Using a diabetes data mart in individualizing diabetes management.
Constantly changing diabetes care standards makes it challenging to deliver care adapted to the unique condition of the individual patient. The availability of large amounts of data from patient's electronic medical records makes it possible to individualize diabetes management. Initial design of a "patient-specific" hybrid system (physiological-causal probabilistic) of adaptive diabetes models and insulin treatment algorithms will be presented. The system is uniquely derived and tested using a diabetes data mart of about 33,000 patients.
Al-sheikh
Youssef T
YT
Department of Biomedical Informatics, School of Medicine, University of Utah, SLC, UT, USA.
Haug
Peter J
PJ
Wong
Anthony
A
Warner
Homer R
HR
Morris
Alan H
AH
Sward
Katherine
K
D020000:Decision Support Systems, Clinical; D003920:Diabetes Mellitus / Q000188:drug therapy*; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D007328:Insulin / Q000627:therapeutic use*; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*; D018802:Patient-Centered Care / Q000379:methods; D057285:Precision Medicine / Q000379:methods*; D014589:Utah
D007328:Insulin