What is Biomedical Analytics?
Biomedical Analytics* is the science of developing and applying computable algorithms based on mathematics, operations research, statistics and computer science to extract properties from biological and medical data that suggest ways to advance basic, clinical, and translational research in the field of medicine with the goal of improving patient outcomes.
Biomedical analytics is primarily research focused, and develops algorithms that can support the fast-growing sector of healthcare analytics. For example, smarter healthcare can turn data into clinical and business insights for better outcomes by using advanced business intelligence technologies to extract more useful data from electronic medical records.
Applications of biomedical analytics include the study of biofluid and tissue data using statistical and network analysis to discover and understand changing molecular patterns over time associated with disease progression, with the goal of improving diagnosis, prognosis and therapies for personalized medicine.
Biomedical analytics is primarily research focused, and develops algorithms that can support the fast-growing sector of healthcare analytics. For example, smarter healthcare can turn data into clinical and business insights for better outcomes by using advanced business intelligence technologies to extract more useful data from electronic medical records.
Applications of biomedical analytics include the study of biofluid and tissue data using statistical and network analysis to discover and understand changing molecular patterns over time associated with disease progression, with the goal of improving diagnosis, prognosis and therapies for personalized medicine.
* term coined by M.F.McGuire PhD
©2022 Mary F. McGuire