Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/103193
Title: Intelligent aggregation and adaptive visualization : a digital health case study
Authors: Attard, Conrad
Vella, Kim
Azzopardi, Joel
Keywords: Internet of things
Big data
Electronic data processing
Medical records -- Data processing
Issue Date: 2019
Publisher: Association for Computing Machinery
Citation: Attard, C., Vella, K. & Azzopardi, J. (2019). Intelligent aggregation and adaptive visualization : a digital health case study. SIGCHI Workshop: Unpacking the Infrastructuring Work of Patients and Caregivers around the World, Glasgow.
Abstract: One of the main objectives of digital health is to deliver the right health information at the right time to the right patient. This project aims to link the segregated IT solutions used in a local primary state-run hospital in Malta (Mater Dei Hospital) together with other external related datasets into one consolidated system. With the use of linked data, adaptive visualizations and machine learning algorithms, we hypothesize that information accessibility at the appropriate level of detail and usability should improve. This proof of concept takes the colorectal patient pathway section in the oncology department as a case study.
URI: https://www.um.edu.mt/library/oar/handle/123456789/103193
ISSN: 9781450359719/19/05
Appears in Collections:Scholarly Works - FacICTAI

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