Sandeep Reddy

Distinguished academic leader in healthcare management and health informatics with over 25 years of experience spanning clinical practice, research, teaching, and executive roles; extensive qualifications including various fellowships; demonstrating academic excellence through 60+ publications, editorial roles, and over $1 million in competitive research funding; proven leadership ability shown via management of multidisciplinary teams, design and implementation of health system reforms, quality initiatives, and digital health strategies across primary, secondary, and tertiary care settings nationally and internationally.

• 2019, Present, Higher Education Academy, UK
• 2013, Present, Australasian College of Health Service Management
• 2019, Present, Australasian Institute of Digital Health
• 2016, Present, Faculty of Public Health, Royal College of Physicians, UK

§  Reddy, S. (2023). Navigating the AI Revolution: The Case for Precise Regulation in Health Care. Journal of medical Internet research, 25, e49989.

§  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. and 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), p.5.

§  Nguyen, T.T. et al (2022). Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence. Machine Learning with Applications, 100328-100328

§  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 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.

§  Lip, S; Mccallum, L; Reddy, S; Chandrasekaran, N; Tule, S; Bhaskar, R K; Padmanabhan, S. (2021). Machine Learning Based Models for Predicting White-Coat and Masked Patterns of Blood Pressure. Journal of Hypertension: Volume 39 - Issue - p e69

§  Reddy S. Artificial intelligence and healthcare—why they need each other?
J Hosp Manag Health Policy 2020.

§  Kane, S., Dayal, P., Mahapatra, T., Kumar, S., Bhasin, S., Gore, A., Das, A., Reddy, S., Mahal, A., Krishnan, S., & Kermode, M. (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., Allan, S., Coghlan, S & Cooper, P. (2019). A governance model for the application of Artificial Intelligence in Healthcare. Journal of the American Medical Informatics Association.

§  McDaniel, C., Rooholamani, SN., Desai, AD., Reddy, S., & Marshall, SG. (2019). A Qualitative Evaluation of a Clinical Faculty Mentorship Program Using a Realist Evaluation Approach. Academic Pediatrics, Aug 2019.

§  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. (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 program 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.

• Translational Application of Artificial Intelligence in Healthcare: - A Textbook, A/Prof. Sandeep Reddy, CRC Press, 2023
• Artificial Intelligence-Applications in Healthcare Delivery, A/Prof. Sandeep Reddy, Routledge, 2020
• Evaluation of Health Services, A/Prof. Sandeep Reddy, A.I. Tavares, IntechOpen, 2020, London
• AI in Healthcare-Theory to Application, A/Prof. Sandeep Reddy, Kindle Publication, 2019, USA
• Finish your PhD, A/Prof. Sandeep Reddy, Kindle Publication, 2017, USA
• Ace USMLE step 2 clinical skills, Sandeep, Peepee Publishers, 2006, India

• Digital Health and the Divide, Understanding the Australian Healthcare System, Elsevier, 2023
• Health Workforce Learning in Response to Artificial Intelligence, The Health Information Workforce : Current and Future Developments, K. Butler-Henderson, K. Day, K. Gray, Springer International Publishing, 2021
• Algorithmic Medicine, Artificial Intelligence-Applications in Healthcare Delivery, Routledge, 2020
• Introductory Chapter: Evaluation of Health Services, Evaluation of Health Services, IntechOpen, 2020, London
• Digital Health and the Divide, Understanding the Australian Healthcare System, Elsevier, 2019
• Use of Artificial Intelligence in Healthcare Delivery, E-Health, IntechOpen, 2018, London

• Towards better health care integration, The Health Leader, 2015, Sydney
• What influences our health?, Health Guru Magazine, 2010, New Zealand
• Asians are prone to fatal diseases, Indian News Link Magazine, 2009, New Zealand
• They need aid- NGO’s working for HIV prevention and treatment, Global Indian, 2007, New Zealand

