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 a Comprehensive Electronic Health Record System for Specialized Medical Clinics
  1. case
  2. Development of a Comprehensive Electronic Health Record System for Specialized Medical Clinics

Development of a Comprehensive Electronic Health Record System for Specialized Medical Clinics

jelvix.com
Medical

Key Challenges Faced by Healthcare Clinicians Due to Outdated EHR Systems

An established healthcare network has been experiencing issues with an aging CRM-based EHR system that is not optimized or scalable. The system causes data loss, appointment overlaps, and confusion among staff due to its non-intuitive interface, leading to the reliance on paper or separate documents, increased risk of data breaches, and inefficient workflows. These issues compromise patient care and operational efficiency.

About the Client

A regional network of specialized healthcare clinics providing services across various disciplines such as surgery, gynecology, oncology, psychiatry, and traumatology, including rehabilitation centers for children with severe injuries and disabilities.

Goals for Developing a Next-Generation EHR System in Healthcare

  • Seamlessly migrate all existing patient data from legacy systems and paper records into a secure, unified electronic health record database.
  • Ensure compliance with healthcare data security standards and protocols to protect patient confidentiality and prevent data breaches.
  • Design an intuitive, user-friendly interface allowing staff to quickly adapt with minimal training (estimated 4-day training period).
  • Optimize data input processes to reduce time clinicians spend recording patient information.
  • Implement advanced security measures including encryption, access controls, and disaster recovery strategies to ensure 99.9% system uptime.
  • Incorporate speech recognition features enabling clinicians to dictate notes directly into the system to enhance efficiency.

Essential Functional Capabilities for the New EHR System

  • Complete migration of legacy paper and electronic records into the new system with data cleaning and verification processes.
  • Secure role-based access controls and HIPAA-compliant data protection measures.
  • Intuitive, visually streamlined user interface with quick navigation and search functionalities.
  • Voice/circumstance-driven data entry through speech recognition technology.
  • Rapid data retrieval, updating, and management features for clinical staff.
  • Disaster recovery and high-availability architecture to ensure system reliability.
  • APIs and interoperability modules to connect with external healthcare platforms and data sources.

Recommended Technologies and Architectural Approaches

Modern backend development with PHP 8 and Symfony framework
Containerization using Docker for scalable deployment
Real-time data synchronization with Firebase
Relational database management with MySQL
REST API for system integrations
Security protocols aligned with healthcare standards (e.g., HIPAA compliance)
Voice input processing with AVKit and speech recognition APIs

Necessary System Integrations

  • Existing healthcare information systems for data migration
  • External laboratory and imaging platforms
  • Patient communication tools (e.g., notifications, messaging services)

Key System Performance and Security Standards

  • Data confidentiality and security compliant with healthcare regulations
  • System availability of 99.9% uptime
  • Scalable infrastructure supporting increased user load and data volume
  • Responsive UI designed for quick adoption within 4 days of training
  • Fast data retrieval and input processing times

Anticipated Business Benefits and System Effectiveness

The implementation of the new EHR system aims to minimize data loss, streamline clinical workflows, and enhance data security, ultimately leading to improved patient care, operational efficiency, and staff productivity. Expected outcomes include a rapid and seamless transition with staff achieving system proficiency within days, and sustained high system uptime ensuring reliable access to patient information. It will provide a scalable platform capable of supporting future healthcare service expansion.

More from this Company

Development of an AI-Powered Audio Content Analysis and Music Annotation System
Untitled Case
Development of a Modern Transport Management System for Car Carriers and Shippers to Enhance Operational Efficiency
AI-Driven Logistics Management System for Enhanced Operational Efficiency and Compliance
Secure Community Engagement and Polling Platform Development