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Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case study.
Harish, Vinyas; Samson, Thomas G; Diemert, Lori; Tuite, Ashleigh; Mamdani, Muhammad; Khan, Kamran; McGahan, Anita; Shaw, James A; Das, Sunit; Rosella, Laura C.
  • Harish V; MD/PhD Program, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
  • Samson TG; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
  • Diemert L; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
  • Tuite A; Vector Institute for Artificial Intelligence, Toronto, Canada.
  • Mamdani M; Schwartz Reisman Institute for Technology and Society, Toronto, Canada.
  • Khan K; Ethics of AI Lab, Centre for Ethics, University of Toronto, Toronto, Canada.
  • McGahan A; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
  • Shaw JA; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
  • Das S; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
  • Rosella LC; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
PLOS Digit Health ; 1(12): e0000164, 2022 Dec.
Artigo em Inglês | MEDLINE | ID: covidwho-2196812
ABSTRACT
Cross-sector partnerships are vital for maintaining resilient health systems; however, few studies have sought to empirically assess the barriers and enablers of effective and responsible partnerships during public health emergencies. Through a qualitative, multiple case study, we analyzed 210 documents and conducted 26 interviews with stakeholders in three real-world partnerships between Canadian health organizations and private technology startups during the COVID-19 pandemic. The three partnerships involved 1) deploying a virtual care platform to care for COVID-19 patients at one hospital, 2) deploying a secure messaging platform for physicians at another hospital, and 3) using data science to support a public health organization. Our results demonstrate that a public health emergency created time and resource pressures throughout a partnership. Given these constraints, early and sustained alignment on the core problem was critical for success. Moreover, governance processes designed for normal operations, such as procurement, were triaged and streamlined. Social learning, or the process of learning from observing others, offset some time and resource pressures. Social learning took many forms ranging from informal conversations between individuals at peer organisations (e.g., hospital chief information officers) to standing meetings at the local university's city-wide COVID-19 response table. We also found that startups' flexibility and understanding of the local context enabled them to play a highly valuable role in emergency response. However, pandemic fueled "hypergrowth" created risks for startups, such as introducing opportunities for deviation away from their core value proposition. Finally, we found each partnership navigated intense workloads, burnout, and personnel turnover through the pandemic. Strong partnerships required healthy, motivated teams. Visibility into and engagement in partnership governance, belief in partnership impact, and strong emotional intelligence in managers promoted team well-being. Taken together, these findings can help to bridge the theory-to-practice gap and guide effective cross-sector partnerships during public health emergencies.

Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Tipo de estudo: Relato de caso / Estudo prognóstico / Pesquisa qualitativa / Ensaios controlados aleatorizados Idioma: Inglês Revista: PLOS Digit Health Ano de publicação: 2022 Tipo de documento: Artigo País de afiliação: Journal.pdig.0000164

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Tipo de estudo: Relato de caso / Estudo prognóstico / Pesquisa qualitativa / Ensaios controlados aleatorizados Idioma: Inglês Revista: PLOS Digit Health Ano de publicação: 2022 Tipo de documento: Artigo País de afiliação: Journal.pdig.0000164