Analysis and processing of data in a hospital-based diabetes management system.
Both short-term care (blood glucose monitoring) and long-term care (clinical examinations) of diabetes generate an ample amount of data for each patient. Health care in hospitals has to provide services with respect to both demands. The quality of control depends on obtaining the right finding at the right time and taking the individually adequate measures. These repetitive activities follow to a certain extent standardized algorithms and computer-programs are able to support demands like this; however, up to now no attempts have been made to provide useful tools for this environment. DIALIN is a data-bank especially designed for the use in hospitals or outclinics and Camit is a diabetes management system for advanced evaluation of long-term blood glucose monitoring data. The expert-system DIACONS up to now determines diabetes type and adequate initial therapy from data of patients' history alone; it operates on the DIALIN-databank via SQL. DIALIN has proven to be a useful tool for data-processing in hospitals. Camit was well accepted by patients in a feasibility study. DIACONS has been tested with 83 diabetic patients to provide the correct diabetes-type and the proper initial regimen with a precision of 96% compared to the correspondence between two independent experts. The combination of all three systems is a step towards the Munich Medical Information system MAMIS.
Piwernetz
K
K
Diabetes-Center Bogenhausen, III. Medizinische Abteilung, Klinikum Bogenhausen, München, Germany.
Renner
R
R
Möhrlein
A
A
Steiner
M
M
Hepp
K D
KD
Engelbrecht
R
R
Schneider
J
J
van Eimeren
W
W
D015190:Blood Glucose Self-Monitoring; D016208:Databases, Factual; D003920:Diabetes Mellitus / Q000097:blood / Q000628:therapy*; D005240:Feasibility Studies; D006801:Humans; D007297:Inpatients; D016347:Medical Records Systems, Computerized