Today, the health plan sees
- Consultation performed ← cost incurred
- ER used ← 77.3% was avoidable
- Hospitalization registered ← too late
- Consolidated cost ← the report arrives afterwards
Calculate in 30 seconds Enter your portfolio profile and see the cost that doesn't appear in the report — but bleeds every month.
Real values are calibrated in a technical meeting with your portfolio data.
Every health plan sees the moment the beneficiary enters the network. No one sees the moment before — when the cost could still have been avoided.
of pediatric ER visits are low-urgency or non-urgent
SBP · Rodrigues et al., 2024
of health plans closed 2024 with operational losses
ANS / Abramge, 2024–25
spent on pediatric respiratory hospitalizations in 2023, +52% vs 2019
Fiocruz · Observa Infância
Three layers. Without replacing the network. Without changing the channel the beneficiary already uses.
The beneficiary messages on WhatsApp. PMI operates in the background: collects info, classifies risk with clinical criteria, and guides the family with case-appropriate responses.
For plans that already have apps/portals/chatbots: PMI connects as the clinical engine in the background. The experience stays on the plan's channels, the intelligence is Kidzenith's.
Plans stop discovering the crisis when the ER is already crowded — and start receiving alerts 48–72h before. Territory-specific complaints, emerging seasonal patterns, pressure before the network feels it.
The PMI (Parental Medical Intelligence) methodology structures every conversation as an auditable clinical journey — from initial symptom to health plan loss management.
Receives doubt, identifies child, and measures family anxiety.
Classifies the journey type with clinical criteria.
Guides the proportional next step: monitor, clinic, UPA, ER, specialist.
24-72h later, verifies improvement and if guidance was followed.
Every journey becomes anonymous data. System improves every talk.
Technology with real scientific backing — not just generic healthcare AI.
CEIA/UFG is a national reference in applied AI with 1,100+ researchers and R$400M raised. Every clinical protocol supervised by practicing pediatricians, not just approved by an advisory board.
Center of Excellence in AI - UFG School of Medicine
Brazilian Enterprise for Industrial Research and Innovation
Protocol curation and clinical flow supervision
Anonymized data, auditable journeys, no exposed ID
We bring a projection calibrated to your plan's size. We leave the meeting with a defined pilot scope — or the data that justifies the next step.
Schedule technical meeting