Neil Sarkar's Why Informatics?

I knew I was going to be a health care in some way shape or form I knew I wanted to impact patients I knew I wanted to make health care better what really excites instrumentations is that ability to take ideas and being curious about the world within which we live and applying it in a very focused way on making people's lives better and not just better but healthier for me I've been curious my entire life from from when I was a young child always curious about how the world works I won't even tell you how many VCRs I broke taking them apart ran understand just how things worked if there's one thing that I think brings all institutions together is that we're very curious about the world there's nothing more gratifying than interacting with a physician who acknowledges not only that informatics has made their lives better but it has neither patients lifespan the big area of my research is focused on moms and better understanding the impacts of preterm birth it's really about first coming up with better predictors for spontaneous preterm birth and second it's about enabling us to leverage informatics approaches for gathering the appropriate pieces of information that are specific to that one law because no pregnancy is exactly the same if we can have a better understanding of or even start certain treatments while the baby is still in the womb we might have an opportunity to actually get some of these kids off onto a better start than we do right now what informatics allows us to do is it allows us to take the data from a patient and add that into the patient's story so that it can actually be used by the clinical teams to actually provide very precise care this is right at the heart of what we care so much about in biomedical informatics is developing ways for leveraging available data in a way that can actually inform care and treatment so medicine is ultimately about the patient's story implementations are chameleons and so on one hand we can be very theoretical and think about mathematical equations and build models but we're also very practical because building a model without a real application without impacting at least one patient is of no utility to the way that we think

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