Upcoming AADOM LIVEcast: AI Designed for the Office Manager

In 2022, we sat with the AADOM AI focus group to learn more about what our office managers needed and how they wanted to see AI help with their day-to-day workflow. At the annual AADOM meeting in Florida in 2023, we revealed the toolsets that we had built with the office managers in mind and the larger projects that we were committing to build that would aid in the daily insurance and claims responsibilities, thus saving countless hours every week. Join us as we explore where AI has come, and where it is going, and how not to get left behind in this massive technological revolution.

Course Learning Objectives:

  • Learn how AI is changing the jobs and daily functions of every member of the dental office
  • Explore how AI is playing a huge part in helping build confidence and trust with patients
  • Discover how AI can be leveraged to assist with the ongoing insurance claims and verification process

Please note, this session is being simulcast on the AADOM Facebook Page, the AADOM LinkedIn Page, and the AADOM YouTube Channel to view on 2/28/24 at 1:00 pm Eastern

Learn about the presenter:

Mike Buckner has spent the last 12 years growing dental software technology companies that are designed to streamline office efficiency and increase overall production while elevating the standard of care for your patients. He led business development and partner strategy for Solutionreach, back when offices were just starting to text patients to confirm appointments. He then helped grow Dental Intelligence, focusing on providing valuable insights to practices allowing them to focus on vital key performance indicators to improve overall practice health. He then joined Weave while it was in its infancy, leading partnership growth strategies. His most recent endeavor finds him as the Executive Vice President of Revenue at Pearl, the first company to bring Artificial Intelligence into the dental space with comprehensive FDA clearance to assist clinicians and team members in reading and detecting pathologies in 2D X-rays

 

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