Charlotte Chiropractic Clinic Cut Patient Response Times by 68%
Dr. Marcus Carter knew Carolina Motion Chiropractic was attracting new patient interest, but too many inquiries arrived while his team was occupied with patients. Delayed callbacks meant some prospective patients waited hours before the practice could understand their needs and respond.
The clinic adopted a more structured communication process powered by Borna, giving staff faster context around missed inquiries and clearer follow-up visibility. Within 90 days, average response time dropped from 3.7 hours to 71 minutes, while follow-up completion reached 91%.
Turning Patient Interest Into Timely Conversations
Dr. Carter had built Carolina Motion Chiropractic around accessible, personalized care. As patient volume increased, he wanted the communication experience to remain equally responsive. His small team needed to manage new inquiries without pulling attention away from patients already receiving care. The goal was not simply to answer more calls; it was to ensure that when immediate response was impossible, the patient's reason for contacting the practice could still be captured and moved toward an appropriate next step.
Good Inquiries Were Waiting Too Long
The issue became clear after Dr. Carter reviewed a month of incoming communication. The clinic recorded approximately 57 calls that staff could not answer immediately, with an average follow-up time of 3.7 hours.
The team cared about responding quickly, but timing worked against them. A missed call during a treatment-heavy afternoon might not receive attention until the schedule opened later. Staff then had to determine who called, understand what they needed, and decide who should respond.
Callback lists helped, but they did not provide enough context. By the time staff returned some inquiries, prospective patients had already contacted another provider or the urgency behind their original request had faded.
Four Gaps Slowed Every Patient Response
A workflow review showed that the delay was not caused by one major breakdown. Several small communication gaps were adding unnecessary time between an inquiry and a meaningful response.
| Communication Gap | Impact on Response |
|---|---|
| Missed calls often provided limited immediate context for staff. | Staff needed extra time to understand why the patient had called. |
| Patient intent required manual review before prioritizing responses. | Important inquiries could wait while employees reconstructed patient needs. |
| Callback responsibility could shift during especially busy clinic periods. | Ownership of the next response was not always immediately clear. |
| Unresolved conversations lacked consistent follow-up visibility across the team. | Pending patient requests could remain open longer than intended. |
| Response depended heavily on staff availability. | Patient interest could lose momentum before a meaningful conversation occurred. |
Together, these gaps created a response process that depended too heavily on staff availability. The clinic had patient interest; it needed a faster way to understand and act on that interest.
Response Speed Started With Better Context
Dr. Carter's turning point came after comparing two similar new-patient inquiries. One caller reached an employee immediately and progressed quickly toward scheduling. Another called during a busy period and waited several hours for follow-up. The difference was not patient interest, it was what happened when staff were unavailable. Dr. Carter realized improving response time required capturing useful information at the moment an inquiry arrived, not simply asking employees to return calls faster.
Building a Faster Patient Response Workflow
Borna Connect was introduced to support the clinic's existing communication workflow, helping staff capture missed interactions and respond with better context.
Capture Missed Calls
Eligible unanswered calls could be handled by Borna's AI, capturing why the patient contacted the clinic when staff were unavailable.
Summarize Conversations
AI-generated call summaries and transcripts gave employees quick context without requiring them to replay complete recordings before deciding what came next.
Organize Follow-Ups
Conversations requiring additional action could remain visible, helping staff track unresolved patient requests and manage callbacks through a clearer process.
Continue Through SMS
One-to-one SMS gave staff a digital option for continuing appropriate patient conversations without depending entirely on another successful phone connection.
Faster Responses Within 90 Days
Within three months, the illustrative results showed a more responsive communication process without requiring additional front-desk staffing.
Average Patient Response Time
Faster Inquiry Response Time
Follow-Up Completion Rate
Monthly Unresolved Inquiries
The improvement changed more than one metric. Staff could understand missed interactions faster and spend less time reconstructing patient needs before responding. Dr. Carter gained greater confidence that unanswered calls were less likely to disappear into the day's workload. Most importantly, prospective and existing patients had a clearer path back into conversation with the practice when immediate human response was not possible.
“We didn't need our staff to move faster. We needed to give them better information so they could respond faster.”
Faster Responses Without Adding More Pressure
Carolina Motion Chiropractic already had patient interest. The missing piece was a reliable process for handling inquiries when employees could not immediately respond. By capturing missed-call intent, providing AI-generated context, and keeping required follow-ups visible, the clinic shortened the distance between a patient's first contact and the team's next action.
Within 90 days, illustrative average response time dropped from 3.7 hours to 71 minutes while follow-up completion reached 91%. The bigger change was not asking employees to work faster. It was creating a healthcare workflow automation process that helped them act sooner with better information.
Frequently asked questions
Disclaimer: The clinic, doctor, and location-specific details in this case study are hypothetical and illustrative, created to demonstrate a realistic healthcare workflow while respecting client confidentiality.