Elliot Zibel on How Data Can Retain 96% Of Your Doctors

Are the quality care metrics of dentistry being used the way they should? Surprisingly (or unsurprisingly), not. In this episode of The Dental Economist Show, host Mike Huffaker sits down with Elliot Ziebel, founder of ClariFi Health to explore how data-driven decision-making is transforming dental group operation - from leveraging AI for practice analytics to implementing strategic quality metrics in hygiene departments.

What You’ll Learn:

How to use data analytics to identify and prioritize revenue opportunities in your dental practice

Why provider retention is the key metric for sustainable practice growth

How to double practice EBITDA through improved patient care standards

The importance of implementing data-driven change management

Why standardizing diagnostic protocols directly impacts practice profitability

How AI is transforming dental practice operations, from revenue cycle management to treatment planning

How to balance technology implementation with maintaining strong provider relationships and culture

Tune in for actionable insights on the critical intersection between quality patient care and increased practice profitability, driven by data.

Episode Highlights:

[06:04 - 9:49] A Retention-First Approach Changes Everything

Elliot reveals that there's a 98% correlation between doctor retention and same-store revenue/EBITDA growth in dental practices. He found that focusing on creating a collaborative environment where providers could grow professionally while maintaining ownership stakes, led to 96% doctor retention, which cascaded into 90% hygienist retention and 92% patient retention. This retention-first approach eliminated the need for heavy marketing spend since patient retention became their primary growth driver.

[14:34 - 29:13] The Value of Data-Driven Hygiene Standards

Elliot shares how measuring and improving hygiene standards can dramatically impact practice profitability, noting that while 50% of Americans over 30 have periodontal disease, most practices only have 15-20% of adult patients in perio programs due to inconsistent probing and diagnosis. By implementing clear standards around FMX frequency, perio probing, and fluoride application, practices can identify millions in untapped revenue. The key is using data to track these metrics at both the provider and practice level.

[29:14 - 39:54] Using Prioritization to Get Useful Data

Instead of overwhelming teams with countless metrics, Elliot recommends focusing on just 1-3 key initiatives at a time. His company's initiative tracker forces prioritization by limiting projects and requiring clear ownership, goals, and timelines. They evaluate opportunities based on effort versus EBITDA impact to identify quick wins that build momentum. This focused approach prevents analysis paralysis and drives actual behavior change.

[50:13 - 55:27] The AI-Enabled Future of Dental Operations

Elliot explains how AI and automation are transforming dental practice operations beyond just clinical applications. He sees opportunities to automate routine tasks in revenue cycle management, finance, HR, and treatment planning follow-up. The key is identifying processes that can be standardized and automated while maintaining quality care standards. For forward-thinking practice leaders, this suggests focusing first on automating administrative workflows to free up staff time for patient care. Understanding and experimenting with AI capabilities will be crucial for practices looking to gain operational efficiency.

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