Additive manufacturing (AM), also known as 3D printing, has arisen as a revolutionary technology with the potential to revolutionize numerous industries, including the medical industry. It is a layer-by-layer manufacturing process used to create intricate structures. Numerous industries are planning to implement it on a large scale in order to meet the bespoke market demands as a result of its ability to produce individualized components. This study investigates the determinants influencing the adoption of AM in-house versus reliance on external suppliers for applications involving additive manufacturing. The study acknowledges the significant impact that AM has had on the evolution of the medical field, allowing for customized medical devices, patient-specific implants, and sophisticated surgical instruments. The purpose of this study is to determine the factors influencing the adoption of AM in-house versus reliance on external suppliers for applications involving additive manufacturing. This study utilized a quantitative approach with a survey-based methodology. The sample population consisted of university hospital surgeons from various origins. This research aims to gain insight into their preferences, motivations, and concerns when it comes to implementing AM by analysing their perspectives. The study employs the Consolidated Framework for Implementation Research (CFIR) framework to analyse the findings. This theoretical framework offers a comprehensive lens through which to analyse the factors that influence the adoption of AM in the medical setting. Utilizing the CFIR framework, this study investigates the numerous factors that influence the perceptions and decision-making processes of surgeons. In conclusion, this research examines the determinants influencing the adoption of AM in-house versus reliance on external suppliers for applications involving additive manufacturing. The quantitative approach, coupled with the application of the CFIR framework, enables a thorough examination of the factors that influence the decision-making processes of surgeons. This study's findings have implications for the future implementation and utilization of AM in the medical field, thereby contributing to the advancement of patient care and surgical procedures.