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    ConnectHealth: AI EHR Integration Platform (FHIR & HL7)

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    Deployed on AWS
    ConnectHealth is an AI-first EHR integration platform and interface engine for EMR data exchange. Securely connect Epic, Cerner, wearables, and MedTech IoT using Agentic AI, FHIR, and HL7 in your own AWS VPC.
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    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

    Delivery method

    Supported services

    Delivery option
    EHRConnect - Secure No-Code EHR Integration (Container Image)
    ConnectHealth: Agentic AI & EHR Integration Platform

    Latest version

    Operating system
    Linux

    Deployed on AWS
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    Pricing

    ConnectHealth: AI EHR Integration Platform (FHIR & HL7)

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (6)

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    Dimension
    Description
    Cost/month
    Platform Fee
    Covers provisioning your dedicated ConnectHealth environment within your AWS account, deploying the secure infrastructure, and completing the initial integration configuration. This annual fee is required before activating any monthly subscription tier and is available through an AWS Marketplace private offer.
    $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

    AI Insights

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    Dimensions summary

    Pricing has two parts. First, you pay an annual Platform Fee to set up your dedicated ConnectHealth environment inside your AWS account. This one-time yearly fee comes through an AWS Marketplace private offer and is required before any subscription starts. Second, you choose a subscription tier based on how many healthcare organizations you connect: 1 integration, up to 3, up to 5, up to 10, or up to 100. Each tier includes the same platform access, workflow engine, SMART on FHIR, HL7v2, and HIPAA-compliant infrastructure. Pricing scales with the number of active integrations you need.

    Top-of-mind questions for buyers

    One active integration is a single connected healthcare organization, such as a hospital, clinic, or health system, linked to your application. Each connected organization counts as one integration toward your tier limit, regardless of how many workflows or data types you run for that organization.
    Each tier caps the number of active integrations you can run, from 1 up to 100. To connect more organizations than your current tier permits, you move to a tier with a higher limit. Your subscription price reflects the tier you select, not per-organization overage charges.
    Yes. You pay the annual Platform Fee once per year to provision your environment and complete initial setup. You then pay a monthly subscription for your chosen integration tier. Both charges apply; the Platform Fee must be active before any subscription tier starts.
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    Vendor refund policy

    No refunds, except where required by law.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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    Delivery details

    EHRConnect - Secure No-Code EHR Integration (Container Image)

    Supported services: Learn more 
    • 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 v0.3.73 Release Notes

    HIGHLIGHTS

    Universal Data Mapping -- Any Format to Any Format

    ConnectHealth now includes a complete data mapping capability, available from the new Mappings section of the dashboard. You can transform healthcare data between HL7 v2, X12 EDI, and JSON/FHIR in any direction, without writing integration code.

    • Any source to any target -- HL7 v2, X12 EDI, and JSON/FHIR are supported as both input and output, so a single mapping can turn an HL7 admission message into FHIR, a claim into X12, or JSON back into HL7
    • Visual mapping editor -- see your source message and your target structure side by side, drag a line between two fields to map them, and watch the transformed output update live as you work
    • Automatic mapping suggestions -- ConnectHealth proposes field matches for you based on curated dictionaries for each format pair, and can attach transformations such as date reformatting or code translation to a suggestion; accept the ones you want and dismiss the rest
    • Three ways to work, always in sync -- a visual tree, a spreadsheet-style table, and a template editor are three views of the same mapping, and an edit in one is reflected immediately in the others
    • Repeating data handled properly -- repeating segments, arrays, and X12 loops are mapped once and applied to every occurrence, including nested structures
    • Conditional mapping -- map a field only when a condition is met, using presence checks, value comparisons, and numeric operators
    • Live preview and safety checks -- ConnectHealth warns you before saving if the preview is currently failing or if a mapping row is incomplete, and highlights the exact row that needs attention

    Mapping in the Workflow Builder

    • A new Mapping node brings your saved mappings into any workflow -- feed it a raw message and it identifies the message type, selects the right mapping, and produces the transformed output in a single step
    • No per-node format configuration is required; the node detects the format automatically, or you can pin it to a specific template
    • Works directly with inbound HL7 messages from the HL7 In node

    Starter Samples and Template Catalog

    Getting started no longer requires you to supply your own data.

