Explore the vast range of titles available.

The COVID-19 pandemic has had a major impact on health and social service systems (HSSS) worldwide. It has put tremendous pressure on these systems, threatening access, continuity, and the quality of patient care and services. In Quebec (Canada), the delivery of care and services has radically changed in a short period of time. During the pandemic, telehealth has been widely deployed and used, notwithstanding the decades-long challenges of integrating this service modality into the Quebec HSSS. Adopting a narrative-integrative approach, this article describes and discusses Quebec's experience with the deployment and utilization of telehealth in the context of COVID-19. Firstly, we introduced the achievements and benefits made with the use of telehealth. Secondly, we discussed the challenges and concerns that were revealed or accentuated by the sanitary crisis, such as: (1) training and information; (2) professional and organizational issues; (3) quality of services and patient satisfaction; (4) cost, remuneration, and funding; (5) technology and infrastructure; (6) the emergence of private telehealth platforms in a public HSSS; (7) digital divide and equity; and (8) legal and regulatory issues. Finally, the article presents recommendations to guide future research, policies and actions for a successful integration of telehealth in the Quebec HSSS as well as in jurisdictions and countries facing comparable challenges.

PurposeArtificial 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. radiology, ophthalmology). This article aims to bring forward the importance of studying organizational readiness to integrate AI into health care delivery.Design/methodology/approachThe reflection is based on our experience in digital health technologies, diffusion of innovations and healthcare organizations and systems. It provides insights into why and how organizational readiness should be carefully considered.FindingsAs an important step to ensure 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. In summary, 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.Originality/valueFew studies have focused on the organizational issues raised by the integration of AI into clinical routine. The current context is marked by a perplexing gap between the willingness of decision-makers and technology promoters to capitalize on AI applications to improve health care delivery and the reality on the ground, where it is difficult to initiate the changes needed to realize their full benefits while avoiding their negative impacts.