Ready-to-Deploy Healthcare Product Frameworks

Pre-built, production-tested frameworks that cut months off your build — deployed, configured, and compliant from day one, not assembled from zero.

Remote Patient Monitoring Care Management Middleware AI Telehealth
AT A GLANCELive
DEPLOYMENT STATUS
Framework
Selected
Configured
Production
Live
4 frameworks · production-testedSandbox-validated
Frameworks available4
Typical deployment6–10 weeks
Deployment modelWhite-labeled · configurable
OVERVIEW

Healthcare Product Frameworks, done the Emorphis Health way

Most digital health products rebuild the same core capabilities — device ingestion, care plan orchestration, interface routing, video visits — from scratch. Our frameworks give you a production-tested engine for each, so your team configures and brands instead of building and debugging from zero.

Each framework ships with a documented data model, compliance controls (HIPAA, billing code mapping where relevant), and a configuration layer for your EHR, devices, and workflows — deployable into your cloud or ours.

Health Systems Digital Health Platforms Payers & Value-Based Care Programs
FRAMEWORK · 01

Remote Patient Monitoring Framework

Continuous vitals capture from connected devices, threshold-based alerting, and care team dashboards — deployable against Bluetooth and cellular RPM devices without custom device integration work each time.

  • Device onboarding & pairing
  • Real-time vitals streaming
  • Configurable alert thresholds
  • RPM billing code support (CPT 99453–99458)
Bluetooth LEFHIR ObservationCPT 99457
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FRAMEWORK · 02

Care Management Framework

Care plan orchestration, task assignment, and risk stratification for chronic care and value-based care programs — built on configurable care pathways rather than a single hardcoded workflow.

  • Care plan templates & pathways
  • Risk stratification scoring
  • Task & task-list orchestration
  • Care team collaboration workspace
CCMTCMHCC Risk Adjustment
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FRAMEWORK · 03

Healthcare Middleware Integration Framework

A pre-built interface engine layer for HL7 v2/v3, FHIR R4, and DICOM traffic — routing, transformation, and monitoring configured through mapping rules instead of custom point-to-point code.

  • Protocol-agnostic message routing
  • Visual mapping & transformation rules
  • Retry & dead-letter handling
  • Real-time interface monitoring dashboard
HL7 v2/v3FHIR R4DICOMMLLP
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FRAMEWORK · 04

AI Cloud-Based Telehealth Framework

A cloud-native telehealth platform with AI-assisted triage, ambient documentation, and EHR-integrated video visits — deployable as a white-labeled telehealth product rather than built from scratch.

  • AI-assisted intake & triage
  • Ambient visit documentation
  • EHR-integrated scheduling & video
  • HIPAA-compliant cloud infrastructure
WebRTCLLM-Assisted NotesSMART on FHIR
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Not sure which framework fits your roadmap?

Walk through your use case with a solution architect — we'll map it to the right framework in one call.

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PRODUCTION-TESTED

Deployed in real clinical environments, not just a demo

A framework that only works in a sandbox isn't a framework — it's a prototype. Every one of ours has been deployed against live devices, live EHRs, and live clinical workflows before it's offered for reuse.

  • Validated against live device & EHR integrations
  • Edge-case handling (dropped connections, duplicates)
  • Staged rollout with rollback plan
Frameworks in active production4
Typical deployment approachConfigure, not rebuild
BUILT TO EXTEND

Configured to your workflows, not rebuilt from zero

Frameworks ship with a documented configuration and mapping layer, so your team — or ours — can extend them to new devices, payers, or care models without touching the core engine.

  • Documented configuration & mapping layer
  • API access for custom extensions
  • Versioned releases with change logs
Configuration documentationFull
Framework monitoring available24/7
DEPLOYMENT ARCHITECTURE

How a framework gets from selection to production

A reference view of how we take a framework from initial fit assessment through configuration and into a live, monitored deployment.

Framework Selection
Matched to your use case
Configuration Layer
EHR, devices, branding
Sandbox Validation
Tested against your systems
Production Go-Live
Monitored, supported
Deployment Phase What Happens Typical Duration
Fit Assessment Match your use case to the right framework and scope 1–2 weeks
Configuration Branding, EHR mapping, device & workflow setup 2–4 weeks
Sandbox Validation Testing against your EHR and device sandboxes 1–2 weeks
Go-Live Staged rollout with monitoring and rollback plan 1 week
Support Ongoing monitoring, updates, and extensions Continuous
HOW WE WORK

A deployment process built around clinical accountability

Every framework deployment follows the same disciplined path from fit assessment to ongoing support — adapted, not reinvented, for each client.

01

Fit Assessment

Match your use case to the right framework and scope.

02

Configuration & Branding

Apply your brand, workflows, and business rules.

03

Data & EHR Mapping

Connect the framework to your EHR and device vendors.

04

Sandbox Validation

Test against your systems before anything goes live.

05

Go-Live

Staged rollout with rollback plan and live monitoring.

06

Support

Monitoring, updates, and ongoing extensions.

STANDARDS & STACK

Technology and compliance frameworks we build on

Standards & Protocols
HL7 v2/v3FHIR R4SMART on FHIRCPT / HCPCS
Cloud & Compliance
AWSAzureGCPHIPAASOC 2
FAQ

Common questions about our Healthcare Product Frameworks

Are these frameworks white-labeled or off the shelf?+
White-labeled. Each framework ships as a configurable codebase you can brand, extend, and deploy under your own product — not a locked SaaS product with your logo on top.
Can a framework be customized to our EHR and workflows?+
Yes. Every framework includes a configuration and mapping layer for your EHR, device vendors, and care workflows, so the underlying engine stays production-tested while the surface is tailored to you.
How long does deployment typically take?+
Most frameworks reach a configured, sandbox-validated state in 6 to 10 weeks — significantly faster than a ground-up build, since the core engine, data model, and compliance controls already exist.
Do the frameworks include billing code support?+
The Remote Patient Monitoring and Care Management frameworks include CPT and HCPCS code mapping (including RPM and CCM billing codes) as part of their data model, configurable to your reimbursement model.
Is hosting included, or do we bring our own cloud?+
Both options are supported. We can deploy into your existing AWS, Azure, or GCP environment under a BAA, or host it within our HIPAA-compliant infrastructure — your choice depending on your compliance and ownership requirements.
Can we combine multiple frameworks, like RPM and Care Management?+
Yes. The frameworks share a common data model and middleware layer, so combining Remote Patient Monitoring with Care Management, for example, doesn't require duplicating patient records or building a separate integration between them.
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Related services

Ready to deploy a framework instead of building from scratch?

Book a discovery call with our healthcare engineering team — we'll map your use case to the right framework and a realistic deployment timeline.

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