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DESCRIPTION:Course Summary: Insurance processes are among the most time-con
 suming and costly aspects of dental practice management. This course explo
 res how artificial intelligence (AI) can streamline eligibility verificati
 on\, automate benefits interpretation\, and reduce errors in claims submis
 sion. Participants will learn how AI supports insurance navigation from th
 e front desk to the back office — reducing administrative burdens\, improv
 ing patient financial transparency\, and ultimately increasing case accept
 ance. Real-world case studies will highlight how AI tools can free up staf
 f time\, minimize denials\, and deliver a better patient experience.Learni
 ng Objectives:•Describe the role of AI in insurance and how it compares to
  traditional manual processes.•Identify how AI streamlines claims manageme
 nt\, including coding accuracy\, detecting downgrades\, and minimizing res
 ubmissions.•Apply AI-driven insights to improve patient financial conversa
 tions\, leading to greater treatment plan acceptance.•Discuss the impact o
 f AI on administrative efficiency\, including staffing\, time savings\, an
 d reduction of insurance backlogs.•Recognize legal\, ethical\, and complia
 nce considerations when implementing AI for insurance navigation.•Develop 
 strategies to introduce AI-enabled insurance tools into practice workflows
  with minimal disruption.Bio for Sana Changezi\, DDSDr. Sana Changezi is a
  Senior Clinical Manager at Overjet\, the world leader in dental artificia
 l intelligence. A professional with extensive dental experience\, she has 
 spent the last seven years specializing in clinical informatics and utiliz
 ation management.Her background includes serving as the Clinical Director 
 of Florida Dental Group\, where she successfully launched and managed mult
 iple dental practices\, overseeing operations\, clinical quality\, and pat
 ient care. Having experienced nearly every role in the dental field\, she 
 brings a deep understanding of the challenges faced by dental teams and pa
 tients alike.Dr. Changezi's expertise is at the intersection of clinical d
 entistry\, informatics\, and insurance. At Overjet\, she provides strategi
 c guidance and consulting while partnering with payers and providers to dr
 ive the adoption of AI in claim review and clinical decision-making\, audi
 ting clinical parameters\, finding new ML attributes and creating detailed
  rules engine logic for over 120M+ lives. She is also a member of the Nati
 onal Association of Dental Plans (NADP) Clinical Subwork Group and the Ame
 rican Association of Dental Consultants (AADC). Her passion for technology
  and data-driven dentistry helps to bridge the gap between clinical expert
 ise and advanced analytics to optimize patient care.Register Here!
DTEND:20261002T023000Z
DTSTAMP:20260510T174753Z
DTSTART:20261002T010026Z
LOCATION:
SEQUENCE:0
SUMMARY:Navigating Insurance with AI: Smarter Verification\, Claims\, and C
 ase Acceptance
UID:RFCALITEM639140320733977166
X-ALT-DESC;FMTTYPE=text/html:<img src="https://www.mbdsdentist.com/images/l
 ocalcamontereybaycalifornialibraries/default-library/bluereverselogo38438c
 fe-39c0-4e9a-bdd3-6741f8b56146.png?sfvrsn=ff3676df_1" alt=""><div><p><span
  style="background-color: initial\; font-size: inherit\; text-align: inher
 it\; text-transform: inherit\; word-spacing: normal\; caret-color: auto\; 
 white-space: inherit"><strong>Course Summary:</strong> </span></p><p><span
  style="background-color: initial\; font-size: inherit\; text-align: inher
 it\; text-transform: inherit\; word-spacing: normal\; caret-color: auto\; 
 white-space: inherit">Insurance processes are among the most time-consumin
 g and costly aspects of dental practice management. This course explores h
 ow artificial intelligence (AI) can streamline eligibility verification\, 
 automate benefits interpretation\, and reduce errors in claims submission.
  Participants will learn how AI supports insurance navigation from the fro
 nt desk to the back office — reducing administrative burdens\, improving p
 atient financial transparency\, and ultimately increasing case acceptance.
