Woundification

Application for personalized wound treatment suggestions

01 Overview

A mobile application that uses the device's camera to analyze wounds and provide personalized suggestions to treat them via non-medical suggestions, reminders, and wound tracking. The goal is to improve patients’ outcomes through precise assessment and effective wound care management.

As a UX Research Lead, I’m responsible for

Research Stage

  • Conducting primary and secondary research to dig out our target users’ pain points.

  • Doing a competitor analysis to carve design opportunities and craft product strategies.

  • Interviewing various user groups including medical practitioners, diabetic patients, and the public.

Design Stage

  • Creating information architecture and user workflows

  • Developing UI wireframes and interactive Figma prototypes.

  • Edited videos to be presented to stakeholders using Adobe Premiere Pro.

Role

UX Researcher

UI Designer

Methodology

Agile

Information Architecture

Design thinking

User Test

Client

Providence Health

Tools

Miro

Figma

photoshop

Adobe AE

Timeline

3 months

02 Problem Statement

How might we create a wound care service for users with chronic wounds to treat their wounds effectively and promptly?

Brushing up on wound-related medical concepts

While our team is tasked to design a wound care solution and I’m the assigned UX lead, I’m not yet an expert in the domain. So, in order to get a holistic understanding of wound care, I spent plenty of time diving into learning a range of fundamental wound knowledge, including the wound healing process, wound types, and the general wound assessment process.

Goals

Our project’s goal is divided into 2 parts:

  • Stakeholders' goal: to pitch an innovative solution with a proof-of-concept to investors and industry partners

  • Users’ goal: to provide a personalized and user-friendly wound care treatment suggestions

Key Findings

03 Discovery

Technical Research

Wound Classification with Machine Learning

Exploring research papers and articles that can aid wound classification with machine learning algorithms.

Wound Identification with OpenCV and HSV Color Scale Analysis

Exploring methods to identify whether an image is a wound through an algorithm that analyzes the colors of an image. This method converts an image from its original BGR (blue, green, red) color space to an HSV (hue, saturation, value) color space.

Color Patch Method for Automatically Calculating Wound sizes

Exploring research papers on to color patch method that scans images and calculates the wound size.

Wound Depth Perception

Exploring the Tensorflow, PyTorch, Keras, MXNet, and other libraries to implement wound depth perception technologies.

Based on the initial research, we identified eight distinct types of open wounds that our application can detect:

  • puncture wounds

  • burns caused by heat

  • chemicals

  • electricity

  • bites and stings

  • abrasions

  • cuts

  • bruises

  • blisters

  • ulcers

Technical Limitations

  • Camera Quality
    A wide variety of smartphone cameras exist in today’s market making it difficult to have consistent photos for matching.

  • Measurement Inconsistency
    Without an easy-to-understand reference, the app/system may not measure the wounds properly.

  • Skin Color Variation
    in skin color may make it difficult for the app/system to recognize the state and type of wounds.

  • Downloading Heavy App
    Having a dedicated app on a mobile device may not be a feasible option for many users.

  • Wound Image Database
    Available and usable image databases of wounds may not be enough to create a good identifying solution.

Competitor Research

  1. Identify market opportunities and competitors

  2. Find the areas that we can offer and make improvement

  3. Set realistic goals and benchmarks for our product

Key Findings

There is currently no existing application in the market for users with little medical knowledge to receive long-term personalized medical advice.

User Research

We had 3 iterations of the interviews. We initially focused on new wounds but following the first round of interviews, I noticed few individuals require guidance on wound care treatment for new wounds. Interestingly, a majority of people express the need for guidance when their old wounds fail to cure on time (or within their expected duration so-to-speak). This discovery led us to pivot our initial design accounting for old wounds.

Interview - Version 1 (First Iteration)

User Research Objectives

Before designing the user research, we listed out the questions that need to be clarified.

  • Do my users have impairments or disabilities to consider–whether temporary, situational, or permanent?

  • How familiar are my users with technology?

  • How are my users accessing the product or service?

  • Where and when are my users accessing the product or service?

  • Have I considered all my potential users?

To better understand the needs of users, we conducted a survey to figure out how people treat.

Demographic Information

Number of participants: 45

Gender: female (n=30 ); male (n=15)

Educational level: above high school

Age: 20-25 years old (n=25) ; above 25 years old (n=20)

Questions

  • What wounds are you most likely to have?

  • How it is usually treated?

  • How often do you pay attention to the changes in the wound?

  • Will you search online or download software?

  • Have you ever had severe trauma?

  • How did you treat it?

  • What are the general questions for wounds?

  • Do you carry coins with you?

  • How often do you bring a phone charger with you when you go out?

  • What is your phone model?

Conclusions

Measurement tool

  • Few people bring coins and chargers with them all the time

Suggested Features(user’s need for this app):

  1. Compare to new wounds, they more care about the healing condition of old wounds or continuous follow-up

  2. Medication instructions

  3. Anticipated time or timeline

  4. Prevent the wound

  5. Get rid of the scar

  6. Skin allergy (treatment)

  7. How to go to the nearby available hospital that covered medical insurance fee

  8. Some of them don’t want to take pictures, they prefer to select similar pictures and make comparisons by themselves

  9. Most of them don’t need wound identification functions, because they know how causes of wounds

  10. Want to know what kind of other symptoms will be infected

  11. How to treat my wounds if I use the wrong way to treat them at the beginning

  12. Want to know more about invisible diagnosis

Diabetics:

  1. Have great demand for reminder functions—— their nerves are insensitive so that they will get hurt unconsciously

  2. Want to know more about invisible diagnosis

  3. Based on wounds, the app can provide more information about their condition

  4. Long-term tracking function

  5. Provide diabetics with educational resources on wound care, including information on how to prevent and manage wounds

Interview - Version 2 (Final Iteration)

Demographic Information

Number of participants: 45

Gender: Female (n=30); male (n=15)

Educational level: Above the high school

Age: Age: 20-25 years old (n=25); above 25 years old (n=20)

Assumptions

  1. Users who have failed to treat the wounds by themselves, want to know why is their wound(s) not cured or getting better.

