Robotics in Healthcare: Revolutionizing Patient Care with Assistive Technologies

Abstract

This comprehensive study delves into the performance assessment of robotics in healthcare, focusing on three pivotal technologies: Robotic Surgery, IBM's Watson, and Microsoft's technologies, including Google DeepMind Health. The research methodology combines subjective and objective metrics to offer a nuanced understanding of these technologies' impact on patient care. Subjective metrics, including implementation scores, patient satisfaction, and cost-effectiveness, were evaluated through a survey methodology involving healthcare professionals and end-users. For technical performance assessment, objective metrics such as precision, recall, and execution time were defined. The results indicate that Robotic Surgery scored the highest in implementation, patient satisfaction, and cost-effectiveness, aligning with previous studies highlighting its transformative impact. IBM's Watson demonstrated commendable scores, while Microsoft showcased notable cost-effectiveness. Google DeepMind Health, leveraging artificial intelligence, presented competitive scores across various metrics. The study's findings shed light on the nuanced nature of adopting robotics in healthcare, emphasizing the importance of user experience, technical accuracy, and economic viability. This research contributes to the ongoing discourse on healthcare technologies, providing valuable insights for practitioners, administrators, and technology developers seeking to optimize the implementation of these technologies for enhanced patient care.