“Engineering a Learning Healthcare System: The Role for Data Science”
Special Guest Speaker:
Jyotishman Pathak, PhD
Associate Professor of Biomedical Informatics
Mayo Clinic College of Medicine
Pre-Clinical Teaching Building
Corner of Wolfe and Monument Streets
As the era of Big Data is dawning on biomedical research, multiple types of biomedical data, including phenotypic, molecular (including –omics), clinical, imaging, behavioral, and environmental data is being generated at an unprecedented scale with high volume, variety and velocity. These datasets are increasingly large and complex, challenging our current abilities for data representation, integration and analysis for improving outcomes and reducing healthcare costs. While significant advancements have been made in terms of storage and compute capabilities, the greatest challenge remains to make the data “clinically actionable” for delivering the right care to the right patient at the right time for implementing a scalable learning health system. Addressing these challenges require develop of novel methodologies in data integration, data standardization, information retrieval, data mining and clinical decision making. In this talk, I will present our research in these areas, and highlight future opportunities for research, education and training.