Introduction
MedicineInsight, developed by NPS MedicineWise, examines medicines use in Australian general practice. MedicineInsight uses technology to collect, store and analyse non-identifiable data from participating practices.
During the pilot phase of the program, a quality improvement (QI) model is being iteratively developed and tested. The aim of this model is to use real practice level data to: identify areas for improvement; create tailored QI plans; and implement activities to overcome specific practice change barriers experienced by individual practices.

Method
A review of current Australian and international best practice approaches to data informed QI was conducted. This included: consideration of relevant implementation and behaviour change theories; a literature review of implementation research; and targeted interviews with academic and GP experts.
A MedicineInsight QI model prototype was developed and piloted with participating practices (n=8) for acceptability and utility.

Results
Our review highlighted the importance of selecting activities based on needs of individual practices. This involves analysing the barriers to practice change and selecting activities to address the specific barriers. Real practice level data is the key to understanding practice gaps and highlighting areas for change.
Evaluation of the model prototype will be completed early 2014. Anecdotal observations have identified diverse practice change barriers (e.g. skills, social influences, environmental context).

Conclusion
This work continues to inform the development of a QI model enhanced by barrier analysis at the practice level. The model focuses on a staged approach and aims to: move practices from contemplation to action; identify the key barriers experienced by practices; provide activities to address barriers; and effectively use practice level data to drive change.