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Peer Reviewed Publications
§ Reddy, S., Lebrun, A., Chee, A., & Kalogeropoulos, D. (2024). Discussing the Role of Explainable AI and Evaluation Frameworks for Safe and Effective Integration of Large Language Models in Healthcare.
Telehealth and Medicine Today, 9(2). https://doi.org/10.30953/thmt.v9.485
§ Reddy, S., Roy, S., Choy, K. W., Sharma, S., Dwyer, K. M., Manapragada, C., & Nakisa, B. (2024). Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models. medRxiv. https://doi.org/10.1101/2024.04.08.24305414
§ Jongebloed, H., Anderson, K., Winter, N., et al. (2024). The digital divide in rural and regional communities: A survey on the use of digital health technology and implications for supporting technology use. BMC Research Notes, 17(1), Article 90. https://doi.org/10.1186/s13104-024-06687-x
§ Reddy, S. (2024). Generative AI in healthcare: An implementation science informed translational path on application, integration, and governance. Implementation Science, 19(1), Article 27. https://doi.org/10.1186/s13012-024-01357-9
§ Tran, T. Q. B., Lip, S., du Toit, C., Kalaria, T. K., Bhaskar, R. K., O’Neil, A. Q., Graff, B., Hoffmann, M., Szyndler, A., Polonis, K., Wolf, J., Reddy, S., Narkiewicz, K., Dasgupta, I., Dominiczak, A. F., Visweswaran, S., McCallum, L., & Padmanabhan, S. (2024). Assessing machine learning for diagnostic classification of hypertension types identified by ambulatory blood pressure monitoring. CJC Open, https://doi.org/10.1016/j.cjco.2024.03.005
§ Reddy, S. (2023). Navigating the AI Revolution: The Case for Precise Regulation in Health Care. Journal of medical Internet research, 25, e49989. https://doi.org/10.2196/49989
§ Reddy, S. (2023). Evaluating large language models for use in healthcare: A framework for translational value assessment. Informatics in Medicine Unlocked, 101304. https://doi.org/10.1016/j.imu.2023.101304
§ du Toit, C., Tran, T. Q. B., Deo, N., Aryal, S., Lip, S., Sykes, R., Manandhar, I., Sionakidis, A., Stevenson, L., Pattnaik, H., Alsanosi, S., Kassi, M., Le, N., Rostron, M., Nichol, S., Aman, A., Nawaz, F., Mehta, D., Tummala, R., McCallum, L., … Padmanabhan, S. (2023). Survey and Evaluation of Hypertension Machine Learning Research. Journal of the American Heart Association, 12(9), e027896.
§ Casey, A., Ansari, S., Nakisa, B., Kelly, B., Brown, P., Cooper, P., Muhammad, I., Livingstone, S., Reddy, S., & Makinen, V.-P. (2023). Application of comprehensive evaluation framework to Coronavirus Disease 19 studies: A systematic review of translational aspects of artificial intelligence in health care. medRxiv, 2023.02.23.23286374.
§ Nguyen, T. T., Abdelrazek, M., Nguyen, D. T., Aryal, S., Nguyen, D. T., Reddy, S., Nguyen, Q. V. H., Khatami, A., Nguyen, T. T., Hsu, E. B., & Yang, S. (2022). Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence. Machine learning with applications, 9, 100328.
§ Reddy, S., Mito, M., & Feldschuh, M. (2022). A Qualitative Evaluation of the Use of Facial Recognition Technology for Opioid Substitution Treatment in Community Pharmacies. International Journal of Digital Health, 2(1), 5.
§ Reddy S. (2022). Explainability and artificial intelligence in medicine. The Lancet. Digital health, 4(4), e214–e215.
§ Goergen, S. K., Frazer, H. M., & Reddy, S. (2022). Quality use of artificial intelligence in medical imaging: What do radiologists need to know? Journal of medical imaging and radiation oncology, 66(2), 225–232.
§ Reddy, S & Cooper P (2021). Health Workforce Learning in Response to Artificial Intelligence. In: Butler-Henderson K, Day K, Gray K, editors. The Health Information Workforce : Current and Future Developments. Cham: Springer International Publishing; 2021. p. 129
§ Reddy, S et al. (2021). Evaluation framework to guide implementation of AI systems into healthcare settings. BMJ Health & Care Informatics 2021;28:e100444.
§ Reddy, S et al. (2021). Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature. Computer Methods and Programs in Biomedicine Update, 1, 100010.
§ Reddy S. Artificial intelligence and healthcare—why they need each other? J Hosp Manag Health Policy 2020.
