Abstract
As a new personalized health care system is emerging, old roles, rules, and positions gradually decrease in influence and a new constellation of power emerges. To provide a better understanding of possible sources of social and economic value and distribution of surpluses, we find it necessary to map this emerging system. The purpose of this paper is to detect technology development paths and help regulators in the process of designing instruments that will guide the institutionalization of personalized medicine into a socially beneficent, as well as economically sustainable health care model.
Models are conceptual representatives of complex ideas or systems. As such, they carry more or less explanatory power. The same holds true for business models. Essentially, our design of a business model represents a description of (dynamic) power relations that may evolve in the personalized medicine sector. Actors considered in our design are theĀ medical and the pharmaceutical sector, theĀ insurance industry, the IT industry, educators, regulatory institutions, agencies and bodies, NGO-s, etc.
The paper starts by identifying the meaning, dynamics, and economic implications of personalized medicine. Further on, the authors provide a list of relevant stakeholders, analyze their roles and changing power positions.
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Notes
- 1.
Juengst et al. (2012).
- 2.
Schork (2015).
- 3.
A biomarker is a naturally occurring molecule, gene, or characteristic biological property that can be detected and measured in parts of the body (blood, tissue, etc.) and by which a particular pathological or psychological process, including disease, can be identified. It is a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacological responses to a therapeutic intervention (National Institute of Health Biomarkers 1998).
- 4.
EC Health Research Directorate (2010).
- 5.
Schork (2015).
- 6.
WHO (2017).
- 7.
Juengst et al. (2012).
- 8.
Berwick (2003).
- 9.
Fleming et al. (2015).
- 10.
Reed Smith LLP Report (2016).
- 11.
Reed Smith LLP Report (2016).
- 12.
Staton (2014).
- 13.
Abrahams and Eck (2016).
- 14.
Reed Smith LLP ReportĀ (2016).
- 15.
Aspinall and Hamermesh (2007).
- 16.
Abrahams and Eck (2016).
- 17.
WHO data (2017).
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Mrak, M.K., Sokolic, D. (2019). Evolution Paths of Business Models in Personalized Medicine. In: Bodiroga-Vukobrat, N., Rukavina, D., PaveliÄ, K., Sander, G.G. (eds) Personalized Medicine in Healthcare Systems. Europeanization and Globalization, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-030-16465-2_12
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