Easy Medical Device Podcast

From Virtual Reality Innovation to Medical Device Compliance: The Story of Pedro Thomaz and RevertMany healthcare technology startups begin with a simple objective: develop an innovative solution that addresses a real problem.They focus on technology, product development, customer needs, and demonstrating the value of their solution.But what happens when they discover that entering the healthcare market also means complying with medical device regulations?For a small technology company, that discovery can introduce unexpected challenges involving regulatory requirements, documentation, testing, clinical evidence, costs, and timelines.In this episode of Medical Device Made Easy, Monir El Azzouzi welcomes Pedro Thomaz from Revert, a company developing virtual reality solutions for healthcare.Pedro shares the journey of a small technology company that moved from developing a VR solution to navigating the European medical device regulatory framework.The conversation explores the challenges, decisions, external support, and lessons that shaped the company's path toward CE marking.From a Virtual Reality Idea to a Healthcare SolutionVirtual reality technology offers opportunities to create immersive experiences and explore new applications in healthcare.But developing a technological solution and bringing a regulated medical device to market are two different challenges.Pedro takes us back to the beginning of Revert's journey.How did the original idea emerge? What problem was the company trying to solve? Why did it initially focus on nursing homes?The discussion explores how the company's early experiences influenced the development of its VR solution and its ambitions within the healthcare sector.The Unexpected Discovery: We Needed to Become a Medical Device ManufacturerOne of the defining moments in the company's journey came when it began approaching hospitals.What had started as a technology project now required consideration of medical device regulatory requirements.For a startup without previous experience in this field, the situation raised several important questions.Where should we begin?What requirements apply to our product?How much will compliance cost?Do we have the knowledge and resources to manage this process?The episode explores how Pedro and his team responded to this unexpected challenge and what convinced them to continue.Understanding Medical Device Regulatory RequirementsMoving into the medical device industry requires companies to develop an understanding of their regulatory responsibilities.For technology-focused startups, this may involve unfamiliar concepts such as intended purpose, device classification, risk management, clinical evaluation, Technical Documentation, and conformity assessment.Pedro discusses how the team approached these requirements and what they learned while preparing for compliance.The conversation also explores the challenges of identifying the necessary activities and deciding which responsibilities could realistically be handled internally.Why External Regulatory Support MattersSmall companies rarely have unlimited resources or large regulatory departments.When facing unfamiliar regulatory requirements, working with external specialists can provide valuable support.Pedro explains how Revert identified an external regulatory partner and why the company decided to seek assistance.The discussion examines the division of responsibilities between the internal team and external experts.It also considers an important question for other startups:Would involving regulatory professionals earlier have made the journey easier?For companies entering the medical device industry, understanding when to seek external expertise can be an important part of planning.How Compliance Affects Product DevelopmentBecoming a medical device manufacturer isn't simply about preparing documentation.Regulatory requirements may influence how a product is designed, developed, tested, and evaluated.For Revert, the journey raised questions about the technical and clinical evidence needed to support its VR solution.The episode explores whether the company needed to modify its development approach, perform additional testing, or prepare new documentation.It also examines the role of healthcare professionals in evaluating the technology and supporting its intended medical applications.Managing Costs and Workload as a Small CompanyRegulatory compliance can introduce significant challenges for startups operating with limited financial and human resources.Documentation, testing, external expertise, and regulatory activities all require time and investment.At the same time, the company must continue developing its product, supporting customers, and managing daily business operations.Pedro shares the challenges of balancing these responsibilities and reflects on the activities that required the