Overview
ConnectHealth: AI First Healthcare Interoperability Platform (formerly EHRConnect)
connecthealth.ai is a secure AI first healthcare interoperability platform and EHR integration engine designed to accelerate connectivity across diverse healthcare ecosystems. It simplifies EHR integration with systems including Epic Cerner Athena Allscripts and custom EMRs, as well as wearables, MedTech devices, medical IoT, laboratories, payers, and claims systems without requiring custom code.
The platform deploys as a containerized solution entirely within the customers AWS environment ensuring data sovereignty. Protected health information (PHI) remains isolated within the customer's virtual private cloud (VPC) supporting HIPAA compliance with no external data sharing.
AI First and Agentic Capabilities
ConnectHealth includes built in Agentic AI features that support:
Automated routing transformation enrichment and anomaly detection for Interface Engine workflows AI assisted data mapping and validation for HL7 v2, FHIR, C-CDA, and X12 Deduplication and normalization across clinical, MedTech, and device datasets Automated remediation workflows for failed messages and real time alerts Real time streaming and webhook based integrations Connect Anything in Healthcare
ConnectHealth supports integration across a wide wide range of healthcare data sources, including:
EHRs and EMRs such as Epic Cerner Athena Allscripts and legacy hospital systems Wearables, RPM hubs, and MedTech sensors (Digital Health IoT) Laboratories (LIS), radiology (RIS/PACS), pharmacies, and Health Information Exchanges (HIE) Payers and third party administrators (TPA) using X12 and API based integrations Core Capabilities
Visual No-Code workflow builder with more than 150 healthcare specific components Unified Authentication that handles OAuth and SMART on FHIR flows for major EHRs Built in transformations for FHIR, HL7 v2, C-CDA, X12, and DICOM Real time dashboards, alerts retries and webhook triggers Rapid deployment via AWS CloudFormation templates (Infrastructure as Code) Why Teams Choose connecthealth.ai
Runs fully inside the customers AWS VPC for maximum security Reduces integration effort compared to traditional legacy interface engines Enables teams to configure workflows without deep HL7 or integration expertise Scales efficiently from small Digital Health pilots to enterprise level data volumes Security and Compliance
Deployed entirely within the customers AWS VPC (Single Tenant) HIPAA aligned architecture with encryption in transit and at rest Comprehensive audit logging of PHI access and data lineage Role based access control (RBAC) and least privilege design Data sovereignty where health data never leaves the customers control Pricing and Deployment
Plans are tiered based on the number of active integration connections ranging from Starter to Enterprise. All plans include access to all workflow components and standard support. Deployment is automated via AWS CloudFormation allowing customers to launch the solution in minutes.
Highlights
- Visual Zero-Code Healthcare Integration Platform ConnectHealth offers a visual interoperability platform with pre-built connectors for systems such as Epic, Cerner, and Athenahealth. Teams build workflows using a drag-and-drop interface with over 150 healthcare-specific components. The platform operates entirely within the customer's AWS account and supports HIPAA-ready architectures, eliminating the need for custom code or external data sharing.
- Secure AWS Native Deployment: ConnectHealth deploys fully within the customer's AWS environment via CloudFormation. It is designed for HIPAA-aligned deployment, including encryption in transit and at rest, audit logging, and role-based access controls. This architecture enables organizations to meet security and compliance requirements while retaining full ownership and sovereignty of their data.
