# Ophthalmic Surgical Simulation and Competency Assessment

## Introduction

Ophthalmic surgery demands exceptionally fine motor skills performed under high magnification in a confined space, with little tolerance for error. Surgical simulation provides a safe, reproducible environment for trainees to develop and refine these skills before operating on patients. Competency assessment frameworks ensure that residents achieve defined proficiency standards. Together, simulation and structured assessment are reshaping ophthalmic surgical education.

## Rationale for Simulation-Based Training

### Patient Safety

Traditional apprenticeship model ("see one, do one, teach one") exposes patients to higher complication rates during the trainee learning curve. Cataract surgery complication rates are higher in the early portion of surgical training. Simulation allows trainees to make errors and learn from them without patient harm.

### Educational Benefits

Deliberate practice with immediate feedback accelerates skill acquisition. Standardized training ensures all residents achieve a baseline competency. Performance metrics provide objective assessment (eliminating subjective bias) Trainees can practice rare or high-stakes scenarios (posterior capsule rupture management, dropped nucleus) Available on demand; not dependent on surgical case volume.

### Regulatory and Accreditation Context

ACGME Ophthalmology Milestones include surgical competency benchmarks. Many residency programs now mandate simulation training (wet lab and/or virtual reality) ICO (International Council of Ophthalmology) recommends simulation as part of surgical training standards.

## Types of Simulation

### Wet Lab (Cadaveric and Animal Eye Models)

**Porcine or bovine eyes**: widely available; anatomically similar to human eyes. **Cadaveric human eyes**: closest to real surgical experience; limited availability. Used for: cataract surgery (phacoemulsification), vitrectomy, corneal suturing, trabeculectomy. Advantages: realistic tissue handling, haptic feedback, use of actual surgical instruments. Limitations: no standardization between specimens, biological variability, cost, infection risk, ethical considerations.

### Synthetic Eye Models

**Kitaro model, Phillips Studio model**: artificial eyes with replaceable components. Mimic corneal and lens anatomy for phacoemulsification practice. Consistent and reproducible; no biohazard. Limited in realism compared to biological tissue.

### Virtual Reality (VR) Surgical Simulators

**Eyesi Surgical Simulator (VRmagic/Haag-Streit)**: most widely used and validated ophthalmic VR simulator. Simulates cataract surgery, vitreoretinal surgery, and anterior segment procedures. Force-feedback instrument handles mimic real surgical feel. Microscope-based interface with foot pedals. Objective performance metrics: task completion time, instrument path length, tissue damage scores. Progressive difficulty levels; structured curriculum modules.

**MicroVisTouch**: haptic-enabled simulator for microsurgery training. **PixEye**: VR simulator for posterior segment laser and anti-VEGF injection.

### Bench-Top Models

Microsurgical suturing practice on synthetic materials or fruit. Capsulorrhexis practice on rubber membranes or tomato skin. Low cost; easily accessible; suitable for early skill development.

| Simulation Type | Examples | Realism | Cost | Key Advantage |
|---|---|---|---|---|
| Wet lab (animal eyes) | Porcine, bovine eyes | High | Moderate | Realistic tissue handling; haptic feedback |
| Wet lab (cadaveric) | Human donor eyes | Highest | High | Closest to real surgery |
| Synthetic models | Kitaro, Phillips Studio | Moderate | Low-moderate | Consistent; no biohazard |
| VR simulator | Eyesi, MicroVisTouch | Moderate-high | High ($100-150K) | Objective metrics; progressive difficulty |
| Bench-top | Suturing pads, fruit | Low | Very low | Accessible; early skill building |

![Resident training on the Eyesi virtual reality surgical simulator with microscope-like interface](images/eyesi-vr-simulator.jpg)

## Simulation Curricula

### Cataract Surgery Simulation

**Module progression**: wound construction, capsulorrhexis, hydrodissection, phacoemulsification (sculpting, chopping), irrigation/aspiration, IOL insertion. Competency benchmarks at each stage before advancing. Integration of complication management: posterior capsule rupture, dropped nucleus, zonular weakness. Pre-surgical warm-up: brief simulator session before live surgery improves performance (warm-up effect)

### Vitreoretinal Surgery Simulation

Vitrectomy techniques: core vitrectomy, membrane peeling (ILM, ERM), endolaser. Retinal detachment repair simulation. Fluid-air exchange. Complex scenarios: giant retinal tear, dropped IOL retrieval.

### Other Surgical Simulations

Corneal suturing (interrupted, continuous, running) Glaucoma surgery: trabeculectomy, tube shunt placement. Strabismus surgery: muscle isolation and reattachment. Oculoplastic techniques: laceration repair, lid margin repair.