greatest effort.The conversation offers a practical perspective on how small technology companies can approach regulatory work without the resources of a large medical device manufacturer.The Journey Toward CE Marking and Registration in PortugalAn important milestone in Revert's journey was completing the applicable Class I conformity process and registration activities.Pedro discusses the final stages of preparing the company and its documentation for the European market.The episode also explores Revert's experience with INFARMED, the Portuguese competent authority.Topics include documentation readiness, registration activities, and any questions or challenges encountered during the process.The experience provides a real-world perspective on the steps a small company may need to navigate before placing its medical device on the market.CE Marking Is Not the End of Regulatory ComplianceReaching the market is an important milestone, but it doesn't mean that regulatory responsibilities disappear.Medical device manufacturers must continue to manage their products throughout their lifecycle.This includes maintaining appropriate documentation, monitoring product performance, managing feedback, and addressing relevant regulatory obligations.The conversation explores how Revert approaches ongoing compliance with a small team and what the company learned after entering the market.CE marking is a milestone in the regulatory journey—not the end of it.Preparing for Future GrowthAs healthcare technology companies grow, their regulatory strategies may also need to evolve.New applications, changes to intended purpose, additional clinical evidence, and expansion into new markets can introduce further requirements.Pedro discusses Revert's future ambitions and how the company is considering the regulatory implications of growth.The episode also explores what a move to a higher medical device classification could mean for a small company and the challenges associated with international expansion.Lessons for Other Medical Device StartupsLooking back at the entire journey, Pedro reflects on the challenges that were more difficult than expected and the decisions that helped the company move forward.What would he do differently?Which mistakes could other startups avoid?And what advice would he give to a technology company that is just beginning to explore healthcare applications?These questions are particularly relevant for entrepreneurs who may not yet realize that their product could fall within the scope of medical device regulation.Discover Revert's Virtual Reality SolutionsBeyond the regulatory journey, the episode also introduces Revert's current activities and virtual reality solutions.Pedro discusses the company's approach, the healthcare environments it works with, and potential opportunities for collaboration.Listeners interested in VR applications in healthcare can learn more about the company's technology and the types of partnerships it is seeking.Final Takeaway: Consider Regulatory Requirements EarlyThe journey from an innovative technology idea to a regulated medical device can involve challenges that startups don't initially anticipate.For Revert, developing a virtual reality solution was only part of the story.Understanding regulatory requirements, finding appropriate external support, preparing documentation, managing resources, and navigating the European market-entry process became essential elements of the company's development.The experience highlights an important lesson for healthcare technology entrepreneurs:Don't wait until your product is ready for hospitals to investigate whether it qualifies as a medical device.Understanding regulatory requirements early can help companies make better development decisions, plan resources, and avoid unnecessary surprises.🎙️ In this episode of Medical Device Made Easy, Pedro Thomaz from Revert shares the real-world challenges and lessons behind the company's journey toward CE marking.Because bringing innovation to healthcare requires more than great technology—it also requires a clear path to regulatory compliance.Who is Monir El Azzouzi? Monir El Azzouzi is the founder and CEO of Easy Medical Device a Consulting firm that is supporting Medical Device manufacturers for any Quality and Regulatory affairs activities all over the world. Monir can help you to create your Quality Management System, Technical Documentation or he can also take care of your Clinical Evaluation, Clinical Investigation through his team or partners. Easy Medical Device can also become your Authorized Representative and Independent Importer Service provider for EU, UK and Switzerland. Monir has around 16 years of experience within the Medical Device industry working for small businesses and also big corporate companies. He has now supported around 100 clients to remain compliant on the market. His passion to the Medical Device filed pushed him to create educative contents like, blog, podcast, YouTube videos, LinkedIn Lives where he invites guests who are sharing educative information to his audience. Visit ea

