Doctorspace

Registry for Medical Practitioners and Healthcare Providers

Overview

This project aims to create a comprehensive registry of medical professionals by collecting their details from an external API and storing them in a database. This registry serves as a valuable resource for healthcare organizations, regulatory bodies, and individuals seeking information about medical practitioners.

Key Components

1. Authentication and Authorization:

   • Users can authenticate themselves using username and password and obtain an authentication token.
   • JSON Web Tokens (JWT) are used for token-based authentication, and a refresh token mechanism is implemented for token renewal.

2. Data Loading and Fetching:

   • The application provides endpoints to load and fetch medical professional data.
   • Medical professional details are fetched from an external API using RESTful calls.
   • Data loading and fetching operations are performed asynchronously to optimize performance and scalability.

3. Data Persistence:

   • Medical professional data is stored in a relational database using JPA (Java Persistence API) entities.
   • Data loading operations insert new records into the database, while data fetching operations update existing records with fresh information.

4. Scheduled Tasks:

   • Scheduled tasks periodically fetch updated data for medical professionals from the external API.
   • These tasks ensure that the registry remains up-to-date with the latest information about medical practitioners.

Project Workflow

1. User Authentication:

   • Users authenticate themselves using the /authenticate/token endpoint by providing their credentials.
   • Upon successful authentication, users receive an authentication token and a refresh token.

2. Data Loading:

   • Authorized users can upload batches of medical professional data using the /load/data endpoint.
   • The application processes these requests asynchronously, inserting the provided data into the database.

3. Data Fetching:

   • Scheduled tasks periodically fetch updated data for medical professionals from the external API.
   • The fetched data is processed asynchronously and updated in the database to ensure accuracy and completeness.

Benefits

• Comprehensive Registry: The application facilitates the creation of a comprehensive registry of medical professionals, consolidating information from multiple sources.
• Timely Updates: Scheduled tasks ensure that the registry is regularly updated with the latest information, maintaining its relevance and reliability.
• Efficient Data Handling: Asynchronous processing and parallel execution of tasks optimize the application's performance and scalability.
• Secure Access: Token-based authentication and authorization mechanisms ensure secure access to the application's functionalities.

Future Enhancements

• Search and Filtering: Implement search and filtering functionalities to allow users to query the registry based on various criteria.
• Data Enrichment: Integrate additional sources of information to enrich the medical professional data and provide more comprehensive profiles.
• User Management: Enhance user management capabilities to support role-based access control and user-specific preferences.
• Reporting and Analytics: Develop reporting and analytics features to analyze trends and patterns in the medical professional data.

Getting Started

To get started with the project, follow these steps:

Project setup

npm install

Compiles and hot-reloads for development

npm run serve

Compiles and minifies for production

npm run build

Lints and fixes files

npm run lint

Customize configuration

See Configuration Reference.

Contributors

• Deepak N N

License

This project is licensed under the MIT License.