Abstract
Misjudging suicide risk can be fatal. Risk assessment is complicated by multiplicity of risk factors, none of which individually can reliably predict risk. This paper addresses the need for better clinical support, visualising risk factors scattered in raw electronic medical records. HealthMap is a visual tool that helps clinicians effectively examine patient histories during a suicide risk assessment. We characterise the information visualisation problems accompanying suicide risk assessments. A design driven by visualisation principles was implemented. The prototype was evaluated by clinicians and accepted into daily clinical work-flow.
Original language | English |
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Title of host publication | Proceedings of the Abstracts of the Scientific Stream at Big Data 2014 |
Editors | Katrina Barbuto, Louise Schaper, Karin Verspoor |
Place of Publication | Aachen Germany |
Publisher | CEUR-WS |
Pages | 42-43 |
Number of pages | 2 |
Volume | 1149 |
Publication status | Published - 2014 |
Externally published | Yes |
Event | Scientific Stream at Big Data 2014 - Melbourne, Australia Duration: 3 Apr 2014 → 4 Apr 2014 |
Conference
Conference | Scientific Stream at Big Data 2014 |
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Abbreviated title | BD 2014 |
Country/Territory | Australia |
City | Melbourne |
Period | 3/04/14 → 4/04/14 |