 Exploring AI-Assisted Clinical Evaluation with Ethan Drower from CiteMedArtificial Intelligence is changing how medical device companies approach documentation, information management, and regulatory activities.One area attracting increasing attention is Clinical Evaluation.AI-powered tools promise to support literature reviews, organize clinical evidence, generate structured documentation, and potentially reduce the time required to prepare Clinical Evaluation Reports (CERs).But an important question remains:Can AI actually write a Clinical Evaluation Report, or does the process still depend on experienced clinical evaluation professionals?In this episode of Medical Device Made Easy, we welcome Ethan Drower from CiteMed to explore the practical possibilities and limitations of AI-assisted clinical evaluation.The conversation follows the journey from preparing the necessary inputs to reviewing the finished documentation, examining where AI may provide value and where qualified human expertise remains essential.Can Someone Without Clinical Evaluation Experience Use AI to Write a CER?One of the most important questions surrounding AI-assisted clinical evaluation is whether these tools make the process accessible to professionals without specific clinical evaluation experience.Could a QA/RA professional who has never written a Clinical Evaluation Report use AI software to prepare one?And if so, where would they still need guidance?The episode explores the difference between using software to generate documentation and possessing the expertise required to assess its scientific and regulatory adequacy.While AI may assist with certain activities, interpreting clinical evidence, evaluating its relevance, and supporting conclusions require appropriate knowledge and judgment.Preparing the Right Inputs Before Using AIA useful clinical evaluation workflow begins long before opening an AI tool.Manufacturers need to understand the device being evaluated and establish a clear foundation for the evaluation.This includes:Device information and characteristics.Intended purpose and clinical claims.Available clinical evidence.Clinical evaluation strategy.Documentation structure and templates.The discussion also considers how document templates can influence AI-assisted workflows.A clear and consistent structure may support efficient documentation, while poorly designed templates can introduce unnecessary complexity.AI output depends heavily on the quality and organization of the information provided.How Can AI Support Literature Review and Evidence Collection?Literature review is a critical component of clinical evaluation and can involve significant effort.Identifying relevant publications, screening search results, extracting information, and organizing evidence all require time and attention.The episode explores how AI tools may assist with different stages of this process, including literature screening, summarization, and the preparation of evidence tables.However, AI-generated recommendations should not automatically determine which studies are included or excluded.Qualified evaluators must assess the relevance, quality, and applicability of the evidence.The objective is to explore how automation can reduce repetitive work without weakening the scientific foundation of the clinical evaluation.From Clinical Evidence to a Draft Clinical Evaluation ReportOnce relevant evidence has been collected, the next challenge is transforming it into coherent clinical evaluation documentation.AI may help organize information and prepare draft sections, but a Clinical Evaluation Report must do more than summarize publications.It needs to connect the available evidence to the device's intended purpose, clinical claims, safety, and performance.The conversation explores how AI-assisted workflows can support this process while maintaining traceability.Important questions include:Can every significant statement be traced back to its source?Does the available evidence actually support the proposed conclusion?What happens when the evidence is incomplete, conflicting, or insufficient?These questions demonstrate why clinical evaluation remains an evidence-based professional activity rather than simply a documentation exercise.A Convincing AI-Generated CER Is Not Necessarily a Good CERGenerative AI can produce professional-looking documentation.But clear writing and confident conclusions do not automatically demonstrate scientific validity.The episode examines how experienced professionals can evaluate AI-generated reports and identify potential problems.These may include unsupported claims, missing information, inaccurate summaries, inappropriate interpretation of