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Augmented Reality-aided Rescue Ultrasound Curriculum for Perioperative Crisis Management.

作者信息

Gbagornah Peva F, Tran Chau, Hannan Jacqueline, Saeed Shirin, Levy Nadav, Kim Christopher, Winterton Dario, Sharkey Aidan, Neves Sara, Mitchell John, Hussain Huma S, Mahmood Feroze U, Matyal Robina, Jackson Cullen D, Bose Ruma

机构信息

Department of Anesthesia, Critical Care & Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.

Department of Anesthesiology, Pain Management, and Perioperative Medicine, Henry Ford Health System, Detroit, MI.

出版信息

J Cardiothorac Vasc Anesth. 2025 Nov;39(11):3020-3029. doi: 10.1053/j.jvca.2025.06.027. Epub 2025 Jun 25.

Abstract

OBJECTIVE

To develop anesthesiology residents' proficiency in ultrasound for managing hemodynamically unstable patients using an augmented reality-aided multimodal competency-based curriculum (rescue ultrasound [RUS] curriculum).

DESIGN

This prospective study used a quasi-experimental design, involving a nonrandomized, pre-post intervention assessment of the novel competency-based RUS curriculum.

SETTING

This study was conducted at a university hospital.

PARTICIPANTS

This single-center prospective study involved 10 attending anesthesiologists for baseline ultrasound data, 8 residents completing traditional training, and 15 residents completing the novel RUS curriculum.

INTERVENTIONS

This study enrolled third-year categorical anesthesia (CA-3) residents to evaluate the impact of a novel RUS curriculum. Competency benchmarks were defined using objective performance metrics derived from motion metrics data, with expert results as a reference. The study utilized task trainers and augmented reality (HoloLens) to teach RUS skills, and clinical transferability of the curriculum's impact was evaluated through a standardized scenario with a simulated hemodynamically unstable patient. The time taken to request ultrasound was compared between the RUS-trained residents and the non-RUS-trained residents using the Mann-Whitney U test.

MEASUREMENT AND RESULTS

Curriculum-trained residents averaged 72.3 seconds (standard deviation = 23.2) for ultrasound calls, compared with 294.9 seconds (standard deviation = 110.6) for nontrained residents. The motion metrics-derived data (path length, acceleration, and time) of curriculum-trained residents were comparable with those of experts.

CONCLUSION

An augmented reality-aided multimodal RUS curriculum was developed as a training modality. After completion of training, residents integrated ultrasound into clinical practice at an earlier stage of hemodynamic instability and developed RUS skills that were comparable with experts' performance.

摘要

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