FastCare: Wound Measurements That Agree, and Notes Drafted During the Visit
The problem
Wound-care clinicians spend a large share of each visit with a ruler and a keyboard: measuring wounds by hand, then typing notes. Two clinicians can measure the same wound and get different numbers, so healing is hard to track. Notes lag behind visits and records sit in separate systems, which affects reimbursement and the handover between shifts. Burnout follows.
FastCare is built for that visit: a wound measurement app that uses the phone's LiDAR and a scribe that listens while the clinician works, without adding steps or screens.
Ruler and keyboard
- Wounds measured by hand with a ruler
- Different clinicians, different numbers for the same wound
- Notes typed by hand and running behind visits
- Records spread across separate systems
Phone and conversation
- Length, width, depth and area measured with the phone's LiDAR
- Measurements that repeat from one clinician to the next
- A scribe drafts a structured note from the conversation
- Coded, audit-ready records that carry across shifts and integrate with existing EHRs
What we built
Wound measurement on the phone
A React Native app with native ARKit modules that use the phone's LiDAR depth capture to measure a wound's length, width, depth and area. The same method every time, with no ruler.
Voice scribe
Listens to the clinician and patient in real time over the OpenAI Realtime API and writes a structured note with findings, assessment and care plan.
Wound-care advisor
A voice agent that answers clinical questions using retrieval over the client's own wound-care guide, so answers come from the guidance FastCare already uses.
Coded, audit-ready records
Measurements and notes become standardized, coded data that supports care across shifts and integrates with existing EHR systems.
What changed
- Wound assessments across clinicians
- Reproducible
- Time spent on documentation
- Less
- Documentation at the point of care
- Hands-free
Wound Documentation Cheat Sheet
The elements a complete wound note covers, from location and etiology to measurement, tissue types, exudate, and the next review date. Also how FastCare captures measurements with the phone's depth sensor.
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FastCare clinical AI
The clinician's phone feeds conversation audio to the scribe and LiDAR depth captures to wound measurement, and both write coded clinical data that the EHR can take.
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