evidence, or conclusions that are not justified by the available data.The quality of a Clinical Evaluation Report depends on the quality of its evidence and reasoning—not simply how well it is written.Appropriate review and approval remain essential parts of the process.Can AI Really Save Time and Resources?Efficiency is one of the main reasons manufacturers are interested in AI-assisted clinical evaluation.But where can meaningful savings actually occur?The discussion explores activities that may benefit from automation, including literature screening, information extraction, evidence organization, and initial drafting.It also considers the work that continues to require significant human effort, such as critical appraisal, interpretation, review, and approval.Another important consideration is whether the benefits differ between preparing a first Clinical Evaluation Report and updating an existing one.For manufacturers evaluating AI tools, the key is to measure practical value rather than assuming that automation will automatically reduce overall costs.Training Teams and Introducing AI into Clinical EvaluationAdopting AI-assisted clinical evaluation involves more than learning how to operate software.Teams need to understand the clinical evaluation process itself, the limitations of the technology, and the controls necessary to maintain reliable documentation.The episode explores how manufacturers can introduce these workflows through manageable pilot projects.It also examines when existing AI tools may be sufficient and when a dedicated platform could provide additional support.For experienced clinical evaluation writers, successful adoption may depend on demonstrating how the technology can complement their expertise rather than attempting to replace their established methods.Discovering CiteMed's ApproachDuring the conversation, Ethan Drower also introduces CiteMed and discusses its approach to supporting clinical evaluation activities.The discussion includes the types of workflows its platform supports, the professionals it is designed for, and the onboarding or training available to customers.This provides an opportunity to understand how dedicated software solutions may fit into existing clinical evaluation processes.Final Takeaway: AI Can Assist, but Clinical Judgment Still MattersArtificial Intelligence has the potential to support clinical evaluation workflows by helping professionals manage information, organize evidence, and prepare documentation more efficiently.However, clinical evaluation cannot be reduced to automatically generating a report.It requires a clear evaluation strategy, appropriate evidence, scientific reasoning, traceability, and qualified review.AI can help write the document. But qualified professionals must ensure that the evidence supports the conclusions.For medical device manufacturers, the opportunity lies in combining the efficiency of AI-assisted tools with the knowledge and judgment of experienced clinical evaluation professionals.🎙️ In this episode of Medical Device Made Easy, Ethan Drower from CiteMed helps explore what that balance could look like in practice.Can AI really write your Clinical Evaluation Report? Discover where technology can help—and where human expertise remains indispensable.Who is Monir El Azzouzi? Monir El Azzouzi is the founder and CEO of Easy Medical Device a Consulting firm that is supporting Medical Device manufacturers for any Quality and Regulatory affairs activities all over the world. Monir can help you to create your Quality Management System, Technical Documentation or he can also take care of your Clinical Evaluation, Clinical Investigation through his team or partners. Easy Medical Device can also become your Authorized Representative and Independent Importer Service provider for EU, UK and Switzerland. Monir has around 16 years of experience within the Medical Device industry working for small businesses and also big corporate companies. He has now supported around 100 clients to remain compliant on the market. His passion to the Medical Device filed pushed him to create educative contents like, blog, podcast, YouTube videos, LinkedIn Lives where he invites guests who are sharing educative information to his audience. Visit easymedicaldevice.com to know more.  If you need help implementing QMSR or preparing your teams for FDA inspections, contact: [email protected] Drower's linkedin: https://www.linkedin.com/in/ethandrower/CiteMed: https://citemed.com/podcast-materials/CiteMed's linkedin: https://www.linkedin.com/company/getcitemed/Social Media to followMonir El Azzouzi Linkedin: https://linkedin.com/in/melazzouziTwitter: https://twitter.com/elazzouzimPinterest: https://www.pinterest.com/easymedicaldeviceInstagram: https://www.instagram.com/easymedicaldevice This podcast is hosted by Podcastics, the easiest platform to create and publish your podcast.

