Abstract
Clinical decision-support functions of telemedicine systems use patient's monitored clinical data to support treatment of outpatients. However, the quality of monitored clinical data may vary due to performance variations of technological resources inside a deployed telemedicine system. This paper discusses models to compute quality of clinical data affected by quality of service provided by technological resources along the data processing and delivery chain between the point of monitoring and point of decision. We discuss prospective effects of quality of clinical data degradation on outpatient treatment with medical practitioners, and implement these effects in the clinical decision-making process during design time. Consequently, the designed telemedicine system is technological context and quality-aware and preserves patient's safety and treatment efficacy.
Original language | Undefined |
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Title of host publication | 16th IEEE International Conference on e-Health Networking, Healthcom 2014 |
Place of Publication | Brazil |
Publisher | IEEE |
Pages | 364-369 |
Number of pages | 6 |
ISBN (Print) | 978-1-4799-6644-8 |
DOIs | |
Publication status | Published - Oct 2014 |
Event | 16th IEEE International Conference on e-Health Networking - Natal, Brazil Duration: 15 Oct 2014 → 18 Oct 2014 Conference number: 16th http://healthcom2014.ieee-healthcom.org/ |
Publication series
Name | |
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Publisher | IEEE |
Conference
Conference | 16th IEEE International Conference on e-Health Networking |
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Abbreviated title | Healthcom 2014 |
Country/Territory | Brazil |
City | Natal |
Period | 15/10/14 → 18/10/14 |
Internet address |
Keywords
- EWI-24828
- BSS-Technology supported cognitive training
- Technological Context- and Quality-Aware Telemedicine
- METIS-312443
- Quality of Service
- IR-96276
- Computational Models
- Quality of Data