Translating motion tracking data into resident feedback: An opportunity for streamlined video coaching

Perrone, Kenneth H.; Yang, Su; Mohamadipanah, Hossein; Wise, Brett; Witt, Anna; Goll, Cassidi; Pugh, Carla M.

doi:10.1016/j.amjsurg.2020.01.032

Cited by 8 publications

(7 citation statements)

References 14 publications

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“…By analyzing this data, trainers can identify areas where trainees require improvement and provide personalized coaching, leading to enhanced surgical performance (38,39). Surgical residents wore motion tracking sensors to stratify top and lower tier performers and streamline video review while performing a simulated LVH surgery (14). This wearable technology provides real-time visual feedback to trainees, facilitating better understanding and improved skill acquisition.…”

Section: Discussionmentioning

confidence: 99%

“…In one study, surgical residents wore motion tracking sensors during a simulated laparoscopic ventral hernia surgery, allowing for the strati cation of performers and streamlined video review. The motion data collected during the procedure were linked with the corresponding phases of the surgery, enabling the identi cation of learning gaps and facilitating targeted coaching through quick video review (14). Another study employed wearable inertial sensors to assess the performance of orthopaedic residents during diagnostic knee arthroscopy.…”

Section: Iot In Medical Education Areasmentioning

confidence: 99%

See 1 more Smart Citation

Internet of Things in Medical Education: A Systematic Mapping Review

Behmanesh,

Davarzani,

Shams

et al. 2023

Preprint

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Context The Internet of Things (IoT) has emerged as a promising technology with the potential to transform medical professional training and education. IoT refers to a network of physical items that are embedded with sensors, software, and connections that exchange data via the Internet. IoT provides the possibility of merging electronic health records, medical devices, and wearable technologies to create an interactive learning environment in medical education. Objectives The current study's goal was to identify and map current IoT advancements in medicine by conducting a systematic mapping review of the existing research on IoT in medical education. It intends to provide answers to major research question, such as trends and activities in IoT development in medical education. Methods Following PRISMA-ScR guidelines, a systematic mapping review was conducted in major online scientific databases such as Web of Science, Scopus, PubMed, and IEEE Xplore up to end of 2022 to identify empirical studies related to IoT and medical education. A total of 199 papers were found, from which 24 were ultimately selected based on particular inclusion/exclusion criteria. Results While the majority of medical IoT research are conducted across a network of twelve different countries, the United States has emerged as the leader in developing IoT systems for medical education. The dynamic potential of IoT devices and sensors in medical education included areas such as activity monitoring, physiological monitoring, data collecting, and simulation. In medical education, IoT applications include surgical training, non-surgical teaching, and resident monitoring. Conclusions The study findings highlight the importance of further research efforts aimed at addressing challenges and unlocking the full array of benefits IoT has to offer in medical education. It is expected that these discoveries will catalyze interest among medical education leaders and policymakers, encouraging them to explore the promising horizons of wearable technology and IoT applications in medical education, ultimately leading to enhanced educational outcomes and practices.

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Section: Discussionmentioning

confidence: 99%

Section: Iot In Medical Education Areasmentioning

confidence: 99%

Internet of Things in Medical Education: A Systematic Mapping Review

Behmanesh,

Davarzani,

Shams

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…27,28 Differences in operative performance and strategy can be readily identified and linked to specific video segments. 29 In the urologic surgery literature, Hung et al have demonstrated proof of concept that automated measures such as kinematic data from robotic systems can correlate with outcomes and can differentiate even expert from "super-expert" surgeons performing robotic prostatectomy. 30e32 Standards for the combined use of human-driven and technology supported video editing can be developed and represent the future of video editing.…”

Section: The Processmentioning

confidence: 99%

The what? How? And Who? Of video based assessment

Pugh

Hashimoto

Korndorffer

2021

The American Journal of Surgery

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Background: Currently, there is significant variability in the development, implementation and overarching goals of video review for assessment of surgical performance. Methods: This paper evaluates the current methods in which video review is used for evaluation of surgical performance and identifies which processes are critical for successful, widespread implementation of video-based assessment. Results: Despite the advances in video capture technology and growing interest in video-based assessment, there is a notable gap in the implementation and longitudinal use of formative and summative assessment using video. Conclusion: Validity, scalability and discoverability are current but removable barriers to video-based assessment.

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“…Illustrates hand motion in 3D for top and lower‐tier performers. The red circle indicates the motion pattern generated when the lower tier performer committed an error during the LVH repair 33 . [Color figure can be viewed at wileyonlinelibrary.com]…”

Section: Vision‐based (Human or Machine)mentioning

confidence: 99%

Performance assessment using sensor technology

Mohamadipanah

Wise

Witt

et al. 2021

Journal of Surgical Oncology

Self Cite

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Over the past 30 years, there have been numerous, noteworthy successes in the development, validation, and implementation of clinical skills assessments. Despite this progress, the medical profession has barely scratched the surface towards developing assessments that capture the true complexity of hands‐on skills in procedural medicine. This paper highlights the development implementation and new discoveries in performance metrics when using sensor technology to assess cognitive and technical aspects of hands‐on skills.

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Translating motion tracking data into resident feedback: An opportunity for streamlined video coaching

Cited by 8 publications

References 14 publications

Internet of Things in Medical Education: A Systematic Mapping Review

Internet of Things in Medical Education: A Systematic Mapping Review

The what? How? And Who? Of video based assessment

Performance assessment using sensor technology

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