Small Business, Smart Start: AI Without Complex InfrastructureArtificial Intelligence is creating new opportunities for businesses to improve productivity, simplify workflows, and reduce repetitive administrative work.However, for many small medical device companies, adopting AI can feel overwhelming.Where should you begin? Which processes are worth automating? Do you need expensive infrastructure or a dedicated development team? And how can you ensure that an AI assistant delivers reliable results?In this episode of Medical Device Made Easy, we welcome Helder Conceicao to explore how small businesses can take their first practical steps with AI agents.With experience in service engineering, business processes, and supporting AI adoption in small companies, Helder brings a practical perspective to a topic that is often presented as more complicated than it needs to be.Understanding AI Agents: Beyond Traditional ChatbotsMany professionals have already experimented with AI tools to answer questions, draft emails, or summarize information.But an AI agent introduces a different way of thinking about how AI can support business processes.Rather than focusing only on individual conversations, the discussion explores how AI assistants can support defined tasks and workflows.Helder explains the differences between traditional chatbots and AI agents, including what these solutions can accomplish and where human involvement remains necessary.The objective is to help business owners understand the practical possibilities before investing in a solution.Choosing the Right First AI ProjectOne of the biggest challenges in AI adoption is deciding where to begin.Businesses may have dozens of processes that could potentially benefit from automation, but not every task is a good starting point.The conversation explores how to identify a first project based on a genuine operational need.For medical device companies, potential areas to investigate include:Documentation: Supporting document preparation, organization, and information retrieval.Quality and Regulatory Affairs: Assisting with administrative activities and information management while maintaining appropriate human review.Field Service: Exploring ways to support service-related workflows and routine processes.The key is to identify a manageable use case with a clear purpose and measurable value.From an Idea to a Working AI AssistantOnce a company has identified a suitable process, what happens next?The episode explores the journey from an initial business problem to a functioning AI solution.This includes understanding what information the company needs to prepare, how the workflow should operate, and what technical resources may be required.An important part of the discussion is determining whether an existing AI platform can meet the company's needs or whether additional development and infrastructure are necessary.For smaller organizations, these decisions can have a significant impact on project complexity, cost, and implementation time.How Much Does AI Implementation Really Require?Cost and resources are common concerns for businesses considering AI.Does every AI project require a large budget? How much time should the company expect to invest? And how involved does the internal team need to be?Helder discusses the practical considerations behind planning an AI implementation, including the importance of defining the project's scope and understanding the resources required.The goal is to help businesses approach AI adoption with realistic expectations rather than assuming that every solution requires a major technology investment.Keeping Humans in ControlFor medical device companies, automation must be considered alongside reliability, accountability, and appropriate oversight.Not every task should be delegated to AI without review.The conversation addresses how to determine which activities an AI assistant can support independently and which require a qualified person to review, approve, or make the final decision.It also explores how businesses can test whether an AI assistant is sufficiently reliable for its intended task, particularly when working with important company documents.AI should support better business processes without removing necessary human judgment and responsibility.Measuring the Value of Your First AI ProjectImplementing an AI assistant is only the beginning.The next question is whether the solution actually improves the business process it was designed to support.The discussion examines common challenges encountered during initial AI projects and how businesses can evaluate their results.Potential considerations include time saved, reduced repetitive work, improved workflow efficiency, and the level of human intervention still required.Understanding these outcomes can help a company decide whether to improve its first solution or move toward another use case.Building Independence and Long-Term CapabilityAn AI solution should not necessarily leave a company dependent on the person who originally developed it.The episode also explores the importance of documentation, knowledge transfer, and ongoing support.Helder discusses how businesses can understand the solutions implemented for them, how they may operate those solutions independently, and what additional assistance could be available after deployment.This is particularly relevant for small companies that want to develop their internal capabilities while keeping their technology manageable.Final Takeaway: Start Small, Learn, and ExpandAI adoption doesn't have to begin with a company-wide transformation.For small medical device businesses, a useful first step is to identify one process that consumes time, creates repetitive work, or could benefit from better information management.Then explore whether an AI assistant can help.Start with a clear problem. Build a focused solution. Test the results. Keep people involved where necessary. Measure the value.Once the first project demonstrates its usefulness, the company can consider what comes next.In this episode of Medical Device Made Easy, Helder Conceicao helps make the first steps toward AI adoption more understandable and practical for small businesses.What is one business task you would like AI to help you improve?Who is Helder Conceição?Helder Conceição is the founder of heconexus®, helping small businesses in Portugal adopt AI in their everyday work. He brings more than 25 years of experience at Johnson & Johnson across local, European and global roles, spanning service engineering, business processes and digital initiatives. His approach focuses on practical processes, measurable value, human oversight and helping teams become confident and autonomous in their use of AI.LinksLinkedIn: https://www.linkedin.com/in/helderconceicao/ AI in SMEs: where to start improving everyday workhttps://www.linkedin.com/pulse/ia-nas-pmes-por-onde-começar-para-melhorar-o-trabalho-conceição-bptae/ choosing a useful first process, testing with the team and measuring value.Which AI is best for your company?https://www.linkedin.com/feed/update/urn:li:activity:7514233631742164992/ choosing a platform around a real business task and the company’s needs.One successful AI example: is that enough for the team to start using it?https://www.linkedin.com/feed/update/urn:li:activity:7510972255170994176/testing varied cases, checking sources and defining human review.Social Media to followMonir El Azzouzi Linkedin: https://linkedin.com/in/melazzouziTwitter: https://twitter.com/elazzouzimPinterest: https://www.pinterest.com/easymedicaldeviceInstagram: https://www.instagram.com/easymedicaldeviceThis podcast is hosted by Podcastics, the easiest platform to create and publish your podcast.

