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Telehealth & HealthTech Make.com • GoHighLevel • OpenAI HIPAA-Aligned Logic

Automating Doctor Onboarding: Sashing Verification from 7 Days to 48 Hours.

How we eliminated 40+ hours per week of manual clerical backlog, automated NPI and medical license verification, and onboarded 120+ credentialed telehealth physicians with zero human intervention.

120+
Physicians Onboarded
Zero manual delays
7d → 48h
Turnaround Time
71% faster provider time-to-consult
40+ hrs
Saved Per Week
Replaced manual clerical verification
99.4%
Data Accuracy
Zero dropped compliance files
Executive Summary

Scaling Telehealth Practitioner Capacity Without Hiring Staff

Healthcare App is a digital telehealth marketplace providing on-demand primary care, prescription refills, and specialist consultations. With patient demand accelerating rapidly, their core operational bottleneck became provider onboarding.

Each applicant required state medical license validation, National Provider Identifier (NPI) registry cross-referencing, DEA license checks, signed Master Service Agreements (MSAs), malpractice insurance uploads, and calendar sync.

Operating this across fragmented email threads, Google Drive folders, and manual spreadsheets resulted in a 7-day average turnaround, a 28% drop-off rate from frustrated physicians, and 40+ hours per week of clerical overhead.

The Operational Bottleneck

Where the Old Process Was Breaking Down

Bottleneck 01

Unstructured Document Dumps

Physicians uploaded cell phone photos, PDFs, and scanned medical licenses with inconsistent formats, forcing staff to manually transcribe numbers.

Bottleneck 02

Manual NPI Cross-Checking

Staff had to manually navigate government registry portals, copy license numbers, check active disciplinary actions, and upload verification stamps.

Bottleneck 03

Fragmented Contract Handoff

Agreements sat unsigned in inbox spam filters. Once signed, no automated trigger provisioned the doctor into the scheduling platform.

The Financial Impact: At 15 new physician applications per week, onboarding delays were costing the platform over $18,000/month in delayed patient consultation revenue and roughly $6,500/month in dedicated administrative payroll.
System Architecture

The Zero-Touch Automation Pipeline

I re-architected the entire intake journey into a clean event-driven pipeline connecting GoHighLevel, Make.com, OpenAI document parsing, and automated e-signatures.

// HIGH-LEVEL DATA FLOW ARCHITECTURE
[Doctor Application Intake]
       │  (GoHighLevel Custom Portal + File Uploads)
       ▼
[Make.com Webhook Gateway] ───► [HMAC Security Token Validation]
       │
       ▼
[OpenAI Document Intelligence]
       │  Extracts: State License #, Expiration, NPI, Tax ID
       ▼
[External API Registry Check] (NPPES Registry Endpoint)
       │  Status: Active & Validated
       ▼
[GoHighLevel Sub-Account Router]
       │  1. Moves Opportunity to "Credentials Verified"
       │  2. Populates Custom Fields & Doctor Profile
       ▼
[E-Signature Dispatch] (DocuSign / SignNow API)
       │  Pre-filled Provider Independent Contractor Agreement
       ▼
[Twilio SMS & Email Nurture]
       │  "Dr. Vance, your credentials are confirmed. Schedule your 15-min tech demo:"
       ▼
[Provider Active on Live Telehealth Calendar] (Turnaround: < 48 Hours)
          

Structured Webhook Payload Example

Make.com sanitizes raw form input and maps verified physician data directly into GoHighLevel custom values:

{
  "event": "physician_credentials_submitted",
  "physician_id": "doc_92819_vance",
  "name": "Dr. Marcus Vance, MD",
  "npi_number": "1942850192",
  "primary_state": "CA",
  "medical_license": "A194820",
  "license_status": "ACTIVE_VERIFIED",
  "dea_registration": "BV1948201",
  "specialties": ["Internal Medicine", "Tele-Triage"],
  "pipeline_stage": "CREDENTIALS_APPROVED",
  "action_items": {
    "generate_contract": true,
    "sms_notification_sent": true,
    "auto_calendar_provisioned": true
  }
}
Implementation Blueprint

How It Was Built in 3 Weeks

01

Unified Intake & File Sanitization

Replaced Google Forms with an authenticated GoHighLevel landing page form with strict file constraints (PDF, high-res PNG). Submissions trigger an immediate webhook to Make.com with rate-limiting and payload validation.

02

AI OCR & Medical Registry Verification

Used an OpenAI vision prompt to extract state license numbers, expiration dates, and full legal names from uploaded medical board certificates. The pipeline then sends a query to the NPPES API to verify active licensure in seconds.

03

Automated Agreement Prefill & E-Signature

Once validated, Make.com triggers the e-signature API, generating a prefilled Independent Contractor Agreement with the physician's verified license and legal entity. An SMS link is dispatched within 60 seconds of submission.

04

GoHighLevel Pipeline Sync & Live Onboarding

When the contract is signed, the deal automatically moves to "Won / Active Provider" in the GHL pipeline, provisions the doctor's calendar slots, and sends calendar invites for a brief 15-minute portal walkthrough.

Verified Scorecard

Before vs. After Automation

Metric Manual Legacy Workflow Automated Make + GHL Engine Net Improvement
Average Onboarding Cycle 7.2 Business Days 48 Hours 71% Reduction
Staff Manual Labor 42 Hours / Week < 2 Hours / Week 95% Time Reclaimed
Physician Application Drop-Off 28.4% Abandonment 4.1% Abandonment 85% Retention Lift
Credentialing Errors 8 - 12 per month 0 Reported Errors 100% Audit Compliance

"Before Jec stepped in, our operations team was drowning in licensing verification PDFs and back-and-forth emails. Doctors were giving up halfway through. Jec's automated Make and GoHighLevel setup onboarded over 120 physicians in record time and gave us back hundreds of hours of executive bandwidth."

HO
Head of Medical Operations
Healthcare App Marketplace

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