DSpace Collection:
http://hdl.handle.net/10884/1194
2024-01-09T09:11:11ZDelivering Health Intelligence For Healthcare Services
http://hdl.handle.net/10884/1467
Title: Delivering Health Intelligence For Healthcare Services
Authors: Murray, Michael; Macedo, Mário; Glynn, Carole
Abstract: The systems barrier for clinical information
interoperability and standards has now evolved from a
technology barrier to a semantic barrier. The processes to
gather clinical data and to build clinical information and
knowledge cannot be fully implemented, owing to semantic
dissonances and limited data normalization. According to [1],
“Just over a half of entered codes were appropriate for a given
scenario and about a quarter were omitted.” This is a
significant data and financial gap for healthcare provision.
Huge amount of addition to the financial cost, lack of data
integration and loss of information affects the ability to
maintain standards in clinical care delivery and patient
outcomes.
This paper proposes that the solution to these issues is an
augmented network of clinical note taking, where coding is
automatically generated by an AI system as clinicians write
their clinical notes. The system (AI-KEN) offers enhanced web
support that is integrated to local clinical systems, whereby
clinical notes are prompted by suggested predictive text
options in real time. The anticipated benefits include reducing
financial loss for acute services, support for clinical standard
maintenance and enhanced advancements for clinical practice
and research in real time.2019-11-01T00:00:00Z