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Introduction <p>Incorporating data-driven technologies in orthopaedic surgery transforms clinical outcomes and enhances surgical precision. These advancements include predictive modelling, machine learning, Internet of Things (IoT)-enabled devices, and data visualization tools. This review aims to examine the current state of data-driven methods in orthopaedic surgery, highlight their clinical impact, and address existing challenges and future directions. </p> Materials and Methods <p>A comprehensive literature search was conducted across databases such as PubMed, Scopus, and Web of Science to identify relevant studies exploring data-driven technologies' applications in orthopaedic settings. The analysis focused on preoperative planning, intraoperative guidance, and postoperative monitoring while considering ethical concerns and implementation challenges in low and middle-income countries.</p> Results <p>The findings indicate that 3D imaging and patient-specific surgical guides enhance preoperative planning, improving accuracy and reducing surgical errors. Robot-assisted systems provide real-time intraoperative support, leading to better precision and reduced recovery times. Postoperative monitoring through wearable devices enables continuous patient tracking, allowing for early detection of complications and improved patient engagement. However, challenges related to data privacy, interoperability, and ethical considerations persist, potentially hindering broader adoption.</p> Conclusions <p>Integrating data-driven technologies is promising for advancing orthopaedic surgery by improving patient outcomes and surgical success rates. Addressing the identified challenges through ongoing research and interdisciplinary collaboration is essential for facilitating the effective implementation of these innovations in clinical practice. Future studies should focus on using data-driven technologies and ethical guidelines to improve orthopaedic outcomes and overcome challenges, particularly in low- and middle-income countries.</p>

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Data-Driven Strategies in Orthopaedics: Optimizing Surgical Precision and Patient Outcomes

  • 期刊论文

  • 发表日期：

    2025年6月28日

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  • Janki Sharan Bhadani,
  • Raju Vaishya,
  • John Mukhopadhaya

摘要

Introduction

Incorporating data-driven technologies in orthopaedic surgery transforms clinical outcomes and enhances surgical precision. These advancements include predictive modelling, machine learning, Internet of Things (IoT)-enabled devices, and data visualization tools. This review aims to examine the current state of data-driven methods in orthopaedic surgery, highlight their clinical impact, and address existing challenges and future directions.

Materials and Methods

A comprehensive literature search was conducted across databases such as PubMed, Scopus, and Web of Science to identify relevant studies exploring data-driven technologies' applications in orthopaedic settings. The analysis focused on preoperative planning, intraoperative guidance, and postoperative monitoring while considering ethical concerns and implementation challenges in low and middle-income countries.

Results

The findings indicate that 3D imaging and patient-specific surgical guides enhance preoperative planning, improving accuracy and reducing surgical errors. Robot-assisted systems provide real-time intraoperative support, leading to better precision and reduced recovery times. Postoperative monitoring through wearable devices enables continuous patient tracking, allowing for early detection of complications and improved patient engagement. However, challenges related to data privacy, interoperability, and ethical considerations persist, potentially hindering broader adoption.

Conclusions

Integrating data-driven technologies is promising for advancing orthopaedic surgery by improving patient outcomes and surgical success rates. Addressing the identified challenges through ongoing research and interdisciplinary collaboration is essential for facilitating the effective implementation of these innovations in clinical practice. Future studies should focus on using data-driven technologies and ethical guidelines to improve orthopaedic outcomes and overcome challenges, particularly in low- and middle-income countries.