Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of an Advanced EHR Data Quality Management and User Interface Platform
  1. case
  2. Development of an Advanced EHR Data Quality Management and User Interface Platform

Development of an Advanced EHR Data Quality Management and User Interface Platform

digiteum.com
Medical
Information technology

Identified Challenges in Managing Dispersed and Inconsistent EHR Data

Healthcare providers often encounter difficulties in aggregating, validating, and maintaining up-to-date patient information due to multiple Electronic Health Record sources acquired over a patient's lifetime. This leads to fragmented data, manual effort in data correction, and limited visibility into comprehensive patient histories, compromising care quality and operational efficiency.

About the Client

A mid to large-sized healthcare organization seeking to enhance its electronic health records management through a flexible, user-friendly web interface that consolidates patient data from multiple sources, ensures data accuracy, and controls user access based on roles.

Goals for Enhancing EHR Data Integration and User Management System

  • Design and develop a unified web-based UI for managing EHR data quality, enabling easy search, display, and manipulation of patient records.
  • Implement functionality to compile a single most relevant and complete patient record from multiple EHR sources.
  • Enable parallel comparison and manual validation of patient data to ensure accuracy and currency.
  • Create a customizable workspace for users to mark and quickly access favorite records.
  • Establish a role-based access control system to assign user permissions to system functions and patient data views, ensuring secure and appropriate data access.
  • Facilitate seamless IT integration with existing healthcare systems without extensive dependency issues.

Core Functional Features for EHR Data Quality Management System

  • Custom search capability for quick retrieval of patient data across multiple sources
  • Display and manipulation of various patient data types with minimal dependencies between interface components
  • Functionality to create and manage a 'Single Best Record' from disparate EHRs
  • Parallel record comparison feature for manual data validation and correction
  • Workspace feature allowing users to mark records as favorites for instant access
  • Access Management module for role-based user provisioning and permission assignment
  • Easy system configuration for layout and integration with client healthcare infrastructures

Technological Framework and Architectural Preferences

Web-based platform utilizing modern frontend frameworks (e.g., React, Angular)
Backend services leveraging RESTful APIs
Role-based access control implementation
Responsive design for accessibility across devices

External System Integrations for Seamless Data Synchronization

  • Electronic Health Record systems to import patient data
  • Existing hospital or healthcare IT systems for data exchange
  • Authentication and authorization systems for user role management

Performance, Security, and Usability Expectations

  • System should support concurrent usage by hundreds of users without performance degradation
  • Data security compliant with healthcare regulations (e.g., HIPAA, GDPR)
  • System availability of at least 99.9% uptime
  • Quick response time for searches and data manipulation (<2 seconds)
  • Easy configuration for future system customization and scaling

Anticipated Benefits and Business Value of the Data Quality Platform

The implementation of this integrated EHR data management system will streamline patient data consolidation, reducing manual effort and data discrepancies. It is expected to improve data accuracy and completeness, facilitate faster access to relevant patient information, and ensure compliance with data security standards. Overall, these enhancements will lead to improved patient care quality, increased operational efficiency, and a scalable platform adaptable to evolving healthcare data needs.

More from this Company

Development of an AI-Powered Event Management Chatbot with Dynamic Content Integration
Content Curation System for Automated Knowledge Compilation and Delivery
Development of an AI-Powered Photo Book Creator and Ordering Platform
Automated Lexical Data Conversion Framework for Multilingual Digital Repositories
Development of an AI-Powered Voice Assistant for Book Recommendations and Customer Engagement