Central aim of organisation
Applied Research & Development in Health Technology
Briefly describe your organisation
The competence group Clinical Decision Support develops and studies intelligent software systems to provide safe and evidence-based support for complex clinical processes. It aims to enable professional medical decision-making and adequate patient care by providing modern ICT solutions directly at the point of care. Continuous cooperation with our partners enables us to optimally connect science and practical relevance in all of our projects.
Research & Development
|- ICT Applications |
- Ambient Assisted Living (Services for the Elderly)
- ICT Applications for Health
- Software- and Data Processing
- Databases, Database Management
- Knowledge Management
- Process Management
| - Digital Systems |
- Archiving, Documentation
- Electronic Data Interchange (EDI), Middleware
- Software Engineering and Testing
- Usability Engineering
- Systems- and Network Technology
- Internet Technologies
Development of software as a medical device (IEC 62304, ISO 13485), Client server technology, eHealth, mHealth, Telemedicine, Decision support system, Usability (IEC 62366), Software validation, Feasibility studies, Post market surveillance, Clinical trials
My organisation has been involved in projects funded by the following EU-programmes
Austrian Research and Development Projects
Spat, S., Donsa, K., Beck, P., Höll, B., Mader, J. K., Schaupp, L., ... & Pieber, T. R. (2017). A mobile computerized decision support system to prevent hypoglycemia in hospitalized patients with type 2 diabetes mellitus: lessons learned from a clinical feasibility study. Journal of diabetes science and technology, 11(1), 20-28.
Donsa, K., Beck, P., Höll, B., Mader, J. K., Schaupp, L., Plank, J., ... & Pieber, T. R. (2016). Impact of errors in paper-based and computerized diabetes management with decision support for hospitalized patients with type 2 diabetes. A post-hoc analysis of a before and after study. International journal of medical informatics, 90, 58-67.
Donsa, K., Spat, S., Beck, P., Pieber, T. R., & Holzinger, A. (2015). Towards personalization of diabetes therapy using computerized decision support and machine learning: some open problems and challenges. In Smart Health (pp. 237-260). Springer, Cham.
Neubauer, K. M., Mader, J. K., Höll, B., Aberer, F., Donsa, K., Augustin, T., ... & Schnedl, C. (2015). Standardized glycemic management with a computerized workflow and decision support system for hospitalized patients with type 2 diabetes on different wards. Diabetes technology & therapeutics, 17(10), 685-692.
Schaupp, L., Donsa, K., Neubauer, K. M., Mader, J. K., Aberer, F., Höll, B., ... & Plank, J. (2015). Taking a closer look—continuous glucose monitoring in non-critically ill hospitalized patients with type 2 diabetes mellitus under basal-bolus insulin therapy. Diabetes technology & therapeutics, 17(9), 611-618.
Inserted / Updated
2018-07-17 / 2018-10-04