DocumentCode
3354235
Title
Safety models: an analytical tool for risk analysis of medical device systems
Author
Sayre, Kirk ; Kenner, Jim ; Jones, Paul L.
fYear
2001
fDate
2001
Firstpage
445
Lastpage
451
Abstract
Markov-chain models of software use have been used successfully to test software and to analyze the expected use of software systems. It is possible to augment a Markov-chain usage model of the expected use of a medical system, including hardware, software and human components, with information about the occurrence and mitigation of hazardous conditions. This augmented Markov-chain usage model, called a safety model, presents significant opportunities for the quantitative analysis of aspects of system safety
Keywords
Markov processes; biomedical equipment; medical computing; program testing; risk management; safety; Markov-chain model; hardware; hazardous conditions mitigation; hazardous conditions occurrence; human components; medical device systems; quantitative analysis; risk analysis; safety models; software systems expected use; software testing; software usage model; system safety analysis; Analytical models; Drugs; Hazards; Information analysis; Kirk field collapse effect; Neoplasms; Power system modeling; Risk analysis; Risk management; Safety devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on
Conference_Location
Bethesda, MD
ISSN
1063-7125
Print_ISBN
0-7695-1004-3
Type
conf
DOI
10.1109/CBMS.2001.941760
Filename
941760
Link To Document