Digital health technologies hold promises for reducing health care costs, enhancing access to care, and addressing labor shortages. However, they risk exacerbating inequalities by disproportionately benefitting a subset of the population. Use of digital technologies accelerated during the Covid-19 pandemic.
View Article and Find Full Text PDFObjectives: The objective of this study is to describe how OCRx (Canadian Drug Ontology) has been built to address the dual need for local drug information integration in Canada and alignment with international standards requirements.
Methods: This paper delves into (i) the implementation efforts to meet the Identification of Medicinal Product (IDMP) requirements in OCRx, alongside the ontology update strategy, (ii) the structure of the ontology itself, (iii) the alignment approach with several reference Knowledge Organization Systems, including SNOMED CT, RxNorm, and the list of "Code Identifiant de Spécialité" (CIS-Code), and (iv) the look-up services developed to facilitate its access and utilization.
Results: Each OCRx release contains two distinct versions: the full and the up-to-date version.
Diabetes is a global public health issue. The Public Health Agency of Canada published a Diabetes Framework 2022 which recommends collaborative work across sectors to mitigate the impact of diabetes on health and quality of life. Since 2020, the INMED-COMMUNITY pathway has been implemented in Laval, Québec developing collaboration between healthcare and community sectors through a participatory action research approach.
View Article and Find Full Text PDFBackground: Artificial Intelligence (AI) and its applications in health care are on the agenda of policymakers around the world, but a major challenge remains, namely, to set policies that will ensure wide acceptance and capture the value of AI while mitigating associated risks.
Objective: This study aims to provide an overview of how OECD countries strategize about how to integrate AI into health care and to determine their actual level of AI maturity.
Methods: A scan of government-based AI strategies and initiatives adopted in 10 proactive OECD countries was conducted.