§ Kane, S......Reddy, S....et al. (2020). Enabling change in public health services: Insights from the implementation of nurse mentoring interventions to improve the quality of obstetric and newborn care in two North Indian states. Gates Open Research 2020.
§ Reddy, S. et al. (2020). A governance model for the use of AI in Healthcare. JAMIA.
§ McDaniel, C., Rooholamani, SN., Desai, AD., Reddy, S., & Marshall, SG. (2020). A Qualitative Evaluation of a Clinical Faculty Mentorship Program Using a Realist Evaluation Approach. Academic Pediatrics, Aug 2019.
§ Reddy, S. (2019). Digital Health and the Divide’ chapter in ‘Understanding the Australian Healthcare System’, 4th edition.
§ Reddy, S. et al. (2019). Evaluation of clinical quality improvement interventions: feasibility of an integrated approach. BMC Pilot and Feasibility Studies.
§ Reddy, S., Fox, J. & Purohit, M.P. (2018). Artificial Intelligence-enabled healthcare delivery. Journal of Royal Society of Medicine.
§ Reddy, S. (2018). Use of Artificial Intelligence in Healthcare Delivery. E-Health. IntechOpen, London
§ Reddy, S. (2017). Process Evaluation: Unlikely. BMJ Open. [Published e-letter]
§ Reddy, S., Jones, P., Shanthanna, H., Daemarell, R. & Wakerman, J. (2017) A Systematic Review of the Impact of Healthcare Reforms on Access to Emergency Department and Elective Surgery Services: 1994-2014. International Journal of Health Services.
§ Reddy, S., Orpin, V., Herring, S., Mackie-Schneider, S. & Struber, J. (2017) Use of Clinical Guidelines in Remote Australia-A Realist Evaluation. Journal of Evaluation in Clinical Practice.
§ Reddy, S. (2017). Exploration of funding models to support hybridization of Australian Primary Health Care Organisations. Journal of Primary Health Care.
§ Reddy, S. (2017) Remote Hospital Reform in the context of Australian Healthcare Reforms. International Journal of Hospital Research.
§ Reddy, S., Carey, T., and Wakerman, J. (2016) A Realist Case Study of a Regional Hospital’s Response to Improve Emergency Department Access in the Context of Australian Healthcare Reforms. Health Services Research and Managerial Epidemiology.
§ Reddy, S. (2016) Integrated Health Care: it’s time for it to blossom. Australian Health Review.
§ Reddy, S., Wakerman, J., Westhorp, G., and Herring, S. E. (2015). Evaluating impact of clinical guidelines using a realist evaluation framework. Journal of Evaluation in Clinical Practice.
§ Reddy, S., Herring, S., & Gray, A. (2015). Identifying an appropriate Content Management System to develop Clinical Practice Guidelines: A perspective. Health Informatics Journal.
§ Reddy, S. (2015). Realist evaluation of a remote hospital programme in the context of Australian health care reforms. International Journal of Healthcare Management.
§ Reddy, S. (2015). ‘Can Australia’s clinical practice guidelines be trusted?’ Medical Journal of Australia.
§ Reddy, S. (2007). International Health Regulations: more than a challenge? Lancet Online. Vol.369, No: 9575. Published online on May 31, 2007.
Other Publications (select)
§ Reddy, S. et al. (2023). Digital maturity models for primary health care. Deeble Perspectives Brief 26. Australian Healthcare and Hospitals Association, Australia.
§ Reddy, S. (2015). Towards better health care integration. The Health Leader, Vol.2, No.1, pp.30-31, Sydney.
§ Reddy, S. (2010). What influences our health? Health Guru Magazine, New Zealand. April 2010.
§ Reddy, S. (2009). Asians are prone to fatal diseases. Indian News Link Magazine, New Zealand. February 2010.
§ Reddy, S. (2007). They need aid- NGO’s working for HIV prevention and treatment. Global Indian, New Zealand. Issue 31. June 2007.
§ Reddy, S., Lebrun, A., Chee, A., & Kalogeropoulos, D. (2024). Discussing the Role of Explainable AI and Evaluation Frameworks for Safe and Effective Integration of Large Language Models in Healthcare.
