With the aging population and increase in chronic disease conditions, innovation to transform treatment pathways and service delivery will be necessary. The innovation adoption process however, can take 15 years before widespread adoption occurs in most healthcare systems. Current UK government policies to increase the facilitation of innovation adoption are under way. The aim of this study is to explore perceptions of tri-sectoral collaborations in the healthcare sector. The data in the study are drawn from a cross-sectional survey conducted in 2015 of professionals in academia, industry and the healthcare sectors in England, focusing on Diabetes care. Academia and healthcare respondents had the least work experience outside of their sectors compared to the industry respondents. Healthcare and academia respondents rated the industry sector less trustworthy, unethical, having different goals and less understanding of the other sectors. Industry respondents had a more positive perspective towards potential collaborators. The results from the study demonstrate greater potential challenges to tri-sectoral collaborations and the government's knowledge translation policy, due to pre-conceived notions and lack of understanding of other sectors. The purely structural approach of establishing government mandated translational networks may be insufficient without active attempts to improve collaborative relationships. Mechanisms to facilitate trust building and collaboration are proposed.
Background Internet of Things (IoT) innovations such as wearables and sensors promise improved health outcomes and service efficiencies. Yet, most applications remain experimental with little routine use in health and care settings. We sought to examine the multiple interacting influences on IoT implementation, spread and scale-up, including the role of regional innovation ‘ecosystems’ and the impact of the COVID-19 context. Methods Qualitative study involving 20 participants with clinical, entrepreneurial and broader innovation experience in 18 in-depth interviews, focusing primarily on heart monitoring and assistive technology applications. Data analysis was informed by the NASSS (non-adoption, abandonment, scale-up, spread, sustainability) framework. Results Interviewees discussed multiple tensions and trade-offs, including lack of organisational capacity for routine IoT use, limited ability to receive and interpret data, complex procurement and governance processes, and risk of health disparities and inequalities without system support and funding. Although the pandemic highlighted opportunities for IoT use, it was unclear whether these would be sustained, with framings of innovation as ‘disruption’ coming at odds with immediate needs in healthcare settings. Even in an ‘ecosystem’ with strong presence of academic and research institutions, support was viewed as limited, with impressions of siloed working, conflicting agendas, fragmentation and lack of collaboration opportunities. Conclusions IoT development, implementation and roll-out require support from multiple ecosystem actors to be able to articulate a value proposition beyond experimental or small-scale applications. In contexts where clinical, academic and commercial worlds collide, sustained effort is needed to align needs, priorities and motives, and to strengthen potential for good value IoT innovation.
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