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The Solution

Our team implemented a multi-faceted solution to meet the client’s objectives:

  • Legacy Transition to React: Maintained existing functionalities while progressively rewriting the application in React, ensuring seamless user experience during the migration.
     

  • Dynamic PDF Generation: Built a robust system to generate NHS-compliant documents dynamically, adhering to strict formatting, legal, and consistency standards.
     

  • Real-Time Communication Channels: Developed secure communication frameworks between medical entities, allowing faster information exchange, reducing patient wait times, and enhancing collaboration.
     

  • Workflow Automation & Integration: Implemented Windows SSO, improved clinical form validation, enhanced reporting, and automated repetitive tasks such as data archiving and notifications.
     

Component Library & Form Management: Introduced a reusable React-based component library, enabling rapid integration of new forms and accelerating the deployment of additional features.

Business Impact

The implementation delivered measurable improvements in efficiency, compliance, and patient outcomes:

  • Reduced Patient Wait Times: Within three months, cumulative wait time for 1,000 patients was reduced by three years through streamlined document handling.
     

  • Error Reduction in Documentation: Dynamic PDF generation eliminated misplaced content or lost pages, ensuring compliance with NHS standards.
     

  • Faster Feature Deployment: The new React-based workflows and component library accelerated integration and release of new forms and functionalities.
     

  • Enhanced Operational Efficiency: Automation of routine tasks improved reliability, reduced administrative workload, and enabled staff to focus on patient care.
     

These enhancements allowed the client to modernize operations while maintaining high-quality patient care and regulatory compliance.

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Frequently Asked Questions

How does the AI-powered coupon allocation work?

Coupons are distributed based on user achievements and merchant attributes using vector embeddings to ensure personalized and relevant offers.

Can users find merchants accurately with the chatbot?

Yes, the Rasa-powered semantic search chatbot leverages vector embeddings and refined intent classification to provide precise merchant recommendations.

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Mobile app

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Mobile app

Modern Web Solutions for Streamlined Acute Mental Health Care

Brand: Not Disclosed 

Industry: Healthcare

Technologies: JavaScript, Node.js, Express, React, Redux, Angular, MongoDB, Datadog, CircleCI, Azure

Partnership: 2021-2023

Overview

Our client provides a multi-device software solution that unifies admission, treatment, and discharge pathways for acute mental health care. The platform empowers healthcare professionals to deliver faster, safer, and more efficient care while supporting compliance with NHS standards.

 

The organization faced the challenge of modernizing a legacy system without disrupting ongoing operations, integrating real-time communication across medical entities, and dynamically generating compliant documents.

Is the system scalable for future growth?

The architecture is designed to integrate additional merchants, handle more users, and continuously improve recommendations based on engagement feedback.

How does personalization improve user engagement?

By analyzing user behavior and clicks, the system delivers tailored offers and recommendations that align with each user’s interests and exploration patterns.

Tech Stack

The Challenge

The client needed a solution that balanced modernization with operational continuity:

  • Legacy System Transition: Rewriting the platform in React while maintaining uninterrupted access to legacy functionalities.
     

  • Document Compliance: Implementing dynamic PDF generation using NHS templates with strict formatting and legal adherence.
     

  • Real-Time Communication: Enabling secure, immediate data exchange between medical entities to reduce patient wait times.
     

  • Operational Efficiency: Automating critical tasks such as data archiving, database cleanup, and automated email notifications to streamline workflows.
     

The business goal was to modernize the platform while increasing care efficiency, improving collaboration, and ensuring compliance with healthcare regulations.

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