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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 |
Files in This Item:
File | Description | Size | Format | |
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CHI_Workshop_2019.pdf Restricted Access | 195.65 kB | Adobe PDF | View/Open Request a copy |
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