CHIP Faculty Among Co-Authors of AMIA Informatics Summit Distinguished Paper Award for Implementation
CHIP Faculty Member Yuan Luo, PhD, was among the co-authors of a paper that won the Distinguished Paper Award in Implementation at the American Medical Informatics Association (AMIA) 2021 Virtual Informatics Summit.
The authors, Sijia Liu, Yuan Luo, Daniel Stone, Nansu Zong, Andrew Wen, Yue Yu, Luke Rasmussen, Fei Wang, Jyotishman Pathak, Hongfang Liu, and Guoqian Jiang were presented the award for their paper, "Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets."
The paper explores the capability of HL7 Fast Healthcare Interoperability Resources (FHIR) in enabling clinical data analytics. The objective of the study was to demonstrate how FHIR-based representation of unstructured electronic health record (EHR) data can be ported to deep learning models for text classification in clinical phenotyping. Learn more on the AMIA 2021 Virtual Informatics Summit program website.