Using big data to reduce inappropriate medication use
Description: Potentially inappropriate medication use both increases patient harm and wastes considerable health resources. However methods for measuring patterns of use are not well developed nor utilised in policy. This research will measure the scope, variation and burden of potentially inappropriate medication use in Australia. My unique combination of biostatistical, data and policy expertise will enable this research to create new actionable tools for evaluating the Australian healthcare system.
Amount: A$323,000
Funding type: fellowship
Funder scheme: Early Career Fellowships (Australia) - Public Health (Australia) ECF
Start date: 2018-01-01
End date: 2021-12-31
Investigator: Michael Falster
Institution: University of New South Wales
Funded outputs count: 20
Funder award ID: 1139133
OpenAlex ID: G2397064679