    • A validated library of starter sample messages covering common clinical and payer message types -- admissions, results, orders, prescriptions, referrals, scheduling, immunizations, documents, and charges
    • An expanded X12 transaction catalog, now covering ten transaction sets including claim status, prior authorization, premium payment, enrollment, acknowledgements, and both institutional and dental claims
    • Load an example with one click in the editor, tailored to the message type you are working with

    Large and Complex Files

    • Batch file support -- a file containing many messages is split, routed, and rendered message by message, with a clear failure if any single message is malformed rather than silently producing corrupted output
    • Multi-transaction X12 files and batch-header HL7 files are both accepted
    • Character-set handling -- messages that are not UTF-8 encoded are decoded correctly, preventing loss or corruption of patient data in international and legacy feeds

    NEW EHR INTEGRATIONS

    Open Dental

    ConnectHealth now supports Open Dental, one of the most widely used practice management systems in dentistry.

    • Full integration wired into the ConnectHealth workflow engine
    • Bring-your-own-key authentication using your existing Open Dental API credentials -- no certificate or key generation required
    • Configure a new Open Dental connection through the ConnectHealth dashboard in minutes

    UNIFIED LOGS

    Application and Audit Logs are now in one place.

    • Both log types live under a single Logs section with tab navigation, so you no longer switch between screens to trace an issue
    • Application Logs gain date-range filtering, search, and paging through large result sets
    • The audit trail continues to record every access and change separately, with its own long-term retention

    SECURITY IMPROVEMENTS

    • No shared default administrator password -- deployments no longer ship with a built-in default admin credential. You supply the initial administrator password at deployment time, and it is delivered to you through AWS Secrets Manager. See the Migration Notes below for the action required on upgrade.
    • Sealed EHR launch credentials -- when a clinician launches ConnectHealth from inside an EHR, the credentials for that session are now sealed with authenticated encryption and exchanged for a short-lived ConnectHealth session token. Embedded launches no longer require an API key to call your workflows.
    • Protected error output -- all messages returned by the mapping engine pass through a single sanitizing boundary, so message content and patient data never appear in error responses or previews shown after a failure
    • Ongoing penetration testing -- the automated security scanning pipeline was expanded with broader vulnerability coverage and reporting

    CONNECTION IMPROVEMENTS

    • Embedded launch reliability -- newly created embedded connections now use the correct callback address, resolving a failure when launching from within an EHR; ConnectHealth also tracks which connection in a family is the primary one, keeping embedded launches linked correctly when connections are added, updated, or removed
    • Business-to-business keys are editable -- private and public keys on a B2B connection can be changed after the connection is created, and a generated key set now contains the complete key material
    • Duplicate connection names are caught as you type, with a clear on-screen message instead of a failure on save
    • Credential fields in Settings are protected from browser autofill, so saved browser passwords no longer overwrite keys you are editing

    BUG FIXES AND REFINEMENTS

    • Mapping editor -- hovering a source field now highlights every target it feeds, dismissed suggestions stay dismissed when you re-run automatic mapping, and a range of layout, spacing, and readability refinements were applied across the editor
    • Mapping output -- HL7 and X12 output no longer carries a stray leading blank line, special characters in source values are escaped correctly, and validation no longer flags valid HL7 and X12 field references as errors
    • API keys -- creating a key with a name that already exists now shows a clear conflict message, and the key list stays on screen instead of showing a loading error
    • Connections -- the Publish button now enables correctly when scopes are selected from the Available Scopes list
    • Workflows -- deleting a workflow uses an in-app confirmation dialog, the description is edited from the settings dialog rather than a separate popup, and importing with overwrite preserves the existing workflow identifiers
    • Audit Logs -- search now returns the results you expect, table alignment holds when filtering by System in the Who column, and expanded rows reset correctly when paging
    • Audit Logs -- workflow imports are recorded with their workflow identifier, and key-service failures are correctly recorded as failures rather than successes
    • Session expiry -- a connection you were part-way through creating is recovered after your session expires and you sign back in
    • Settings -- moved into the profile menu behind a gear icon, with dark-mode and tooltip improvements
    • License activation -- a clearer first-time activation message with step-by-step guidance and a direct link to the AWS console
    • Long error messages on the connection test screen are now clamped instead of overflowing the page

