Wound Capture
Digital wound documentation
About
This app streamlines wound documentation for healthcare providers and patients. It uses AR to measure wound dimensions, allows for note-taking, and tracks wound progress over time with trend analysis. Data can be uploaded to EMRs with a single click, significantly reducing workflow time.
What's New in Wound Capture
1.0.1
November 23, 2020
We've added great additional features for nurses to document wounds, including an all new look for the wound entry process and more customization/manual options.
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FAQ
How does Wound Capture measure wound dimensions?
Wound Capture utilizes ARKit and ML Core to provide AR-based measurement of wound width and length. This allows for accurate, real-time calculations directly on the device.
Can Wound Capture be used for tracking wound healing over time?
Yes, Wound Capture offers trend analysis based on past images of the same wound. This feature provides a real-time view of wound progress and predictability.
How does Wound Capture integrate with Electronic Medical Records (EMRs)?
The app is designed for enterprise access and connects to EMRs via FHIR/HL7 APIs. This allows for one-click data upload into a patient's record.
What is the typical workflow improvement with Wound Capture?
Wound Capture aims to transform a 20-60 minute workflow into less than 5 minutes with immediate mobile capture and upload. This efficiency can lead to significant annual savings in labor costs.
What devices is Wound Capture available on?
Wound Capture is currently supported on iPhones and iPods. The app is rated for users aged 17 and older.
When was Wound Capture last updated?
The latest version of Wound Capture, 1.0.1, was last updated on November 23, 2020. It was initially released on June 15, 2020.
Does Wound Capture have ads?
No, Wound Capture does not contain advertisements. It is a free application focused on providing a streamlined wound documentation experience.
What is the user feedback on Wound Capture?
Wound Capture has received a rating of 4.0 stars from 3 ratings. This indicates generally positive user sentiment based on the available data.
