The twin pandemics of COVID-19 and structural racism brought into focus health disparities and disproportionate impacts of disease on communities of color. Health equity has subsequently emerged as a priority. Recognizing that the future of health care will be informed by advanced information technologies including artificial intelligence (AI), machine learning, and algorithmic applications, the authors argue that to advance towards states of improved health equity, health information professionals need to engage in and encourage the conduct of research at the intersections of health equity, health disparities, and computational biomedical knowledge (CBK) applications.
View Article and Find Full Text PDFThis project describes the creation of a single searchable resource during the pandemic, called the COVID-19 Best Evidence Front Door, with a primary goal of providing direct access to high-quality meta-analyses, literature syntheses, and clinical guidelines from a variety of trusted sources. The Front Door makes relevant evidence findable and accessible with a single search to aggregated evidence-based resources, optimizing time, discovery, and improved access to quality scientific evidence while reducing the burden of frontline health care providers and other knowledge-seekers in needing to separately identify, locate, and explore multiple websites.
View Article and Find Full Text PDFRecognizing a need to be more relevant to its constituents, and aligned with institutional priorities, the Taubman Health Sciences Library redefined its mission, roles, and space. This transformation facilitated innovative, team-based collaborations within the health sciences community and the addition of new roles and responsibilities in academic and clinical engagement, research and informatics, enabling technologies, community outreach, and global health. Library space is being redesigned, and a branch library dedicated to interdisciplinary partnerships has been established.
View Article and Find Full Text PDF