Real-World Application of an AI-Assisted Digital Workflow for Clinical Observational Data Collection in Dermatology Residency Programs: An Innovative Pilot Report From India

An AI-assisted, Google Workspace-based workflow significantly reduced both time and error rates in simulated dermatology research data collection. This approach is low-cost, rapidly deployable, and scalable to resource-constrained academic centers. Adoption of such workflows has the potential to improve research efficiency, enhance data integrity, and reduce resident stress, ultimately fostering a stronger research culture in dermatology training programs.