modern wound care
with sight, sound, and science.
From photo to complete clinical documentation, WoundScribe unifies AI imaging, scribing, and charting, replacing fragmented systems with a streamlined, modern solution.
Unlock revenue opportunities,
improve workflow, reduce compliance risk
while improving health outcomes.
WoundScribe AI
WoundScribe, is an all-in-one AI platform that supports wound care providers increase reimbursement, improve compliance, streamline workflows, and reduce provider burden, all while enabling smarter clinical decisions.
By consolidating multiple AI capabilities, including AI imaging and scribing, WoundScribe replaces fragmented systems with a modern, unified, AI-Native platform that drives better outcomes and financial performance.
“Pingoo.AI is among the 20 Generative AI Healthcare Startups Shaping the Future.”
- Renee Yao, AI/ML Startup Investor, NVIDIA
Privacy-by-Design
At WoundScribe, privacy is not an afterthought; it is embedded in our solution by design.
Our HIPAA-compliant platform puts patients’ privacy at the center of our technology and practice, so you can have peace of mind.
Read from Precision Health blog
What clinicians and experts say about us
WoundScribe is a first-of-its-kind wound care for patients and providers to track and monitor the progression of health conditions
For Providers
Time savings in manual documentation
Support in clinical decision-making
Reduction in follow-up calls
Suggesting billable CPT and other codes that are missed due to high work load
For Patients
Personalized education about the condition
Simple visit summaries
Better health outcome
AI Coach for follow up questions
Document a wound in 10 seconds
With WoundScribe.ai, clinicians can:
✅ Snap a photo
✅ Auto-generate detailed wound descriptions
✅ Go through a checklist to ensure nothing is forgotten to ensure compliance.
Faster. Smarter. Objective wound care.
WoundScribe goes where your data is.
Whether or not you use an EHR, WoundScribe is compatible: we support seamless integration with existing EMR systems.
