UNSTRUCTURED
Amid increasing healthcare demands and resource limitations, improving healthcare systems has become critical. Information-driven technologies, such as data analytics and artificial intelligence (AI), present an opportunity to inform and enhance healthcare delivery at various levels. However, there is a gap between the potential of these technologies and their implementation in routine practice. Bridging this gap requires coordinated action among diverse ecosystem stakeholders, including healthcare organizations, industry, academia, and regulatory bodies.
This viewpoint describes the importance of understanding the wider innovation ecosystem to increase the chances of successful introduction of new information-driven technologies in healthcare. We draw on ecosystem thinking and insights on intervening in complex systems that highlight key challenges and suggest areas of research and practice that need to be addressed in order to enhance innovative ecosystem’s ability to introduce new technologies and achieve improvements in care.
Adopting a structured approach to make the innovation ecosystem explicit can emphasise how the efficiency and effectiveness of innovation ecosystems in healthcare can be enhanced grounded in co-investigation and co-creation. Establishing a collaborative environment is deemed essential for fostering a shared understanding and collectively addressing systemic challenges. We not only identify challenges but proposes a roadmap for stakeholders to navigate the complex landscape of healthcare innovation seamlessly integrating information-driven technologies into routine healthcare practice.