At Vanderbilt University School of Medicine, groundbreaking work is underway to identify the genetic basis of diseases and drug response. Through the use of big data analytics, researchers and clinicians are working together to learn which patients may be at risk for certain diseases and why some patients respond well to certain drugs.
This work is heralding a new era in healthcare that will transform healthcare delivery and patient care, enabling physicians to better tailor care for each patient and potentially develop new therapies for disease prevention. But being able to connect genetic markers and phenotypes—specific traits or characteristics in individuals—to specific diseases and health outcomes requires the ability to survey billions of data points from numerous angles over and over.
“Ultimately, it’s about improving care. It’s about preventing adverse effects, tailoring therapy and developing new therapeutics.”
— Dr. Joshua Denny, Associate Professor of Biomedical Informatics, Vanderbilt University School of Medicine
Read the IBM case study Vanderbilt University School of Medicine: Improving patient care with big data analytics from IBM to learn how the IBM PureData System, powered by Netezza technology, is helping Vanderbilt clinicians cut research timelines from nearly a year to only few weeks, as well as how it is driving new discoveries as researchers and clinicians test more theories, even longshots.
The new insights gained have helped physicians identify which patients were most likely to have another heart attack when prescribed a particular antiplatelet drug. These insights have also helped clinicians identify individuals at higher risks for developing an arrhythmia.
Download the IBM case study Vanderbilt University School of Medicine: Improving patient care with big data analytics from IBM to learn more today.
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For more information about the Vanderbilt University School of Medicine, visit: https://medschool.vanderbilt.edu