@article {1291,
	title = {Connected Health Innovation:  Data Access Challenges in the Interface of AI Companies and Hospitals},
	volume = {9},
	year = {2019},
	month = {12/2019},
	pages = {43-55},
	publisher = {Talent First Network},
	chapter = {43},
	address = {Ottawa},
	abstract = {The purpose of this paper is to explore the challenges and potential solutions regarding data access for innovation in the realm of connected health. Theoretically, our study combines insights from data management and innovation network orchestration studies, taking thereby a new approach into issues that have emerged in these research streams. Empirically, we study these issues in the context of a development endeavor involving an AI-driven surgery journey solution in collaboration with hospitals and companies. Our study indicates that the challenges and solutions in data access can be categorised according to the level where they emerge: individual, organisational, and institutional. Depending on the level, the challenges require solutions to be searched from different categories. While solutions are generally still scarce, organizational level solutions seem The purpose of this paper is to explore the challenges and potential solutions regarding data access for innovation in the realm of connected health. Theoretically, our study combines insights from data management and innovation network orchestration studies, taking thereby a new approach into issues that have emerged in these research streams. Empirically, we study these issues in the context of a development endeavor involving an AI-driven surgery journey solution in collaboration with hospitals and companies. Our study indicates that the challenges and solutions in data access can be categorised according to the level where they emerge: individual, organisational, and institutional. Depending on the level, the challenges require solutions to be searched from different categories. While solutions are generally still scarce, organizational level solutions seem to hold wide-ranging potential in addressing many challenges. By discussing these dynamics, this paper provides new knowledge for academics and practitioners on the challenges and solutions for data access and management in networked contexts. The greatest challenges among healthcare providers and health technology companies lay on uncertainties and interpretations concerning regulation, data strategy, and guidelines. Creating guidelines for data use and access in a hospital can be a first step to creating connected health innovations in collaboration with AI companies. For their part, these companies need to put effort into gaining in-depth knowledge and understanding of the processes and standards in healthcare context. Our paper is one of the first to combine data management and innovation network orchestration literatures, and to provide empirical evidence on data access related issues in this setting.to hold wide-ranging potential in addressing many challenges. By discussing these dynamics, this paper provides new knowledge for academics and practitioners on the challenges and solutions for data access and management in networked contexts. The greatest challenges among healthcare providers and health technology companies lay on uncertainties and interpretations concerning regulation, data strategy, and guidelines. Creating guidelines for data use and access in a hospital can be a first step to creating connected health innovations in collaboration with AI companies. For their part, these companies need to put effort into gaining in-depth knowledge and understanding of the processes and standards in healthcare context. Our paper is one of the first to combine data management and innovation network orchestration literatures, and to provide empirical evidence on data access related issues in this setting.},
	keywords = {artificial intelligence, connected health, Data access, data management, governance, information mobility, innovation, orchestration, patient- centered},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1291},
	url = {timreview.ca/article/1291},
	author = {Laura Kemppainen and Minna Pikkarainen and Pia Hurmelinna-Laukkanen and Jarmo Reponen}
}
@article {1104,
	title = {Orchestration Roles to Facilitate Networked Innovation in a Healthcare Ecosystem},
	journal = {Technology Innovation Management Review},
	volume = {7},
	year = {2017},
	month = {09/2017},
	pages = {30-43},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {This study examines orchestration roles in a networked innovation context characterized by significant transformation. In particular, an exploratory case study approach is taken to study the roles of innovation network orchestrators and their actions to facilitate networked activities in different phases of the innovation process. The context of the case study, a healthcare ecosystem that aims to co-create technological innovations to support the pediatric surgery journey, provides valuable insights about orchestration and adds knowledge on specific limitations set by the orchestrator-specific and context-related issues in a professional context. The findings of this study highlight the need for careful coordination that allows shared understanding of the goals of the orchestration process and achievable innovation implementations. It is shown that parallel, evolving, and even changing orchestrator roles are needed in complex networked innovation settings. },
	keywords = {case study, exploratory approach, healthcare ecosystem, high-level experts, innovation orchestration, roles},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1104},
	url = {http://timreview.ca/article/1104},
	author = {Minna Pikkarainen and Mari Ervasti and Pia Hurmelinna-Laukkanen and Satu N{\"a}tti}
}
