Dynamic QR Codes and Data Analytics: Novel Methods for Evaluating Just-in-Time Nursing Education
Anthony Scott, Charlie Dharmasukrit, Michelle Macal, Ashley Brand, Maria Yefimova · The Journal of Continuing Education in Nursing · 2025
Background: The introduction of low-frequency-use clinical devices presents challenges to nursing education, particularly regarding knowledge retention and increased risk of skill decay. Method: This quality improvement project aimed to evaluate access and use of just-in-time (JIT) multimodal educational resources retrievable via dynamic quick response (QR) codes following the introduction of a new but infrequently managed hemostatic compression device for inpatient nurses within an academic health system. Results: Data analytics from a 12-month period demonstrated engagement with the JIT resources, yielding a total of 122 written procedure views, 56 video views, and 66 QR code scans. Notably, 64.3% of video views coincided with QR code scans, indicating that QR codes effectively facilitated resource retrieval. Conclusion: Easily accessible JIT multimodal educational resources support competent patient care in infrequent clinical scenarios. Data analytics provide a novel method for evaluating and enhancing nursing education practices through data-driven approaches. [ J Contin Educ Nurs . 2025;56(5):183–189.]