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BHQ AI Symptom Checker Appointment Integration

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Project

Internship 

Duration

December 2024 — January 2025 (12 weeks)

Role

UX Designer

UI Designer

Tools

Figma

Figjam

Overview

The BHQ AI Symptom Checker Integration is a feature that enhances the doctor appointment process when users book through the Bangkok Hospital's website or mobile app. Powered by Agnos Health's AI Symptom Checker, this feature helps patients identify the most likely conditions and recommends the most suitable specialists for their needs.

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About the company

For patients who are unsure about their condition and which doctor to consult, the integration of Agnos Health’s technology with the hospital’s appointment system helps guide patients in making more informed decisions by recommending the most suitable specialist based on their symptoms.

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Agnos Health is a tech startup that utilizes advanced technology to improve access to healthcare for Thai people. The company has partnered with Bangkok Hospital to provide its AI Symptom Checker product, a tool that uses AI to suggest the most likely and accurate diseases based on patient responses to a questionnaire. The AI then generates a list of potential conditions and recommended solutions.

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Problems

Patients often struggled to identify the right doctor when they were unsure about their symptoms. Agnos Health’s AI Symptom Checker addresses this by identifying their symptoms and recommending suitable doctors, making the booking process simpler and more personalized.

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Project Goal

According to the appointment process with Bangkok Hospital on their website and application, this feature is to identify the patients’ symptoms and recommend the most suitable doctors to the patients.

User Journey

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As is User Journey map

To be User Journey map

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Pain Points

Key Features

Problem Statement

"How Might We solve the random doctor selecting in the making appointment process. By designing the feature that can help users  to identify the patients’ symptoms and recommend the most suitable doctors based on those symptoms. This would allow users to easily access the healthcare services that are best suited to their needs."

User Flow

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Design System

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First Draft Hi-fi Prototype

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Doctor Card Brainstorming Design

Doctor Recommending Page Design

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Landing Page
The Introduction is made for understanding and gaining the users’ trust  The first page requires patients to input their general information and provide consent to start using the feature. This step is critical for establishing trust, as patients must share personal information and details about their symptoms.

User Interface Design

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