Innovations in Procedural Education: Motion Tracking, Virtual Reality, and Proficiency Metrics

Flora Liu, MD

Mastery of procedures requires deliberate practice integrating cognitive understanding, manual dexterity, and procedural flow guided by target feedback. “Innovative Approaches to Technical Skills Teaching and Learning” was held on May 2, 2026 at the 2026 Annual Meeting, and moderated by John Mitchell, MD, vice chair for academic affairs in the Department of Anesthesiology, Pain Management, and Perioperative Medicine at Henry Ford Health in Detroit, Michigan and professor and vice chair of anesthesiology at Michigan State University CHM. This session explored innovative educational approaches to developing procedural competence, including hand and eye motion tracking, virtual reality (VR) simulation, and proficiency-based assessment models.

Santiago Uribe-Marquez, MD, an anesthesiologist in the Department of Anesthesiology, Pain Management, and Perioperative Medicine at Henry Ford Health presented, “Innovations in Hand and Eye Motion Tracking in POCUS Training.” Dr. Uribe-Marquez described how motion analysis technologies can quantify procedural skill acquisition and improve efficiency in deliberate practice. Motion tracking in ultrasound hand movement captures metrics such as path length, rotational movement, acceleration, and time, transforming complex motor behaviors into measurable data. Motion Augmented eXperience (MAX) feedback is used directly for trainees to refine technique and reduce unnecessary motion. With improvement of immediate feedback from four hours to 20 seconds, learners had faster skill acquisition compared with traditional expert feedback.

Eye‑tracking technology offers additional insights into procedural cognition. Experts tend to demonstrate longer, stable fixations on relevant anatomy or imaging targets, whereas novices exhibit more saccade eye movements. Using non-invasive video‑oculography systems, such as wearable eye‑tracking glasses, educators can generate heat maps showing areas of visual focus during procedures uncovering previously hidden aspects of cognitive processing. While limitations include cost, calibration challenges, and sensitivity to lighting conditions, Dr. Uribe-Marquez highlighted future applications in crisis management training, airway procedures, POCUS, and augmented or virtual reality environments.

The session then shifted to immersive learning with “Teaching Neuraxial Blocks Using Virtual Reality,” presented by and Shiri Savir, MD, director of pain management and attending anesthesiologist from Soroka University Medical Center. The traditional two‑dimensional lectures are poorly suited to teaching complex three‑dimensional anatomic relationships, particularly for modern learners accustomed to interactive, high‑fidelity digital environments. VR‑based neuraxial simulation allows trainees to learn the 3D anatomy and practice procedures in a safe, repeatable, and scalable manner without logistical constraints of simulation centers or patient risk. Current VR platforms incorporate variable patient anatomy, body habitus, and positioning, and developments are underway to integrate robotic haptics that simulate loss‑of‑resistance. Immersive VR has not only demonstrated statistically significant knowledge gain and is highly accepted by learners, it is solving the learning challenges of neuraxial as clinical exposure becomes more constrained.

Finally, Robina Matyal, MD, professor of anaesthesia at Harvard Medical School, vice chair of education, and director of vascular asnesthesia at Beth Israel Deaconess Medical Center, presented “Proficiency Indexes for Evaluation of Procedural Competence,” addressing the persistent challenge of how best to define and assess competency in anesthesiology training. Modern medical education faces competing demands: less training time, fewer procedural opportunities, and higher expectations for safety and efficiency. While traditional metrics, such as case numbers, time to completion, and global faculty observation, often fail to capture true procedural proficiency.

Dr. Matyal described efforts to improve perioperative ultrasound education through a multimodal training program designed to objectively quantify resident readiness for specific ultrasound applications. Drawing inspiration from aviation training models, she developed a preclinical proficiency index (PI) encompassing four domains: workflow, knowledge, clinical skills, and crisis management. The PI has demonstrated content validity, inter‑rater reliability, and the ability to discriminate between residents at different levels of training. Most importantly, the PI reframes assessment away from exposure volume and toward demonstrated competency. Simulation does not replace clinical experience. The most effective model is a hybrid one: VR for acquisition and rehearsal, mannequin simulation for tactile transfer, and the OR for supervised real-world application. A comprehensive model would require a VR benchmark before the first live high-risk procedure or before a rotation with expected procedural autonomy. VR is valuable because it offers repeated, standardized, and objective performance data that are difficult in clinical workflows, allowing educators to measure progression with greater precision and to shorten the preclinical learning phase so that each patient encounter becomes maximally educational.

Together, the session highlighted a paradigm shift in anesthesiology education: from time‑based exposure towards data-driven mastery. By integrating motion tracking, VR, and proficiency metrics, programs can make procedural learning more efficient, scalable, and transparent, ultimately improving both learner development and patient safety.