  Real-world case studies will highlight how AI tools can free up staff tim
 e\, minimize denials\, and deliver a better patient experience.</span></p>
 </div><div><p><strong>Learning Objectives:</strong></p></div><div>•<span s
 tyle="background-color: initial\; font-size: inherit\; text-align: inherit
 \; text-transform: inherit\; word-spacing: normal\; caret-color: auto\; wh
 ite-space: inherit">Describe the role of AI in insurance and how it compar
 es to traditional manual processes.</span></div><div>•<span style="backgro
 und-color: initial\; font-size: inherit\; text-align: inherit\; text-trans
 form: inherit\; word-spacing: normal\; caret-color: auto\; white-space: in
 herit">Identify how AI streamlines claims management\, including coding ac
 curacy\, detecting downgrades\, and minimizing resubmissions.</span></div>
 <div>•<span style="background-color: initial\; font-size: inherit\; text-a
 lign: inherit\; text-transform: inherit\; word-spacing: normal\; caret-col
 or: auto\; white-space: inherit">Apply AI-driven insights to improve patie
 nt financial conversations\, leading to greater treatment plan acceptance.
 </span></div><div>•<span style="background-color: initial\; font-size: inh
 erit\; text-align: inherit\; text-transform: inherit\; word-spacing: norma
 l\; caret-color: auto\; white-space: inherit">Discuss the impact of AI on 
 administrative efficiency\, including staffing\, time savings\, and reduct
 ion of insurance backlogs.</span></div><div>•<span style="background-color
 : initial\; font-size: inherit\; text-align: inherit\; text-transform: inh
 erit\; word-spacing: normal\; caret-color: auto\; white-space: inherit">Re
 cognize legal\, ethical\, and compliance considerations when implementing 
 AI for insurance navigation.</span></div><div><p>•<span style="background-
 color: initial\; font-size: inherit\; text-align: inherit\; text-transform
 : inherit\; word-spacing: normal\; caret-color: auto\; white-space: inheri
 t">Develop strategies to introduce AI-enabled insurance tools into practic
 e workflows with minimal disruption.</span></p><div><p><strong>Bio for San
 a Changezi\, DDS</strong></p><p>Dr. Sana Changezi is a Senior Clinical Man
 ager at Overjet\, the world leader in dental artificial intelligence. A pr
 ofessional with extensive dental experience\, she has spent the last seven
  years specializing in clinical informatics and utilization management.</p
 ></div><div>Her background includes serving as the Clinical Director of Fl
 orida Dental Group\, where she successfully launched and managed multiple 
 dental practices\, overseeing operations\, clinical quality\, and patient 
 care. Having experienced nearly every role in the dental field\, she bring
 s a deep understanding of the challenges faced by dental teams and patient
 s alike.</div><div>Dr. Changezi's expertise is at the intersection of clin
 ical dentistry\, informatics\, and insurance. At Overjet\, she provides st
 rategic guidance and consulting while partnering with payers and providers
  to drive the adoption of AI in claim review and clinical decision-making\
 , auditing clinical parameters\, finding new ML attributes and creating de
 tailed rules engine logic for over 120M+ lives. She is also a member of th
 e National Association of Dental Plans (NADP) Clinical Subwork Group and t
 he American Association of Dental Consultants (AADC). Her passion for tech
 nology and data-driven dentistry helps to bridge the gap between clinical 
 expertise and advanced analytics to optimize patient care.</div><p></p><p>
 <span style="background-color: initial\; font-size: inherit\; text-align: 
 inherit\; text-transform: inherit\; word-spacing: normal\; caret-color: au
 to\; white-space: inherit"><a href="https://lp.constantcontactpages.com/ev
 /reg/7xbtnxm">Register Here!</a></span><span style="background-color: init
 ial\; font-size: inherit\; text-align: inherit\; text-transform: inherit\;
  word-spacing: normal\; caret-color: auto\; white-space: inherit"></span><
 /p></div>
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