The scientific director and chief executive officer of SCAN Health, an International Knowledge Translation Platform that engages health system leaders and supply chain experts to advance global capacity to adopt and scale best practices in the healthcare supply chain to offer traceability of products and care processes from bench to bedside to patient outcomes. She is a full professor of Strategy and Entrepreneurship at the Odette School of Business, University of Windsor in Windsor, ON. She can be reached by e-mail at
A professor of community health sciences and the director of the School of Public Policy at the University of Calgary in Calgary, AB, where he also holds the James S. and Barbara A. Palmer Chair in Public Policy. Before joining the University of Calgary in 2016, he served as director of the Institute for Health and Social Policy, Bloomberg School of Public Health at Johns Hopkins University. He can be reached by e-mail at
Healthc Q. 2021 Jan;23(4):12-16. doi: 10.12927/hcq.2020.26399.
Canada's COVID-19 response has been described as slow, with reactive decision making that has left the most vulnerable populations at risk of infection and death from the virus. Yet, within and across the provincial health systems, the supply chain processes and data infrastructure needed to generate the relevant data for, and evidence of, the spread of COVID-19 and the health system's capacity to respond to the pandemic are non-existent in Canada. Emerging evidence from a national research study highlights the significance of supply chain data infrastructure and processes that offer transparent, real-time data to inform decisions that support a coordinated, evidence-informed pandemic strategy that is proactive and capable of protecting the health of every Canadian.
加拿大的 COVID-19 应对措施被描述为缓慢的,其决策是被动的,这使得最脆弱的人群面临感染和死于该病毒的风险。然而,在省级卫生系统内部和之间,用于生成 COVID-19 传播的相关数据以及证据,以及卫生系统应对大流行的能力的供应链流程和数据基础设施在加拿大是不存在的。一项全国性研究的新证据强调了供应链数据基础设施和流程的重要性,这些流程和基础设施提供透明、实时的数据,为支持协调、基于证据的大流行策略提供信息,该策略具有前瞻性,能够保护每个加拿大人的健康。