Design Thinking in the AI Age: From Bottleneck to Multiplier
In a recent morning conference at a regional hospital, a senior attending physician asked us: 'Isn't design thinking outdated by now?' We hear that question more than once a year in the medtech space. Our answer: design thinking didn't fail in the last decade — it just ran too slowly. AI compresses the prototype-and-feedback loop from months to days, which is what design thinking has been quietly waiting for. This piece walks through our recent internal pivot — from a single-specialty pilot to a cross-specialty schema composer — to show why AI is not the replacement for design thinking. It's the tool design thinking has been waiting twenty years for.
First-Visit Brief: When the Patient Can't Name the Tissue
Most clinical AI demos feature the tidy post-op patient with weeks of longitudinal data. The clinic-reality majority are first visits: no history in the system, a single verbal complaint, and roughly 60–70% with no surgical need. This post is about what iRehab calls the pre-visit Brief — the short, structured summary that lands on the physician's screen before the patient sits down — and why its central design constraint is that the patient cannot answer 'is it tendon or nerve?'
Intake Compression, Not Form Consolidation: How iRehab Doctor AI Works
Most medical AI is heading toward end-to-end automation. iRehab goes the other way. Physicians don't need AI to finish their paperwork — they need it to translate two weeks of patient-reported data into a specialty-relevant summary in the two minutes before the patient sits down. Draft-Only Enforcement is the guardrail that keeps the translator honest.
When AI Learns to Write Clinical Notes — The Case for Draft-Only Enforcement
iRehab Doctor AI Phase 2 lets AI draft clinical assessments, but never auto-publish. Why we chose draft-only enforcement over full autonomy, and what it means for the future of AI in orthopedic practice.