# Wound management through quantitative documentation and prediction

> **NIH NIH R44** · XYKEN, LLC · 2022 · $950,463

## Abstract

Project Summary:
 We propose in this SBIR effort to develop a mobile health software system for clinicians to
conveniently and/or remotely manage and quantitatively document the healing process of chronic ulcers
such as diabetic foot ulcers. Timely, frequent, and accurate documentation on wound appearance and
dimension is vital for the growth assessment and tracking of treatment effectiveness. However, current
practice is subjective, inconsistent, and even invasive. The absence of easily accessible, repeatable, and
quantitative data affects care coordination among the medical staffs and handicaps the best treatment
planning for individual patients. For chronic wound sufferers, countless routine visits and the ever
increasing high treatment costs also hinders their chance of timely treatment and urgently calls for a
convenient alternative.
 Built on a seamlessly integrated client-server framework, the proposed management software
allows clinicians to easily exchange wound data with the cloud server, analyze the wound healing
information, and manage patient's treatment. Together with potentially other wound sensor data, our
software system offers objective and quantitative assessment on wound tissue healing status, avoiding
misinterpretation or inconsistent grading among medical staffers. With large patient data to be collected,
the proposed software is perceived to assist clinicians with evidence based healing prediction and more
effective personalized treatment planning.
 Every year, approximately 6.5 million Americans suffer from chronic wounds such as diabetic foot
ulcers, pressure ulcers, and venous stasis ulcers. The number is projected to grow rapidly due to the
aging baby boomer population and a sharp rise in diabetes and obesity. Chronic wound healing is a
lengthy process with months or even years of treatment time. Absence of personalized attention could
easily cause infections and complications, leading to loss of limb. Evidence suggests that 80% of
amputations are actually preventable through access of good quality and routine care. With the ever
increasing high healthcare costs and the likelihood of early discharge to home care, patients are highly
vulnerable to complications due to the lack of routine checkup or personalized care. All of these validates
the urgent need of an alternative, convenient, and low cost clinical practice as what our mobile health
app is able to provide.

## Key facts

- **NIH application ID:** 10469685
- **Project number:** 5R44AG067799-03
- **Recipient organization:** XYKEN, LLC
- **Principal Investigator:** Steven Yi
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $950,463
- **Award type:** 5
- **Project period:** 2020-09-01 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10469685

## Citation

> US National Institutes of Health, RePORTER application 10469685, Wound management through quantitative documentation and prediction (5R44AG067799-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10469685. Licensed CC0.

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