Dynamic generation of technical documentation for medical devices

Tobias Lueddemann, Helena Bebert, Jonas Schiebl, Tim C. Lueth

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper the concept of a novel software tool for dynamic generation of technical documentation of medical devices is presented. The system is based on a relational database and increases reciprocity between sections of the technical documentation (e.g. intended purpose, classification, risk analysis, verifications and tests) through relational links. An algorithm for semi-automatic classification of medical devices according to Annex IX of the European medical device directive was implemented and experimentally compared to manual classification. The algorithmic classification was significantly faster than manual with an error probability of 0,1%. The results show that algorithmic classification is more than equal to manual classification with the benefit of structured data entry, which can be linked to further sections of the documentation such as risk analysis.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2043-2048
Number of pages6
ISBN (Electronic)9781479973965
DOIs
StatePublished - 20 Apr 2014
Event2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 - Bali, Indonesia
Duration: 5 Dec 201410 Dec 2014

Publication series

Name2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014

Conference

Conference2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
Country/TerritoryIndonesia
CityBali
Period5/12/1410/12/14

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