Note Highlights: Surfacing Relevant Concepts from Unstructured Notes for Health Professionals

Vanessa López, Joao H Bettencourt-Silva, Natalia Mulligan, Marco Luca Sbodio

Abstract:

Health and social care professionals are under
increasing pressure to assimilate the ever-growing volume of data
from case notes and electronic medical records. In this paper, we
propose and evaluate with domain experts a cognitive system for
patient-centric care that leverages and combines natural language
processing, semantics, and learning from users over time to
support care professionals making informed and timely decisions
while reducing the burden of interacting with large volumes of
unstructured patient notes. We propose methods for highlighting
the entities embedded in the unstructured data and providing a
personalized view of an individual. We evaluate through a user
study and show a consensus between what the domain experts and
the system consider relevant and discuss early feedback on the
value of our Note Highlights methods to domain experts.