  2. Users who have failed to treat the wounds by themselves, and want to know how to cure them.

  3. Users who have scars and want to get rid of them.

  4. Users who have a chronic wound(s) try to avoid infection and inflammation-diabetics, and users of old age.

Objectives

We aim to find out what common problems users have when they treat the wound(s) by themselves and what demands they need after treating wound(s) inappropriately.

Questions

  • How long does it take for a wound to heal?

  • When do you think you need to search the information about the wound or go to the hospital

  • If your wound doesn't heal on time, what would you do?

  • What support do you want to receive during your healing time?

  • What kind of questions do you always ask about your old wound (scar? inflammation?)

  • Where do you get the information on wound treatment?

  • How many problems do you think the suggestion part addressed?

Conclusions

Function:

  1. It’s better to have the function of guidance of medication.

  2. Details of why the system recommends this medicine to me.

  3. I want to have a diverse combination of medications that I can choose.

  4. I can’t find a big difference compared to Google research.

  5. I want to have an online service, or simulated human service so as to enhance credibility. like you can list out the keywords I need to mention in the beginning, then I can type the content by myself. and the keywords will be extracted and analyzed by an AI system. So that many unnecessary steps can be omitted.

  6. Typing long sentences is inconvenient, the voice input function is needed.

Experience

  1. Poor experience. merely the standardized questions fail to convince me that the app truly takes all of my conditions into consideration. Diagnosis is not a standardized thing, the whole process overlooks too many personal conditions.

  2. The result that the system gives is too general.

  3. The way of information collection lack of credibility.

  4. Your design should consider the psychological condition of patients.

Process

  1. Lacking freedom: I have to follow the whole process and then get a result.

  2. Several functions lack logic and connection.

Brainstorm

The interview results showed that people find it difficult to track their healing progress and search for personalized suggestions for their old wounds. Additionally, we found that diabetic patients commonly experience wound problems and have more complex conditions due to damage to nerves.

Based on these, we decided to look into implementations of the following features:

  • Wound identification and treatment suggestions for non-diabetic users.

  • Wound tracking and reminders for diabetic users.

Proposal

Identification

Provide wound identification function that helps patients know the type of wounds and their severity

Self-treatment suggestion

Provide tailored non-medical wound care suggestions that help the user handle old minor wounds appropriately and improve the user’s daily activities.

Medical reminder

Suggest nearby locations of clinics and hospitals especially if the wound becomes terrible or in other unpredictable conditions.

Wound tracking reminder

Assist in tracking users’ wound progress and remind them to address the old wound on a daily basis.

Woundication is an application

for people who are suffering from slow healing or chronic wounds

who would like to learn more about the condition of their wound and possible treatment options is an easy-to-use mobile application

which uses a series of assessment questions to understand the condition and classification of wounds

unlike Swift Skin and Wounds and Swift Ray 1 which are focused more on healthcare professionals

our product focuses on enabling everyday users to gain easy-to-understand medical knowledge about wound condition

04 Design Stage

Target Audience

• People who are suffering from chronic/slow healing wounds.

• People who experience minor/acute wounds on a day-to-day basis.

• Specific communities with special wound care needs.

User Flow

In order to provide accurate recommendations, I classified various factors that might be related to wound healing:

  • Different locations,

  • Types of laceration,

  • Level of laceration,

  • Different stages of laceration treatment,

  • General suggestions,

  • Cloth textures,

  • Activities,

  • Weather,

  • Prevention of scarring, and

  • Chronic disease

We are designing a wound identification system that collects wound information from users and provides non-diagnostic treatment suggestions accordingly. Part of the wound information will be collected by the phone camera, and the rest of the wound information will be collected through a questionnaire.

Wireframe + Mock up

Decision 1- Identification + Recommendation pages

We use camera recognition and questionnaires to identify wounds and provide personalized recommendations.

Wireframe

Final Iteration

Step 1: Wound Identification

Upon logging into the app, users select the wound location, take a picture, and submit it. After picture identification, users need to choose the reference pictures system provided to ensure accurate results.

Wireframe

Final Iteration

The system will ask for regular medical check-ups and generate the latest suggestions.

Step 2: Questionnaire

For accuracy and customized suggestions providing. Users are asked to answer the following questions related to their wounds and health condition.

Step 4: Tracking

Step 3: Recommendation

According to the result, nearby clinics, medications, and family doctor connections will be provided.

Decision 2- Tracking + Reminder function

We monitor the progress of wound healing and offer appropriate recommendations based on the users’ current state. At the same time, the notification function reminds them to take care of their wound in a timely manner.

Step 5: Notification

Notifications can be manually set to avoid inappropriate treatment that may result in poor healing, especially for older users.