RN Command Pro — AI Copilot Edition

Home-health nurses work alone in patients' homes — no charge nurse down the hall, no IT department, often no reliable signal — and then spend their evenings finishing the documentation (OASIS-E2 assessments, visit notes) that determines whether their agency gets paid and their patients stay safe. I know this world firsthand. I'm a psychiatric RN of 17 years, and I just started as an RN Supervisor at a home-care agency, supervising the very nurses this tool serves. RN Command Pro — AI Copilot Edition extends my already-shipped app, RN Command Pro (live and selling today), with one well-scoped AI layer: Voice-to-charting (the flagship). The shipped app already captures the visit by voice and transcribes it 100% on-device with Whisper — the audio never leaves the nurse's device. The Copilot Edition adds the structuring step: the transcript is shaped into a clean, OASIS-E2-aligned draft note the nurse reviews, edits, and approves. Nothing is ever auto-filed; the nurse is always the last set of eyes. And the Copilot doesn't only speak to the chart — it speaks back to the nurse. The Copilot tab opens with a "For the Nurse" card: twelve short affirmations drawn from my own devotional book for nurses, Refreshed for the Calling — lines for charting fatigue, the visit nobody saw, the shift that asks more than you have. Motivation is not a feature list, but nurses run on it, so the tool carries some. Around that flagship, the shipped base already carries what a field nurse needs offline: clinical documentation templates (SBAR, handoff, psych/mental status), 8 clinical calculators with dual verification on high-risk math, GCS / burn Rule of 9s / ACLS rapid reference, consent-gated telehealth with live transcription into the visit note, OASIS-E2 and hospice HOPE modules, six specialty add-ons, and a 10-language interface including Arabic RTL — with all data in on-device storage and patient initials only, by design. Feasibility is the point: this is one AI layer on a working, selling product, built by one domain expert with AI engineering assistance — the workflow this hackathon is about. Try the Copilot Edition build live: https://tinglott.github.io/rn-command-pro-copilot/ (the repo README has test instructions). The shipped product: https://tlott12.gumroad.com/l/gtanuu