2021-Summer-NewsletterFINAL - Flipbook - Page 4
Big data. We have all heard that term, but what exactly does it mean? Simply put, big data refers to large
amounts of data, which makes it difficult to process using traditional methods. Machine learning, however,
can automate the analysis of all of this data to build analytical models, and these models offer insights that
can lead to better decisions in a variety of areas.
Why is this important? In a business setting, use of big data allows businesses to observe various customer-related
patterns and trends, which ultimately can help change the way businesses operate. In healthcare, big data can use
specific statistics from a population to research a myriad of things, including cost reductions, research advancements or
even the prevention of diseases.
The digitization of big data through machine learning allows providers to make decisions not only based on their
background and experience, but also using big data research. Ultimately, collecting data allows for better decisions and
better overall patient care.
During the Sysmex Corporate Workshop at the International Society of Laboratory Hematology conference in May,
Michelle Grant, D.O., Director of Hematology and Coagulation from Geisinger Medical Laboratories in Danville, PA,
and Steve Postma, Enterprise Architect from Sysmex America in Lincolnshire, IL, discussed their collaboration on a
machine learning study. The study looked at complete blood count (CBC) parameters in combination with clinical data
4 | NEWS