Whitepaper: Navigating ICH Q3E: Implications for Extractables and Leachables (E&L) Evaluation
Published Jan 07, 2026
Published 25th November 2025
The way we communicate and consume information about medicines is on the brink of a significant evolution. The traditional paper leaflet is being reimagined as Electronic Product Information (ePI), a digital-native format for the officially approved documents that accompany a medicine, i.e. the Summary of Product Characteristics (SmPC), Patient Information Leaflet (PIL), and labelling. Created using the EU ePI Common Standard based on Fast Healthcare Interoperability Resources (FHIR), this innovation will enable up-to-date critical medicinal information to be disseminated seamlessly across websites, mobile applications, and integrated directly into electronic health systems.
Running parallel to this digital shift is the rise of AI Labelling, which refers to the use of artificial intelligence tools to generate or assist in creating PILs. While AI promises to automate and accelerate content creation, its application in this highly regulated space must be carefully managed to ensure accuracy, empathy, and unwavering compliance with regulatory standards. This article will explore the dual landscape of ePI and AI, examining the immense benefits they offer for enhancing patient safety and health literacy, while also navigating the complex challenges that lie ahead.
The ePI initiative was launched to support the digital transformation of healthcare across the European Union, reflecting a core commitment from the European Commission to prioritise innovation that empowers people and builds a healthier society. This aligns perfectly with the European Medicines Agency’s (EMA) ongoing digitalisation efforts, which aim to make the best use of available resources and prepare the healthcare ecosystem for future challenges. From its inception, ePI has been designed with patients and healthcare professionals in mind, and these end-users have been actively involved throughout its development.
Stakeholders have been invited to participate in workshops and consultations, and have been presented with the ePI prototype and the results of the pilot phase, ensuring the final system is both functional and user-centric.
As part of its broader action plan to improve product information, the EMA began an assessment of the quality review of documents (QRD) template in September 2023. In collaboration with patients, healthcare professionals, and industry specialists, this assessment seeks to enhance the readability of the PIL and improve the information patients receive.
With the framework for ePI solidifying, now is the time for pharmaceutical companies to strategise their approach to implementation as soon as the Product Lifecycle Management (PLM) portal goes live with ePI functionality.
Looking ahead, the ePI initiative is included in the current proposal for new EU pharmaceutical legislation. If adopted, this will establish a legal basis for its implementation across Europe, ensuring that the full public health benefits of ePI reach all patients and healthcare professionals. Globally, the picture is more varied. While the direction of travel is clearly towards digital, countries are at different stages of transition. Some are aiming to completely replace paper with electronic versions, while others view ePI as a complementary tool. This divergence requires companies to maintain a flexible and informed regulatory strategy.
The overall EU pharmaceutical legislation is not expected to be fully adopted before 2026. Industry associations have proposed that ePI will be fully operational within four years after the new legislation takes effect, where centrally authorised products will be required to submit their ePI first. Furthermore, the Product Lifecycle Management (PLM) system will apply exclusively to centrally authorised products, while national authorities will need to develop their own PLM solutions for nationally authorised products.
Companies with centrally authorised products will be able to create ePI directly using the editor in the PLM portal, import ePI FHIR files from their own systems, or partner with a specialised vendor. All necessary resources, including the ePI implementation and style guides, will be available on the PLM portal to ensure a compliant and effective transition.
The transition to ePI promises a wealth of benefits, but it is not without its challenges.
A successful transition to ePI must be inclusive. This requires actively addressing the digital divide for people with disabilities, low health literacy, or limited internet connectivity. Applying Universal Design principles such as ensuring screen reader compatibility and considering audio descriptions is crucial. Furthermore, co-creating ePI with patients improves relevance and builds trust, while local initiatives through libraries and pharmacies can support community-level access and training.
As digital transformation reshapes healthcare, Artificial Intelligence (AI) has emerged as a powerful tool for streamlining processes and generating content. One of its most promising applications is in creating PILs.
AI presents considerable opportunities for improving healthcare communication, particularly by streamlining the creation of PILs through rapid content generation and scalability. Using well-designed prompts, AI can deliver structured, fact-based drafts efficiently, making it an appealing solution for pharmaceutical companies and regulatory bodies aiming to enhance efficiency. However, these advantages are offset by notable challenges, such as limited understanding and potential compliance risks. AI-generated materials often lack empathy, cultural nuance, and may introduce bias or inaccuracies due to reliance on underlying data. Therefore, robust human oversight remains critical to guarantee accuracy and adherence to regulatory standards.
AI-driven tools can generate draft PILs rapidly, offering:
These advantages make AI an attractive solution for pharmaceutical companies and regulatory teams seeking operational efficiency. However, the benefits come with caveats that demand rigorous oversight.
Despite its capabilities, AI faces critical limitations when applied to patient-facing content:
To harness AI’s potential while mitigating its risks, a hybrid approach is essential. AI can be a powerful assistant, automating routine tasks and generating initial drafts. However, human experts must remain at the helm to ensure the final content is accurate, empathetic, culturally appropriate, and fully compliant with regulatory standards. This collaborative model ensures that PILs not only inform but also empower patients and build trust. Human validation is non-negotiable to ensure the accuracy and safety of all medical information.
The shift towards ePI and the integration of AI in labelling represent a fundamental change in how we approach medicinal communication. ePI is a transformative innovation that enhances patient safety, improves health literacy, and promotes environmental sustainability. Simultaneously, AI offers powerful tools to drive efficiency, but its role must be carefully managed. By combining AI-driven speed with human-centric judgment and empathy, we can create patient information that fosters trust and supports better health outcomes.
As regulatory bodies align to support these digital-first solutions, the onus is on pharmaceutical companies to prepare. Proactive engagement, investment in IT infrastructure, and a focus on patient co-creation will be key to a successful transition. The future of medicinal communication lies in an enhanced, integrated, and inclusive ePI, deeply embedded within the digital health ecosystem.
At DLRC, we are experts in navigating the evolving regulatory landscape. Our team can provide the strategic guidance and operational support needed to integrate ePI and AI into your PIL development processes effectively and compliantly. Whether you are developing your ePI submission strategy or seeking to leverage AI safely, we can help you stay ahead of the curve. Contact us today at hello@dlrcgroup.com to learn how we can support your transition to the future of digital health.
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