PMID- 26736708
OWN - NLM
STAT- MEDLINE
DCOM- 20160926
LR  - 20200928
IS  - 2694-0604 (Electronic)
IS  - 2375-7477 (Linking)
VI  - 2015
DP  - 2015
TI  - Template for preparation of papers for IEEE sponsored conferences & symposia.
PG  - 2123-6
LID - 10.1109/EMBC.2015.7318808 [doi]
AB  - To improve the access to medical information is necessary to design and implement 
      integrated informatics techniques aimed to gather data from different and 
      heterogeneous sources. This paper describes the technologies used to integrate 
      data coming from the electronic medical record of the IRCCS Fondazione Maugeri 
      (FSM) hospital of Pavia, Italy, and combines them with administrative, pharmacy 
      drugs purchase coming from the local healthcare agency (ASL) of the Pavia area 
      and environmental open data of the same region. The integration process is 
      focused on data coming from a cohort of one thousand patients diagnosed with Type 
      2 Diabetes Mellitus (T2DM). Data analysis and temporal data mining techniques 
      have been integrated to enhance the initial dataset allowing the possibility to 
      stratify patients using further information coming from the mined data like 
      behavioral patterns of prescription-related drug purchases and other frequent 
      clinical temporal patterns, through the use of an intuitive dashboard controlled 
      system.
FAU - Sacchi, L
AU  - Sacchi L
FAU - Dagliati, A
AU  - Dagliati A
FAU - Tibollo, V
AU  - Tibollo V
FAU - Leporati, P
AU  - Leporati P
FAU - De Cata, P
AU  - De Cata P
FAU - Cerra, C
AU  - Cerra C
FAU - Chiovato, L
AU  - Chiovato L
FAU - Bellazzi, R
AU  - Bellazzi R
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Data Mining/*methods
MH  - Delivery of Health Care/methods/*organization & administration/statistics & 
      numerical data
MH  - *Diabetes Mellitus, Type 2
MH  - *Electronic Health Records
MH  - Humans
MH  - Italy
MH  - Pharmacy/methods/organization & administration/statistics & numerical data
EDAT- 2016/01/07 06:00
MHDA- 2016/09/27 06:00
CRDT- 2016/01/07 06:00
PHST- 2016/01/07 06:00 [entrez]
PHST- 2016/01/07 06:00 [pubmed]
PHST- 2016/09/27 06:00 [medline]
AID - 10.1109/EMBC.2015.7318808 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:2123-6. doi: 
      10.1109/EMBC.2015.7318808.