- Reduce Integration Effort and Complexity: ConnectHealth reduces integration effort compared to traditional custom development. Pre-built healthcare workflow components and reusable templates accelerate implementation for common use cases, such as appointments, patient records, and clinical data exchange. Visual debugging and monitoring simplify troubleshooting, allowing a single platform to replace multiple point-to-point integrations.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
One-Time Setup Fee | Required one-time fee for platform provisioning, AWS infrastructure deployment, and initial configuration. Purchase once before activating any monthly subscription tier. Available through private offer only. | $25,000.00 |
ConnectHealth - Up to 3 Active Integrations | Connect Up to 3 healthcare organizations (hospitals, clinics, or health systems) with your application. Full platform access with workflow engine, SMART on FHIR, HL7v2, and HIPAA-compliant infrastructure. | $6,000.00 |
ConnectHealth - 1 Active Integration | Connect 1 healthcare organization (hospital, clinic, or health system) with your application. Full platform access with workflow engine, SMART on FHIR, HL7v2, and HIPAA-compliant infrastructure. | $2,000.00 |
ConnectHealth - Up to 5 Active Integrations | Connect Up to 5 healthcare organizations (hospitals, clinics, or health systems) with your application. Full platform access with workflow engine, SMART on FHIR, HL7v2, and HIPAA-compliant infrastructure. | $8,000.00 |
ConnectHealth - Up to 10 Active Integrations | Connect Up to 10 healthcare organizations (hospitals, clinics, or health systems) with your application. Full platform access with workflow engine, SMART on FHIR, HL7v2, and HIPAA-compliant infrastructure. | $12,000.00 |
ConnectHealth - Up to 100 Active Integrations | Connect Up to 100 healthcare organizations (hospitals, clinics, or health systems) with your application. Full platform access with workflow engine, SMART on FHIR, HL7v2, and HIPAA-compliant infrastructure. | $90,000.00 |
Vendor refund policy
No refunds, except where required by law.
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Delivery details
ConnectHealth: Agentic AI & EHR Integration Platform
- Amazon ECS
- Amazon ECS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
ConnectHealth v0.3.61 - The Agentic Intelligence Update We are proud to announce ConnectHealth v3.6.1 (formerly EHRConnect), a transformative update that introduces Helix, our AI Workflow Agent, alongside expanded EHR support and enterprise-grade observability. This release fundamentally changes how integration engineers build data pipelines, moving from manual configuration to intelligent, conversational workflow creation. Headline Feature: Helix AI Workflow Agent ConnectHealth v3.6.1 introduces Helix, an enterprise-grade AI agent that revolutionizes healthcare workflow creation through natural language processing. Describe your integration needs in plain English, and Helix generates production-ready workflows in minutes instead of hours. Key Capabilities: Conversational workflow creation with healthcare domain expertise in FHIR R4 and HL7 v2 Structured Plan-Approve-Execute cycle ensuring safety and transparency Context-aware node selection and intelligent workflow validation Real-time progress updates and pre-deployment conflict detection Built on LangGraph with AWS Bedrock integration for enterprise reliability Business Impact: Traditional workflow creation takes hours of expert configuration. Helix reduces this to minutes while maintaining HIPAA compliance, delivering 60-70% reduction in integration development costs. eClinicalWorks (ECW) Integration Secure OAuth2 authentication and token management Bulk FHIR export with asynchronous processing Standalone mode for direct ECW connections Complete FHIR R4 API implementation Enterprise Observability and Audit Logging Complete infrastructure modernization delivers the compliance and debugging capabilities healthcare organizations require. CloudWatch Insights Integration: Unified log groups with 10x faster query performance Structured JSON logging with consistent schema across all services 40% reduction in log storage and query costs Comprehensive Audit Trail: End-to-end correlation ID tracking across microservices and workflows API key attribution for every system action Complete workflow execution lifecycle visibility HIPAA-compliant audit trail for all PHI access Benefits: Trace distributed system issues in seconds, identify suspicious API usage patterns, and meet regulatory audit requirements with complete event tracking. Multi-Provider AI Model Support Building on our Agentic AI foundation, ConnectHealth now supports multiple AI providers, giving you flexibility to choose the best model for your clinical use case: AWS Bedrock: Anthropic Claude (Sonnet 4.5, Opus 4.5), Amazon Nova, Meta Llama Google Vertex AI: Gemini 1.5 Pro and Flash models OpenRouter: GPT-4o, Mistral, DeepSeek, and more Enhanced Agentic AI Capabilities Core AI Nodes: AI Agent Node: Central orchestration for reasoning, tool selection, and natural language processing AI Tool Adapter: Convert any subflow into an