Evana Kamarudin University Technology MARA (UiTM)
Understanding the Rhesus blood group system remains challenging for medical laboratory technology students due to its complex antigen combinations, multiple nomenclature systems, and close relationship with serological interpretation. RhDecode was developed as an interactive digital learning platform to strengthen students’ understanding of Rhesus blood grouping and connect theoretical knowledge with laboratory practice.
The platform integrates the Fisher-Race, Wiener, Rosenfield, and Tippett nomenclature systems within one guided interface. It includes interactive learning modules, simulated laboratory activities, agglutination pattern references, automated result interpretation, and immediate visual feedback. RhDecode supports classroom teaching, self-directed learning, and virtual laboratory instruction.
Students complete structured activities involving blood grouping, antigen profile identification, nomenclature conversion, and interpretation of serological results. Preliminary classroom use showed improved understanding of Rh antigen relationships, greater confidence in serological interpretation, and stronger engagement during blood group learning activities. The guided format also reduced errors associated with manual conversion between Rh nomenclature systems.
The innovation combines major Rh naming systems within a single digital platform. It provides step-by-step practice, supports repeated learning without the use of laboratory reagents, and promotes active participation. Its modular structure also supports future integration with learning management systems and institutional licensing.
RhDecode provides a practical digital approach for teaching a complex area of transfusion science. It strengthens the connection between classroom learning and laboratory practice, improves students’ readiness for clinical training, and supports the development of accurate blood group interpretation skills.
Keywords: Rhesus blood group, transfusion science, digital learning, virtual laboratory, serological interpretation