AMIA Joint Summits 2016 Panel: Insight Generation from Real-world and Real-time Treatment Pathways

I’m happy to announce that I’ll be part of a panel at the AMIA 2016 Joint Summits on Translational Science together with Zhaohui Cai, Aaron Kamauu, and Gerasimos Petratos.  The extended abstract we submitted was accepted to appear in the proceedings, and the panel has been scheduled for March 22, 2016 at 10:30am.  For more information about the Joint Summits, click here.

Here is a brief abstract for our planned panel:

Understanding of patient outcomes in relation to patient treatment pathways is critical for Comparative Effectiveness Research (CER) and healthcare quality improvement. The recent growing prevalence of longitudinal healthcare data from Electronic Health Records (EHR), health insurance claims, and disease/patient registries has made it possible to retrospectively reconstruct patient-level treatment pathways based on real-world data. Real-time decision support at the point of care for treatment pathways is also becoming available as the EHR systems are incorporating alerting and recommendation functionality into their user interface for physicians. The panel will focus on such retrospective and prospective pathway reconstructions and temporal visualization and analysis for better understanding treatment patters in real world.

From a Medical Informatics perspective, this panel will address the needs to: 1) reconstruct real-patient treatment pathways by introducing high performance platforms or tools to extract relevant data elements and information out of structured and unstructured healthcare data, 2) identify real-world treatment patterns using visual analytics, and to associate patient outcomes with treatment pathways, and 3) enable answering “what if” questions by predicting outcomes of new interventions in the context of prospective treatment pathways.

Sch of Inform and Libr Science