TY - GEN
T1 - Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data
AU - Segagni, Daniele
AU - Sacchi, Lucia
AU - Dagliati, Arianna
AU - Tibollo, Valentina
AU - Leporati, Paola
AU - De Cata, Pasqale
AU - Chiovato, Luca
AU - Bellazzi, Riccardo
PY - 2015
Y1 - 2015
N2 - This work describes an integrated informatics system developed to collect and display clinically relevant data that can inform physicians and researchers about Type 2 Diabetes Mellitus (T2DM) patient clinical pathways and therapy adherence. The software we developed takes data coming from the electronic medical record (EMR) of the IRCCS Fondazione Maugeri (FSM) hospital of Pavia, Italy, and combines the data with administrative, pharmacy drugs (purchased from the local healthcare agency (ASL) of the Pavia area), and open environmental data of the same region. By using different use cases, we explain the importance of gathering and displaying the data types through a single informatics tool: the use of the tool as a calculator of risk factors and indicators to improve current detection of T2DM, a generator of clinical pathways and patients' behaviors from the point of view of the hospital care management, and a decision support tool for follow-up visits. The results of the performed data analysis report how the use of the dashboard displays meaningful clinical decisions in treating complex chronic diseases and might improve health outcomes.
AB - This work describes an integrated informatics system developed to collect and display clinically relevant data that can inform physicians and researchers about Type 2 Diabetes Mellitus (T2DM) patient clinical pathways and therapy adherence. The software we developed takes data coming from the electronic medical record (EMR) of the IRCCS Fondazione Maugeri (FSM) hospital of Pavia, Italy, and combines the data with administrative, pharmacy drugs (purchased from the local healthcare agency (ASL) of the Pavia area), and open environmental data of the same region. By using different use cases, we explain the importance of gathering and displaying the data types through a single informatics tool: the use of the tool as a calculator of risk factors and indicators to improve current detection of T2DM, a generator of clinical pathways and patients' behaviors from the point of view of the hospital care management, and a decision support tool for follow-up visits. The results of the performed data analysis report how the use of the dashboard displays meaningful clinical decisions in treating complex chronic diseases and might improve health outcomes.
KW - Clinical Pathways
KW - Data Integration
KW - Integrated Systems
KW - Therapy Adherence
KW - Type 2 Diabetes
UR - http://www.scopus.com/inward/record.url?scp=84951957995&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951957995&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-564-7-682
DO - 10.3233/978-1-61499-564-7-682
M3 - Conference contribution
AN - SCOPUS:84951957995
SN - 9781614995630
VL - 216
T3 - Studies in Health Technology and Informatics
SP - 682
EP - 686
BT - Studies in Health Technology and Informatics
PB - IOS Press
T2 - 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
Y2 - 19 August 2015 through 23 August 2015
ER -