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"Flying Blind": Canada's Supply Chain Infrastructure and the COVID-19 Pandemic.
Snowdon, Anne W; Forest, Pierre-Gerlier.
  • Snowdon AW; 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
  • Forest PG; 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 pgforest@ucalgary.ca.
Healthc Q ; 23(4): 12-16, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-1040178
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Equipment and Supplies / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans Country/Region as subject: North America Language: English Journal: Healthc Q Journal subject: Hospitals / Health Services Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Equipment and Supplies / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans Country/Region as subject: North America Language: English Journal: Healthc Q Journal subject: Hospitals / Health Services Year: 2021 Document Type: Article