Navigating the Systemic Conditions of a Digital Health Ecosystem in Alberta, copyright: Embedded Case Study
Navigating the Systemic Conditions of a Digital Health Ecosystem in Alberta, copyright: Embedded Case Study
Blog Article
BackgroundDigital health promises numerous value-creating outcomes.These include improved health, reduced costs, and the creation of lucrative markets, which, in turn, provide high-quality employment, productivity growth, and a climate that attracts investment.For this value creation and capture, the activities of a diverse set of stakeholders within a digital health ecosystem require coordination.However, the antecedents of the coordination needed for an effective digital health ecosystem are not well understood.ObjectiveThe purpose of this study was to investigate the systemic conditions of the digital health ecosystem in Alberta, copyright, as critical antecedents to ecosystem coordination from the perspective of the authors as applicants to an innovative digital health funding program embedded within the larger digital health ecosystem of innovators or entrepreneurs, health system leaders, support partners, and funders.
MethodsWe employed a qualitative embedded case study of the systemic conditions within the digital health Feline Stool-Associated Circular DNA Virus (FeSCV) in Diarrheic Cats in China ecosystem in Alberta, copyright (main case) using semistructured interviews with 36 stakeholders representing innovators or entrepreneurs, health system leaders, support partners, and funders (subcases).The interviews were conducted over a 2-month period between May 26 and July 22, 2021.Data were coded for key themes and synthesized around 5 propositions developed from academic publications and policy reports.ResultsThe findings indicated varying levels of support for each proposition, with moderate support for accessing real problems, data, training, and space for evaluations.However, the most fundamental gap appears to be in ecosystem navigation, in particular, the absence of intermediaries (eg, individuals, organizations, and technology) to provide guidance on the available support services and dependencies among the various ecosystem actors and programs.
ConclusionsNavigating the systemic conditions of the digital health ecosystem is extremely challenging for entrepreneurs, especially Carbon storage simulation and analysis in Beijing-Tianjin-Hebei region based on CA-plus model under dual-carbon background those without prior health care experience, and this remains an issue even for those with such experience.Policy interventions aimed at increasing collaboration among ecosystem support providers, along with tools and incentives to ensure coordination, are essential as the ecosystem and those dependent on it grow.