Abstract
Heterogeneous health data is a critical issue when
managing health information for quality decision making
processes. In this paper we examine the efficient
aggregation of lifestyle information through a data
warehousing architecture lens. We present a proof of
concept for a clinical data warehouse architecture that
enables evidence based decision making processes by
integrating and organising disparate data silos in support
of healthcare services improvement paradigms.
managing health information for quality decision making
processes. In this paper we examine the efficient
aggregation of lifestyle information through a data
warehousing architecture lens. We present a proof of
concept for a clinical data warehouse architecture that
enables evidence based decision making processes by
integrating and organising disparate data silos in support
of healthcare services improvement paradigms.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 8th Australasian Workshop on Health Informatics and Knowledge Management (HIKM) |
| Editors | Anthony Maeder, Jim Warren |
| Publisher | Australian Computer Society Inc |
| Pages | 101-104 |
| Number of pages | 4 |
| Volume | 164 |
| ISBN (Electronic) | 978-1-921770-46-3 |
| Publication status | Published - 2015 |
| Event | 8th Australasian Workshop on Health Informatics and Knowledge Management - Sydney, Sydney, Australia Duration: 27 Jan 2015 → 30 Jan 2015 Conference number: 8 |
Conference
| Conference | 8th Australasian Workshop on Health Informatics and Knowledge Management |
|---|---|
| Abbreviated title | HIKM |
| Country/Territory | Australia |
| City | Sydney |
| Period | 27/01/15 → 30/01/15 |