Title :
Personalized Decision Support System to Enhance Evidence Based Medicine through Big Data Analytics
Author :
Yesha, Yelena ; Janeja, Vandana P. ; Rishe, Naphtali ; Yesha, Yaacov
Abstract :
NG Health IT and UMBC are collaborating together to advance the fields of healthcare and bioinformatics, with an emphasis targeting Personalized Medicine. As progress in biomedical analysis and personalized medicine provide new sources and levels of information about genomics and other ´omics, problems of sorting through, integrating, and presenting this information to clinical practitioners to allow them to reach sound, actionable, conclusions represents a significant challenge given the nature of the data which is heterogeneous and large. This project will provide significant value for the Veterans Administration (VA) and MHS systems by providing improved access to care and improved clinical decision making utilizing clinical, genomic, proteomic, and other ´omic information. The work being done focuses on the data access and analysis of multiple sources of healthcare data.
Keywords :
Big Data; data analysis; decision making; decision support systems; genomics; health care; Big Data analytics; MHS systems; NG Health IT; UMBC; VA; Veterans Administration; biomedical analysis; clinical decision making; clinical information; clinical practitioners; data access; data analysis; evidence based medicine; genomics; healthcare data; personalized decision support system; personalized medicine; proteomic information; Big data; Bioinformatics; Educational institutions; Feature extraction; Genomics; Geospatial analysis; Medical services; data fusion; decision support; genomics;
Conference_Titel :
Healthcare Informatics (ICHI), 2014 IEEE International Conference on
DOI :
10.1109/ICHI.2014.71