Transforming Eye Care with Seamless Data Management
HealthTech
2023 - ongoing
Manchester, The UK 
AWS|Docker|Python
Backend Development|Cloud|Data Engineering|DevOps
Dedicated team behind the project
The client
We work in conjunction with a UK provider RMSL, to provide a tailored software package to an NHS Provider company that offers a range of specialized eye care services to cater to different needs. Their Community Urgent Eye Care Service (CUES) provides prompt assessment, treatment, and referrals for sudden onset eye problems. Their Minor Eye Conditions Service (MECS) focuses on assessing and treating minor eye issues. They also provide a Learning Disability Service, which offers extra time and support for adults and children with learning disabilities during eye health checks and sight tests. Additionally, the company offers Pre- and Post-operative Cataract Services to assist those considering cataract surgery or who have undergone the procedure, providing comprehensive care throughout the process.
THE CHALLENGE
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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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