Guided by Tronto’s (1993) ethic of care framework and Responsible Research and Innovation (RRI), this qualitative study focuses on the ways in which health innovation designers reason around care and responsibility and translate these notions into their work. The exploratory findings provide a novel empirical basis for scholars to conceptualize health innovation designers as ‘care-makers’ and to integrate designers within the care relationship alongside caregivers and care-receivers.

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.

The In Fieri team, in collaboration with OBVIA, developed a policy brief on AI and digital solutions. Using examples, it describes the four responsible innovation principles and clarifies pre-existing socioeconomic dynamics that condition the current development of these solutions as well as future trajectories. We offer guidance for public decision-makers and developers to help them shift towards a more responsible development of these innovations.

Lehoux, P., Alami, H., Mörch, C., Rivard, L., Oliveira, R.R., Silva, H.P. (2020). Can we innovate responsibly during a pandemic? Artificial intelligence, digital solutions and SARS-Cov-2.

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.

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.

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.