TY - GEN
T1 - Clinical data warehousing for evidence based decision making
AU - Narra, Lekha
AU - Sahama, Tony
AU - Stapleton, Peta
PY - 2015
Y1 - 2015
N2 - Large volumes of heterogeneous health data silos pose a big challenge when exploring for information to allow for evidence based decision making and ensuring quality outcomes. In this paper, we present a proof of concept for adopting data warehousing technology to aggregate and analyse disparate health data in order to understand the impact various lifestyle factors on obesity. We present a practical model for data warehousing with detailed explanation which can be adopted similarly for studying various other health issues.
AB - Large volumes of heterogeneous health data silos pose a big challenge when exploring for information to allow for evidence based decision making and ensuring quality outcomes. In this paper, we present a proof of concept for adopting data warehousing technology to aggregate and analyse disparate health data in order to understand the impact various lifestyle factors on obesity. We present a practical model for data warehousing with detailed explanation which can be adopted similarly for studying various other health issues.
UR - http://www.scopus.com/inward/record.url?scp=84937509681&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-512-8-329
DO - 10.3233/978-1-61499-512-8-329
M3 - Conference contribution
AN - SCOPUS:84937509681
VL - 210
T3 - Studies in Health Technology and Informatics
SP - 329
EP - 333
BT - Digital Healthcare Empowering Europeans - Proceedings of MIE 2015
PB - IOS Press
CY - Spain
T2 - 26th Medical Informatics in Europe Conference, MIE 2015
Y2 - 27 May 2015 through 29 May 2015
ER -
