Literature DB >> 10937360

Good design practice for medical devices and equipment, Part II: Design for validation.

K Alexander1, P J Clarkson.   

Abstract

Medical devices and their associated process equipment must be reliable and fit for purpose. In light of the recent changes to the medical device regulations, manufacturers must now take an integrated approach to design, development and validation. Good design practice encourages this integrated approach while ensuring fitness for purpose within commercial reality. A review of current literature related to good design practice carried out in Part I of this paper showed that there is inadequate guidance regarding the integration of validation with design. This paper proposes a practical approach to design for validation aimed at making devices easier and more economic to validate. The approach comes in the form of a model of design for validation that illustrates the basic relationship between design, development and validation and a series of design tactics that were formulated in order to help designers take a more proactive approach to validation during design.

Mesh:

Year:  2000        PMID: 10937360     DOI: 10.1080/030919000409311

Source DB:  PubMed          Journal:  J Med Eng Technol        ISSN: 0309-1902


  4 in total

Review 1.  Medical cyber-physical systems: A survey.

Authors:  Nilanjan Dey; Amira S Ashour; Fuqian Shi; Simon James Fong; João Manuel R S Tavares
Journal:  J Med Syst       Date:  2018-03-10       Impact factor: 4.460

2.  A review of the design process for implantable orthopedic medical devices.

Authors:  G A Aitchison; D W L Hukins; J J Parry; D E T Shepherd; S G Trotman
Journal:  Open Biomed Eng J       Date:  2009-07-02

3.  Robot-Assisted Fracture Surgery: Surgical Requirements and System Design.

Authors:  Ioannis Georgilas; Giulio Dagnino; Payam Tarassoli; Roger Atkins; Sanja Dogramadzi
Journal:  Ann Biomed Eng       Date:  2018-03-09       Impact factor: 3.934

4.  Articulating current service development practices: a qualitative analysis of eleven mental health projects.

Authors:  Gyuchan Thomas Jun; Cecily Morrison; P John Clarkson
Journal:  BMC Health Serv Res       Date:  2014-01-17       Impact factor: 2.655

  4 in total

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