, Clair (2023). A step in the right direction: the potential role of smartwatches to support chronic disease prevention in health care. Medical Journal of Australia, 218 (9), 1-5. doi: 10.5694/mja2.51920 |
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2023 Journal Article Show me the money: how do we justify spending health care dollars on digital health?Woods, Leanna, Eden, Rebekah, Canfell, Oliver J., Nguyen, Kim‐Huong, Comans, Tracy and Sullivan, Clair (2023). Show me the money: how do we justify spending health care dollars on digital health?. Medical Journal of Australia, 218 (2), 53-57. doi: 10.5694/mja2.51799 |
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2022 Journal Article Real-world data for precision public health of noncommunicable diseases: a scoping reviewCanfell, Oliver J., Kodiyattu, Zack, Eakin, Elizabeth, Burton-Jones, Andrew, Wong, Ides, Macaulay, Caroline and Sullivan, Clair (2022). Real-world data for precision public health of noncommunicable diseases: a scoping review. BMC Public Health, 22 (1) 2166, 2166. doi: 10.1186/s12889-022-14452-7 |
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2022 Journal Article PREVIDE: A Qualitative Study to Develop a Decision-Making Framework (PREVention decIDE) for Noncommunicable Disease Prevention in Healthcare OrganisationsCanfell, Oliver J., Davidson, Kamila, Sullivan, Clair, Eakin, Elizabeth E. and Burton-Jones, Andrew (2022). PREVIDE: A Qualitative Study to Develop a Decision-Making Framework (PREVention decIDE) for Noncommunicable Disease Prevention in Healthcare Organisations. International Journal of Environmental Research and Public Health, 19 (22) 15285, 1-18. doi: 10.3390/ijerph192215285 |
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2022 Journal Article Understanding the digital disruption of health care: an ethnographic study of real-time multidisciplinary clinical behavior in a new digital hospitalCanfell, Oliver J, Meshkat, Yasaman, Kodiyattu, Zack, Engstrom, Teyl, Chan, Wilkin, Mifsud, Jayden, Pole, Jason D., Byrne, Martin, Raders, Ella Van and Sullivan, Clair (2022). Understanding the digital disruption of health care: an ethnographic study of real-time multidisciplinary clinical behavior in a new digital hospital. Applied Clinical Informatics, 13 (5), 1079-1091. doi: 10.1055/s-0042-1758482 |
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2022 Journal Article The influence of wearables on healthcare outcomes in chronic disease: a systematic reviewMattison, Graeme, Canfell, Oliver, Forrester, Douglas, Dobbins, Chelsea, Smith, Daniel, Töyräs, Juha and Sullivan, Clair (2022). The influence of wearables on healthcare outcomes in chronic disease: a systematic review. Journal of Medical Internet Research, 24 (7) e36690, 1-40. doi: 10.2196/36690 |
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2022 Journal Article Machine learning models for diabetes management in acute care using electronic medical records: a systematic reviewKamel Rahimi, Amir, Canfell, Oliver J., Chan, Wilkin, Sly, Benjamin, Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2022). Machine learning models for diabetes management in acute care using electronic medical records: a systematic review. International Journal of Medical Informatics, 162 104758, 1-13. doi: 10.1016/j.ijmedinf.2022.104758 |
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2022 Journal Article “We’d be really motivated to do something about it”: a qualitative study of parent and clinician attitudes towards predicting childhood obesity in practiceCanfell, Oliver J., Littlewood, Robyn, Wright, Olivia R. L. and Walker, Jacqueline L. (2022). “We’d be really motivated to do something about it”: a qualitative study of parent and clinician attitudes towards predicting childhood obesity in practice. Health Promotion Journal of Australia, 34 (2), 398-409. doi: 10.1002/hpja.611 |
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2022 Journal Article Data sources for precision public health of obesity: a scoping review, evidence map and use case in Queensland, AustraliaCanfell, Oliver J., Davidson, Kamila, Sullivan, Clair, Eakin, Elizabeth and Burton-Jones, Andrew (2022). Data sources for precision public health of obesity: a scoping review, evidence map and use case in Queensland, Australia. BMC Public Health, 22 (1) 584, 584. doi: 10.1186/s12889-022-12939-x |
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2022 Journal Article Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospitalLim, Han Chang, Austin, Jodie A., van der Vegt, Anton H., Rahimi, Amir Kamel, Canfell, Oliver J., Mifsud, Jayden, Pole, Jason D., Barras, Michael A., Hodgson, Tobias, Shrapnel, Sally and Sullivan, Clair M. (2022). Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital. Applied Clinical Informatics, 13 (02), 339-354. doi: 10.1055/s-0042-1743243 |
