Journal of General Internal Medicine

, Volume 28, Supplement 3, pp 660–665 | Cite as

Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework

  • Nitesh V. Chawla
  • Darcy A. Davis


Faced with unsustainable costs and enormous amounts of under-utilized data, health care needs more efficient practices, research, and tools to harness the full benefits of personal health and healthcare-related data. Imagine visiting your physician’s office with a list of concerns and questions. What if you could walk out the office with a personalized assessment of your health? What if you could have personalized disease management and wellness plan? These are the goals and vision of the work discussed in this paper. The timing is right for such a research direction—given the changes in health care, reimbursement, reform, meaningful use of electronic health care data, and patient-centered outcome mandate. We present the foundations of work that takes a Big Data driven approach towards personalized healthcare, and demonstrate its applicability to patient-centered outcomes, meaningful use, and reducing re-admission rates.


personalized healthcare data mining patient-centered outcomes 


Conflict of Interest

The authors declare that they do not have a conflict of interest.


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Copyright information

© Society of General Internal Medicine 2013

Authors and Affiliations

  1. 1.Department of Computer Science and Engineering, Interdisciplinary Center for Network Science and Applications (iCeNSA)University of Notre DameNotre DameUSA
  2. 2.University of Notre DameNotre DameUSA

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