Research Policy

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Seen as professional intermediaries, procurement offices affect innovation: they shape the valuation of goods and the markets through which they are exchanged. Yet procurement offices seem largely incidental to the innovation efforts of others. In this article, the authors argue that enhancing the capacities of procurement offices can support responsive innovation.

Miller, A. F., Lehoux, P. (2020). The innovation impacts of public procurement offices: The case of healthcare procurement, Research Policy.

Cadernos de Saúde Pública

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COVID-19. The speed with which solutions have been developed and made available to the population in Latin America raises an important set of ethical, legal, social, economic, and environmental questions. In this paper we discuss how the perspective of Responsible Innovation in Health (RIH) provides important elements for answering these questions.

Silva, H. P., Oliveira, R.R.,  Pozelli Sabio, R., Lehoux, P. (2020). Fostering the common good in times of COVID-19: the Responsible Innovation in Health perspective, Cadernos de Saúde Pública.

Journal of Health Organization and Management

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An important step to ensure the successful integration of AI and avoid unnecessary investments and costly failures, better consideration should be given to: 1) needs and added-value assessment; 2) workplace readiness: stakeholder acceptance and engagement; 3) technology-organization alignment assessment; and 4) business plan: financing and investments. Decision-makers and technology promoters should better address the complexity of AI and understand the systemic challenges raised by its implementation in healthcare organizations and systems.

Alami, H., Lehoux, P., Denis, JL., Motulsky, A., Petitgrand, C., Savoldelli, M., Rouquet, R., Gagnon, MP., Roy, D., Fortin, JP. (2020). Organizational readiness for artificial intelligence in health care: Insights for decision-making and practice. Journal of Health Organization and Management.

Globalization and Health

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Most AI-based health applications are developed and implemented in high-income countries, their use in Low- and Middle-Income Countries (LMICs) contexts is recent and there is a lack of robust local evaluations to guide decision-making in low-resource settings. After discussing the potential benefits as well as the risks and challenges raised by AI-based health care, this paper proposes five building blocks to guide the development and implementation of more responsible, sustainable, and inclusive AI health care technologies in LMICs.

Alami, H., Rivard, L., Lehoux, P., Hoffman, S. J., Cadeddu, SBM., Savoldelli, M., Samri, MA., Ag Ahmed, MA., Fleet, R., Fortin, JP. (2020). Artificial intelligence in health care: Laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries. Globalization and Health. 16(1): 52.

International Journal of Health Policy and Management

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By confirming key aspects of the RIH Tool’s reliability and applicability, our study brings its development to completion. It can be jointly put into action by innovation stakeholders who want to foster innovations with greater social, economic and environmental value.

Silva, H.P., Lefebvre, A.-A., Rocha, R.O., Lehoux, P. (2020). Fostering Responsible Innovation in Health: An evidence-informed assessment tool for decision-makers, International Journal of Health Policy and Management.