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The Emerging Features of Healthcare Supply Chain Resilience: Learning from a Pandemic.
Snowdon, Anne W; Saunders, Michael; Wright, Alexandra.
  • Snowdon AW; The scientific director and chief executive officer of Supply Chain Advancement Network in Health (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,
  • Saunders M; A postdoctoral fellow in SCAN Health at the University of Windsor in Windsor, ON. He can be reached by e-mail at michael.j.saunders@uwindsor.ca.
  • Wright A; was a research analyst in SCAN Health. She has a PhD in Health Services Research from the Dalla Lana School of Public Health at the University of Toronto in Toronto, ON.
Healthc Q ; 25(2): 44-53, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-2056420
ABSTRACT
The COVID-19 pandemic exposed significant fragilities in the configuration of global healthcare supply chains. This was felt acutely by citizens, patients and healthcare workers across Canada. As demand for critical medical products surged in Canada, and globally, provincial healthcare supply chain teams worked to rapidly stabilize their supply chains. These efforts indicate the emerging features of healthcare supply chain resilience. Results suggest that there are five emerging features (1) redundancy of supply inventory; (2) diversification of suppliers across geographies; (3) maturity of digital infrastructure to create transparency; (4) proactivity; and (5) equity of distribution to protect the lives of all.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Healthc Q Journal subject: Hospitals / Health Services Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Healthc Q Journal subject: Hospitals / Health Services Year: 2022 Document Type: Article