GABBERT MEDICAL
|
RURAL HEALTH CLINIC
From Taking Notes to Focusing on Care
AI Medical Charting Sofware Lets Gabbert Medical Put Its Full Focus on Patients
Gabbert Medical is a rural health clinic (RHC) in Payson, Arizona, that offers primary care and chiropractic services. Dr. Brian Gabbert opened the clinic in 2016. His goal, to find the root cause of patients’ suffering and use holistic care and patient education to provide lasting wellness.
As Gabbert Medical grew, owner/operator Dr. Gabbert, DC, was spending more time charting than listening to patients. To help, he moved from paper charting to a dictation tool that promised to add AI in the future. That tool didn’t work out. And when he heard of Azalea Ambulatory EHR with integrated AI Clinical Assistant (AI medical charting software) for ambient charting that combined dictation and AI, he was all in.
Gabbert Medical
Location: Payson, Arizona
Providers: 4
Staff: 5
Services: Chiropractic and primary care
Azalea EHR and Clinical Assistant user since: March 2025
Before AI for Medical Charting Software
- Increased administrative burden due to tedious, time-consuming manual charting, often done after hours
- Time lost on patient care to focus on charting instead
- Lost revenue opportunities due to having to manually look up codes and information
With Azalea AI Clinical Assistant
- More time with patients by automating the charting process
- Faster charting done at the time of service
- No time needed after hours to make or revise notes
- Expanded reimbursement opps and time savings with built-in coding suggestions
It frees me up to pay more attention to what the patient is saying, because I'm not trying to write something down while they're talking. Now, my note is done before I move on to the next patient. I’m not trying to sit at the end of the night trying to remember, what did Mrs. Jones say or what does she have, if I don’t get it entered during the visit.
Dr. Brian Gabbert, DC, Gabbert Medical
Download the Full Case Study
Want to learn more? Download the full case study below.