To What Extent Can Digital Health Technologies Comply With the Principles of Responsible Innovation? Practice-and Policy-Oriented Research Insights Regarding an Organisational and Systemic Issue.

Background: Digital health technologies (DHTs) have expanded exponentially since the COVID-19 crisis and have prompted questions about their impact across all levels of health systems. Because health organisations and systems play a central role in the success or failure of the transition to more equitable and sustainable societies, the concept of Responsible Innovation in Health (RIH), focused on aligning the processes and outcomes of innovation with societal values, is gaining interest in research, policy, and practice. This study aims to explore enablers and constraints to the development, procurement and/or utilisation of responsible DHTs in health organisations.

Understanding the integration of artificial intelligence in healthcare organisations and systems through the NASSS framework: a qualitative study in a leading Canadian academic centre.

Background: Artificial intelligence (AI) technologies are expected to "revolutionise" healthcare. However, despite their promises, their integration within healthcare organisations and systems remains limited. The objective of this study is to explore and understand the systemic challenges and implications of their integration in a leading Canadian academic hospital.

Through the big top: An exploratory study of circus-based artistic knowledge translation in rural healthcare services, Québec, Canada.

Background: The conventional methods and strategies used for knowledge translation (KT) in academic research often fall short in effectively reaching stakeholders, such as citizens, practitioners, and decision makers, especially concerning complex healthcare issues. In response, a growing number of scholars have been embracing arts-based knowledge translation (ABKT) to target a more diverse audience with varying backgrounds and expectations. Despite the increased interest, utilization, and literature on arts-based knowledge translation over the past three decades, no studies have directly compared traditional knowledge translation with arts-based knowledge translation methods.

Integrating environmental considerations in digital health technology assessment and procurement: Stakeholders' perspectives.

Background: Digital health technologies (DHTs) are promoted as means to reduce the environmental impact of healthcare systems. However, a growing literature is shedding light on the highly polluting nature of the digital industry and how it exacerbates health inequalities. Thus, the environmental footprint of DHTs should be considered when assessing their overall value to healthcare systems.

Assessing healthcare capacity crisis preparedness: development of an evaluation tool by a Canadian health authority.

Introduction: The COVID-19 pandemic presented health systems across the globe with unparalleled socio-political, ethical, scientific, and economic challenges. Despite the necessity for a unified, innovative, and effective response, many jurisdictions were unprepared to such a profound health crisis. This study aims to outline the creation of an evaluative tool designed to measure and evaluate the Vitalité Health Network's (New Brunswick, Canada) ability to manage health crises.

A Comprehensive, Valid, and Reliable Tool to Assess the Degree of Responsibility of Digital Health Solutions That Operate With or Without Artificial Intelligence: 3-Phase Mixed Methods Study.

Background: Clinicians' scope of responsibilities is being steadily transformed by digital health solutions that operate with or without artificial intelligence (DAI solutions). Most tools developed to foster ethical practices lack rigor and do not concurrently capture the health, social, economic, and environmental issues that such solutions raise.

Objective: To support clinical leadership in this field, we aimed to develop a comprehensive, valid, and reliable tool that measures the responsibility of DAI solutions by adapting the multidimensional and already validated Responsible Innovation in Health Tool.

A conceptualisation of scale-up and sustainability of social innovations in global health: a narrative review and integrative framework for action.

Background: The scale-up and sustainability of social innovations for health have received increased interest in global health research in recent years; however, these ambiguous concepts are poorly defined and insufficiently theorised and studied. Researchers, policymakers, and practitioners lack conceptual clarity and integrated frameworks for the scale-up and sustainability of global health innovations. Often, the frameworks developed are conceived in a linear and deterministic or consequentialist vision of the diffusion of innovations.

Thematic analysis of tools for health innovators and organisation leaders to develop digital health solutions fit for climate change.

Objectives: While ethicists have largely underscored the risks raised by digital health solutions that operate with or without artificial intelligence (AI), limited research has addressed the need to also mitigate their environmental footprint and equip health innovators as well as organisation leaders to meet responsibility requirements that go beyond clinical safety, efficacy and ethics. Drawing on the Responsible Innovation in Health framework, this qualitative study asks: (1) what are the practice-oriented tools available for innovators to develop environmentally sustainable digital solutions and (2) how are organisation leaders supposed to support them in this endeavour?

Methods: Focusing on a subset of 34 tools identified through a comprehensive scoping review (health sciences, computer sciences, engineering and social sciences), our qualitative thematic analysis identifies and illustrates how two responsibility principles-environmental sustainability and organisational responsibility-are meant to be put in practice.

Results: Guidance to make environmentally sustainable digital solutions is found in 11 tools whereas organisational responsibility is described in 33 tools.

The 'wrong pocket' problem as a barrier to the integration of telehealth in health organisations and systems.

The COVID-19 pandemic has accelerated the deployment of telehealth services in many countries around the world. It also revealed many barriers and challenges to the use of digital health technologies in health organisations and systems that have persisted for decades. One of these barriers is what is known as the 'wrong pocket' problem - where an organisation or sector makes expenditures and investments to address a given problem, but the benefits (return on investment) are captured by another organisation or sector (the wrong pocket).

An urgent call for the environmental sustainability of health systems: A 'sextuple aim' to care for patients, costs, providers, population equity and the planet.

