BrazilHealthcare and life sciences2025 – ongoingOdontoPrev
Predictive models and radiograph analysis across the dental plan business
OdontoPrev used predictive models and X-ray image analysis to target prevention and speed treatment approvals
Problem
The Brazilian dental plan operator wanted to lower its loss ratio, the share of premiums paid out in claims. It also wanted to move members from costly curative care toward prevention.
Approach
The company built AI tools that estimate which members are likely to need complex treatment, how they will use their plan and who may cancel. Computer vision reads images such as X-rays to find oral anomalies faster, which speeds up authorisation of treatments a dentist recommends. A manager said the predictions let the company target oral-hygiene campaigns and offer tailored proposals to members at risk of leaving.
Results
No published figures
Takeaway
OdontoPrev applied AI at several points of the plan, from prevention to claims approval. It gave no results, so the effect on its loss ratio is not known.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and qualityCustomer service
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLComputer vision
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Trade magazine report based on a systems development manager at OdontoPrev. It describes models for treatment propensity, plan use and cancellation, and image analysis of X-rays to speed authorisations. It cites more than eight million members in Brazil and gives no performance figures.
Full details are in the original sources.