This paper presents the findings of a systematic literature review focused on digital transformation within biomedical supply chains (BMSCs). The review analyzed peer-reviewed articles published to identify digital enablers and barriers, classify applied technologies, and highlight trends across literature. Using a function-oriented framework based on the SCOR-DS model, the study categorizes blockchain, smart contracts, AI/ML, cloud computing, IoT, RFID, digital twin and additive manufacturing as digital technologies according to their contributions across planning, sourcing, manufacturing, delivery, and returns. The findings highlight that while significant attention has been given to technologies supporting traceability, real-time monitoring, and automation, limited studies explore the integration of underrepresented tools such as digital twins and 3D printing. The research identifies critical enablers such as enhanced visibility and process optimization and barriers including cybersecurity risks, high implementation costs, and interoperability issues. The review contributes a structured classification and graphical synthesis of digital technologies in BMSCs, filling a gap in current literature that often overlooks function-based integration. These findings establish a foundation for future research into interdependent digital factors influencing supply chain performance, offering practical insights to support the design of more efficient, resilient, and technology-driven biomedical supply chains.