GSO ISO 10993-1:2016
ISO 10993-1:2009
Gulf Standard
Historical
·
Approved on
22 December 2016
Biological evaluation of medical devices -- Part 1: Evaluation and testing within a risk management process
GSO ISO 10993-1:2016 Files
English
21 Pages
Historical
Reference Language
143.42 USD
GSO ISO 10993-1:2016 Scope
This part of ISO 10993 describes:
— the general principles governing the biological evaluation of medical devices within a risk management process;
— the general categorization of devices based on the nature and duration of their contact with the body;
— the evaluation of existing relevant data from all sources;
— the identification of gaps in the available data set on the basis of a risk analysis;
— the identification of additional data sets necessary to analyse the biological safety of the medical device;
— the assessment of the biological safety of the medical device.
This part of ISO 10993 does not cover testing of materials and devices that do not come into direct or indirect contact with the patient's body, nor does it cover biological hazards arising from any mechanical failure. Other parts of ISO 10993 cover specific tests, as indicated in the Foreword.
Best Sellers From Health Sector
GSO 2017:2023
Gulf Standard
Personal Care and Baby Wet Wipes
GSO 2241:2023
Gulf Standard
Cosmetic Products - Body Cleaners
GSO 2063:2023
Gulf Standard
Cosmetic Products - Hair Conditioner (Balsam)
GSO 1223:2023
Gulf Standard
Cosmetic Products-Deodorants
Recently Published from Health Sector
GSO ISO 11608-7:2024
ISO 11608-7:2016
Gulf Standard
Needle-based injection systems for medical use
— Requirements and test methods
— Part 7: Accessibility for persons with visual impairment
GSO ISO/TR 24666:2024
ISO/TR 24666:2023
Gulf Standard
Sports and recreational facilities
— Probes for entrapment/entanglement on playground equipment
— Collection of data
GSO ISO 9713:2024
ISO 9713:2022
Gulf Standard
Neurosurgical implants
— Self-closing intracranial aneurysm clips
GSO ISO/TS 22690:2024
ISO/TS 22690:2021
Gulf Standard
Genomics informatics
— Reliability assessment criteria for high-throughput gene-expression data