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HEALTH AI.

HEALTH AI.

Improving health and wellness tracking with AI.

Client: tvam Technology

Background:

Tvam is a tech company focused on health and wellness. They use AI technology and video based tools to help people track important health information, like blood pressure, heart rate, oxygen levels, breathing rate, hemoglobin, and cholesterol, all through a smartphone.

Project Objective:

The goal of this project is to create a simple mobile app for TVAM agents. These agents are local village residents trained to help others by keeping track of their health. Their main job is to manage health records in their communities, especially in rural areas where healthcare is harder to reach.

App Goals:

  • Turn health records into digital form.
  • Keep a better track of people's health over time.
  • Make the app easier and more enjoyable to use by improving its current design.

Research

To start the project, I asked myself five key questions to set the foundation:

  • Who will use the product?
    - TVAM agents, who are health educators and monitors in rural communities across India.
  • What are we building?
    - A mobile app to help digitize, store, and track health records.
  • Where will the product be used?
    - In rural India, where healthcare challenges need to be addressed.
  • Why is this product needed?
    - It brings healthcare closer to rural areas, overcoming distance issues.
    - It allows for remote health monitoring, so people don’t need to go to a clinic as often.
    - It connects patients in rural areas with doctors for expert advice.
    - It provides affordable health measurements without the need for costly lab tests.
  • How will people use the product?
    - The app will be used by men and women in villages, aged 18-45, who are not very familiar with smartphones and prefer to use their local language instead of English.

TVAM agents, assiting rural residents

User Persona:

After talking to TVAM agents and people living in rural areas, we found a few more challenges the app needs to solve:

  • The app should support multiple languages and reduce the need for typing.
  • It should have a simple design with few steps and quick interactions.
  • The app should offer helpful information wherever possible.

Empathy mapping
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Existing User Flow & Screens

Right now, the process uses a mobile app that's hard to understand. The interface is confusing, everything relies on text, and there's no option for different languages. This makes it tough for users to find their way around, leading to wasted time and a lot of frustration.

Existing Flow
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Existing Screens
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Redesigned User Flow & Screens:

We redesigned the process to make it super simple and user friendly. The app now needs less typing, includes a face scan feature for quick health checks, has easy navigation, and supports multiple languages. It also sends health alerts to help users stay on top of their well-being.

Redesigned Flow
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Redesigned Screens
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Wireframing:

Based on what we learned during research, we sketched out wireframes to plan the app's look and feel. These designs focused on keeping things simple and easy to use, tailored to the specific needs of people in rural India.

High fidelity wireframes
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Prototyping and Testing

We tested the app with TVAM agents and found a few things to improve:

  • The logout icon was confusing, so we switched it to a simple "Exit" button.
  • Text links for actions were unclear, so we replaced them with easy-to-spot buttons.
  • To cut down on typing, we added a face scan feature for quick health checks.
  • Users liked getting health risk notifications to stay informed.
  • The dashboard got mixed reviews, but we kept it because it clearly shows a person's health status at a glance.

Conclusion

Designing for rural India comes with its own challenges and opportunities.

Through careful research and testing, we built a mobile app that makes life easier for TVAM agents. These agents help their communities by keeping health records and tracking overall health.

The app is simple to use, supports multiple languages, and requires very little typing, making it perfect for people in rural areas.

In the end, this project supports tvam’s goal of improving healthcare access, reducing costs, and making health data more useful for businesses and hospitals.