Awell

Healthcare platform that enables non-technical teams to design, automate, and optimize clinical workflows efficiently through a user-friendly interface.

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Technologies Used

React
Next.js
TypeScript
TailwindCSS
Node.js
GraphQL
Python
FastAPI
PostgreSQL
Redis
AWS
Docker
Kubernetes
FHIR (HL7 Standards)
HIPAA-Compliant Security Frameworks

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Introduction

Awell is a modern healthcare workflow automation platform that empowers non-technical teams to design, automate, and optimize clinical pathways without writing code. Through a drag-and-drop interface and robust integrations with healthcare systems, Awell streamlines care coordination, reduces administrative overhead, and ensures patients receive timely, consistent treatment.

By embracing interoperability standards such as FHIR (HL7) and focusing on HIPAA-compliant data security, Awell bridges the gap between complex healthcare infrastructure and the needs of clinicians and care teams.

Key Features

  • No-Code Workflow Designer: Drag-and-drop interface for building clinical workflows, from intake to follow-up, without technical expertise.
  • Automation Engine: Automates repetitive administrative tasks (e.g., patient reminders, eligibility checks, approvals), reducing manual workload.
  • Integration with Healthcare Systems: Native support for FHIR/HL7 APIs, EHR/EMR systems, and third-party healthcare applications.
  • Analytics & Optimization: Provides insights into workflow efficiency, bottlenecks, and patient outcomes with actionable recommendations for improvement.
  • Compliance & Security: HIPAA-compliant infrastructure with role-based access control, audit logging, and end-to-end data encryption.

Technical Insights

  • Frontend: Developed with React, Next.js, and TypeScript, offering a responsive and accessible UI. TailwindCSS ensures a consistent and modern design system optimized for healthcare teams.
  • Backend & APIs: Core services built with Node.js and exposed via GraphQL APIs, with Python (Django/FastAPI) powering clinical logic and integration services.
  • Database & Persistence: PostgreSQL stores workflow definitions and patient metadata, while Redis supports caching and real-time task execution.
  • Workflow Engine: A microservices-based automation engine orchestrates tasks, notifications, and decision trees in real time.
  • Interoperability: Supports FHIR (HL7) standards, enabling smooth integration with EHR/EMR systems and external healthcare data sources.
  • Infrastructure & Deployment: Deployed on AWS, leveraging Dockerized services orchestrated via Kubernetes for scalability and resilience.

Challenges and Solutions

  • Healthcare Data Interoperability: Integrating with diverse EHR/EMR systems posed compatibility challenges. Awell solved this by adopting FHIR (HL7) standards and building flexible adapters for legacy systems.
  • Regulatory Compliance: Healthcare data requires strict handling. We implemented HIPAA-compliant security measures, including encryption, access logging, and role-based permissions.
  • Complex Workflow Logic: Non-technical users needed to design sophisticated clinical pathways. A visual workflow editor with decision branching and pre-built templates simplified this process.
  • Scalability Across Institutions: Large healthcare organizations required performance at scale. Kubernetes-based orchestration and auto-scaling on AWS ensured consistent reliability during peak loads.
  • User Adoption: Clinicians are often burdened with new tools. Awell addressed this with intuitive UI patterns, contextual guidance, and workflow templates, ensuring a shallow learning curve.