Health systems have a duty to protect the health and well-being of individuals and populations. Yet, healthcare contributes about 4.6% of global greenhouse gas emissions.

Virtual Care and the Inverse Care Law: Implications for Policy, Practice, Research, Public and Patients.

Virtual care spread rapidly at the outbreak of the COVID-19 pandemic. Restricting in-person contact contributed to reducing the spread of infection and saved lives. However, the benefits of virtual care were not evenly distributed within and across social groups, and existing inequalities became exacerbated for those unable to fully access to, or benefit from virtual services.

Strategizing Research for Impact.

In its Strategic Plan 2021-2026, the Canadian Institutes of Health Research - Institute of Health Services and Policy Research (IHSPR) convincingly expresses its desire to expand capacity for applied health services and policy research (HSPR) and better mobilize research results for health system transformation geared toward the Quadruple Aim and health equity for all (CIHR IHSPR 2021). These strategic priorities echo views widely shared within the HSPR community, and we commend IHSPR for its leadership and vision. Recognizing the systemic challenges ahead of us, this commentary considers the HSPR community's capacity to achieve the promise of learning health systems, given the obstacles likely to hinder their rapid scale-up over the next five years.

Challenges to the implementation and adoption of physical distancing measures against COVID-19 by internally displaced people in Mali: a qualitative study.

Background: For almost a decade now, Mali has been facing a security crisis that led to the displacement of thousands of people within the country. Since March 2020, a health crisis linked to the COVID-19 pandemic also surfaced. To overcome this health crisis, the government implemented some physical distancing measures but their adoption proved difficult, particularly among internally displaced people (IDPs).

How Can Health Systems Better Prepare for the Next Pandemic? Lessons Learned From the Management of COVID-19 in Quebec (Canada).

The magnitude of the COVID-19 pandemic challenged societies around our globalized world. To contain the spread of the virus, unprecedented and drastic measures and policies were put in place by governments to manage an exceptional health care situation while maintaining other essential services. The responses of many governments showed a lack of preparedness to face this systemic and global health crisis.

Why is repositioning public health innovation towards a social paradigm necessary? A reflection on the field of public health through the examples of Ebola and Covid-19.

Health innovations are generally oriented on a techno-economic vision. In this perspective, technologies are seen as an end in themselves, and there is no arrangement between the technical and the social values of innovation. This vision prevails in sanitary crises, in which management is carried out based on the search for punctual, reactive, and technical solutions to remedy a specific problem without a systemic/holistic, sustainable, or proactive approach.

Organizational readiness for artificial intelligence in health care: insights for decision-making and practice.

Purpose: Artificial intelligence (AI) raises many expectations regarding its ability to profoundly transform health care delivery. There is an abundant literature on the technical performance of AI applications in many clinical fields (e.g.

Guiding Pay-As-You-Live Health Insurance Models Toward Responsible Innovation in Health.

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 emerging called Pay-As-You-Live (PAYL). This model differs from other insurance models by offering to support clients in the management of their health in a more interactive yet directive manner.

[Strategic framework to Support the evaluation of complex and innovative digital health projects].

Digital technologies play a central role in strategies to improve access, quality and efficiency of health care and services. However, many digital health projects have failed to become sustainable and spread across health organizations and systems. This situation is partly due to the fact that these projects are often developed and evaluated by reducing the issues linked mainly to the technological dimension.

"It's not just hacking for the sake of it": a qualitative study of health innovators' views on patient-driven open innovations, quality and safety.

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 software for type 1 diabetes management) and e-NABLE (volunteers who design and three-dimensionally print upper-limb assistive devices). To this end, we examined the views of health innovators who are knowledgeable about medical devices standards and regulations.

Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries.

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 in high-income countries, their use in 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, we propose five building blocks to guide the development and implementation of more responsible, sustainable, and inclusive AI health care technologies in LMICs.

Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity.

Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and efficiency of care and services and to build learning and value-based health systems. Many studies have examined the technical performance of AI within an experimental context. These studies provide limited insights into the issues that its use in a real-world context of care and services raises.

Rethinking the electronic health record through the quadruple aim: time to align its value with the health system.

Electronic health records (EHRs) are considered as a powerful lever for enabling value-based health systems. However, many challenges to their use persist and some of their unintended negative impacts are increasingly well documented, including the deterioration of work conditions and quality, and increased dissatisfaction of health care providers. The "quadruple aim" consists of improving population health as well as patient and provider experience while reducing costs.

Improving delivery of care in rural emergency departments: a qualitative pilot study mobilizing health professionals, decision-makers and citizens in Baie-Saint-Paul and the Magdalen Islands, Québec, Canada.

Background: Emergency departments (EDs) in rural and remote areas face challenges in delivering accessible, high quality and efficient services. The objective of this pilot study was to test the feasibility and relevance of the selected approach and to explore challenges and solutions to improve delivery of care in selected EDs.

Methods: We conducted an exploratory multiple case study in two rural EDs in Québec, Canada.

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Digital technologies play a central role in strategies to improve access, quality and efficiency of health care and services. However, many digital health projects have failed to become sustainable and spread across health organizations and systems. This situation is partly due to the fact that these projects are often developed and evaluated by reducing the issues linked mainly to the technological dimension.