Identifying Data Analytics Capability for Canadian Community Pharmacy Error Reporting

Safe community pharmacy practice involves highly complex decision making in high-risk, high reliability situations (Zhao & Olivera, 2006). Even before the COVID-19 pandemic, regulatory safety initiatives for Canadian community pharmacies have been rapidly evolving throughout the last decade and now feature requirements for expanding pharmacy offerings, implementing on-line error reporting, assessing quality improvement analytics, and incorporating comprehensive safety enhancement practices (Mossialos et al., 2015). However, though safety measures such as mandatory Medication Incident (MI) reporting continue to be implemented across Canada, there has been no research conducted on the data collected through these processes. In partnership with Pharmapod Ltd, our research will utilize in-kind data collected from Community Pharmacies. This is the first time these data sets will be used in a research product and will facilitate the sharing of enhanced safety practices and data analytics methods more broadly across Canada, which will increase the capacity of all pharmacies to meet these evolving and escalating demands for patient safety. The proposed research will fund a student contribute to a ‘first of its kind’ analysis as a means to enhance the knowledge translation of the actionable learnings from the Pharmapod data.

Faculty Supervisor:

Benoit A Aubert;James R Barker

Student:

Partner:

Pharmapod Ltd

Discipline:

Business

Sector:

Manufacturing

University:

HEC Montréal

Program: