Data Driven Analytics for Personalized Healthcare

Jianying Hu
IBM T. J. Watson Research Center
Wachman 447
Wednesday, February 13, 2013 - 11:00

The concept of Learning Health Systems (LHS) is gaining momentum as more and more electronic healthcare data has become increasingly accessible. The idea is to enable learning from the collective experience of a care delivery network as recorded in the observational data, to iteratively improve care quality as care is being provided in a real world setting. In line with this vision, the health care analytics research group at IBM Research has been developing methodologies that can be used to derive insights from diverse sources of healthcare data to provide personalized decision support for care delivery and care management, with a focus on the identification of at risk patients and early intervention opportunities. These methodologies collectively called Intelligent Care Delivery Analytics (ICDA), have provided the foundational analytics for the new IBM Patient Care and Insight (IPCI) solution that was just announced in October 2012. In this talk I will review the analytics components in ICDA, and describe some new directions we are taking to develop analytics to support care coordination.