How to Add AI Follow-Up to ModMed, Nextech or EZDERM Without Replacing Your EHR

A dermatology practice can often add an AI follow-up layer without replacing its EHR by using approved APIs, FHIR interfaces, partner integrations, secure exports or narrowly scoped workflow connections. The exact option depends on the vendor, contract, data access and the actions the AI must perform.

Do not assume that an available API automatically permits every integration. Verify access, fees, certification and partner requirements.

Start with the workflow, not the API

Define what the AI needs to do.

Example:

1. Detect a completed procedure
2. Receive patient contact and limited service context
3. Send approved instructions
4. Manage replies
5. Escalate concerns
6. Offer follow-up booking
7. Write a summary back to the clinic

This determines the minimum data and integration depth.

Integration levels

Level 1: Secure scheduled export

The clinic exports an approved patient list for a limited workflow.

Advantages: Faster pilot, smaller implementation. Limitations: Delayed updates, reconciliation, manual write-back and greater operational oversight.

Level 2: One-way API or interface

The AI receives appointments, demographics or encounter events from the EHR.

Advantages: Better triggering and fewer manual uploads. Limitations: The AI may not update appointment or conversation status in the source system.

Level 3: Bidirectional integration

The system reads relevant events and writes back status, summaries or appointment actions.

Advantages: Better continuity and fewer duplicate tasks. Limitations: More security, testing, vendor approval and implementation effort.

Level 4: Embedded workflow

The AI appears within the EHR or its approved partner ecosystem.

Advantages: Strong user experience and context. Limitations: Often requires formal partnership and deeper product work.

ModMed

ModMed provides a developer portal describing ways outside systems can connect to ModMed products and customers. A practice or vendor should verify the current APIs, required permissions, supported write-back and commercial process.

Nextech

Nextech publishes developer resources, including FHIR-based access for supported patient and clinical data. Availability can differ by product and use case. Confirm whether the required scheduling and workflow endpoints are available.

EZDERM

EZDERM has announced API access for preferred-partner integrations. That does not mean unrestricted public API access. Ask about current partner requirements, supported data and production approval.

FHIR is helpful, not magic

FHIR standardizes the exchange of many health-data resources. It can reduce integration complexity, but real projects still face:

• Authentication
• Patient matching
• Vendor fees
• Limited data scope
• Write-back restrictions
• Testing environments
• Workflow differences
• Version differences
• Support dependencies

Security and governance requirements

Before connecting:

• Sign required BAAs
• Document data flow
• Use minimum necessary data
• Define access roles
• Encrypt transfers
• Log access and actions
• Test patient matching
• Define downtime behavior
• Establish data retention
• Verify subprocessor use
• Create incident procedures

Run a shadow pilot

Before messaging patients automatically, test:

• Whether the correct patients trigger
• Whether the correct workflow is selected
• Duplicate prevention
• Cancellation handling
• Provider and location accuracy
• Time zones
• Escalation
• Write-back
• Opt-out synchronization

Avoid replacing the EHR's source of truth

The EHR should remain authoritative for core clinical and scheduling information unless the practice has explicitly designed another architecture.

AI should coordinate work around the EHR, not create an ungoverned parallel patient record.

KolAI's integration approach should begin with a narrow post-visit workflow and expand only after data quality, safety and business impact are validated.