Proactive Patient Check-Ins with AI Voice: The Complete Setup Guide
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What is the Patient Check-Ins Playbook?
Regular check-ins help identify issues early. Salesix AI Voice Agent ensures continuous patient engagement between visits.
What you'll achieve
Expected Results
- Automate patient check-ins at scale — 24 hours a day, 7 days a week
- Handle 10× more contacts per day without adding headcount
- Reduce manual effort on patient check-ins by up to 70%
- Respond to every contact instantly — no delays or missed calls
- Route high-intent results directly to your team or CRM automatically
How to Set Up This Playbook
Create Your Salesix Account
Sign up at app.salesix.ai, verify your email, and select your workspace. During onboarding, choose the "Patient Check-Ins" playbook template to get a pre-configured AI Voice Agent ready for this use case.
Configure Your AI Voice Agent
In the Agent Builder, set the agent persona, voice, language, and tone. Give your agent a natural-sounding name and configure it to introduce itself professionally. Enable interruption handling so the AI manages conversations gracefully.
Set Up the Patient Check-Ins Script
Load your custom script into the Script Editor. Define your opening message, key questions to ask, responses to common objections, and the desired call outcome. Use the sample script below as your starting point.
Define Call Logic & Routing Rules
Configure what qualifies as a successful call outcome. Set rules to route high-intent results to your CRM or team, schedule follow-ups for uncertain cases, and log all outcomes automatically.
Import Your Contact List
Upload your contact CSV or connect via CRM integrations (Salesforce, HubSpot, Pipedrive, and more). The agent will sequence through contacts automatically, respecting timezone and dial-attempt rules.
Set Schedule & Compliance Rules
Define calling hours, retry logic, maximum contact attempts, and voicemail drop messages. Enable do-not-call list management to ensure regional compliance.
Launch & Monitor Performance
Activate your campaign and monitor live transcripts, sentiment analysis, and conversion dashboards in Salesix Analytics. Use A/B testing on script variants to continuously improve results.
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Script Template
This is the winning script used by Salesix AI agents for this specific playbook.
Best Practices for This Strategy
Maximize your results by following these battle-tested recommendations from our top users.
Optimize Your Calling Windows
Schedule calls during 8–10 AM and 4–6 PM in the contact's local timezone. These windows consistently deliver 2× higher connect rates across most industries.
Keep Your Opening Under 15 Seconds
For Patient Check-Ins, your agent's opening should immediately state the value. Lead with the contact's pain point, not your product. Contacts decide in the first 8 seconds whether to engage.
A/B Test Script Variations
Create two script variants with different openings and run them simultaneously. Salesix analytics will show which converts better within 48 hours — then double down on the winner.
Personalize Using Contact Data
Use merge fields to include the contact's name, company, or industry context in your script. Personalized scripts see up to 37% higher engagement rates vs. generic outreach.
Segment Your Contact Lists
Create separate campaigns for different contact segments. Each segment should have tailored messaging, qualification criteria, and follow-up logic specific to their profile.
Review and Iterate Weekly
Analyze call transcripts and outcome data every week. If the same objection appears in 30%+ of calls, update your script immediately with a stronger response.
Frequently Asked Questions
Yes, concerning responses can trigger alerts or escalation workflows automatically.
Yes, comfort and safety questions are included.
Yes, high-risk responses trigger alerts.
Yes, regular outreach boosts engagement.
Yes, Salesix scales efficiently.
Yes, automation replaces manual check-ins.
Yes, automation operates continuously.
Yes, responses sync with platforms.
Salesix follows healthcare-grade security standards.
Earlier issue detection, better patient satisfaction, improved care continuity, and reduced emergency risk.
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