The study aims to provide strategic foresight into the future of retail healthcare technologies by developing a patent-driven roadmap. It identifies how emerging innovations align with healthcare retail needs across short-, mid-, and long-term horizons. Patents were extracted for two time periods to analyze evolving technological trajectories. A total of 4384 patents were retrieved from 2008 to 2020 (Time-period I) and 5009 patents from 2021–January 2025 (Time-period II). The study employs structural topic modeling (STM), semantic network analysis, and patent data analysis across two time periods to identify the topics. For the time period I, seven topics were identified. For time period II, six topics were identified, namely: wireless communication for retail healthcare (Topic 1), advanced beamforming and antenna technologies (Topic 2), edge intelligence and secure IoT integration (Topic 3), scalable technology solutions (Topic 4), service continuity and real-time analytics (Topic 5), and uplink transmission and secure data handling (Topic 6). Further, a technology roadmap for the short-, mid-, and long-term was prepared. This study contributes to retail healthcare and technology roadmapping literature by using patent-driven topic modeling to map emerging technologies aligned with evolving consumer and operational needs across time horizons.