BComp (Hons) PhD
|Contact Campus||Sandy Bay Campus|
|Telephone||+61 3 6226 7396|
Dr Bindoff began his academic career by designing and implementing artificial intelligence-based clinical decision support systems to detect and recommend resolutions for drug-related problems. He joined the Unit for Medication Outcomes Research and Education (UMORE) in 2009, where he has worked as a research fellow, encompassing roles including, but not limited to: technical specialist, software designer, software developer, data analyst, health economist, and project manager on a broad range of both translational research projects and teaching and learning initiatives within the School.
He has successfully supervised a number of PhD students exploring the nature and success of particular clinical interventions, undertaking health economics analyses of healthcare services, and exploring the nature and quality of clinical decision support services offered by a range of decision support systems.
Dr Bindoff teaches into the Bachelor of Pharmacy, covering aspects of statistics and health economics.He is also the lead researcher on a series of simulated learning development projects, which use 3D computer game-like simulated environments to train healthcare professionals. He led the development of a Community Pharmacy Simulator which is now used to train undergraduate Pharmacy students at both the University of Tasmania and the University of Newcastle, and is currently leading work towards developing a more generalist "flexible and extensible simulation platform for training healthcare professionals".
He is also the lead designer and developer of a significant online learning system and student management system that is utilised by the University of Tasmania to deliver a continuing education accreditation program to pharmaceutical representatives on the behalf of Medicines Australia.
Dr Bindoff's research interests include clinical decision support systems, particularly those with an artificial intelligence foundation, and those seeking to detect and resolve drug-related problems, health economics analyses (evaluating the incremental cost-effectiveness of clinical intervention programs, and using advanced techniques such as probabilistic sensitivity analysis), simulated learning environments & virtual worlds (development of game-like 3D computer-based learning environments to allow students to experience realistic professional scenarios in a safe and feedback rich environment) and quality use of medicines (including detecting drug-related problems, non-compliance, drug-drug interactions, over-use and under-use).
Authorised by the Associate Head, Pharmacy
24 July, 2015