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Aspen Dental improves treatment acceptance 12% with VideaHealth AI clinical platform across 1,100+ practices

“Aspen Dental improves treatment acceptance 12% with VideaHealth AI clinical platform across 1,100+ practices” documents a Clinical Decision Support deployment in Dental & Oral Health at Aspen Dental. www.dental-tribune.com reports treatment acceptance increase: 12%; this directory has not independently verified that result.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
3 cited below
Directory entry published:
Source link checked:

The source-link check confirms reachability, not independent re-verification of every claim.

12%Treatment Acceptance Increase
1,100+Practices Covered
6 weeksRollout Duration

Source-reported figures — cited source: www.dental-tribune.com

Aspen Dental
Metric Before After Impact
Treatment Acceptance Rate +12% 12% increase in treatment acceptance
Practices Covered 1,100+ Network coverage expanded
Patient Intervention Timing Earlier in care pathway Patients accepting care before conditions progress

The Challenge

Aspen Dental sought to move beyond digital experimentation and establish AI as a standard clinical support tool across its 1,100+ supported practices. Dentists needed better ways to communicate findings to patients and ensure consistent diagnostic review across a large, distributed network.

The Solution

Aspen Dental completed a nationwide rollout of VideaHealth's clinical AI platform across more than 1,100 supported practices in six weeks, following many months of piloting and preparation. The platform integrates into existing radiographic workflows, adding AI-supported annotations to radiographs to help dentists show and explain findings to patients with greater visual clarity.

Results

Pilot practices observed a 12% increase in treatment acceptance following implementation. Earlier patient intervention was also noted, with patients accepting care before oral health conditions progressed. The rollout reinforced clinical consistency across the network while preserving full dentist autonomy over diagnosis and treatment planning.

Key Takeaways

  • Intentional implementation requires extensive piloting and workflow integration before scaling, not just software deployment.
  • AI-supported visual annotations improve patient understanding and trust, directly driving treatment acceptance.
  • Clear boundaries between AI as a support tool and dentist clinical autonomy are critical for authentic adoption at scale.

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Details

Company Size
Enterprise
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published
Source link checked

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