Dr Mohammed Mohammed is a Senior Lecturer in Clinical Pharmacy Practice at the School of Pharmacy, University of Auckland. He completed his PhD at the University of Sydney, where his doctoral research pioneered a person-centred method to optimise medicines use and improve outcomes for people with long-term conditions. Prior to joining the University of Auckland, Mohammed taught at the University of Sydney and several overseas universities, building a strong foundation in clinical pharmacy practice and education.  

Mohammed’s research sits at the intersection of digital health, health services, and outcomes research. His work focuses on optimising the quality use of medicines and improving outcomes for populations at higher risk of medication-related burden and harm—particularly older adults and people with multimorbidity and polypharmacy. He integrates patient perspectives with clinical data and rigorous outcome measurement to characterise treatment burden, develop strategies to mitigate medication-related harm, and improve patient outcomes and quality of life.

Mohammed’s research leverages large-scale survey data and routinely collected health data—including electronic health records and other administrative and clinical datasets—to generate real-world evidence on medicines use and outcomes. Methodologically, his work employs advanced analytical methods spanning machine learning, predictive modelling, measurement science, and psychometrics—complemented by qualitative and mixed-methods research to identify patterns of medication-related risk and harm, evaluate outcomes, and inform safer and appropriate use of medicines.

Mohammed has extensive experience in developing, evaluating, and implementing clinical tools and patient-centred measures. In collaboration with local and international partners, he led the development of a patient-reported measure of medicines burden on functioning and wellbeing (MRB-QoL). The MRB-QoL has been adapted into German and Arabic, and implemented in clinical practice and medicines optimisation/deprescribing research across multiple health care settings in more than 10 countries. More recently, Mohammed has led the development of digital tools to reduce medication burden and treatment-regimen complexity, and support personalised (de)prescribing. 

Mohammed currently leads a funded research programme developing  AI-enabled digital tool to guide safer medicines use and support personalised deprescribing in older adults. He is also involved in a broad portfolio of national and international collaborative projects focusing on medicines use optimisation and health outcomes.