Development of a multidisciplinary and telemedicine focused system database
- Tele-rehabilitation at home is one of the promising approaches in increasing rehabilitative success and simultaneously decreasing the financial burden on the healthcare system. Objectives: Novel and mostly mobile devices are already in use, but shall be used in the future to a higher extent for allowing at home rehabilitation processes at a high quality level. The combination of exercises, assessments and available equipment is the basic objective of the presented database. Methods: The database has been structured in order to allow easy-to-use and fast access for the three main user groups. Therapists – looking for exercise and equipment combinations – patients – rechecking their tasks for home exercises – and manufacturers – entering their equipment for specific use cases. Results: The database has been evaluated by a proof of concept study and shows a high degree of applicability for the field of rehabilitative medicine. Currently it contains 110 exercises/assessments and 111 equipment/systems. Conclusion: Foundations of presented database are already established in the rehabilitative field of application, but can and will be enhanced in its functionality to be usable for a higher variety of medical fields and specificatios.
Author: | Richard PastekaORCiD, Mathias ForjanORCiD, Stefan SauermannORCiD |
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Parent Title (English): | Health Informatics meets eHealth. Digital Insight – Information-Driven Health & Care Proceedings of the 11th eHealth2017 Conference (Studies in Health Technology and Informatics, Volume 236) |
Publisher: | IOS Press eBooks |
Document Type: | Conference Proceeding |
Language: | English |
Completed Date: | 2017/01/01 |
Responsibility for metadata: | Fachhochschule Technikum Wien |
Release Date: | 2022/09/05 |
GND Keyword: | e-Health; telemedicine |
First Page: | 144 |
Last Page: | 151 |
Publish on Website: | 1 |
Open Access: | 1 |
Reviewed: | 1 |
Link to Publication: | doi: 10.3233/978-1-61499-759- 7-144 |
Invited: | 0 |
Keynote: | 0 |
Department: | Department Life Science Engineering |
Research Focus: | Data-Driven, Smart & Secure Systems |
Projects: | Eigenmittel |
Studienjahr: | 2016/2017 |
Licence (German): | Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International |