Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems
DOI: 10.1109/cbms.2004.1311722
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Clinical decision support with IM-agents and ERMA multi-agents

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Cited by 13 publications
(5 citation statements)
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“…It will help the doctor as the department to get familiar with incoming emergency patient's vitals. The projects which use multi-agent systems in automation of hospital are, ERMA [29], Akogrimo [30] and CASCOM [31]. Akogrimo [30] is a project made to integrate intelligent sensor networks in hospitals to make it smart.…”
Section: Hospital Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…It will help the doctor as the department to get familiar with incoming emergency patient's vitals. The projects which use multi-agent systems in automation of hospital are, ERMA [29], Akogrimo [30] and CASCOM [31]. Akogrimo [30] is a project made to integrate intelligent sensor networks in hospitals to make it smart.…”
Section: Hospital Applicationsmentioning
confidence: 99%
“…It can be deployed for emergency detection and providing subsequent rescue decisions. ERMA [29] assists in diagnosis by providing suggestions to the healthcare professional in a catastrophic health complication like a heart attack. It has a knowledge base and provides suggestions by integrating data through fuzzy logic, trend analysis and qualitative logic.…”
Section: Hospital Applicationsmentioning
confidence: 99%
“…If we also consider the triggering of emergencies and access of current physiological signals, these applications spans the bridge between the caretaker and patient's site. Three of the most interesting projects that use multi-agent systems are: ERMA (Mabry et al, 2004), Akogrimo (Racz et al, 2007) and CASCOM (Schumacher et al, 2008).…”
Section: E-health Multi-agent Systemsmentioning
confidence: 99%
“…From what we described above, multi-agent systems have a potential of becoming a key ingredient of next-generation e-health services and applications. Actually, in the last ten years, they have already been used for realizing e-health applications targeting diverse needs, e.g., assistive living (Jih et al, 2006;K4CARE, 2007), diagnostic (Croitoru et al, 2007;Hadzic et al, 2006), physiological telemonitoring (Amft & Habetha, 2007;Gao et al, 2007;Laleci et al, 2008;MobiHealth, 2004;Rialle et al, 2003; U-R-SAFE, 2005) and smart hospital and smart emergency applications (Akogrimo, 2007;Mabry et al, 2004;Schumacher & Helin, 2008).…”
Section: The Case Of Smart Emergency Applicationsmentioning
confidence: 99%