Title :
Safety models: an analytical tool for risk analysis of medical device systems
Author :
Sayre, Kirk ; Kenner, Jim ; Jones, Paul L.
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;
Conference_Titel :
Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-1004-3
DOI :
10.1109/CBMS.2001.941760
