AI vs. Manual Patient Outreach: A Data-Driven Comparison
We analyzed over 10,000 patient outreach attempts across multiple healthcare practices to understand when AI-powered calling outperforms human callers - and when it doesn't.
The Study
Over six months, we tracked both AI-initiated and human-initiated calls for appointment rebooking across 15 healthcare practices. We measured answer rates, conversion rates, time to completion, and patient satisfaction.
Key Finding #1: Speed Is Everything
The single biggest factor in successful slot filling isn't who makes the call - it's how fast the call happens.
Time to First Call After Cancellation
47 sec
AI average
23 min
Human average
Human callers had to finish their current task, notice the cancellation, and find time to make calls. AI systems started immediately. This speed advantage translated directly to higher fill rates.
Key Finding #2: Answer Rates Were Comparable
One concern about AI calling is whether patients would answer or hang up. Our data showed minimal difference:
Call Answer Rates
62%
AI calls answered
67%
Human calls answered
Patients weren't screening out AI calls at significantly higher rates. The 5% difference was not statistically significant given our sample size.
Key Finding #3: Conversion Rates Depend on Complexity
For straightforward appointment rebooking (same type, just different time), AI performed as well as humans:
Simple Rebooking Conversion
71%
AI conversion rate
74%
Human conversion rate
However, when situations required nuance - patients with complex scheduling needs, those needing to discuss appointment preparation, or cases with insurance questions - humans had a clear edge:
Complex Situation Conversion
45%
AI conversion rate
68%
Human conversion rate
Key Finding #4: Volume Changes the Equation
The most significant advantage of AI became apparent with volume. A human caller can make perhaps 8-10 calls per hour (including wait time, voicemails, and documentation). AI can initiate 50+ calls in the same period.
When a practice had multiple cancellations on the same day, human callers couldn't keep up. AI called through the waitlist systematically, often filling all slots before a human caller would have finished the first.
Key Finding #5: Patient Satisfaction Was Neutral
In post-interaction surveys, patients who booked through AI calls reported satisfaction rates of 4.2/5 compared to 4.4/5 for human calls. The difference was not statistically significant.
Interestingly, many patients didn't realize they were speaking with AI. When informed afterward, most reactions were neutral or positive ("That's pretty cool").
The Optimal Approach
Based on our data, the best strategy combines both:
- AI first: For immediate, high-volume outreach when cancellations happen
- Human escalation: When AI encounters complex situations or patient questions it can't handle
- Human follow-up: For patients who didn't answer AI calls and may need a personal touch
This hybrid approach captured 89% of recoverable slots in our study - better than either AI-only (78%) or human-only (71%) approaches.
Conclusion
AI patient outreach isn't about replacing human interaction - it's about augmenting it. AI excels at speed and volume. Humans excel at nuance and relationship-building. The practices that succeed will be those that leverage both appropriately.
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