Transforming Eye Care with Seamless Data Management

Dedicated team behind the project

PARTNERSHIP

The client

PROJECT SCOPE

THE CHALLENGE

STRATEGIES AND EXECUTION

what was done

Working in conjunction with RMSL we support:

The technical aspects of the project involve utilizing a JotForm engine(HIPAA compliant) to provide patient referral forms on the front end, a PostgreSQL database for storing user data, and AWS Lambda functionality as the backend, developed using the Python programming language. The system primarily utilizes AWS as the main cloud hosting platform and leverages various Amazon Services for tasks such as email sending, monitoring, integration with NHS services like Docman, and integration with the company’s own hosted PACS system, and integration with external tools like Clicksend and Addevent.

Implemented features

feature:/ 01
Form Submissions and Data Storage
  • Capture and store patient referral form submissions securely in the PostgreSQL database.
  • Validate the submitted data to ensure consistency and accuracy.
  • Implement error handling mechanisms for data entry errors or incomplete submissions.
feature:/ 02
Database Management
  • Allow authorized users to view, edit, and manage patient referral data stored in the PostgreSQL database.
  • Implement data privacy measures to protect sensitive patient data.
feature:/ 03
Automated Notifications
  • Integrate with email service providers like Amazon SNS to send automated email notifications to relevant parties (e.g., referring physicians, specialists, patients) upon form submission or status changes.
  • Utilize Clicksend service to send SMS notifications to designated recipients.
  • Customize notification templates and allow users to configure notification preferences.
feature:/ 04
Integration with External Tools
  • Integrate with external tools like Addevent to synchronize patient referral appointments with external calendars.
  • Enable seamless integration with third-party services used in the healthcare ecosystem, such as electronic health record (EHR) systems or practice management software.
feature:/ 06
Scalability and Performance
  • Design the system architecture to handle a high volume of form submissions and database transactions efficiently.
  • Utilize AWS Lambda and other serverless components for auto-scaling and optimizing resource usage.
  • Regularly monitor system performance and optimize code or infrastructure as needed.

 

feature:/ 05
Security and Compliance
  • Implement appropriate security measures to protect patient data, including encryption, access controls, and compliance with privacy regulations (e.g., HIPAA).
  • Ensure compliance with applicable healthcare regulations and industry standards.

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