October brings another important round of regulatory developments for the medical device and IVD industry. From updated IVD classification guidance in Europe and potential changes to the UK medical device licensing framework, to new FDA expectations for robotically assisted surgical devices, radiology AI, PMA submissions, and international regulatory reliance, manufacturers have several developments worth following closely.Here is our Medical Device Regulatory Update for October 2026, supported by regulatory intelligence from MedBoard.🇪🇺 European Union – Revised IVD Classification GuidanceThe European Commission has published MDCG 2020-16 Rev.5, updating the guidance on classification rules for in vitro diagnostic medical devices under the IVDR.For IVD manufacturers, classification is a fundamental regulatory decision that can affect the conformity assessment route and regulatory strategy.👉 MDCG 2020-16 Rev.5 – Guidance on Classification Rules for IVDs🇬🇧 UK – The Door Opens to Direct MHRA LicensingProposed amendments to the UK Government's Health Bill could create powers supporting the future development of a medical device licensing regime.The amendments also address information-sharing powers for medicines and medical devices and measures intended to make medicines and medical-device legislation easier to update.This is an important development to watch for manufacturers planning access to the UK market.👉 MHRA Regulatory Reform Amendments – Health Bill🇬🇧 MHRA Warning – Incompatible Components Continue to Cause Serious IncidentsThe MHRA has highlighted ongoing safety concerns involving patient hoists and incompatible components.The warning is an important reminder that medical-device safety does not stop with individual component compliance. Compatibility between components, accessories and systems can directly affect patient safety.Manufacturers and healthcare organizations should pay close attention to compatibility information, instructions for use and the way devices are combined in real-world environments.👉 MHRA – Steps to Prevent Avoidable Harm from Patient Hoists🇨🇭 swissdamed – Importer Linking Is Now OperationalAnother important development comes from Switzerland.Swiss importers can now link their CHRN to imported devices in swissdamed.This adds another operational consideration for manufacturers and importers working in the Swiss medical-device market, particularly as swissdamed becomes increasingly important within the country's regulatory infrastructure.👉 Swissmedic – Information for Importers in swissdamed🌍 Rest of the World🇺🇸 FDA – Robotically Assisted Surgical DevicesThe FDA has issued draft guidance addressing robotically assisted surgical devices.The guidance covers areas including non-clinical testing, clinical evidence and labeling for teleoperated surgical systems.For manufacturers developing robotic surgical technologies, understanding these expectations early can help inform development, testing and premarket strategy.👉 FDA – Robotically Assisted Surgical Devices: Premarket Submissions🤖 FDA Rejects Proposed 510(k) Exemption for Radiology AI DevicesAI remains firmly on the regulatory agenda.The FDA has rejected a proposed exemption from premarket notification for certain radiology computer-aided detection, diagnosis and triage devices.The practical message for manufacturers is clear: these products must continue to obtain the applicable FDA clearance before being marketed.👉 FDA – Radiology Computer-Aided Detection, Diagnosis and Triage Devices🇺🇸 FDA Moves PMA Applications Toward Structured Electronic SubmissionsThe FDA is also moving toward a more structured approach to electronic Premarket Approval (PMA) applications.Draft guidance introduces electronic resources and templates intended to improve submission consistency and review efficiency.Manufacturers working on PMA submissions should follow this development as electronic submission structures continue to evolve.👉 FDA – Electronic Submission Template for PMA Applications🌐 FDA Creates a Regulatory Reliance Resource CentreInternational regulatory reliance continues to gain attention.The FDA has created a dedicated CDRH Regulatory Reliance Portal explaining how other regulatory authorities can leverage FDA regulatory work and decisions while retaining their own national sovereignty and decision-making responsibilities.For an increasingly global medical-device industry, regulatory reliance could play an important role in reducing unnecessary duplication and supporting more efficient regulatory processes.