Charles Boicey is the Immediate Past President of American Informatics Association, USA. He is the enterprise analytics architect for Stony Brook Medicine, an academic research institution and medical center located on Long Island, N.Y. Charles is responsible for the development and implementation of enterprise analytics solutions and Stony Brook Medicine’s population managment ecosystem. Charles has 22 years of experience in the healthcare field. His scope of expertise encompasses trauma, critical care nursing, designing technology-enabled processes, and ensuring the use of standardized data elements in clinical systems to meet clinical and research analytics requirements. His most recent work includes the development of Saritor, a healthcare centric “Big Data” ecosystem designed to advance clinical and research practice. Charles is a registered nurse, certified in nursing informatics, PMP, CPHIMS. He received his Master’s Degree in technology management from Stevens Institute of Technology. Charles is the vice president of the American Nursing Informatics Association and an active member of AMIA, HIMSS, IEEE, and PMI.
In 2010 the Clinical Informatics Team at the University of California, Irvine set out introduce technologies deployed by Twitter, Facebook, LinkedIn and Yahoo into healthcare. The ability to utilize and process data by these organizations in a very real time nature was compelling. Even more compelling was the similarities in data types shared by these organizations as well as healthcare such as structured, unstructured, images and video.
This presentation will focus on the work done over the past six years regarding the infrastructure required to ingest healthcare and healthcare related data into a “Big Data” ecosystem. Additional areas of focus will be on the clinical applications built on the ecosystem utilizing streaming data for monitoring patients in high acuity areas in real time by virtue of streaming data and streaming analytics. Real time quality assessment and monitoring will be discussed as healthcare is moving from retrospective quality reporting to a real time assessment of patients meeting quality measures.
Data not traditionally found within the healthcare data environment will also be explored and the use cases for acquiring high value data such as social determinates of health, social media geographic information systems and public data will be covered.