Development and validation of the Adverse Inpatient Medication
Event Model
(AIME)
Running title: The Adverse Inpatient Medication Event Model (AIME) Study
Nazanin Falconera,b,c*, BPharm, Dip Grad Medical Ethics, PhD, Research
Fellow, The University of Queensland, Research Pharmacist Princess
Alexandra Hospital
Michael Barras a,b, BPharm, Grad Dip Clin Pharm, PhD,
Associate Professor School of Pharmacy, The University of Queensland,
Director of Pharmacy, Princess Alexandra Hospital
Ahmad Abdel-Hafizb, BDS, MDS, PhD, Principal Data
Analyst, Clinical Informatics, Princes Alexandra Hospital
Sam Radburnb, Principal Data Analyst, Clinical
Informatics, Princes Alexandra Hospital
Neil Cottrell a,d, BSc (Hons), MSc, PhD. Associate
Professor School of Pharmacy, Director of Interprofessional Education,
The University of Queensland
a School of Pharmacy, Pharmacy Australia Centre of Excellence, The
University of Queensland, Brisbane, QLD 4102, Australia
b Princess Alexandra Hospital,
Metro South Health, Brisbane, QLD 4102, Australia
c Centre for Health Services Research, Faculty of Medicine, The
University of Queensland, The University of Queensland, Brisbane, QLD
4102, Australia
d Faculty of Health and Interprofessional Sciences, The University of
Queensland, Brisbane, QLD 4102, Australia
*Corresponding Author: Nazanin Falconer, Pharmacy Australia Centre of
Excellence (PACE), The University of Queensland, 20 Cornwall Street,
Woolloongabba, Brisbane, QLD 4102, AUSTRALIA Cell Phone +614 1234 2551
Email
n.falconer@uq.net.au
Key words: predictive risk model, risk prediction, medication harm,
adverse drug events, adverse drug reactions, clinical pharmacy, clinical
pharmacology
Word count summary: 250
Word count: (excludes tables and figures): 3968