Temporal dynamics of asynchronous digital learning among physicians: a real-world observational study

Abstract

Abstract Background The rapid evolution of oncology requires continuous updating of clinical knowledge. Digital educational formats such as podcasts have emerged as accessible tools asynchtonous learning, however, data describing the real-world uptake of oncology-focused podcasts, particularly those developed in local languages and independent of commercial sponsorship, remain limited. Methods This descriptive observational study evaluated a Hebrew-language gastrointestinal oncology podcast. Episodes (n = 53) published between April 15, 2025, and April 4, 2026 were analyzed using platform-based download analytics. Outcomes included total downloads, downloads per episode, temporal uptake (day 1, 7, 14, 30), and engagement metrics (T50, T80). Results A total of 1889 downloads were recorded. Mean downloads per episode were 35.6 (median 32, range 12–97). Overall, 67.9% of downloads occurred within 30 days, including 19.6% on day 1 and 49.4% within 7 days. Mean monthly downloads increased over time. Engagement persisted beyond 30 days for nearly all episodes. Conclusions This independent Hebrew-language oncology podcast demonstrated consistent real-world uptake, characterized by rapid early engagement and sustained long-term use, supporting its role as a flexible digital medical education tool.