Products

AI Insights
from BOLA AI

10/16/2024
|
5 min. to read

In recent years, artificial intelligence (AI) has shifted from futuristic speculation to practical application in industries across the board. Dentistry, in particular, has witnessed this shift firsthand as AI reshapes everything from diagnostics to patient management. To delve into the real-world benefits and challenges of AI in dental practices, we sat down with a renowned AI expert, Rushi Ganmukhi CEO of BOLA AI. Rushi leads a company at the forefront of this change. This article captures his expert insights and presents a compelling case study that highlights how AI-driven solutions are making measurable improvements in dental care.

Rushi Ganmukhi
CEO, BOLA AI

What do you see as the top applications of AI in dentistry today? Two years from now?
“AI in dentistry is still in its early innings. Currently, most solutions are focused on optimizing a practice in very specific ways. Voice AI for charting, AI processing of radiographs, and AI for revenue cycle management are among the most prolific applications today. I think in the next few years the market will move from point-solutions – specific solutions for specific pain-points, to broader solutions that tackle a variety of problems throughout the entire user workflow.”

What is the next big thing coming as it relates to AI?
“I think generative AI has not really made the impact yet on dentistry that it has in other markets. We are excited to launch our own initiatives here as well as seeing where others are going to apply this novel technology. From a macro view, one of the big trends we are hearing from many companies is expanding their offerings to address more pain points throughout the workflow, and by doing this providing more comprehensive solutions. At Bola we started with AI for perio charting, and have expanded to clinical notes and restorative charting. By selling a comprehensive product suite we have extremely happy customers, who have bought one solution but are solving multiple problems.”

Should smaller practices be pursuing AI any differently than larger group practices?
“Smaller practices can benefit from AI, however they may not be able to do massive implementations or multiple products at once. My advice would be to start, but to start with a small enough chunk that they can find success quickly and to build from there. Onboard a single product that you can immediately measure the impact on.”

How should practices evaluate which AI services/providers are best for them?
“This is a great question and it’s where the rubber hits the road. Practices should ask about what implementation, what the time to generate value and what the investment from a staffing perspective looks like. Ideally offices have a crystal clear idea of what they are looking to improve prior to purchasing, i.e. hygiene production. These offices can then measure a benchmark and see exactly how much value the new technology is providing.”

What are the biggest challenges for users as it relates to using AI?
“The biggest challenge for any new technology is how easily it fits into the way customers are currently doing things. Most providers have spent years in school and practicing honing their workflow. We do not want to disturb that workflow, we want to enhance it. There are many products out there that provide value, but the big question with most of them is can they get users to use it and use it properly. That is the key and challenge with AI. It is crucial for any product to be easy to learn, easy to use and sticky for repeat usage. We place a premium on this in our product development and work directly with a variety of clinicians to ensure that it is a smooth experience.”

Case Study

 

One of the largest DSOs

Situation:
A large national DSO evaluated Bola AI with the goal of increasing treatment revenue from periodontal diseases. The hypothesis was that more comprehensive charts would lead to more diagnoses, resulting in increased treatment opportunities. The organization was also focused on boosting revenue while reducing the time and manual resources required for periodontal charting.

Task and Approach:
To test this, the DSO implemented Bola AI’s Clinical Voice Assistant in 27 practices, tracking the results over a three-month period. Each practice completed over 100 periodontal charts, with the data analyzed by a third-party analyst.

Results:
Bola AI saved dental hygienists an average of 18.5 minutes per day. Additionally, 77% more perio-related diagnoses were made, which increased revenue and led to fewer patients suffering from periodontitis.

The Bola AI implementation also improved the efficiency of appointment scheduling, as fewer dental assistants were required for new patient charting which reduced the need for assistants from 47% of the time to just 10%. Other key benefits included an increase in full quadrant treatments and improved acceptance rates for scaling and root planing (SPR). With an average installation and training time of less than 10 days, the system delivered a remarkable 14.2 ROI, with revenue returns 14 times higher than the initial investment and a payback period of just 1-2 months.

This study reveals two primary benefits for dental offices that use it.
The first order benefit is that it helps hygienists save time by completing periodontal charts more quickly and without having to rely so much on a second employee to record the data. The second order benefit is that it helps dental offices make more money by increasing the number of fully completed periodontal charts, which in turn frees up the hygienist to explain why relevant procedures are necessary, resulting in more production.

Taken together, it’s clear that Bola can benefit dental offices — especially if those offices are ready to implement the software within 10 days— and, most importantly, improve the life of hygienists.

Learn more about what Bola can do for you.

Gain ACCESS TO
INSPIRING
stories
Get membership
Filter
Categories
Paspaudę „Įsigyti mokymus“ mygtuką būsite nukreipti į platformą, kurioje galėsite įsigyti šiuos mokymus.