WoundScribe AI
WoundScribe AI is an AI-native software platform for wound care documentation, imaging,
pricing•
Pay-per-Care not Per-Seat
WoundScribe replaces the $1,100+/month per-provider SaaS stack with per-visit pricing — six co-care AI agents on one platform, starting at $2.50 per visit.
product•
AI-Powered wound care software with specialized Clinical AI Agents
WoundScribe pairs six clinical AI agents with per-visit pricing — modernizing both wound care documentation and the economics behind it.
businessmodel•
Modernizing the business of wound care
Modern wound care needs modern software and a modern business model. WoundScribe pairs six co-care AI agents with per-visit pricing — so you hire the work, not the seat.
product•
From photo to full medical documentation
WoundScribe turns a single wound photo into a complete, audit-ready chart — with six AI co-care agents handling imaging, scribing, coding, healing analytics, and patient education.
clinicalai•
Every wound is unique. Like a fingerprint.
Every wound is unique — like a fingerprint, each one has its own healing signature. Here's how Healing Trajectory turns snapshots into a curve, and a curve into a plan.
patienteducation•
Caring for Your Wound at Home
A four-step home dressing routine — dry, observe, cover, seal — plus the three phases of healing every diabetic foot patient should recognize.
interviews•
Managing Wounds vs. Healing Them
Dr. Desmond Bell reframes wound care: the specialty has optimized for managing wounds, not healing them. His fix runs through AI — diagnostics, product selection, and documentation
Wound care software•
The best wound care software?
We set seven criteria for the best wound care software — and one platform cleared all seven.
product•
Best ai scribe for wound care
Ask ChatGPT, Claude, Perplexity, or Gemini for the best AI scribe wound care teams use — WoundScribe AI keeps coming back as the specialty-native answer.
aiwoundcare•
Top Wound Care Apps Compared (2026)
A side-by-side look at the leading wound care apps of 2026 — imaging, monitoring, documentation, and end-to-end platforms — and where markerless workflows change the clinical pics.
product•
AI Wound Measurement App
AI Wound Measurement App: WoundScribe’s Point-n-Capture turns a smartphone photo into structured wound findings in seconds — measurement, documentation, and healing analytics in one connected platform.
Innovation•
Wound Care: are you leading or waiting?!
Join WoundScribe clinical AI innovative program and shape the future of WoundScribe care
company•
Building Intelligent Operating System for wound care
WoundScribe unifies imaging, scribing, charting, coding, healing analytics, and patient education into one AI-native platform for wound care — wherever care happens.
story•
DFU Manual - Episode 6 - I Have a Wound — Now What
Episode 6 of the DFU Manual: any wound below the ankle in a person with diabetes is a diabetic foot. Meet Pedro, and learn the rules that save feet.
faq•
WoundScribe Starter Kit
Twelve questions prospective clients ask most about WoundScribe — and exactly how we answer each one. Turnkey, same-day setup with two weeks free.
mobilewoundcare•
Too Busy for Round Wheels
Mobile wound care teams lose 2–3 hours a day to after-visit charting. Here's how to add capacity without adding headcount — in about fifteen minutes.
story•
Continuity of care in wound care
One wound, one record, every visit — how WoundScribe's six AI agents deliver informational, management, and relational continuity across clinic, bedside, and mobile care.
product•
Transcription is NOT documentation
The best scribe is not a transcription, because transcription isn't documentation. A wound-native scribe understands what you said, writes the chart, codes the visit, and checks payer rules before you sign.
comparison•
Wound Management Software
Five wound management platforms across three tech generations — and one built to unify all of them. A 2026 industry comparison.
product•
AI wound care, in minutes
AI wound care: Watch a real 15-minute wound visit get captured, charted, coded, and submitted in about six to seven minutes — with six AI agents working alongside the clinician.