University of Oulu

Kemppainen, L., Pikkarainen, M., Hurmelinna-Laukkanen, P., & Reponen, J. 2019. Connected Health Innovation: Data Access Challenges in the Interface of AI Companies and Hospitals. Technology Innovation Management Review. http://doi.org/10.22215/timreview/1291, Ottawa: Talent First Network

Connected health innovation : data access challenges in the Interface of AI companies and hospitals

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Author: Kemppainen, Laura1; Pikkarainen, Minna1,2; Hurmelinna-Laukkanen, Pia1;
Organizations: 1University of Oulu
2VTT Technical Research Centre
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202004019998
Language: English
Published: Carleton University, 2019
Publish Date: 2020-04-01
Description:

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.

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Series: Technology innovation management review
ISSN: 1927-0321
ISSN-E: 1927-0321
ISSN-L: 1927-0321
Volume: 9
Issue: 12
Pages: 43 - 55
DOI: 10.22215/timreview/1291
OADOI: https://oadoi.org/10.22215/timreview/1291
Type of Publication: A1 Journal article – refereed
Field of Science: 217 Medical engineering
511 Economics
113 Computer and information sciences
Subjects:
Copyright information: © 2019 The Authors. Creative Commons Attribution 3.0 Unported License.
  https://creativecommons.org/licenses/by/3.0/