Telehealth and Medicine Today, 9(2). https://doi.org/10.30953/thmt.v9.485
§ Reddy, S., Roy, S., Choy, K. W., Sharma, S., Dwyer, K. M., Manapragada, C., & Nakisa, B. (2024). Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models. medRxiv. https://doi.org/10.1101/2024.04.08.24305414
§ Jongebloed, H., Anderson, K., Winter, N., et al. (2024). The digital divide in rural and regional communities: A survey on the use of digital health technology and implications for supporting technology use. BMC Research Notes, 17(1), Article 90. https://doi.org/10.1186/s13104-024-06687-x
§ Reddy, S. (2024). Generative AI in healthcare: An implementation science informed translational path on application, integration, and governance. Implementation Science, 19(1), Article 27. https://doi.org/10.1186/s13012-024-01357-9
§ Tran, T. Q. B., Lip, S., du Toit, C., Kalaria, T. K., Bhaskar, R. K., O’Neil, A. Q., Graff, B., Hoffmann, M., Szyndler, A., Polonis, K., Wolf, J., Reddy, S., Narkiewicz, K., Dasgupta, I., Dominiczak, A. F., Visweswaran, S., McCallum, L., & Padmanabhan, S. (2024). Assessing machine learning for diagnostic classification of hypertension types identified by ambulatory blood pressure monitoring. CJC Open, https://doi.org/10.1016/j.cjco.2024.03.005
§ Reddy, S. (2023). Navigating the AI Revolution: The Case for Precise Regulation in Health Care. Journal of medical Internet research, 25, e49989. https://doi.org/10.2196/49989
§ Reddy, S. (2023). Evaluating large language models for use in healthcare: A framework for translational value assessment. Informatics in Medicine Unlocked, 101304. https://doi.org/10.1016/j.imu.2023.101304
§ du Toit, C., Tran, T. Q. B., Deo, N., Aryal, S., Lip, S., Sykes, R., Manandhar, I., Sionakidis, A., Stevenson, L., Pattnaik, H., Alsanosi, S., Kassi, M., Le, N., Rostron, M., Nichol, S., Aman, A., Nawaz, F., Mehta, D., Tummala, R., McCallum, L., … Padmanabhan, S. (2023). Survey and Evaluation of Hypertension Machine Learning Research. Journal of the American Heart Association, 12(9), e027896.
§ Casey, A., Ansari, S., Nakisa, B., Kelly, B., Brown, P., Cooper, P., Muhammad, I., Livingstone, S., Reddy, S., & Makinen, V.-P. (2023). Application of comprehensive evaluation framework to Coronavirus Disease 19 studies: A systematic review of translational aspects of artificial intelligence in health care. medRxiv, 2023.02.23.23286374.
§ Nguyen, T. T., Abdelrazek, M., Nguyen, D. T., Aryal, S., Nguyen, D. T., Reddy, S., Nguyen, Q. V. H., Khatami, A., Nguyen, T. T., Hsu, E. B., & Yang, S. (2022). Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence. Machine learning with applications, 9, 100328.
§ Reddy, S., Mito, M., & Feldschuh, M. (2022). A Qualitative Evaluation of the Use of Facial Recognition Technology for Opioid Substitution Treatment in Community Pharmacies. International Journal of Digital Health, 2(1), 5.
§ Reddy S. (2022). Explainability and artificial intelligence in medicine. The Lancet. Digital health, 4(4), e214–e215.
§ Goergen, S. K., Frazer, H. M., & Reddy, S. (2022). Quality use of artificial intelligence in medical imaging: What do radiologists need to know? Journal of medical imaging and radiation oncology, 66(2), 225–232.
§ Reddy, S & Cooper P (2021). Health Workforce Learning in Response to Artificial Intelligence. In: Butler-Henderson K, Day K, Gray K, editors. The Health Information Workforce : Current and Future Developments. Cham: Springer International Publishing; 2021. p. 129
§ Reddy, S et al. (2021). Evaluation framework to guide implementation of AI systems into healthcare settings. BMJ Health & Care Informatics 2021;28:e100444.
§ Reddy, S et al. (2021). Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature. Computer Methods and Programs in Biomedicine Update, 1, 100010.
§ Reddy S. Artificial intelligence and healthcare—why they need each other? J Hosp Manag Health Policy 2020.
§ Kane, S......Reddy, S....et al. (2020). Enabling change in public health services: Insights from the implementation of nurse mentoring interventions to improve the quality of obstetric and newborn care in two North Indian states. Gates Open Research 2020.
§ Reddy, S. et al. (2020). A governance model for the use of AI in Healthcare. JAMIA.
§ McDaniel, C., Rooholamani, SN., Desai, AD., Reddy, S., & Marshall, SG. (2020). A Qualitative Evaluation of a Clinical Faculty Mentorship Program Using a Realist Evaluation Approach. Academic Pediatrics, Aug 2019.
