Meet Kidzenith for Health Directors · Carriers · Self-management

Your health plan is already paying for avoidable pediatric costs. How much, exactly?

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.

Mother and daughter hugging
— YOUR PORTFOLIO - 4 VARIABLES
Total Beneficiaries LIFE
80,000
1k 250k 500k
Avg. PA Cost ANS TISS 2023
R$ 450
R$ 250 R$ 575 R$ 900
Pediatric % (0–14 years) BR AVG: 18%
18%
8% 21% 35%
Avoidable ER Visits PILOT: 20-35%
25%
15% 27% 40%
The invisible problem

The cost that doesn't appear in the report, but bleeds every month.

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.

01

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
02

With Kidzenith, you see

  • The doubt that would become an unnecessary visit
  • Parental anxiety that would become an avoidable ER visit
  • The symptom that could still be managed at home
  • The seasonal pattern that will pressure the network next week
77.3%

of pediatric ER visits are low-urgency or non-urgent

SBP · Rodrigues et al., 2024

44%

of health plans closed 2024 with operational losses

ANS / Abramge, 2024–25

154M

spent on pediatric respiratory hospitalizations in 2023, +52% vs 2019

Fiocruz · Observa Infância

How it works

From family WhatsApp to the health plan's Predictive Radar.

Three layers. Without replacing the network. Without changing the channel the beneficiary already uses.

Kidzenith Health WPP

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.

NO APP · ACTIVE IN DAYS

Kidzenith Health API

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.

FRICTIONLESS INTEGRATION

Predictive Radar

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.

BEFORE THE CLAIM, NOT AFTER

For the family, a conversation. For the system, five auditable clinical steps.

The PMI (Parental Medical Intelligence) methodology structures every conversation as an auditable clinical journey — from initial symptom to health plan loss management.

01

Welcome

Receives doubt, identifies child, and measures family anxiety.

02

Understand

Classifies the journey type with clinical criteria.

03

Direct

Guides the proportional next step: monitor, clinic, UPA, ER, specialist.

04

Validate

24-72h later, verifies improvement and if guidance was followed.

05

Learn

Every journey becomes anonymous data. System improves every talk.

Conversation becomes data. Data becomes guidance. Guidance becomes outcome.
Outcome becomes loss management.

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.

Research Partnership
CEIA — UFG

Center of Excellence in AI - UFG School of Medicine

Industrial Innovation
EMBRAPII

Brazilian Enterprise for Industrial Research and Innovation

Clinical Council
Practicing Pediatricians

Protocol curation and clinical flow supervision

Compliance
Native LGPD

Anonymized data, auditable journeys, no exposed ID

Thirty minutes to see what your pediatric portfolio doesn't see today.

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