This IHPI Seminar is now available to view through the Michigan Medicine YouTube Channel.
ANN ARBOR, Mich. – The University of Michigan School of Public Health announced that Andrew Ryan has been named the first UnitedHealthcare Professor of Health Care Management. UnitedHealthcare established this $2.5 million endowed professorship to support a selected tenured faculty member by funding both salary and a discretionary fund that enables the school to pursue innovative health policy research.Details
IHPI recently updated their Health Services Timeline in Building 10. You can also view the online version here: http://ihpitime.ihpi.med.umich.edu/
Every year nearly 30,000 Americans die from an aggressive, gut-infecting bacteria called Clostridium difficile (C. difficile), which is resistant to many common antibiotics and can flourish when antibiotic treatment kills off beneficial bacteria that normally keep it at bay. Investigators from Massachusetts General Hospital (MGH), the University of Michigan (U-M) and Massachusetts Institute of Technology (MIT) now have developed investigational “machine learning” models, specifically tailored to individual institutions, that can predict a patient’s risk of developing C. difficile much earlier than it would be diagnosed with current methods. Preliminary data from their study, which is being published today in Infection Control and Hospital Epidemiology, were presented last October at the ID Week 2017 conference. (Science Daily)
(Photo Credit: Computer Science and Engineering, University of Michigan)Details
Briefing at the National Academy of Medicine Digital Learning Collaborative discussed the future of Artificial Intelligence in Health and Health Care.
In November of 2017, the Leadership Consortium for a Value & Science-Driven Health System of the National Academy of Medicine met in Washington D.C. to discuss the future of artificial intelligence and machine learning in health and health care. Follow the link to read the briefing in full.Details
Jenna Wiens to Present this Week’s MIDAS Seminar “Increasing the Utility of Machine Learning in Clinical Care”
Today’s hospitals are collecting an immense amount of patient data. My group aims to develop the machine learning tools needed to detect patterns in these data that can help inform clinical decisions, leading to improved patient care.Details
The goal of Kayvan Najarian, Ph.D.’s research, funded by a grant from the American Heart Association (AHA), is to exploit recent advancements in signal processing and machine learning algorithms to construct a fully automated, computer-based platform — AngioAid — that efficiently assists cardiologists with coronary angiogram video evaluation. Preliminary work by the group suggests such a platform is feasible.Details