Employee-Driven Innovation in Health Organizations: Insights From a Scoping Review.

Background: Employee-driven innovation (EDI) occurs when frontline actors in health organizations use their firsthand experience to spur new ideas to transform care. Despite its increasing prevalence in health organizations, the organizational conditions under which EDI is operationalized have received little scholarly attention.

Methods: This scoping review identifies gaps and assembles existing knowledge on four questions: What is EDI in health organizations and which frontline actors are involved? What are the characteristics of the EDI process? What contextual factors enable or impede EDI? And what benefits does EDI bring to health organizations? We searched seven databases with keywords related to EDI in health organizations.

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.

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.

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.