Framework for Adoption of Enabling Technologies for Improved Outcomes in Spine Surgery

Muthu, Sathish and Ramasubramanian, Swaminathan and Jeyaraman, Madhan and Hartl, Roger and Tavakoli, Javad and Cho, Samuel K and Scaramuzzo, Laura and Singh, Hardeep and Louie, Philip and Demetriades, Andreas K and Hsieh, Patrick C and Corluka, Stipe and Wu, Yabin and Chen, Xiaolong and Le, Hai V and Vadalà, Gianluca and Hamouda, Waeel Ossama and Buser, Zorica and Wang, Jeffrey C. and Meisel, Hans-Jorg and Yoon, Timothy S and Jain, Amit (2025) Framework for Adoption of Enabling Technologies for Improved Outcomes in Spine Surgery. Global Spine Journal. pp. 1-9. ISSN 2192-5682

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Abstract

Study Design Narrative Review. Objectives We aim to investigate the integration and impact of enabling technologies, such as augmented reality, virtual reality, mixed reality, navigation, robotics, and artificial intelligence within the domain of spinal surgery. Methods We made a literature review for articles that examined the progression of adoption from initial to subsequent adopters. We also analysed the key determinants that influence adopting these technologies into clinical settings. These include cost-effectiveness, ease of integration, patient acceptance, learning curves, and availability of training resources. Based on the available data a suggestion has been made on the adoption framework for clinical utility. Results These technological advancements have the potential to transform surgical practice, offering improved precision and efficiency. The journey toward widespread adoption presents challenges, which include the financial implications, the necessity for specialized training, and the complexities associated with integration. To navigate these hurdles, the study proposes recommendations aimed at improving cost efficiency, streamlining technology integration, investing in professional development, and nurturing a culture of innovation and research. Conclusions A framework has been established for the evaluation and integration of state-of-the-art technologies in spinal surgery, thereby maximizing their potential impact on surgical outcomes and patient welfare.

Item Type: Article
Subjects: Research Methods
Spine Surgery
Classification System
Divisions: Orthopaedic Surgery
Depositing User: Mr Repository Admin
Date Deposited: 03 Jan 2026 13:47
Last Modified: 03 Jan 2026 13:47
URI: https://ir.orthopaedicresearchgroup.com/id/eprint/402

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