executable tool the agent can call on demand Contextual Memory: Stateful conversation management for complex multi-turn clinical reasoning Built-in Guardrails: PII redaction and content filtering ensuring HIPAA compliance Real-World Applications: Intelligent message routing based on clinical content analysis Automated error remediation with validation failure detection and correction Clinical summarization for longitudinal patient care coordination Dynamic decision support with real-time data analysis Critical Fixes and Stability Improvements Multi-Container Environment (v3.6.1): Resolved token synchronization issues with EFS-based token persistence Fixed Node-RED custom nodes for reliable flow context determination Improved error handling across Stedi and authentication services Resource Management: Automatic SQS queue cleanup eliminates resource leaks Standardized message handling across all FHIR nodes Enhanced sample flows for common integration patterns Performance Metrics Workflow creation time reduced by 90 percent Log query performance improved by 10x Storage costs reduced by 40 percent API response times maintained at sub-200ms p95 latency SQS resource leaks eliminated completely Security and Compliance Complete HIPAA audit logging with event tracking for all PHI access. End-to-end correlation tracking across the entire system. API key attribution for every action. Secure OAuth token management for all EHR systems. Built-in PII redaction for AI-generated content. Migration Guide From v3.5 to v3.6.1: Fully backward compatible with no breaking changes AWS Bedrock credentials required for Helix features EFS volume mount required for multi-container token storage Existing API keys and workflows continue to work without modification What This Means For You Healthcare Organizations: 80 percent faster integrations, expanded connectivity to 850,000+ ECW physicians, complete regulatory audit trails, and 60-70 percent reduction in integration costs. Integration Engineers: AI-powered workflow development, faster troubleshooting with correlation IDs, modern technology stack, and pre-built sample flows. DevOps Teams: Unified observability dashboard, automated resource management, deployment safety validation, and advanced analytics capabilities. ConnectHealth v3.6.1 represents a fundamental shift in healthcare integration, where artificial intelligence meets clinical expertise to deliver faster, smarter, and more reliable interoperability solutions. Update your container images today to access these powerful new capabilities.
Additional details
Usage instructions
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SUBSCRIBE Subscribe to ConnectHealth from AWS Marketplace and review the terms.
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DEPLOY Launch the CloudFormation stack using the Quick Launch option. Stack creation typically takes 15 to 20 minutes to provision all ECS and networking resources.
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ACCESS APPLICATION After deployment open the AWS CloudFormation console: Select your new stack and go to the Outputs tab. Note the following values: ServiceUrlHttps : This is your application URL DefaultUsername : Your initial admin username DefaultPassword : Your initial admin password
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LOG IN Open the ServiceUrlHttps link in your web browser. Log in with the DefaultUsername and DefaultPassword. IMPORTANT: You must change the default password immediately from the Admin Portal details page.
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CONFIGURE INTEGRATIONS In the Admin Portal go to Settings then Integrations. Select Add New Integration. Choose your EHR system (Epic, Cerner, Athena or Sandbox). Enter the Client ID and Client Secret provided by your EHR vendor. Select Sandbox or Production environment. Test and save the connection.
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CREATE WORKFLOWS Navigate to the Workflows section. Click Create New Workflow and enter a name. Select the integration you configured. Choose a trigger: schedule, webhook or manual. Use the drag and drop builder to add logic and healthcare components. Save and deploy the workflow.
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TEST WORKFLOWS Run in test mode to validate workflow behavior. Check logs in CloudWatch to confirm successful execution. Enable production mode once validated.
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MONITORING CloudWatch Logs: Check /ecs/ehrconnect-TaskLogs for container logs. Health Check Endpoint: https://[your-domain]/api/healthCheck SNS Alerts: Subscribe your email to the SNSTopicArn found in CloudFormation Outputs to receive notifications for errors and system events.
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TROUBLESHOOTING If you cannot access the application verify the stack status shows CREATE_COMPLETE in CloudFormation and check security group rules allow port 443. If an integration fails confirm your Client ID and Secret are correct and verify EHR vendor network access. If a workflow does not execute confirm it is active and the integration is healthy.
