Top 3 CRM & EHR Automations to Scale Your Healthcare Marketing in 2025

By
Nathan Smith
June 26, 2025
6 Minutes
Software that medical practices need to have

For today’s healthcare organizations, investing in a CRM or EHR system isn’t just about going digital—it’s about building a scalable foundation for patient-centered growth. But technology alone doesn’t solve inefficiencies. The real impact comes from how these systems are configured—specifically, the automations that power them.

As the Forbes Business Council puts it, “automation allows for personalization at scale and significantly reduces manual intervention, freeing up your team to focus on higher-value work” (Forbes, 2023). In healthcare marketing, that means fewer missed opportunities, faster response times, and a more seamless patient journey from first click to long-term retention.

The three most important automations we’ll cover today are: post-booking follow-ups, automated review requests, and patient segmentation through tagging.

These automations were originally set up inside GoHighLevel (GHL), but the underlying principles apply across most CRM systems—including platforms like HubSpot, Salesforce, and others. No matter what software your clinic uses, these workflows are foundational to creating a patient journey that feels personalized, timely, and efficient.

Let’s break down each one.

Post-Booking Follow-Ups

Reduce No-Shows and Improve Patient Readiness

Once a patient books an appointment, your CRM should immediately take over. This automation isn’t just about convenience—it’s about keeping patients informed, reducing no-shows, and increasing operational consistency.

How to Set It Up:

  • Trigger: Appointment booked via GoHighLevel, Acuity, or your EHR
  • Step 1: Send a same-day SMS confirmation
    Example: “Hi {{Contact.first.name}}, your appointment is booked for {{appointment date/time}} at [Your Clinic Name]. Reply here with any questions.”
  • Step 2: Email confirmation with pre-visit instructions or forms
  • Step 3: If forms are incomplete 24 hours prior, send reminder SMS and alert staff
  • Step 4: Morning-of text with “Reply CONFIRM” keyword
  • Step 5: Track replies and update contact status automatically

Why It Matters:
No-shows are costly—both financially and operationally. According to industry data cited by Forbes, clinics using automated confirmations reduce no-shows by up to 38%.

As a Saint Cloud marketing agency, we’ve implemented this for medical spas, primary care clinics, and aesthetic practices across Central Florida—and the result is always the same: fewer no-shows, higher patient satisfaction.

Automated Review Requests

Grow Your Online Reputation Without Lifting a Finger

Every 5-star review on Google or Healthgrades increases your visibility, trust, and patient conversions. But most practices don’t ask consistently—because asking manually is awkward. This can be one of the most important automations for clinics and businesses that are just starting and want to start getting reconginized locally. The best way to set this system up is actually by using AI-Powered Automations to message the user and based off their response, gauge whether to send them a review request or not. However, most systems do not incorporate that so we will show you how to build it in a standard workflow builder.

How to Automate It:

  • Trigger: 24–48 hours after the appointment
  • Step 1: Friendly SMS asking how they’re feeling
    Example: “Hi {{Contact.first.name}}, this is [Provider Name] from [Clinic Name]. How are you feeling after your visit yesterday?”
  • Step 2: Based on their response, either trigger a Google Review link (if positive) or escalate to staff (if negative)
  • Step 3: Track engagement or add tags like “Promoter” or “Needs Follow-Up”

Why It Matters:
As a marketing agency in Saint Cloud Florida, we’ve seen that one glowing review can generate dozens of new bookings. Automating the ask ensures consistency—and filters out poor timing so only happy patients get prompted.

Smart Patient Segmentation

The Foundation for Scalable, Personalized Marketing

Segmentation is what every big business does to categorize their customers. You can segment people off any metric you please but some common ones for healthcare marketing are Treatments, LTV , Age, Gender, and Total treatments. As your patient list grows, remembering who got Botox, Morpheus8, or weight loss injections becomes impossible. With automation, your CRM can tag every patient based on what they booked and how they responded. You can do your segmentation inside your EHR or CRM, but if you use your CRM you will need to map your webhook from your EHR.

How to Do It:

  • Step 1: Create tagging rules like “PRP Lead,” “Laser Hair Removal Patient,” or “Weight Loss VIP”
  • Step 2: Trigger when an appointment is created or completed
  • Step 3: Extract procedure type from appointment data (e.g., “Quantum RF”)
  • Step 4: Apply tag dynamically inside GoHighLevel or your EHR
  • Step 5: Store and use these tags to fuel campaigns like:
    • Birthday offers
    • Seasonal promos
    • Reactivation flows

Why It Matters:
This kind of segmentation is how top performing clinics do their healthcare marketing. Segmenting your patients automatically opens to door for endless possibilities down the line with targeted emails or using SMS in your healthcare marketing.

Final Thoughts: Automation Is the Edge for Healthcare Clinics in Central Florida

Every minute your front desk spends chasing down forms, no-shows, or reviews is time better spent improving care or converting new patients. These three automations are not just “nice to have”—they’re foundational to scaling efficiently.

As Forbes notes, automation is no longer optional in healthcare. It’s a strategic advantage that separates scalable practices from reactive ones.

At Nexamed, a healthcare-focused marketing agency in Saint Cloud, Florida, we specialize in building these exact systems—from workflow design to CRM setup and full-scale lead generation.

If your team is still doing everything manually, it’s time to automate and scale.

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