On 2 February 2024, the US Food and Drug Administration (FDA) published its much anticipated final rule amending the medical device Quality System Regulation, which sets out the FDA’s quality management system (QMS) requirements for medical devices. The amendments seek to align more closely with International Standard Organization (ISO) standard 13485:2016, Medical Devices —
On 22 February 2022, the U.S. Food and Drug Administration (FDA or the Agency) announced that it was issuing a proposed rule to align the Agency’s current Good Manufacturing Practice (GMP) requirements for medical devices, codified at 21 C.F.R. Part 820 and known as the Quality System Regulation, with the international consensus standard ISO 13485:2016 (the ISO). This reflects a years-long effort by the Agency to better harmonise the U.S. requirements with that of many foreign regulators. For example, in the European Union, the ISO is listed in the EU legislation, meaning that a medical device that conforms to this standard is presumed to be in conformity with the EU regulatory requirements on quality management systems for medical devices. This harmonisation should, therefore, provide some consistency between jurisdictions and enable companies to streamline their processes between countries.
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The UK’s Medicines and Healthcare products Regulatory Authority (MHRA), the US Food and Drug Administration (FDA) and Health Canada have recently published a joint statement identifying ten guiding principles to help inform the development of Good Machine Learning Practice (GMLP). The purpose of these principles is to “help promote safe, effective, and high quality medical devices that use artificial intelligence and machine learning (AI/ML)”.
The development and use of medical devices that use AI and ML has grown considerably over the last few years and will continue to do so. It has been recognised that such technologies have the potential to transform the way in which healthcare is deployed globally, through the analyse of vast amounts of real-world data from which software algorithms can learn and improve. However, as these technologies become more complex and nuanced in their application, this brings into question how they should be overseen and regulated. Crucially, it must be ensured that such devices are safe and beneficial to those who use them, whilst recognising associated risks and limitations.Continue Reading Ten International Guiding Principles on Good Machine Learning in Medical Devices
In May 2021, the U.S. Food and Drug Administration (FDA) published a draft guidance (Draft Guidance) addressing the requirement for all investigators involved in clinical trials conducted under a U.S. Investigational New Drug (IND) application to sign Form FDA 1572. This includes investigators in clinical trial sites outside the U.S.
By signing Form FDA 1572 (Form 1572), the investigator of a drug or biologic trial warrants that they and any listed staff have the experience and background needed to conduct the trial and agrees to comply with the protocol and all applicable U.S. regulatory provisions governing the conduct of clinical trials. From an FDA standpoint, it provides a clear basis of responsibility (and potential liability) under the applicable clinical trial regulations (21 CFR 312) for those who sign the form. It also raises questions about the extent of FDA’s extraterritorial reach over non-U.S. investigators who conduct IND studies outside of the United States.Continue Reading FDA Guidance on Clinical Investigators Signing Form FDA 1572 and Practical Challenges Outside the US
On 6 July 2017, the European Medicines Agency (EMA) and the US Food and Drug Administration (FDA) announced a joint proposal to promote the use of innovative approaches to paediatric drug development. The proposal focuses on paediatric Gaucher disease, but the intention is for the principles underlying the so-called “strategic collaborative approach” to be extended to other areas of development for rare paediatric diseases.
The collaborative approach was considered necessary as, given the limited number of patients with Gaucher disease, identifying multiple candidate target products, and running multiple clinical trials, may actually hinder the development of an effective treatment.
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