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AiroCare

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Cornell Health Hackathon:  a health monitor app with a smart nebulizer that improves medical care for asthma patients

Year

 

2023

(36 hours)

My Role

 

User Research

Ideation

Wireframing

Prototyping

Team

 

1 x MBA, Data Scientist, Engineer, Designer

Mentor

Felix Litvinsky

Mayur Saxena 

Dennis Gonzalez

Carolyn Chu

Niti Parikh Mia

Recognition

 

Grand Prize Winner

Design Tool

 

Figma

Overview

About Cornell Health Hackathon

The 2023 Health Hackathon gathered 200 participants in-person from across degrees, majors, and schools to create solutions to needs in human health & wellness in 36 hours. Participants; comprised of medical, business, engineering, and design students; were split into groups of 4 to 5 to collaborate, ideate, design and showcase the project (Point-of-care devices, medical devices, health-tech, hardware, software) to an audience of peers, mentors, and sponsors.

The Challenge

What is AiroCare?

AiroCare is a health tracking app with a smart nebulizer that collects users' data, analyzes their breathing patterns, and communicates this information with patients and their doctors. The app works in combination with a nebulizer and spirometer via bluetooth. It also can be used as an external attachment with many inhalers and bluetooth spirometers. Technology which automatically tracks medication use, measures lung capacity, and the information is synced with patient's doctor on doctor's portal. 

The Problem Statement

Child asthmatic patients struggle to remember and convey their treatment details to physicians, exacerbated by nebulizers' inadequate data collection and analysis features. Simultaneously, physicians lack a comprehensive platform to evaluate the progression of treatments.

Our Process

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Research

I started out conducting primary interview with my teammate who has experienced asthmatic treatment as a child; and a secondary research using online resources to understand the importance of asthma management; what kind of health activity does patients want to view. 

I proceeded to conduct a competitor analysis of some direct and indirect players by reviewing their app features, interface design, pricing, and users feedback.

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Competitive Analysis

Identify direct and indirect competitor's devices that are built to aid asthmatics. Review their success strategy, app features, interface design, pricing, and users feedback.

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User Problems, Pain Points

  • Current nebulizer deliver only 10% of drug

  • Nebulizers don’t collect, nor analyze patient’s data

  • Doctors don’t have a channel to analyze treatment

  • Unpredictable weather changes that triggers symptoms

Target Users

Young patients who have asthma or any other respiratory condition that requires the use of nebulizer

Physician who can track patient’s analystics

Market Size

Product Challenge

Child asthmatic patients struggle to remember and convey their treatment details to physicians, exacerbated by nebulizers' inadequate data collection and analysis features. Simultaneously, physicians lack a comprehensive platform to evaluate the progression of treatments.

Define HMW Statement

How might we assist young asthma patients undergoing nebulizer treatment in effectively managing and controlling their asthma treatments, while also enhancing communication between them and their physicians?

User Persona

We started off taking with data scientist about what kind of data they can be generated and how does the data looks like 

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Information Architecture

I created an application sitemap with high priority features for important features in the app which will be used by all asthmatic users.  

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Wireframe

After a brainstorming session and sketching, we conducted the initial testing with our mentors and made adjustments to our user scenario according to their feedback and started to draw the screens on Figma.

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Ideation and Design

High Fidelity Prototype

Creating a high-fidelity interface within a tight 24-hour timeframe while also trying to achieve the complexity of our solution was a huge challenge. The Apple Voice Memos app provided a good starting point for recording and sharing messages. Beyond this home screen, my group considered how the app should allow users to simultaneously 'hug' while speaking.

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Appendix

Before we landed on AireCare

Our team pitched many other healthcare ideas before the hackathon commenced and we decided to centered around addressing challenges in the treatment of asthma patients using nebulizers to the best of our abilities. Our plan during the hackathon involves crafting a mobile and tablet device for patient-doctor data analysis, a 3D-printed nebulizer, and the integration of machine learning to predict breathing patterns.

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Final Deliverables: 3D Printed Nebulizer at the hackathon

Assisted in 3D Printing

3D Printed nebulizer

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Machine learning for breath forecasting

What's Next? Product Roadmap

The hi-fi prototype needs to be tested with the target segment for uncovering errors and possible improvements in usability and interaction. The next steps would be conducted  user testing for the usability of symptoms, peak flow, triggers and medication to help patients and physician's track the treatment progress over a period of time.

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Thank you for reading!

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