JITTOR vs Scrubfeed

Just-In-Time-Teaching for the Operating Room (JITTOR) is a Mobile App created as a surgical teaching tool for Obstetrics and Gynecology trainees. It contains a comprehensive number of checklists for obstetrical and gynecological procedures and surgeries. JITTOR helps learners refresh relevant knowledge immediately before the activity. JITTOR reduces cognitive load and increases the efficiency of information processing. However, it is not meant to replace more comprehensive educational tools such as textbook reading, simulation, visual imagery or aids, or live surgical teaching. We envision learners using the app as they ride in an elevator on the way to surgery or while walking down the hall before a procedure.

Scrubfeed is the daily intelligence feed built for plastic surgeons. Every day, new papers from the world's leading surgical journals are automatically indexed and summarized in the feed, one clear clinical takeaway per paper. Stop spending hours scanning abstracts, and get knowledge delivered efficiently and quickly to your phone in minutes. Every paper comes with an AI-extracted clinical takeaway, not a generic abstract, but the one finding that actually matters to your practice. Scrubfeed tells you what changed, what works, and what to watch for, with suggested articles, reactions and feedback from your community, and related findings. New papers are indexed and summarized automatically, so your feed is always fresh. See what colleagues are reading, saving, and reacting to. React to papers, leave comments, and discover what your medical community values most, before you even open the paper. You can filter by journal, subspecialty, and topic. No matter your specialty, your feed reflects what you actually care about. You can even bookmark any paper to your personal collection. Build your own reading list and return to it whenever you're ready. Content on Scrubfeed is for informational and educational purposes only and does not constitute medical advice. AI-generated summaries may contain errors, so users must always verify against the original peer-reviewed publication before making clinical decisions.