👉 FDA CDRH Regulatory Reliance Portal🛠️ What's New at Easy Medical Device?Alongside this month's regulatory developments, Easy Medical Device continues to expand the resources and services available to medical-device companies.EasyIFUEasyIFU supports medical-device manufacturers working with electronic Instructions for Use.👉 Discover EasyIFUNew Partner ServicesNew partner services are also available in areas including:Software Development & CybersecurityCompany CreationThese services expand the support available to medical-device companies across different stages of their development and market-access journey.🎙️ Latest Easy Medical Device Podcast EpisodesOctober is also a good opportunity to catch up on the latest Medical Device Made Easy episodes.Episode 406 – Your Technical Documentation Has All the Documents… So Why Isn't It Ready?Having every document does not necessarily mean your Technical Documentation is assessment-ready. This episode explores adequacy, consistency, evidence and traceability across the dossier.👉 Listen to Episode 406Episode 407 – Why Management Doesn't Listen to Quality and How to Change ThatWhy do Quality and Regulatory teams sometimes become isolated from the rest of the organization? This episode explores the shift from being the “Quality Police” to becoming a Quality Influencer.👉 Listen to Episode 407Episode 408 – Vertical Slicing for Complex SaMD DevelopmentComplex SaMD development can become fragmented when teams focus on individual components. This conversation explores vertical slicing as a way to look at functionality and clinical workflows end-to-end.👉 Listen to Episode 408Episode 409 – AI Is Already Inside Your QMS – But Is It Under Control?AI may already be used by Quality, Regulatory, Engineering and PMS teams—even without a formal company-wide AI initiative.This episode discusses Shadow AI, risk-based AI control, verification, human accountability and how Quality teams can approach AI without simply banning it.👉 Listen to Episode 409This podcast is hosted by Podcastics, the easiest platform to create and publish your podcast.

Artificial Intelligence may already be part of your Quality Management System, even if your organization has never formally implemented an AI tool.Regulatory Affairs professionals may use ChatGPT to research requirements. Quality teams may use AI to help draft procedures or summarize meetings. Engineers may ask AI to brainstorm potential failure modes. Post-Market Surveillance teams may experiment with AI to analyze complaints.This creates an important challenge:AI may already be inside your QMS—even though your QMS doesn't know it. Markdown colléThe answer isn't necessarily to ban AI.The answer is to understand where it is being used and introduce controls proportionate to the risk.The Shadow AI ProblemEmployees don't always wait for management to formally implement AI.When a tool can turn a three-hour activity into a thirty-minute task, people naturally become interested.The Quality challenge isn't simply that AI is being used. The problem is that the organization may not know:what activities AI supports, what information employees provide to it, how outputs are verified, and how heavily people rely on those outputs.This is what the episode describes as Shadow AI. Markdown colléNot Every AI Use Has the Same RiskAsking AI to improve the wording of an email isn't equivalent to asking it to determine whether complaint data indicates a safety signal.The key question is:What happens if the AI is wrong?An error in a rewritten email may have limited consequences. An incorrect conclusion about complaint reportability or patient safety could have significantly different consequences.AI governance should therefore be based on intended use and risk, rather than treating every AI application identically. Markdown colléGreen, Amber, Red: A Practical AI FrameworkThe episode introduces a simple traffic-light approach.🟢 Green — AssistAI improves productivity without materially driving a regulated decision.Examples include improving English, formatting documents, brainstorming, summarizing meeting notes or helping structure a presentation.Normal human review, together with appropriate confidentiality and information-security controls, may be sufficient for these lower-risk applications.