    MIGRATION NOTES

    • Administrator password -- action required. This release removes the shared default administrator password. When you deploy or upgrade, provide the administrator password parameter in the CloudFormation stack; the resulting credential is available from the stack's AWS Secrets Manager output. If your existing deployment still uses the previous default credential, rotate it after upgrading.
    • Embedded and EHR launches -- the launch session token is derived from your deployment's configured application secret. Keep that secret set and unchanged across instances; changing it will invalidate any launch sessions that are already in progress.
    • Standalone X12 Mapper node removed -- the separate X12 mapper node has been replaced by the unified Mapping node, which handles X12 along with HL7 and JSON. Any workflow that used the old node should be updated to use the Mapping node and a saved mapping.
    • Mappings are new -- after upgrading, the Mappings section will be empty until you create your first mapping project. Starter samples and templates are available from within the editor, so no data of your own is needed to try it.
    • Logs -- Application and Audit Logs are now served from a single Logs screen; update any bookmarks pointing at the previous separate audit log address.
    • Custom mapping templates -- if you have authored your own templates that relied on X12-specific formatting behaviour applying globally, those helpers are now scoped to X12 and must be referenced explicitly.
    • No database migration is required for this release. All other changes are backward-compatible; existing connections and workflows continue to run unchanged.

    Additional details

    Usage instructions

    1.SUBSCRIBE Subscribe to EHRConnect from AWS Marketplace and accept the terms.

    2.DEPLOY Launch the CloudFormation stack using Quick Launch. Stack creation typically takes 15 to 20 minutes.

    3.ACCESS APPLICATION

    • After deployment, open the AWS CloudFormation console.
    • Select your stack and go to the Outputs tab.
    • Note the following values: -- ServiceUrlHttps - application URL -- DefaultUsername - admin username -- DefaultPassword - admin password

    4.LOG IN

    • Open ServiceUrlHttps in your web browser.
    • Log in with DefaultUsername and DefaultPassword. -Immediately change the default password from the Admin Portal.

    5.CONFIGURE INTEGRATIONS

    • In the Admin Portal, go to Settings > Integrations.
    • Select Add New Integration.
    • Choose your EHR system (Epic, Cerner, Athena, or Sandbox).
    • Enter Client ID and Client Secret from your EHR vendor.
    • Select Sandbox or Production environment.
    • Test and save the connection.

    6.CREATE WORKFLOWS

    • Go to the Workflows section in the Admin Portal.
    • Click Create New Workflow.
    • Enter workflow name and description.
    • Select the integration you configured.
    • Choose a trigger: schedule, webhook, or manual.
    • Add logic and actions as needed.
    • Save and deploy the workflow.

    7.TEST WORKFLOWS

    • Run in test mode to validate workflow behavior.
    • Check logs in CloudWatch for errors.
    • Enable production mode once validated.

    8.MONITORING

    • CloudWatch Logs: /ecs/ehrconnect-TaskLogs
    • Health Check Endpoint: https:///api/healthCheck
    • SNS Alerts: subscribe your email to the SNSTopicArn from Outputs to receive notifications for errors, performance, and security events.

    9.TROUBLESHOOTING

    • If you cannot access the application, verify stack status in CloudFormation, confirm SSL certificate validity, and check security group rules for port 443.
    • If an integration fails, confirm Client ID and Secret, check EHR vendor network access, and review CloudWatch logs.
    • If a workflow does not execute, confirm it is active, integration is healthy, and OAuth tokens are valid.
    1. NEXT STEPS
    • Change the default admin password.
    • Configure at least one EHR integration.
    • Create and test a workflow with sandbox data.
    • Subscribe to SNS alerts for monitoring.
    • Review CloudWatch logs to understand system behavior.

    SUPPORT

    • For deployment issues, review CloudFormation Events tab.
    • For runtime issues, review CloudWatch logs and metrics.
    • For product help, contact support through AWS Marketplace.

    Resources

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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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    Ratings and reviews

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    2 AWS reviews
    reviewer2767398

    Has reduced integration time significantly and allows faster onboarding through visual workflows and pre-built templates

    Reviewed on Oct 17, 2025
    Review from a verified AWS customer

    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?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    reviewer2765211

    Has streamlined Epic integrations and accelerated patient data exchange

    Reviewed on Oct 15, 2025
    Review from a verified AWS customer

    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.

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