Purpose
1. Automate collection, aggregation, analysis, and reporting of patient satisfaction and feedback for dental implant providers.
2. Enable automated detection of trends, service gaps, and consumer sentiment for data-driven decision-making.
3. Automate alerting and escalation of negative feedback to responsible teams for immediate remedial action.
4. Centralize feedback data from email, SMS, web forms, and review platforms into automated analytics dashboards.
Trigger Conditions
1. Upon completion of a patient appointment or dental implant procedure.
2. Scheduled time intervals, e.g., weekly or monthly feedback review automation.
3. Receipt of feedback form, web survey, email, SMS, or external review notification.
4. Negative keyword detection in feedback, triggering an automated escalation.
Platform Variants
3.1. Twilio SMS
- Feature/Setting: Automate SMS survey dispatch via Twilio Messaging API after each procedure; configure messaging service SID, recipient list.
3.2. SendGrid
- Feature/Setting: Automate survey emails with SendGrid Mail Send API; set dynamic templates with patient info variables.
3.3. SurveyMonkey
- Feature/Setting: Automate survey creation, collection, and webhook integration to pull responses using SurveyMonkey API.
3.4. Google Forms
- Feature/Setting: Automate form response aggregation via Google Forms API pull, trigger on submission.
3.5. Typeform
- Feature/Setting: Use Typeform API for automated survey data extraction post-completion.
3.6. Microsoft Power Automate
- Feature/Setting: Workflow automation linking patient management software to feedback dashboards.
3.7. Zapier
- Feature/Setting: Automate multi-app integration for survey collection and dashboard updates on new feedback.
3.8. HubSpot
- Feature/Setting: Automate feedback ticket creation using feedback submission trigger and HubSpot Tickets API.
3.9. Salesforce
- Feature/Setting: Automate survey send/receive with Salesforce Surveys and data push to dashboards using API.
3.10. Freshdesk
- Feature/Setting: Trigger automated alert on feedback with negative sentiment via Freshdesk automations.
3.11. Slack
- Feature/Setting: Automated notifications to internal teams for new and negative feedback using Webhook API.
3.12. Google Sheets
- Feature/Setting: Automate saving and analytics of feedback data with Apps Script trigger on new entry.
3.13. Tableau
- Feature/Setting: Automate data import to dashboards with Tableau REST API for real-time visualization.
3.14. Power BI
- Feature/Setting: Automate feedback ingestion and dashboard updating using Power BI REST API.
3.15. Monday.com
- Feature/Setting: Automate creation of feedback items/tasks upon trigger event via Monday API.
3.16. Intercom
- Feature/Setting: Automate collection of user feedback from chat interactions using Intercom Webhooks and APIs.
3.17. Medallia
- Feature/Setting: Automate real-time feedback management with Medallia API integration.
3.18. Zendesk
- Feature/Setting: Trigger feedback tickets to agents using Zendesk Triggers and API.
3.19. Google Data Studio
- Feature/Setting: Automate dashboard reporting with live data from Sheets or external APIs.
3.20. Mailchimp
- Feature/Setting: Automate follow-up survey email sequences using Mailchimp Campaigns API.
3.21. Jotform
- Feature/Setting: Automate patient feedback collection/aggregation via Jotform API webhook.
3.22. Trustpilot
- Feature/Setting: Automate retrieval of review data from Trustpilot API for sentiment analytics.
3.23. Qualtrics
- Feature/Setting: Automate survey distribution, collection, and result posting using Qualtrics API.
3.24. Facebook Graph API
- Feature/Setting: Automate collection of Facebook reviews for analytics dashboard.
3.25. Google My Business API
- Feature/Setting: Automate pull of Google reviews to dashboard; configure API for location and feedback type.
3.26. AWS Lambda
- Feature/Setting: Automate backend data processing of feedback for analytics pipeline.
Benefits
1. Save manual effort with automated survey distribution and response collection.
2. Achieve real-time visibility of patient satisfaction trends and service performance.
3. Automate escalation for rapid response to negative feedback.
4. Achieve centralized, automated analytics for data-driven improvements.
5. Ensure consistent, automated collection from all patient touchpoints and feedback channels.