GlucoTab® - mobile solution to support blood sugar management in hospitalized type 2 diabetes patients
GlucoTab® is a software based system to improve blood sugar management in hospitalized type 2 diabetes patients. It consist of a central server and mobile tablet computers with the user interface, making it possible to treat the patient directly at the bedside.
GlucoTab® supports the clinical workflow
GlucoTab® enables the electronic planning, performance and documentation of all ward specific workflow steps necessary for managing blood sugar.
Medical doctors and nurses receive all relevant information context-sensitively. Workflow is additionally supported by a reminder application. Thus GlucoTab® allows a comprehensive electronic reproduction of the blood sugar management and relieves staff from administrative tasks.
GlucoTab® supports decision making at the point of care
GlucoTab® supports the clinical staff in the adjustment of daily and individual insulin dosage. Automatic insulin dosage proposals for long and short acting insulins are based on a rule-based algorithm. It considers previous and still active insulin doses as well as distribution across the day.
GlucoTab® is a CE marked medical device software. It was developed, verified and validated according to the stringent requirements of the medical device directive (according to ISO/IEC 62304).
Benefits and features
- Desicion support for medical doctors for prescription and daily adjustment of insulin doses
- Decision support for nursing staff in calculating individual insulin doses
- Reduction of mean blood sugar by up to 20% (confirmed in the clinical validation of the dosage protocol and the whole system)
- GlucoTab-system is a CE marked medical product since autumn 2014 and was developed, verified and validated according to the stringent guidelines of the medical device directive for software
- Intuitive usability due to the interdisciplinary and common development of the user interface with the clinical staff
- Easy, well-structured entry and clearly represented output of the most important medical parameters, such as blood sugar, insulin doses and meals
- GlucoTab relieves clinical staff by standardizing workflow
- Standardized interface to the medical information system
Clinical study results
GlucoTab® was evaluated in a clinical study with 99 patients at 4 different wards at the university hospital Graz.
Effectiveness: 72,5% of all blood sugar measurements are within the target range. This result is equivalent to current best-practice studies and is superior to standard care.
Safety: Compared to current studies with comparable therapies the risk for hypoglycemia is not enhanced (no serious hypoglycemic events; only 1.8% mild of all blood sugar levels were mild hypoglycemic events)
Acceptance: >95% of all planned work steps were carried out according to plan and the proposed insulin doses were accepted in >95% of all cases.
In principle GlucoTab® runs in any hospital providing a medical information system and WiFi.
- Server: Data processing and storage is performed on a server. Operation and data
- Datenverarbeitung und Speicherung werden am Server durchgeführt Betrieb und data back-up locally on site by the operator.
- Tablet computer: no requirements on the operator. Security measures like lock down of functions and Kiosk-mode are implemented.
- HL7 ADT interface for patient data: Configuration of the communication server by the operator.
- User authentification Windows Active Directory: Roles for medical doctors, nursing staff and optionally nursing assistants must be assigned.
- WiFi: 100% WiFi coverage for the range of use of the tablet computers. Linking of the tablet computers to the internal WiFi by the operator.
- Schaupp L, Donsa K, Neubauer KM, et al. Taking a Closer Look—Continuous Glucose Monitoring in Non-Critically Ill Hospitalized Patients with Type 2 Diabetes Mellitus Under Basal-Bolus Insulin Therapy. Diabetes Technol Ther. 2015;150430131357006.
- Neubauer KM, Mader JK, Aberer F, et al. Standardized Glycemic Management with a Computerized Workflow and Decision Support System for Hospitalized Patients with Type 2 Diabetes on Different Wards. 2015;17(10):1–8.
- Donsa K, Beck P, Plank J, et al. A toolbox to improve algorithms for insulin-dosing decision support. Appl Clin Inform. 2014 Jan;5(2):548–56.
- Mader JK, Neubauer KM, Schaupp L, et al. Efficacy, usability and sequence of operations of a workflow-integrated algorithm for basal-bolus insulin therapy in hospitalized type 2 diabetes patients. Diabetes Obes Metab. 2013 Aug 1;16(2):137–46.
- Neubauer KM, Schaupp L, Plank J, et al. Failure to control hyperglycemia in noncritically ill diabetes patients despite standard glycemic management in a hospital setting. J Diabetes Sci Technol. 2013 Jan;7(2):402–9.