This thesis investigates the barriers hindering the further implementation of robotic-assisted surgery (RAS) in healthcare institutions, focusing on benefits and challenges. Analysing this topic is important because it provides critical information on how technological innovations can improve healthcare industry, ultimately leading to improved patient outcomes and effective operations. The Gioia methodology, which provides a systematic and reliable approach to understanding the complex dynamics involved in adopting RAS, has been used for rigorous data analysis. Several key findings were derived through 16 in-depth, qualitative interviews with healthcare professionals. This study provides novel contributions by highlighting significant barriers related to staff training and education in implementing robotic-assisted surgery (RAS). These bottlenecks lead to inefficiencies within surgical teams and hospital operations, influencing the perception of RAS as complex and difficult to use without adequate training. Additionally, the study identifies financial constraints, logistical challenges, and the need for tailored operating environments as major obstacles. Despite the initial high costs, the long-term economic benefits of RAS can be significant, yet these are often underutilized due to inadequate staff training and resource allocation. Furthermore, the study confirms previous research on the benefits of RAS, such as improved patient outcomes, surgical precision, and operational efficiency. In summary, the future of robotic surgery depends on addressing training and educational gaps, continuously evolving skills, and effectively integrating new technologies into medical practices. Institutions that are ready to adapt and evolve will likely harness the full potential of RAS, improving patient care and operational efficiency.
- Robotic-assisted surgery
- Healthcare
- Digital transformation
- Training
- Implementation barriers
- Operational efficiency
- Mestrado em Gestão e Administração de Empresas
Robotic-assisted surgery in healthcare institutions: assessing benefits, obstacles, and implementation success factors
Andriollo, G. (Student). 28 Jun 2024
Student thesis: Master's Thesis