Introduction

Find My Doc is an integral part of the Pi Health Project, designed to bridge the gap between patients and healthcare providers. As a user-friendly website, it empowers individuals to locate doctors within their local community effortlessly. Whether you are seeking a specialist or a general practitioner, Find My Doc streamlines the process by allowing users to apply advanced filters based on factors such as city and medical specialty.

Technology Stack

By leveraging this stack, Find My Doc achieves a harmonious blend of performance, maintainability, and user-centric design.

1. TypeScript: TypeScript is a statically typed superset of JavaScript. It enhances code quality by adding type annotations, interfaces, and other features. By catching type-related errors during development, TypeScript promotes robustness and maintainability.

2. Chakra UI Chakra UI is a modern design system and component library specifically tailored for React applications. It provides a set of accessible and customizable UI components, allowing developers to create consistent and visually appealing interfaces with ease. Its simplicity and flexibility make it a popular choice.

3. Next.js Next.js is a React framework that simplifies server-rendered and static website development. It offers automatic code splitting, server-side rendering, and built- in routing. By optimizing performance and SEO out of the box, Next.js empowers developers to focus on building great user experiences.

4. MeiliSearch MeiliSearch is an open-source search engine designed for fast and relevant search capabilities. It seamlessly integrates with applications, handling large datasets efficiently. Its simplicity and speed make it an ideal choice for implementing search functionality in Find My Doc.

Engine Separation Strategy

Components: The application is organized into reusable components, promoting a component-based architecture.

Route: In the Find My Doc project, we leverage dynamic routed technology provided by Next.js. This approach is particularly useful when we don’t know the exact segment names ahead of time. By using Dynamic Segments, we can create routes dynamically based on data. These segments are either filled in at request time or pre-rendered during the build process.

Data: Dealing with a vast dataset of doctors can be time-consuming, especially when searching for specific doctor names based on user input. To enhance performance, we employ full-text search capabilities.

For this purpose, we integrate MeiliSearch, a powerful open-source search engine. MeiliSearch efficiently indexes and retrieves relevant data, ensuring swift responses to user queries.

Challenges and Solutions

Routing

Challenge: In the context of Find My Doc, we encounter a unique challenge. As we develop the website, we cannot predict the exact segment names input by users ahead of time. Additionally, it is impractical to statically design each page to accommodate every possible user input.

Solution: To address this challenge effectively, we harness the power of Next.js dynamic routing. By utilizing Dynamic Segments, we create routes that adapt dynamically based on user input. These segments are either filled in at request time or pre-rendered during the build process. This approach ensures flexibility and scalability, allowing us to cater to diverse user queries seamlessly.

Achievements

Streamlined User Experience: Find My Doc successfully bridges the gap between patients and healthcare providers by offering a user-friendly website that facilitates effortless location of doctors within the local community. Advanced Technological Integration:

Leveraging TypeScript, Chakra UI, Next.js, and MeiliSearch, the platform achieves a harmonious blend of performance, maintainability, and user-centric design. TypeScript enhances code quality, Chakra UI provides modern design components, Next.js simplifies website development, and MeiliSearch ensures fast and relevant search capabilities.

Scalable Architecture:

The application's component-based architecture and dynamic routing strategy ensure scalability and flexibility in accommodating diverse user queries, contributing to an enhanced user experience.

Key Learning Dynamic Routing Efficiency : Next.js dynamic routing efficiently adapts to diverse user inputs, showcasing the importance of flexibility in web development, especially when segment names cannot be predetermined. Specialized Tool Integration:

MeiliSearch integration highlights the value of leveraging specialized tools like open- source search engines to optimize application performance, particularly with large datasets. Modular Design Benefits:

Organizing the application into reusable components emphasizes the benefits of a component-based architecture for maintainability and scalability in web development projects.

Conclusion

Find My Doc exemplifies successful integration of advanced technologies to connect patients with healthcare providers seamlessly. Through TypeScript, Chakra UI, Next.js, and MeiliSearch, the platform ensures a user-centric experience while maintaining performance and scalability. This initiative underscores the importance of innovative technology solutions in addressing healthcare challenges and improving access to essential services.