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NEXT STEPS Change the default admin password. Configure at least one Health System integration. Create and test a workflow with sandbox data. Subscribe to SNS alerts for ongoing monitoring. Review CloudWatch logs to understand system behavior.
SUPPORT For deployment issues review the CloudFormation Events tab. For runtime issues review CloudWatch logs and metrics. For product help contact support through the AWS Marketplace support link.
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Has reduced integration time significantly and allows faster onboarding through visual workflows and pre-built templates
What is our primary use case?
I am using EHRConnect to integrate our healthcare application with multiple EHR systems.
How has it helped my organization?
EHRConnect cut our EHR integration development time from six months to two weeks per hospital. Our small development team can now handle multiple hospital integrations simultaneously using the pre-built workflow templates. This accelerated our go-to-market significantly.
What is most valuable?
The most valuable features include the visual workflow builder, which allows non-developers to understand and modify integrations. The agentic workflow library provides pre-built templates for common scenarios such as patient data synchronization, which saved weeks of development. Smart on FHIR and HL7 support enables compatibility with both modern and legacy EHR systems.
What needs improvement?
There could be more documentation for advanced customization scenarios. Additional pre-built workflows for specialty-specific use cases such as cardiology and oncology would be helpful. Better real-time debugging tools for troubleshooting live integrations would be beneficial. In the next release, features like a built-in HL7 message simulator for testing, more granular audit logging, and workflow version control with rollback capability are expected.
Which solution did I use previously and why did I switch?
We evaluated building custom integrations in-house. We switched because maintaining separate codebases for Epic, Cerner, and athenahealth was unsustainable. EHRConnect's unified platform reduced our technical debt.
What's my experience with pricing, setup cost, and licensing?
It is important to factor in the setup fee upfront. The monthly tier pricing is fair. We are on the $8,000/month tier, which allows up to five integrations and is still 60% cheaper than maintaining custom integrations with dedicated engineers. I calculate ROI based on developer time saved.
Which other solutions did I evaluate?
We evaluated building custom integrations in-house. EHRConnect's unified platform reduced our technical debt. We also looked at Redox and Mirth Connect. We chose EHRConnect for its better AWS integration, as we are already on AWS , a more modern visual workflow builder, and ready-made templates instead of starting from scratch.
What other advice do I have?
EHRConnect is great for healthtech startups or hospitals needing multi-EHR connectivity. The support team is responsive. Setup took two weeks, including AWS infrastructure provisioning. I recommend starting with one to two hospital pilots before scaling up.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Has streamlined Epic integrations and accelerated patient data exchange
What is our primary use case?
I use EHRConnect to integrate our healthtech platform with Epic using the SMART on FHIR framework. It handles secure authentication, patient data exchange, and clinical workflow automation.
How has it helped my organization?
EHRConnect helped us connect with Epic faster and with less engineering effort. What used to take weeks for setup and testing now takes just a few days. It has made our Epic integrations smoother and more reliable.
What is most valuable?
The built-in SMART on FHIR and OAuth support for Epic, ready-to-use FHIR APIs for patient, observation, and encounter data, and the easy-to-deploy sandbox environment for quick validation are highly valuable. The complex HL7v2 transformers built in have also simplified interoperability for our healthtech applications.
What needs improvement?
A visual dashboard for API monitoring and better error handling during data syncs would make it even more developer-friendly.
For how long have I used the solution?
I have used the solution for 6 months.
Which solution did I use previously and why did I switch?
We previously used custom Epic FHIR integrations but moved to EHRConnect for its ready architecture, scalability, and faster go-live process.
What's my experience with pricing, setup cost, and licensing?
The setup cost was fair considering the time saved on Epic certification and integration maintenance. It is ideal for healthtech companies building Epic-connected apps. Other competitors were five times more expensive and also charged a huge amount for custom implementation.
Which other solutions did I evaluate?
We considered Redox but found EHRConnect simpler, more cost-effective, more flexible, and better suited for our cloud-native setup.
What other advice do I have?
EHRConnect has been a great enabler for our interoperability needs with Epic. It has helped our product team focus more on care workflows rather than complex integrations.