Ontology-Based Decision Support System for Dietary Recommendations for Type 2 Diabetes Mellitus

2021 ◽  
pp. 735-741
Author(s):  
Maria Nisheva-Pavlova ◽  
Iliyan Mihaylov ◽  
Stoian Hadzhiyski ◽  
Dimitar Vassilev
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Dietary Recommendations

952-P: Improving Glycemic Management of Patients with Type 2 Diabetes in Acute Geriatric Care by Using a Basal Insulin Algorithm Incorporated into a Workflow and Decision Support System

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 952-P
Author(s):  
ANGELA LIBISELLER ◽  
KATHARINA M. LICHTENEGGER ◽  
JULIA KOPANZ ◽  
ANTONELLA DE CAMPO ◽  
TATJANA WIESINGER ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Basal Insulin ◽  
Geriatric Care ◽  
Glycemic Management ◽  
Acute Geriatric Care

scholarly journals A Mobile Computerized Decision Support System to Prevent Hypoglycemia in Hospitalized Patients With Type 2 Diabetes Mellitus

2016 ◽  
Vol 11 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Stephan Spat ◽  
Klaus Donsa ◽  
Peter Beck ◽  
Bernhard Höll ◽  
Julia K. Mader ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Decision Support ◽  
Feasibility Study ◽  
Health Care Professionals ◽  
Diabetes Management ◽  
Insulin Dose ◽  
User Acceptance

Background: Diabetes management requires complex and interdisciplinary cooperation of health care professionals (HCPs). To support this complex process, IT-support is recommended by clinical guidelines. The aim of this article is to report on results from a clinical feasibility study testing the prototype of a mobile, tablet-based client-server system for computerized decision and workflow support (GlucoTab®) and to discuss its impact on hypoglycemia prevention. Methods: The system was tested in a monocentric, open, noncontrolled intervention study in 30 patients with type 2 diabetes mellitus (T2DM). The system supports HCPs in performing a basal-bolus insulin therapy. Diabetes therapy, adverse events, software errors and user feedback were documented. Safety, efficacy and user acceptance of the system were investigated. Results: Only 1.3% of blood glucose (BG) measurements were <70 mg/dl and only 2.6% were >300 mg/dl. The availability of the system (97.3%) and the rate of treatment activities documented with the system (>93.5%) were high. Only few suggestions from the system were overruled by the users (>95.7% adherence). Evaluation of the 3 anonymous questionnaires showed that confidence in the system increased over time. The majority of users believed that treatment errors could be prevented by using this system. Conclusions: Data from our feasibility study show a significant reduction of hypoglycemia by implementing a computerized system for workflow and decision support for diabetes management, compared to a paper-based process. The system was well accepted by HCPs, which is shown in the user acceptance analysis and that users adhered to the insulin dose suggestions made by the system.

scholarly journals Designing Decision Support System to Detect Drug Interactions Type 2 Diabetes

2015 ◽  
Vol 23 (6) ◽  
pp. 336 ◽  
Author(s):  
Mehdi Rasoolimoghadam ◽  
Reza Safdari ◽  
Marjan Ghazisaeidi ◽  
MohammadReza Maharanitehrani ◽  
Shahram Tahmasebiyan
Keyword(s):  
Type 2 Diabetes ◽  
Decision Support ◽  
Decision Support System ◽  
Drug Interactions ◽  
Support System
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