You can now objectively and automatically measure things like chronic wounds, burns, and skin conditions with our HIPAA Compliant iOS and Android Apps. Nurses can stream photographs directly to your desktop, where you can evaluate, track and manage your patients on our secure web portal.
44% Measurement Error
16% - 50% inconsistency between nurses
56.6 seconds to measure with ruler
< 5% Measurement Error
< 5% inconsistency between nurses
24.4 seconds to capture and upload a photo
Increase your diagnostic accuracy with consistent measurements at your fingertips.
The longitudinal tracking feature of our clinician-focused dashboard will give you a quick breakdown of all your patients' progress over time.
Remotely evaluate eligible patients with new telehealth reimbursement.
How can Tissue Analytics help my Patients? >
Save an estimated 50% documentation time compared to manual ruler measurements.
No bulky equipment or new workflows to learn - use a simple and intuitive smartphone application.
Automatically send data into your EMR without the need for time consuming file uploads.
Manage nursing resources more efficiently.
Increase clinic revenue with new telemedicine codes.
No expensive equipment needed - our HIPAA-compliant app complies with BYOD and Facility device standards.
Eliminate the time and cost of tracing wounds using a digital planimetry tool.
Advanced image correction techniques create the most reliable wound assessments.
Deploy documentation systems anywhere without the overhead of training or costly devices.
Blinded, objective statistical analysis automated as the study progresses.
"This software tells me exactly how a wound is progressing and completely streamlines my clinic's workflow."
Increase your diagnostic accuracy with consistent measurements at your fingertips.
The longitudinal tracking feature of our clinician-focused dashboard will give you a quick breakdown of all your patients' progress over time.
Remotely evaluate eligible patients with new telehealth reimbursement.
How can Tissue Analytics help my Patients? >
Save an estimated 50% documentation time compared to manual ruler measurements.
No bulky equipment or new workflows to learn - use a simple and intuitive smartphone application.
Automatically send data into your EMR without the need for time consuming file uploads.
Manage nursing resources more efficiently.
Increase clinic revenue with new telemedicine codes.
No expensive equipment needed - our HIPAA-compliant app complies with BYOD and Facility device standards.
Eliminate the time and cost of tracing wounds using a digital planimetry tool.
Advanced image correction techniques create the most reliable wound assessments.
Deploy documentation systems anywhere without the overhead of training or costly devices.
Blinded, objective statistical analysis automated as the study progresses.
Within 24 hours of signing up, you will be contacted to schedule a quick demo
Get it from your favorite App Store, it works on any iOS or Android smartphone or tablet
Start taking photos with your free trial
Within 24 hours of signing up, you will be contacted to schedule a quick demo
Get it from your favorite App Store, it works on any iOS or Android smartphone or tablet
Start taking photos with your free trial
Abstract
There are 8.5 million Americans who suffer from a chronic wound. Due to the lack of an objective system to measure and characterize wounds, the current standard of care relies highly on provider guesswork. This leads to misinformed care decisions, prolonged healing times, and high healthcare expenditures. Further complicating this process is the need for technologies that can readily be deployed among the thousands of nurses who visit patients in the home environment—the most common site of wound care. This study describes the design and validation of a smartphone image-based system for accurately measuring and characterizing chronic wounds in an automated and objective fashion.
Photos (n=81) were collected by the study team from patients (n=25) at the Johns Hopkins Bayview Wound Clinic in an IRB-approved study. Photos were taken using a variety of smartphones such that our training data set would include...