• Using AI for medical diagnostics, AI Hospital Conference, 2021, Sydney
• How AI can be used to manage Dementia?, Dementia Care and Mental Health Forum, 2021, Australia
• Explainability of AI models: Why it matters in medicine and what is being done to address this?, Digital Health Institute Summit, 2020, Melbourne
• Explainability-A cornerstone for AI adoption in Medicine, Medical Intelligence Group Summit, 2020, California, USA
• Democratising evaluation through innovative approaches, Hawaii Pacific Evaluation Association, 2019, Honolulu, USA
• How to mitigate the risk in the application of AI in Healthcare: The critical importance of governance frameworks, AMSAH conference, 2019, Sydney
• Role of human clinicians in an intelligent health system, First Annual Conference on Artificial Intelligence in Healthcare, 2018, Dubai, UAE
• How should healthcare be delivered into the future?, Third Digital Hospital and Healthcare Innovations Summit, 2017, Melbourne
• Healthcare Management Education and Training, Community Doctors Annual Academic Conference, 2017, Hangzhou, China
• Evaluating complex phenomenon-do regular evaluation methodologies suffice?, SHAPE Symposium, 2015, Sydney
• How has hospital occupancy and patient demand influenced emergency department performance?, Health Management Research Alliance Conference, 2014, Gold Coast
• Delivering against odds-The West Coast Story: A population health approach to address health challenges, Public Health Association National Conference, 2008, Waitangi, New Zealand

• 2023, 2024, Lead Investigator, Adoption of AI in the Australian Healthcare System, Victoria, Australia
• 2019, 2021, Lead Investigator, Evaluation of Facial Recognition Technology in Pharmacies, Victoria, Australia
• 2017, 2018, Co-Lead Investigator, Evaluation of a CVD Screening Quality Intervention Program, Deakin University, Victoria
• 2015, 2017, Principal Researcher, Realist Evaluation of use of clinical guidelines in remote primary care context, Centre for Remote Health, Flinders University, South Australia
• 2015, 2017, Lead Researcher, Systematic Review, Do National Health Reforms improve access to emergency department and elective surgery?
• 2011, 2016, Principal Researcher, Realist Evaluation of a hospital program to meet national emergency department performance indicators, Flinders University, South Australia
• 2010, 2011, Principal Researcher, Barriers and opportunities associated with intersectoral collaboration in the context of long-term conditions program implementation in New Zealand, Massey University, New Zealand
• 2006, Principal Researcher, Antiretroviral medication price and other factors and their influence on ART coverage in post-conflict situations- an analysis, University of Copenhagen, Denmark

• 2023: iAge Health, Virtual Healthcare Clinical Governance Framework: $31,300
  Co-lead investigator, presenting an advanced evaluation framework for the assessment of the delivery of virtual healthcare services
• 2023: Western Alliance, Shared Medical Appointments: $33,400 (Internal Deakin Grant)
  Associate Investigator-Developed the evaluation framework to assess the efficacy of a share medical appointment trial in Western Victoria.
• 2022: Western Victorian Primary Health Network, Digital Health Strategy and Digital Health Literacy Project: $70,000
  Co-lead Investigator-Developed a de novo digital health maturity assessment framework for the primary healthcare sector: https://ahha.asn.au/sites/default/files/docs/policy-issue/perspectives_brief_no_26_digital_maturity_models_1.pdf
• § 2020: National Mental Health Commission, Evaluation of the Australian Mental Health Fellowship Program: $84,000
  Principal Investigator, completed evaluation of the AMH fellowship program including benchmarking it to similar programs.
• 2020: Barwon Health, A feasibility study into data linkage to examine youth mental health trends: $41,818
  Co-lead Investigator, working with fellow Deakin investigators in a data linkage project with Barwon Health and Victorian Government.
• 2019: Strong Room Technology, Evaluation of Facial Recognition Technology in Pharmacies: $9000
  Principal Investigator, evaluating the utility of FRT in community pharmacies for opiate replacement therapy and the scope for expansion of FRT for other pharmacy needs.
• 2019: Department of Health and Human Services, Victoria, Digital Health Capability Maturity Model Evaluation: $130,000.
  Principal Investigator leading a team of investigators to evaluate the utility of the Victorian Digital Health Maturity Framework for tertiary public hospitals.
• 2017: Kardinia Health, Geelong. Quality Improvement Initiative Evaluation: $30,000.
  Co-lead Investigator, contributing to the evaluation component for a primary care based chronic disease intervention project.
• 2015-2016: Australian Government, Remote Primary Health Care Manuals Evaluation: $705,068.
  Principal Investigator, leading a major evaluation project across three states for the Australian Government. The study results are published here: https://pubmed.ncbi.nlm.nih.gov/28544273/
• 2015-2016: NT Medicare Local, Tropical Health Orientation Manual Review: $45,000.
  Principal Investigator, organising the development and republication of the clinical guidelines for tropical disease.