Lysanne Rivard

Université de Montréal | UdeM · Center for Public Health Research

This book pursues two objectives. The first is to introduce the field of Responsible Innovation in Health (RIH) by clarifying its theoretical foundations and the practical approaches that enable the design and production of responsible medical devices, health and social care interventions, digital tools and solutions based on Artificial Intelligenc...

Background: Digital health solutions that operate with or without artificial intelligence (D/AI) raise several responsibility challenges. Though many frameworks and tools have been developed, determining what principles should be translated into practice remains under debate. This scoping review aims to provide policymakers with a rigorous body of...

With a grasp on the Responsible Innovation in Health (RIH) concepts and your design assumptions teased out with the Responsible Design Compass, you and your team are now ready to work with the RIH design brief covered in Chaps. 3, 4, and 5. After brief instructions on how to work with the design brief, we explain how to generate a responsible healt...

This chapter describes how the Responsible Innovation in Health (RIH) Assessment Tool supports a rigorous assessment of a health innovation’s degree of responsibility. We begin by explaining why we developed this tool and how it differs from existing Responsible Research and Innovation (RRI) evaluation tools. We summarize the stepwise process of it...

After covering the responsibility characteristics of your venture, you are now ready to design a responsible solution by integrating three Responsible Innovation in Health (RIH) attributes—Frugality; Eco-responsibility; and Ethical, legal, and social issues (ELSIs). We start this chapter by describing how frugality characteristics may increase the...

This chapter reviews the ways in which “intermediating platforms” (innovation hubs, incubators, accelerators, living labs, and technology transfer offices) can orchestrate Responsible Innovation in Health (RIH) by working with the concepts and tools described in Parts I and II of the book. We turn our attention to the key role played by innovation...

To get you and your team started to make Responsible Innovation in Health (RIH), this chapter clarifies the definition of RIH and presents the conceptual framework, which comprises the five value domains and nine responsibility attributes briefly introduced in Chap. 1. Then, we invite you and your team to work with our Responsible Design Compass, a...

Wrapping up with the way the COVID-19 pandemic exemplifies why health innovators’ creativity and problem-solving skills are pivotal to making health and social care more equitable and sustainable, we summarize in this last chapter our aims of writing this book. We also invite health innovators to fully embrace their role as influential “care-makers...

This chapter explains why increasing responsibility in the health innovation industry cannot rely solely on individual innovators’ shoulders. For Responsible Innovation in Health (RIH) to flourish, responsible innovators must be able to find and work with multiple allies. We thus review the drivers and obstacles that are found in the health and soc...

This chapter describes innovation design tools and approaches to equip teams as they set out to make a responsible health innovation. We begin by explaining why and how, with the input of health innovation researchers and practitioners, we put together a toolbox that draws from different disciplines and areas of expertise. Then, we present 15 tools...

After generating a responsible health innovation idea, you and your team can flesh out the responsibility characteristics of your venture. Toward this end, this chapter is organized around two Responsible Innovation in Health (RIH) attributes: Inclusiveness and Business model. We begin by describing the importance of mobilizing at an early stage re...

After setting your nine responsibility objectives with the Responsible Innovation in Health (RIH) design brief (Chaps. 3, 4, and 5) and looking for tools and approaches that can help you meet them with the RIH toolbox (Chap. 6), the next step in the path to RIH is to bring it all together by making strategic design decisions. In this chapter, we he...

This article explores how health innovation designers articulate care and responsibility when designing new health technologies. Towards this end, we draw on Tronto’s ethic of care framework and Responsible Research and Innovation (RRI) scholarship to analyse interviews with Canadian health innovators (n ¼ 31). Our findings clarify how respondents:...

Responsible Research and Innovation (RRI) scholars have explored how businesses perceive the goals and processes of RRI and have developed tools to enable entrepreneurs to integrate such principles into their practices. While these tools often adopt a formative approach and may include measurable self-assessment indicators, external assessment appr...

Background Developing a digital health innovation can require a substantial amount of financial and human resource investment before it can be scaled for implementation across geographical, cultural, and health care contexts. As such, there is an increased interest in leveraging eHealth innovations developed and tested in one country or jurisdictio...

Background: Open do-it- yourself (DIY) health innovations raise new dilemmas for patient-oriented and service-oriented scholars and healthcare providers. Our study aimed to generate practical insights into quality and safety issues to patient care raised by two volunteer-run, open DIY solutions: Nightscout Project (patient-driven, open-source softw...

While the transition toward digitalized health care and service delivery challenges many publicly and privately funded health systems, patients are already producing a phenomenal amount of data on their health and lifestyle through their personal use of mobile technologies. To extract value from such user-generated data, a new insurance model is em...

The World Health Organization and other institutions are considering Artificial Intelligence (AI) as a technology that can potentially address some health system gaps, especially the reduction of global health inequalities in low- and middle-income countries (LMICs). However, because most AI-based health applications are developed and implemented i...

A policy brief for public decision-makers and developers of AI and digital solutions: "As de confinement begins, the potential for artificial intelligence (AI) and digital solutions to accelerate the fight against COVID-19 is increasingly debated. Despite promises and hopes, one may wonder whether the required conditions for innovating responsibl...

Note à l’intention des décideurs publics et développeurs de solutions fondées sur l’IA et le numérique : "Alors que le déconfinement s’amorce, le potentiel de l’intelligence artificielle (IA) et des outils numériques pour accélérer la lutte contre la COVID-19 est de plus en plus débattu. En dépit des promesses et des espoirs, une question urgente...

Objectives: The healthcare sector lags behind other industries in efforts to reduce its environmental footprint. This study aims to better understand how those who design new health technologies (devices, technical aids and information technologies) perceive and address environmental considerations in their practice. Methods: We conducted in-depth...

While the conceptual foundations of Responsible Research and Innovation (RRI) were consolidated in the past decades, the practice of RRI remains poorly understood. The goal of our study was to gather the practical insights of professionals who design, develop and commercialize health innovations. We invited Canadian engineers, industrial designers,...

Background: eHealth interventions have the potential to address challenges related to access, service engagement, and continuity of care in the delivery of mental health services. However, the initial development and evaluation of such interventions can require substantive amounts of financial and human resource investments to bring them to scale....

This paper presents a critical analysis, from the point of view of a statistician, of the methodology used by Hattie in Visible Learning, and explains why it must absolutely be called pseudoscience. We first discuss what appears to be the intentions of Hattie’s approach. Then we describe the major mistakes in Visible Learning before reviewing the s...

Background Information and communication technologies (ICTs) are increasingly recognized as having an important role in the delivery of mental health services for youth. Recent studies have evaluated young people’s access and use of technology, as well as their perspectives on using technology to receive mental health information, services, and sup...

Through two case studies, this paper evaluates the value of the feminist visual methodology Photovoice as an interactive consultation tool with rural Rwandan women working in agriculture. This exploratory study suggests that it is possible, through an adapted Photovoice process, to engage and empower women in the production of information about wha...