Safeware: system safety and computers
Safeware: system safety and computers
IBM experiments in soft fails in computer electronics (1978–1994)
IBM Journal of Research and Development - Special issue: terrestrial cosmic rays and soft errors
Fault-tolerant computer system design
Fault-tolerant computer system design
Software fault tolerance techniques and implementation
Software fault tolerance techniques and implementation
Safety Critical Computer Systems
Safety Critical Computer Systems
Detecting Soft Errors by a Purely Software Approach: Method, Tools and Experimental Results
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe: Designers' Forum - Volume 2
The Soft Error Problem: An Architectural Perspective
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
The HEAT/ACT preliminary safety case: a case study in the use of goal structuring notation
SCS '04 Proceedings of the 9th Australian workshop on Safety critical systems and software - Volume 47
Combining software evidence: arguments and assurance
REBSE '05 Proceedings of the 2005 workshop on Realising evidence-based software engineering
Software-Based Failure Detection and Recovery in Programmable Network Interfaces
IEEE Transactions on Parallel and Distributed Systems
Demonstration of safety in healthcare organisations
SAFECOMP'06 Proceedings of the 25th international conference on Computer Safety, Reliability, and Security
Establishing evidence for safety cases in automotive systems: a case study
SAFECOMP'07 Proceedings of the 26th international conference on Computer Safety, Reliability, and Security
Goal-based safety cases for medical devices: opportunities and challenges
SAFECOMP'07 Proceedings of the 26th international conference on Computer Safety, Reliability, and Security
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In hospitals today, there is a trend towards the integration of different devices. Clinical workflow demands are growing for the integration of formally independent devices such as ventilator systems and patient monitoring systems. On one hand, this optimizes workflow and reduces training costs. On the other hand, testing complexity and effort required to ensure safety increase. This in turn gives rise to new challenges in the design of such systems. System designers must change their mindset because they are now designing a set of distributed systems instead of a single system which is only connected to a central monitoring system. In addition, the complexity of such workstation systems is much higher than that of individual devices. This paper presents a case-study on an intensive care workstation. To cope with this complexity, different use-cases have been devised and a set of safety goals have been defined for each use-case. The influence of the environment on the use-cases is highlighted and some measures to ensure data integrity within the workstation system are shown.