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.

Comment inviting scholars to further the discussion on how the value of health innovations should be appraised in view of today’s societal challenges.

Lehoux, P., Silva, H.P. (2020). Transforming Disciplinary Traditions; Comment on “Problems and Promises of Health Technologies: The Role of Early Health Economic Modeling”, International Journal of Health Policy and Management.

This article examines how improving the quality of work and well-being of health care providers could help rethinking the implementation of EHRs and also other information technology-based tools and systems, while creating more value for patients, organizations and health systems.

Alami, H., Lehoux, P., Gagnon, MP., Fortin, JP., Fleet, R., Ag Ahmed MA. (2020). Rethinking the electronic health record through the quadruple aim: time to align its value with the health system, BMC Medical Informatics and Decision Making.

This article generate methodological insights into the way prospective public deliberative processes can stimulate the public’s moral imagination regarding what may (or may not) happen in the future and what should (or should not) happen in the future.

Lehoux, P., Miller, F.A., Williams-Jones, B. (2020). Anticipatory governance and moral imagination: Methodological insights from a scenario-based public deliberation study, Technological Forecasting and Social Change.

Responses to comments on our scoping review that identified the challenges that responsible innovation in health should seek to address.

Lehoux, P., Roncarolo, F., Silva, H.P., Boivin, A., Denis, J.-L., Hébert, R. (2020). Revisiting the relationship between systems of innovation and health systems: A response to recent commentaries, International Journal of Health Policy and Management.