Humans produce a lot of data, and it seems the current epidemic crisis has accelerated our production of and engagement with numbers, graphs, and maps. But we can learn a lot from all the statistics, especially if we know how to digest and interpret it all. Demography expert Neil Mehta shares his thoughts on how to follow and understand the coronavirus outbreak in a meaningful way.
Women’s bodies can be mysterious things—even to the women who inhabit them. But a wearable gadget called the Yono aims to replace mystery with knowledge derived from statistics, big data, and machine learning.
A system created to grade doctors and empower patients to make better decisions falls short of its goal of providing information useful to consumers, according to a study by University of Michigan researchers.
Electronic health records were supposed to streamline patient information, but in the decade since inception, health workers claim they have compromised patient care and complicated their jobs. A recent University of Michigan study confirms earlier research about EHRs' shortcomings—this time in the highly complex outpatient chemotherapy setting.
The University of Michigan School of Public Health’s Big Data Summer Institute has received a three-year grant from the National Heart, Lung, and Blood Institute to continue a program run by the Department of Biostatistics that introduces undergraduate students to the intersection of big data and human health.
Tiffany Veinot sees great potential for technology to improve the health of populations everywhere. As director of the University of Michigan’s Master of Health Informatics program, a partnership of the School of Public Health, the School of Information, and the School of Medicine’s Department of Learning Health Sciences, Veinot leads a cross-campus educational initiative bringing technology to bear on human health outcomes.