The toll that the COVID-19 pandemic has taken on daily life can’t be overstated. All of us have had to rapidly adjust the way we live and listen to the medical community to keep people safe. Scientists, researchers and medical professionals around the world are collaborating to find solutions or treatments to combat the virus.
In this talk, we bring experts to you so you can ask them anything, without leaving your own home. Dr. Andrew Costa is the chair of clinical epidemiology and research director at the school of medicine at McMaster University, Waterloo Region Campus. Dr. Costa and his team are passionate about using big data to help us solve the medical challenges of the future.
We will explore a number of key topics including:
Graham Campbell is a Research Coordinator on Dr. Costa’s team and will be moderating the discussion and fielding questions from our online audience. Graham’s current areas of focus include qualitative health systems research, facilitating interdisciplinary projects with partners, and exploring new technologies in safe, effective, and accessible patient care.
About the speaker Dr. Andrew Costa
Dr. Costa is the Schlegel Research Chair in Clinical Epidemiology and Aging in the Department of Medicine at McMaster University. Dr. Costa also serves as the Research Director at the DeGroote School of Medicine, Waterloo Regional Campus. Dr. Costa is also the Research Director of The Big Data and Geriatric Models of Care Research Cluster, a collection of scientists and clinicians that use big data to inform and evaluate better models of care for older adults in communities across Canada.
Dr. Costa’s research program promotes evidence-based care and health policy in seniors and geriatric care. Dr. Costa is an interRAI Fellow where he is engaged in the Network of Excellence in Acute Care (iNEAC) and leads the Emergency Department Working Group. He has received CIHR awards for his research in health services and policy.His program of research makes use of health information and technology to develop better models of care and decision support systems in home and community care, and emergency departments.
