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Development of a Nationwide Digital Patient Record Management System
  1. case
  2. Development of a Nationwide Digital Patient Record Management System

Development of a Nationwide Digital Patient Record Management System

lionwood.software
Medical
Government
Healthcare

Challenges of Fragmented Healthcare Data and the Need for a Unified Patient Record System

A healthcare organization facing the challenge of consolidating clinical analyses, diagnostic documentation, prescriptions, and treatment events from various institutions into a single, verified, and secure digital platform. Existing workflows are hindered by inconsistent data formats, manual paperwork, and a lack of interoperability, leading to inefficiencies and potential data inaccuracies. Ensuring compliance with regional and international healthcare data regulations adds further complexity.

About the Client

A large-scale healthcare agency or medical authority seeking to unify patient health data across multiple institutions to streamline workflows, improve data accuracy, and ensure regulatory compliance.

Goals for Building a Secure, Scalable, and Compliant Patient Record Management System

  • Develop a robust web-based platform allowing healthcare providers and patients to access, update, and verify comprehensive clinical data.
  • Ensure compliance with relevant healthcare data standards and regulations (e.g., HL7, EU GDPR).
  • Aggregate data from diverse heterogeneous sources into a unified, standardized repository with verified information.
  • Design intuitive user experiences for patients, healthcare professionals, and caregivers to facilitate efficient workflows and data entry, replacing traditional paper-based routines.
  • Architect the system for scalability to accommodate nationwide deployment with different user scenarios, including appointments, prescriptions, and clinical documentation.
  • Extend functionalities to cover pharmaceutical adherence and other specific healthcare operational needs.

Core System Functionalities and Features for Unified Patient Data Management

  • Patient and healthcare provider portals with role-specific UX design
  • Real-time viewing and updating of clinical laboratory results, anamneses, prescriptions, and diagnostic documents
  • Data verification processes to ensure integrity from multiple sources
  • Interoperability compliant with healthcare data standards such as HL7
  • Secure user authentication and authorization protocols
  • Ability to handle multiple data sources and formats with standardized consolidation
  • Pharmaceutical management features including adherence tracking

Technology stack and architecture for healthcare record platform

.NET 6 for backend development
React.js with TypeScript for frontend interfaces
Docker containers for deployment scalability
RabbitMQ for messaging and asynchronous processing
Redis for caching and session management
PostgreSQL with MongoDB for data storage

External System Integrations for Data Verification and Compliance

  • Healthcare data standards and protocol interfaces (e.g., HL7)
  • Laboratory and diagnostic device data feeds
  • Pharmacy information systems for prescription adherence
  • Regulatory compliance modules for data security and audit trails

Key Performance and Security Specifications

  • System scalability to support nationwide deployment with thousands of concurrent users
  • High performance with minimal latency in data retrieval and updates
  • Strict security measures to comply with EU GDPR and healthcare regulations, including data encryption and audit logging
  • High system availability and fault tolerance

Projected Outcomes and Business Benefits of the Unified Patient Record System

The implementation of this integrated patient record management system is expected to streamline healthcare workflows, reduce administrative burdens, and improve data accuracy and accessibility. It aims to support nationwide adoption, enabling healthcare providers and patients to efficiently access verified clinical data, thereby enhancing treatment outcomes and operational efficiency on a large scale.

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