🟠 Amber — VerifyAI begins influencing regulated work.Examples include helping draft an SOP, suggesting potential FMEA failure modes, summarizing complaints, researching regulatory requirements or suggesting possible CAPA root causes.The principle here is simple:AI can propose. A qualified person must verify.AI can help locate information, but it shouldn't automatically become the regulatory evidence supporting a decision.🔴 Red — Assess Before DeploymentHere, AI makes or materially drives a critical decision.Examples could include automatically determining complaint reportability, accepting suppliers, closing CAPAs, deciding risk acceptability or generating clinical conclusions without independent qualified evaluation.These uses call for formal assessment before the organization relies on the system. Markdown colléHuman Review Is Not Automatically Verification“We have a human reviewing everything” sounds reassuring.But what does review actually mean?Generative AI can produce incorrect information that looks professional and convincing. Reading an AI-generated regulatory assessment and thinking “looks good” isn't necessarily meaningful verification.The episode proposes another important principle:Trust the source, not the sentence.Regulatory requirements should be checked against the regulation. Complaint-analysis results should be checked against the underlying data and methodology. Technical suggestions should be evaluated by qualified personnel. Markdown colléFive Steps for Bringing AI Under ControlRather than immediately writing an AI SOP, the episode recommends starting with discovery.First, inventory where AI is already being used.Then classify each use according to what could happen if the output is wrong.Next, control the input, particularly where patient information, complaints, confidential drawings, clinical data, intellectual property or supplier information may be involved.After that, define how the output will be verified.Finally, maintain human accountability.As the episode puts it:“AI can perform work. It cannot inherit your regulatory accountability.” Markdown colléWhat About AI Validation?Instead of starting with:“Do we need to validate ChatGPT?”Start by asking:What exactly are we using it for?Then:What happens if it gives us the wrong answer?And finally:What level of assurance do we need for that intended use?The framework presented in the episode is:Intended Use → Risk → Control → Evidence. Markdown colléAI Literacy Matters TooAI governance isn't only about procedures and technical controls.People need to understand what AI does well, where it can fail, how errors and hallucinations can occur, how information should be verified, what data they are allowed to enter, and when AI should not be relied upon.That's a much more practical form of AI literacy than simply asking employees to click through another annual training presentation. Markdown colléAI Isn't the Enemy of QualityThe message of the episode isn't to avoid AI.Quite the opposite.AI could create significant opportunities for Quality and Regulatory teams—from supporting complaint analysis and regulatory intelligence to identifying recurring CAPA themes, simplifying procedures, creating training exercises, checking Technical Documentation for inconsistencies, and brainstorming potential hazards for qualified professionals to assess. Markdown colléThe role of Quality shouldn't be to stand in front of innovation and say:“No, because compliance.”It should be to enable innovation with appropriate controls.Final TakeawayInstead of asking your team:“Are you using ChatGPT?”Ask:“Show me where AI is helping you do your job today.”Then build the inventory and ask what happens if the AI gets each task wrong.Green: Assist.Amber: Verify.Red: Assess before deployment.Control the inputs. Verify the outputs. Keep humans accountable.Because banning AI may not stop its use, while ignoring it means losing visibility.A better approach is:Understand it. Control it. Use it. Markdown colléSocial Media to followMonir El Azzouzi Linkedin: https://linkedin.com/in/melazzouziTwitter: https://twitter.com/elazzouzimPinterest: https://www.pinterest.com/easymedicaldeviceInstagram: https://www.instagram.com/easymedicaldeviceThis podcast is hosted by Podcastics, the easiest platform to create and publish your podcast.