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What you Need to Know about Clinical Evaluation & Validation for Software as a Medical Device (SaMD)
Episode 14720th May 2020 • Global Medical Device Podcast powered by Greenlight Guru • Greenlight Guru + Medical Device Entrepreneurs
00:00:00 00:36:53

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Does your software as a medical device (SaMD) function properly? Does it meet the needs of the end user? What are the expectations for post-market clinical surveillance and real world evidence for SaMD products in particular? In this episode of the Global Medical Device Podcast Jon Speer talks to Kevin Coker, co-founder and CEO of Proxima Clinical Research. Kevin shares tips and advice on what companies need to know about clinical evaluation and validation for their Software as a Medical Device (SaMD). Some of the highlights of the show include: - What IS SaMD? Software intended to be used for a medical purpose without being a part of the hardware of the medical device. - What ISN'T SaMD? Hardware that doesn’t need to be updated to function, such as a pacemaker or other embedded medical devices. - IMDRF documents capture, evaluate, and monitor SaMD categories of classification for critical or non-critical functions. - EU MDR delay means big changes to classification rules for categories, specifically SaMD status and amount of evidence that needs to be collected. - Three Key Components of Clinical Evaluation: - Scientific Validity: Does software have a valid clinical association between software and targeted clinical condition? - Analytical Validation: Does software correctly process data the same way, every time? - Clinical Validation: Does software accurately and reliably achieve the intended purpose for the target population? - Clinical Evaluation vs. Clinical Trial: Gather existing data for the same or similar intended use. A clinical trial is not always necessary to generate and justify evidence. - Importance of Independent Review(er): Objective outside party analyzes SaMD to make sure it’s safe and effective to use for critical decisions. - Real World Evidence: Collect a broad dataset to better understand adverse events, conditions, and comorbidities that impact a medical device on society.




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