Too Many Missed Calls: How a Dallas Primary Care Clinic Improved Patient Access
At Trinity Grove Primary Care, Dr. Rachel Morgan saw patient demand growing, but reaching the clinic was becoming harder during peak hours. Calls for appointments, rescheduling, and routine questions often arrived while staff were helping patients, leaving some callers without immediate assistance.
The breakthrough came when Borna extended the clinic's communication capacity beyond the busy front desk. AI-assisted call handling captured patient needs when staff could not answer, while clearer follow-up visibility helped the team respond appropriately. Within 90 days, unresolved missed-call inquiries fell by an illustrative 61%.
Busy Phone Lines Limited Patient Access
Demand Exceeded Front-Desk Availability
A four-week review showed approximately 96 calls went unanswered during busy periods. Many arrived when employees were checking in patients, coordinating appointments, or already handling other calls. Patients sometimes called again, left incomplete messages, or waited hours before connecting with the clinic.
The team tried scheduled callback blocks and rotating phone responsibilities, but both depended on staff availability. Returning a missed call also required determining why the patient had contacted the practice. Dr. Morgan needed to improve access without simply adding more front-desk pressure.
What changed
| Metric | Before | After |
|---|---|---|
| Unanswered calls needing staff review | 96/month | 42/month |
| Unresolved missed-call inquiries | 31/month | 12/month |
| Average follow-up response time | 3.2 hours | 1.1 hours |
| Calls with identified patient intent | 58% | 92% |
| Missed-call follow-up completion | 71% | 91% |
| Repeat calls after missed contact | 28/month | 15/month |
Extending Patient Access Beyond the Front Desk
Capture Missed Calls
Eligible unanswered calls could move to Borna's AI auto attendant, helping capture why patients were contacting the clinic during busy periods.
Identify Patient Needs
Supported intent tagging helped distinguish appointment inquiries, rescheduling, billing questions, cancellations, and other requests requiring different staff responses.
Summarize Conversations
AI-generated summaries and transcripts gave staff useful context without requiring them to replay complete conversations before deciding on the appropriate action.
Organize Follow-Ups
Follow-up management kept unresolved conversations and pending actions more visible, helping employees respond when they became available without relying on memory.
Borna supported the clinic's existing systems with a more structured patient communication software workflow focused on calls employees could not immediately answer.
Together, these changes created a more structured healthcare workflow automation process around missed calls while keeping clinic staff involved in conversations requiring human attention.
What the work produced
Fewer Unresolved Missed Inquiries
Faster Follow-Up Response Time
Calls With Identified Intent
Missed-Call Follow-Up Completion
“Patients didn't need another phone number to call. They needed a better way to reach us when our team was already occupied.”
Trinity Grove Primary Care did not have a patient-demand problem. Its challenge was maintaining access when front-desk employees were already helping someone else. By using Borna to support missed-call handling, capture patient intent, provide conversation context, and organize follow-ups, the clinic created a clearer path from unanswered calls to appropriate staff action. Within 90 days, unresolved missed-call inquiries fell by an illustrative 61%, helping the practice improve access without simply placing more work on its front desk.
Frequently asked questions
Disclaimer: The clinic, doctor, location-specific details, and performance figures in this case study are hypothetical and illustrative, created to demonstrate a realistic healthcare workflow while respecting client confidentiality.