PubMed Health⌕ Search

PubMed · 11604697

A formal framework for modelling and validating medical systems.

Abstract

Medical computerised systems which have a major effect on human lives (e.g. those used for diagnosis, therapy, surgery, in the intensive care units, etc) are considered as safety critical systems. Such systems are sometimes responsible for major damages and injuries due to unpredicted malfunction. Misleading user requirements, errors in the specification and in the implementation are the usual reasons responsible for non-safe systems. This paper advocates the use of an integrated formal framework based on a computational machine (X-Machine), in the development of safety critical medical systems. This formal framework gives the ability to intuitively as well as formally model a system, then automatically check if the produced model has all the desired properties, and finally test if the implementation is equivalent to the specification by applying a complete set of test cases. Therefore, the use of this framework in the development of systems in safety critical medical domains can assure that the final product is valid with respect to the user requirements by revealing errors during the whole development life cycle and subsequently add to the confidence of their use. The proposed framework is accompanied by an example, which demonstrates the use of X-Machines in specification, testing and verification.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G Eleftherakis. 2001. A formal framework for modelling and validating medical systems.. https://pubmed.ncbi.nlm.nih.gov/11604697/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

[The informatics process in health: subjects discussed in articles published from 1978 to 1998].

The principal themes are described approached in goods of indexed newspapers, in two bases of available data in Internet, in the period from 1978 to 1998. Consultations were accomplished BIREME, through Internet, being used the descriptors in several orders. A total of 54 goods was obtained that were codified and tabulated. It was ended that, in the studied sample, the thematic of the researches developed on computer science in health had a profile change that passed of theoretical studies for applications in the work atmosphere.

Medical Informatics↗

Theory, abstraction and design in medical informatics.

OBJECTIVE: To analyze the scientific and engineering components of Medical Informatics. A clear characterization of these components should be undertaken to categorize different areas of Medical Informatics and create a research agenda for the future. METHODS: We have adapted a classical ACM and IEEE report on computing to analyze Medical Informatics from three different viewpoints: Theory, Abstraction, and Design. RESULTS: We suggest that Medical Informatics can be considered from these three perspectives: (1) Theory, from which medical informaticians formally characterize the properties of the objects of study, creating new theories or using and adapting existing theories (e.g., from mathematics), (2) Abstraction, from which medical informaticians deal with all aspects of medical information and create new abstractions, methods, and technology-independent models, which can be experimentally verified, and (3) Design, from which medical informaticians develop systems or act as information brokers or advisors between medical and technology professionals, to improve the quality of computer applications in medicine. CONCLUSION: Based on this framework, we suggest that Medical Informatics has an independent scientific character, different from other applied informatics areas. Finally, we analyze these three perspectives using data mining in medicine.

Medical Informatics↗

A UK operational practitioner view--some challenges of health informatics are trans-national.

OBJECTIVE: To explore the relevance of catalysts and inhibitors to the achievement of an inclusive identity for health informatics; particularly from an operational perspective in the UK. METHODS: Consideration of the different dimensions of health informatics, as practiced in a working healthcare delivery environment; specifically commenting on the synergy and disjunctions with academic and scientific practitioners in the some domain. RESULTS AND CONCLUSIONS: There appear to be common ground and internationally applicable issues across the domain. Recognizing the differences and similarities will contribute towards harmonisation of the field and its ultimate elevation to a mature discipline and profession.

Medical Informatics↗