AiroCare
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 MBA
1 Data Scientist
1 Engineer
1 Designer
Mentor
Felix Litvinsky
Mayur Saxena
Dennis Gonzalez
Carolyn Chu
Niti Parikh Mia
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.
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
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.
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.
User Problems, Pain Points
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Current nebulizer deliver only 10% of drug
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Nebulizers don’t collect, nor analyze patient’s data
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Doctors don’t have a channel to analyze treatment
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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
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.
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.
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.
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.
Other final deliverables at the hackathon
3D Printing
3D Printed nebulizer
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.
