This workshop introduces Digital Storytelling (DST) as an arts-based qualitative methodology that supports meaningful Patient and Public Involvement (PPI) in health research. DST involves the creation of short, multimedia first-person narratives that integrate voice, image, and sound to convey lived experiences in a nuanced and impactful way. It has been increasingly applied across the research lifecycle, including data collection, analysis, knowledge translation and reflective learning. The session will begin with an overview of the 7-step DST methodology, followed by examples of digital stories created by individuals with lived experiences in health and healthcare. These examples will illustrate how DST can communicate emotions, insights, and context in ways that compliment and enrich traditional research methods. Participants will engage in structured small-group discussion to reflect on the stories and explore how DST can inform person-centred care. A hands-on activity will guide attendees in developing a research design using DST, focusing on the research goal, intended audience, and rationale for selecting this methodology. Emphasis will be placed on ethical considerations when using digital storytelling in health research, including issues of story ownership, authorship, and the practice of living consent- an ongoing, relational approach to consent that acknowledges the evolving nature of participants’ comfort and agency. The workshop will also highlight the importance of co-creation when working with Patient Partners, ensuring that their contributions are not only acknowledged but actively shape the research process. This includes involving Patient Partners in the design, production, and interpretation of digital stories, as well as in the development of knowledge translation outputs. The workshop will conclude with a group discussion on potential applications of DST, including its use in co-developing knowledge translation outputs and fostering equitable research partnerships. Participants will leave with a foundational understanding of DST and resources to support its integration into their own research.