Block 1 - Workflow Overview
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Description Automate your entire patient appointment communication lifecycle: instant booking confirmation, timed reminders, and automatic no show detection with re booking outreach — all powered b...
n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.if, n8n-nodes-base.noop
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Maxim Dudnik.
Original n8n.io sourceAutomate your entire patient appointment communication lifecycle: instant booking confirmation, timed reminders, and automatic no-show detection with re-booking outreach — all powered by Aloware sequences and n8n. No-shows cost healthcare practices an estimated $150 billion per year in the US alone. This workflow tackles the problem end-to-end by confirming appointments the moment they're booked, sending graduated reminders leading up to the visit, and automatically re-engaging patients who don't show up.
Reminder Sequence: steps at 48h, 24h, and 2h before appointment (SMS reminders). No-Show Sequence: re-booking outreach (SMS → wait 1 day → call → SMS).
Configure your booking system's webhook to POST to this workflow's URL (Calendly → Webhooks, Acuity → API Webhooks, etc.). Set up a process in Aloware (or your EHR) to tag contacts as "no-show" when they miss their appointment — the workflow checks for this tag. Activate and test with a sample booking.
Aloware account with API access and an outbound line Booking/scheduling system that supports webhooks (Calendly, Acuity, Jane App, SimplePractice, Mindbody, etc.) A process to apply a no-show tag in Aloware when patients miss appointments (manual or automated via your EHR)
Edit the confirmation SMS to include prep instructions (e.g., "Please arrive 15 minutes early" or "Remember to fast before your blood work"). Add a Slack or email notification to front-desk staff when a no-show is detected. Add an additional branch for cancellation handling — if the patient replies CANCEL, disenroll from the reminder sequence and notify the scheduler. Adjust the Wait node timing if your practice wants to check for no-shows immediately after the appointment window rather than 1 hour later.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Send Aloware SMS confirmations, reminders, and no-show rebooking for appointments |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Support Chatbot |
| Author | Maxim Dudnik |
| Published | 13 Apr 2026 |
Use the JSON export at /data/workflows/15021/15021.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Description Automate your entire patient appointment communication lifecycle: instant booking confirmation, timed reminders, and automatic no show detection with re booking outreach — all powered b...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot use case.