A Conceptual Decision-Support Framework for Digitalization in Orthotic and Prosthetic Business Processes

Abstract

Digitalization holds significant potential for transforming business processes, yet organizations frequently face challenges in identifying optimal areas for technological implementation. This study responds to this critical need by developing and validating a structured decision-support framework designed to systematically evaluate and prioritize digitalization opportunities, with specific application to the orthotic and prosthetic (O&P) industry. Grounded in Business Process Reengineering (BPR) principles, the proposed framework comprises three integrated components: (1) Diagnostic Assessment of current operations, (2) Multi-Criteria Evaluation Matrix for scoring digital intervention opportunities, and (3) Strategic Decision Pathway that recommends manual, hybrid, or full digital adoption strategies.
The framework incorporates a comprehensive evaluation system examining three critical dimensions: (1) quality outcomes, (2) time efficiency, and (3) cost-effectiveness, enabling organizations to assess their digital readiness and prioritize workflow transformations. A distinctive feature of this approach is its practical decision tree model and weighted scoring system, which facilitate customized strategy development ranging from manual process optimization to full digital workflow adoption.
Through a rigorous mixed-methods methodology incorporating literature synthesis, expert consultations, and case study validation in Malaysian O&P clinics, this research makes significant contributions to both theory and practice. The study delivers an evidence-based decision-making tool that effectively bridges the gap between theoretical digitalization models and real-world healthcare manufacturing implementation. By aligning technology adoption with organizational capabilities and strategic objectives, this framework empowers small and medium enterprises to make informed investment decisions, effectively manage transition risks, and optimize the impact of their digitalization initiatives.