Medical Dental Health App
A modern mobile app designed for dental providers in the city to manage appointments, patient records, and treatment plans efficiently. Enhance patient care with streamlined communication and real-time scheduling tools.
Medical Dental Health App
We took a comprehensive approach in designing and developing the dental health and providers app:
· Requirement and Ideation: Conducted market and user research to identify pain points in existing apps.
· UI/UX Enhancement: Created a user-friendly interface focused on simplicity and engagement.
· End-to-End Development: Utilized native technologies for optimal performance on iOS and Android platforms.
· Testing and Optimization: Conducting rigorous testing for performance, usability, and security.
· Deployment and Support: Managing app store submissions and providing post-launch support.
· Iterative Feedback: Providing ongoing support through beta testing phases, refining designs and functionalities based on user feedback to improve engagement.
Our Role
User Registration and Profile Management
Simple onboarding with options for social media, email, or phone number sign-ups.
Profiles for customers, each with unique feature sets and permissions.
Push Notifications and In-App Messaging
Instant notifications for order status updates, promotions, and new listings.
In-app messaging to communicate with customer support.
Secure Payment Integration
Multiple payment methods, including paypal, credit/debit card, digital wallets, and crypto.
Secure payment processing with encryption and compliance with PCI-DSS standards.
Ratings, Reviews, and Feedback
Post-delivery feedback system for customers to rate providers and overall service.
Dashboard analytics for the providers to understand customer feedback and improve offerings.
Insights and Analytics
Detailed reports on habit trends and performance.
AI-based suggestions for improving consistency.
Cross-Platform Sync:
Synchronization across devices to ensure data continuity.
App Features
The foundation of our dental providers app lies in robust and reliable native technologies, ensuring optimal performance, scalability, and seamless user experience. By focusing on platform-specific tools and frameworks, we aimed to leverage the full potential of the devices our app runs on. Here’s a detailed overview of the core technologies utilized:
iOS Development with Swift
For iOS, we chose Swift as the primary programming language. Swift enables the creation of high-performance applications while maintaining clean, maintainable code. Its powerful features, like memory safety and fast execution, were instrumental in building smooth animations, real-time habit tracking, and integration with Apple Health. This allowed users to synchronize their fitness habits and monitor health data effortlessly.
Android Development with Kotlin
On Android, we opted for Kotlin to take advantage of its concise syntax, enhanced readability, and compatibility with Java-based libraries. Kotlin’s null-safety and coroutine support were key in handling asynchronous tasks, such as syncing data between local storage and the cloud. This choice ensured a reliable and efficient app experience across the wide range of Android devices.
Database Management with SQLite
To manage user data efficiently, we used SQLite for local storage. This lightweight, embedded database enabled the app to operate seamlessly offline, allowing users to track habits without internet access. For synchronization and backup, we integrated cloud storage, ensuring data continuity across devices while maintaining a small local footprint for speed.
Backend Infrastructure with Node.js
Our backend relied on Node.js, a versatile and scalable JavaScript runtime. This choice provided real-time data synchronization and support for APIs that powered dynamic features like patient analytics and reminders. Node.js offered the flexibility to scale as the user base grew, ensuring consistent performance.
Cloud Services with AWS
Amazon Web Services (AWS) was employed to manage hosting, notifications, and analytics infrastructure. With AWS’s reliability, we implemented push notifications, analytics for tracking app performance, and storage for user data. Using services like AWS Lambda and S3 helped optimize cost and efficiency.
AI and Machine Learning with TensorFlow Lite
To add a personalized touch, we used TensorFlow Lite for on-device machine learning. AI-driven habit recommendations, such as suggesting optimal procedures or identifying providers that may need adjustment, enhanced the app’s usability. By leveraging TensorFlow Lite, we ensured low-latency and high-efficiency models running directly on users’ devices.
Integration with Wearables and APIs
Recognizing the growing popularity of wearable devices, we enabled integration with smartwatches and fitness bands. This allowed users to track physical activity or hydration directly from their devices. Additionally, APIs from platforms like Apple HealthKit and Google Fit were implemented to expand functionality.
