The Next-Gen EHR for Multiple Clinics

The Next-Gen EHR for Multiple Clinics
Customer infomation

US customer

Our client is a US-based healthcare organization that owns and operates a network of clinics. They are dedicated to providing accessible, high-quality medical care to diverse communities across their service areas.

Requirement

1. Requirement

1.1. Purpose

To design and build a unified, multi-tenant Electronic Health Record (EHR) platform to manage the client's entire network of clinics. The solution required each clinic to operate as a fully isolated, secure tenant on a cloud-native AWS infrastructure. Key objectives included ensuring full HIPAA compliance, managing all patient records under the FHIR standard, and enabling seamless, complex integrations with third-party healthcare services.

1.2. Detail Requirement

The primary goal was to provide a single, unified system that streamlines management across all locations while ensuring each clinic's data and features remain completely separate and secure. This architecture, developed using serverless and microservices methodologies on AWS, allows for both centralized oversight and independent clinic operation, ensuring scalability and resilience.

Functional Requirements

  • Management of clinic, provider, and patient profiles.
  • A centralized, FHIR-standard Electronic Health Record (EHR) system.
  • End-to-end healthcare service lifecycle support.
  • Dynamic clinical note templates. 

Technical & Integration Requirements

  • Automated tenant provisioning with Infrastructure as Code (IaC).
  • API/SOAP integration with third-party providers (DrFirst, Kareo, etc.). 
  • A centralized management system for medical terminologies like ICD-10, CPT, and SNOMED CT. 

Compliance Requirements

  • Full adherence to all HIPAA standards for data privacy and security.

2. Customer Problems

Our client faced critical operational challenges that hindered their growth and compromised care:

  • Data Fragmentation: Siloed data across disconnected clinics led to inconsistent patient records, hindered provider access to complete medical histories, and compromised patient safety.
  • Compliance & Security Vulnerabilities: Managing numerous disparate systems created significant security risks, making the enforcement and auditing of HIPAA compliance an overly complex and expensive burden.
  • Inefficient Scaling: The lack of a unified platform prevented a clear view of operations and made expanding with new locations a slow, manual, and cost-prohibitive process.
Tech Stack

1. Programming Language

  • Javascript
  • Python
  • Java
  • Go

2. Framework

  • Nodejs
  • Spring
  • Panda and Numpy

3. Third Party

  • DrFirst (e-Prescribing)
  • Kareo (Healthcare Billing Service)
  • Lab Order (Lab Integration)

4. Database

  • MySQL (Version 8)
  • Elastic search (Version 8.10.4)
  • Prometheus
  • Redis
Success factor

1. Challenge

The healthcare sector presents significant technological challenges, particularly in the U.S. market with its strict regulatory landscape. Our client engaged us to consult on and implement a system with two non-negotiable requirements:

  • HIPAA Compliance: The system must be fully HIPAA-compliant by design, not as an afterthought.
  • Secure Multi-Tenant Architecture: Each tenant's infrastructure and data must be completely isolated. The platform must also support customizable feature subscriptions for each tenant and allow for seamless, on-demand deployment of new features and software updates.

2. How to resolve these challenges

To address these challenges, we engineered a solution founded on three core principles: security by design, a modern architecture, and an agile partnership.

1. Security is in Our DNA We embrace a “security-by-design” philosophy. Our dedicated security experts were co-creators, embedded in the development team from day one. Every decision, from feature design to infrastructure choice, was rigorously assessed through a security lens. Periodic reviews against HIPAA standards weren't a final check—they were a continuous part of our rhythm.

2. An Architecture of Precision and Power To guarantee absolute data integrity and separation, we architected the platform using a state-of-the-art microservices and serverless approach on AWS. We decomposed the system into 25+ specialized sub-modules to ensure scalability and resilience. This architecture was the key to solving several core challenges simultaneously:

  • True Tenant Isolation: It allows each clinic to operate as a secure, independent unit.
  • Unified Clinical Workflows: Specialized modules were built to handle robust API/SOAP integrations with critical third parties like DrFirst and Kareo, creating a single, streamlined workflow for providers. 
  • Intelligent Data Management: We developed a dedicated microservice to manage, centralize, and automatically update complex medical terminologies (like ICD-10 and CPT), ensuring data accuracy across the platform. 
  • Dynamic Feature Delivery: The architecture supports on-demand feature activation, such as the dynamic clinical note and telehealth modules. 

3. Your Vision, Delivered with Agility We believe great products are built in partnership. Through rapid and responsive release cycles, we put working software in the client's hands quickly, creating a tight feedback loop. This agile methodology empowered us to actively anticipate and fulfill change requests, ensuring the platform not only met their requirements today but evolved with them for tomorrow.

 

Delivering Results: 
We are proud to announce the platform is currently operational with proven, measurable success:

  • Successfully Deployed: Live and operational across 4 U.S. clinics.
  • Daily Impact: Reliably supporting the care of nearly 300 patients every day.
  • Proven Scalability: Based on the platform's robust performance and stability, our client is already mapping out its expansion to a wider network of clinics, with BeevR as their trusted long-term technology partner.
Deliverables
  • System Deployment
  • Source code
  • API Documentation
  • Database Diagrams and Data Dictionary
  • System migration and data conversion
  • Test Cases and Test Report Documents
  • Training Materials (End User and System Admin)
  • Screenshots

    1. Patient health record

    1. Patient health record

    2. Update Patient information

    2. Update Patient information

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