§ Reddy, S. (2019). Digital Health and the Divide’ chapter in ‘Understanding the Australian Healthcare System’, 4th edition.
§ Reddy, S. et al. (2019). Evaluation of clinical quality improvement interventions: feasibility of an integrated approach. BMC Pilot and Feasibility Studies.
§ Reddy, S., Fox, J. & Purohit, M.P. (2018). Artificial Intelligence-enabled healthcare delivery. Journal of Royal Society of Medicine.
§ Reddy, S. (2018). Use of Artificial Intelligence in Healthcare Delivery. E-Health. IntechOpen, London
§ Reddy, S. (2017). Process Evaluation: Unlikely. BMJ Open. [Published e-letter]
§ Reddy, S., Jones, P., Shanthanna, H., Daemarell, R. & Wakerman, J. (2017) A Systematic Review of the Impact of Healthcare Reforms on Access to Emergency Department and Elective Surgery Services: 1994-2014. International Journal of Health Services.
§ Reddy, S., Orpin, V., Herring, S., Mackie-Schneider, S. & Struber, J. (2017) Use of Clinical Guidelines in Remote Australia-A Realist Evaluation. Journal of Evaluation in Clinical Practice.
§ Reddy, S. (2017). Exploration of funding models to support hybridization of Australian Primary Health Care Organisations. Journal of Primary Health Care.
§ Reddy, S. (2017) Remote Hospital Reform in the context of Australian Healthcare Reforms. International Journal of Hospital Research.
§ Reddy, S., Carey, T., and Wakerman, J. (2016) A Realist Case Study of a Regional Hospital’s Response to Improve Emergency Department Access in the Context of Australian Healthcare Reforms. Health Services Research and Managerial Epidemiology.
§ Reddy, S. (2016) Integrated Health Care: it’s time for it to blossom. Australian Health Review.
§ Reddy, S., Wakerman, J., Westhorp, G., and Herring, S. E. (2015). Evaluating impact of clinical guidelines using a realist evaluation framework. Journal of Evaluation in Clinical Practice.
§ Reddy, S., Herring, S., & Gray, A. (2015). Identifying an appropriate Content Management System to develop Clinical Practice Guidelines: A perspective. Health Informatics Journal.
§ Reddy, S. (2015). Realist evaluation of a remote hospital programme in the context of Australian health care reforms. International Journal of Healthcare Management.
§ Reddy, S. (2015). ‘Can Australia’s clinical practice guidelines be trusted?’ Medical Journal of Australia.
§ Reddy, S. (2007). International Health Regulations: more than a challenge? Lancet Online. Vol.369, No: 9575. Published online on May 31, 2007.
Other Publications (select)
§ Reddy, S. et al. (2023). Digital maturity models for primary health care. Deeble Perspectives Brief 26. Australian Healthcare and Hospitals Association, Australia.
§ Reddy, S. (2015). Towards better health care integration. The Health Leader, Vol.2, No.1, pp.30-31, Sydney.
§ Reddy, S. (2010). What influences our health? Health Guru Magazine, New Zealand. April 2010.
§ Reddy, S. (2009). Asians are prone to fatal diseases. Indian News Link Magazine, New Zealand. February 2010.
§ Reddy, S. (2007). They need aid- NGO’s working for HIV prevention and treatment. Global Indian, New Zealand. Issue 31. June 2007.
Sample Publications (Full Text)
![](http://www.weebly.com/weebly/images/file_icons/pdf.png)
frt_evaluation_published_article.pdf | |
File Size: | 2192 kb |
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lancet_xai_article.pdf | |
File Size: | 933 kb |
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tehai_publication.pdf | |
File Size: | 860 kb |
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integrated_model_of_evaluation_protocol_bmc_paper.pdf | |
File Size: | 1356 kb |
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ai-enabled_healthcare_delivery.pdf | |
File Size: | 289 kb |
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AI in Health Book Chapter | |
File Size: | 2858 kb |
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Realist Evaluation of Hospital Performance | |
File Size: | 297 kb |
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Realist Evaluation of use of clinical guidelines | |
File Size: | 438 kb |
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Realist Evaluation Protocol | |
File Size: | 237 kb |
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Hospital Reforms-Systematic Review | |
File Size: | 205 kb |
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Integrated Health-1 | |
File Size: | 155 kb |
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Integrated Health-2 | |
File Size: | 97 kb |
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Primary Healthcare Funding | |
File Size: | 380 kb |
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Economic assessment of ART programs | |
File Size: | 962 kb |
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Chronic Conditions Program Implementation | |
File Size: | 853 kb |
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