## Competency Assessment Frameworks

### ACGME Milestones

Ophthalmology-specific milestones define progressive competency levels (1-5) Surgical milestones include: cataract surgery, laser procedures, intravitreal injections, minor procedures. Level 4 represents the expected competency at graduation. Assessed through direct observation, case logs, and simulation performance.

### Objective Structured Assessment of Surgical Skills (OSATS)

Global rating scale evaluating: respect for tissue, time and motion, instrument handling, flow of operation, knowledge of procedure, overall performance. Validated for ophthalmic surgery assessment. Used in both simulated and live surgical settings.

### ICO Ophthalmology Surgical Competency Assessment Rubric (OSCAR)

Standardized tool for assessing cataract surgery competency. Task-specific checklists and global rating scales. Nine domains: wound construction, capsulorrhexis, hydrodissection, phacoemulsification, cortex removal, IOL insertion, wound closure, complications, overall. Each domain scored on a 1-5 scale.

### Objective Assessment of Surgical Competency (OASC)

Video-based assessment: recorded surgical procedures reviewed by trained graders. Blinded review reduces bias. Step-by-step competency scoring for each phase of the operation. Used for both formative and summative assessment.

![OSCAR rubric domains for cataract surgery competency assessment](images/oscar-assessment-rubric.jpg)

## Evidence for Simulation Effectiveness

### Transfer of Skills to the Operating Room

Multiple studies demonstrate that simulation-trained residents have: **Lower complication rates** in early cataract surgery. Better instrument handling and tissue respect. Faster operating times after initial learning curve. Greater confidence entering the OR. Eyesi simulator performance scores correlate with live surgical performance.

### Dose-Response Relationship

More simulation practice leads to better surgical outcomes (up to a plateau) Minimum number of simulated cases for benefit: studies suggest 40-80 simulated cataract modules. Overtraining on simulator does not substitute for live surgical experience.

### Cost-Effectiveness

Initial investment in VR simulators is high (~$100,000-150,000 for Eyesi) Cost offset by reduced complications (posterior capsule rupture, vitreous loss) Single avoided complication saves approximately $1,000-5,000 in direct costs. Shared simulators across institutions improve cost-effectiveness.

## Integration into Residency Training

### Structured Curriculum Design

**Pre-clinical simulation phase**: intensive simulator training before first live surgery. **Concurrent simulation**: ongoing simulation practice during surgical rotations. **Pre-surgical warm-up**: 15-20 minutes of simulator practice before each operating day. Milestone-based advancement: must demonstrate competency at each level before progressing.

### Feedback Mechanisms

Automated performance metrics from VR simulators (objective data) Expert debriefing after simulated sessions (formative feedback) Video review of both simulated and live surgeries. Self-assessment tools for reflective learning.

### Challenges in Implementation

Faculty time for supervision and debriefing. Simulator availability and scheduling. Maintaining motivation for simulation practice. Balancing simulation with clinical responsibilities. Standardizing pass/fail benchmarks across programs.

![Wet lab training session with residents practicing phacoemulsification on porcine eyes](images/wet-lab-cataract-training.jpg)

## Key Clinical Pearls

Simulation-trained residents demonstrate lower complication rates in early cataract surgery compared to traditionally trained peers. The Eyesi surgical simulator is the most widely validated VR platform in ophthalmology, with objective performance metrics that correlate with live surgical outcomes. Pre-surgical warm-up on a simulator before operating days has been shown to improve intraoperative performance. Competency assessment should combine objective simulator metrics, structured observation tools (OSCAR, OSATS), and video-based review for comprehensive evaluation.

## References

1. Ferris JD, Donachie PH, Johnston RL, et al. Royal College of Ophthalmologists' National Ophthalmology Database study of cataract surgery: report 6. The impact of EyeSi virtual reality training on complications rates of cataract surgery. *Br J Ophthalmol*. 2020;104(3):324-329.
2. Thomsen AS, Bach-Holm D, Kjaerbo H, et al. Operating room performance improves after proficiency-based virtual reality cataract surgery training. *Ophthalmology*. 2017;124(4):524-531.
3. Saleh GM, Gauba V, Mitra A, et al. Objective structured assessment of cataract surgical skill. *Arch Ophthalmol*. 2007;125(3):363-366.
4. Sikder S, Tuwairqi K, Al-Kahtani E, et al. Surgical simulators in cataract surgery training. *Br J Ophthalmol*. 2014;98(2):154-159.