References
The innovation pathway model at the heart of this site, three overlapping communities (business, research, healthcare) and a six-phase journey from ideation to adoption, was developed by Dr. Matthew Bromwich and validated through peer-reviewed health services research at Carleton University, building on the foundational innovation literature below.
The pathway model
- 1.Bromwich, M. (2024). Institutional support for health technology innovation programs: Health services research. Carleton University (M.Ent). Prospective observational study across nine pediatric healthcare institutions; defines the six-phase innovation pathway across the healthcare, research and business communities.
- 2.Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). The Free Press.
- 3.Goldsmith, H. R. The Goldsmith Technology Commercialization Model (TechVenture): a three-phase, six-stage, 18-step framework across technical, market and business tracks. Nebraska Business Development Center, University of Nebraska at Omaha. nbdc.unomaha.edu/technology-commercialization/techventure
The commercialization gap
- 4.Bégin, M., Eggertson, L., & Macdonald, N. (2009). A country of perpetual pilot projects. Canadian Medical Association Journal, 180(12), 1185.
- 5.Seyhan, A. A. (2019). Lost in translation: the valley of death across preclinical and clinical divide. Translational Medicine Communications, 4(1), 1–19.
- 6.Naylor, D., Jenkins, T., Girard, F., Power, C., Fraser, N., & Mintz, J. M. (2015). Unleashing Innovation: Excellent Healthcare for Canada. Government of Canada, Advisory Panel on Healthcare Innovation.
- 7.Castellion, G., & Markham, S. K. (2013). New product failure rates: influence of argumentum ad populum and self-interest. Journal of Product Innovation Management, 30(5), 976–979.
- 8.Jolly, V. (1997). Commercializing New Technologies: Getting from Mind to Market. Harvard Business School Press.
- 9.Kirchberger, M. A., & Pohl, L. (2016). Technology commercialization: a literature review of success factors and antecedents across different contexts. Journal of Technology Transfer, 41(5), 1077–1112.
Ecosystems and adoption
- 10.Adner, R. (2006). Match your innovation strategy to your innovation ecosystem. Harvard Business Review, 84(4), 98–107.
- 11.Granstrand, O., & Holgersson, M. (2020). Innovation ecosystems: a conceptual review and a new definition. Technovation, 90–91, 102098.
- 12.Dougherty, D. (1992). Interpretive barriers to successful product innovation in large firms. Organization Science, 3(2), 179–202.
- 13.Isenberg, D. (2010). How to start an entrepreneurial revolution. Harvard Business Review, 88(6), 40–50.
Physician time, burden and adoption
- 14.Canadian Medical Association & Canadian Federation of Independent Business. (2026). Losing doctors to desk work. CMA Digital Library.
- 15.Canadian Medical Association. (2026). Administrative burden is driving physician burnout, and puts access to care at risk. cma.ca
- 16.Enabling health technology innovation in Canada: barriers and facilitators in policy and regulatory processes. Health Policy.
- 17.CAN Health Network. (2026). Commercialization and adoption partnerships with Mohawk Medbuy and HealthPRO Canada.
The economic case
- 18.CORE Innovation. (2026). Canadian Health Innovation Ecosystem Scan — 288 enabler organizations mapped across a seven-stage continuum from discovery to procurement. CORE Innovation program research.
- 19.Innovation, Science and Economic Development Canada. Medical Devices Industry Profile (trade data to 2024): imports $14B, exports $5.5B, deficit $8.5B.
- 20.Information Technology and Innovation Foundation. (2026). Commercializing Canadian Health Research: Targeting Grants, Increasing Investment (analysis of 10,698 CIHR grants, 2009–2024).
- 21.Canadian Intellectual Property Office / Innovation, Science and Economic Development Canada. IP Canada Report 2025.
- 22.Government of Canada. (2023). News release: FedDev Ontario invests in new health solutions (8-80 Collaborative, $4.5M), November 2023.
Several statistics elsewhere on this site (companies engaged, exits, network reach) are CORE Innovation program data.