Population health
Identify recurring concerns, access barriers, changes from baseline, language needs, and cohorts requiring added support.
Data & evidence
Mae transforms caregiver conversations, a child's longitudinal history, and authorized clinical information into structured pediatric intelligence.
The pediatric digital twin
Mae continuously connects parent observations, symptoms, medications, prior episodes, clinical records, recommended actions, and measured outcomes. The result is a child-specific intelligence layer that becomes more useful over time.
Explore a Digital Twin pilotData analytics
Mae can combine caregiver-reported information with clinical, claims, utilization, and social-context data to reveal patterns, inequities, and opportunities for measurable improvement.
Identify recurring concerns, access barriers, changes from baseline, language needs, and cohorts requiring added support.
Measure engagement, recommended actions, care-seeking patterns, avoidable utilization, follow-through, and outcomes.
Connect pediatric support before care with cost, quality, experience, and utilization measures.
Support focus studies and external quality review with evidence on rural access, language barriers, health literacy, and how families act on guidance.
From caregiver voice to actionable evidence
Most pediatric health data begins when a child enters the healthcare system. Mae begins earlier, when a caregiver first notices that something has changed.
Families gain clearer guidance. Providers receive better information before the visit. Healthcare organizations gain measurable evidence about access, care decisions, outcomes, and avoidable utilization.
Each interaction becomes part of a child-specific longitudinal record that can help families and care teams recognize meaningful changes over time.
Connecting caregiver and clinical data
With appropriate authorization and partner integration, Mae can incorporate EHR records, C-CDA documents, FHIR-enabled systems, medication and allergy histories, diagnoses, immunizations, procedures, laboratory results, prior caregiver conversations, reported outcomes, and partner-supplied encounter and utilization data.
Mae does not simply display information. Mae organizes it around the child's current situation, identifies relevant history, and shows the evidence supporting the recommended next step.
Mae's evidence engine
Mae follows the pediatric journey from the caregiver's first concern through the care decision, provider handoff, follow-through, and outcome.
Mae captures what the caregiver is seeing, hearing, and experiencing between clinical visits.
Observations become time-stamped, child-specific information: onset, severity, duration, change from baseline, relevant history, and actions already taken.
When authorized and available, Mae combines caregiver-reported information with relevant EHR and C-CDA data.
Mae helps clarify whether the next step is reassurance and monitoring, routine care, prompt clinical contact, or urgent escalation.
Mae produces a concise, evidence-supported summary of what happened, what changed, and why the family is seeking care.
Mae follows the journey to understand what action was taken, what care was received, and whether unnecessary or delayed utilization may have been avoided.
Data solutions for healthcare organizations
Mae can help FQHCs, Medicaid organizations, rural health providers, employers, and value-based care partners understand care beyond traditional healthcare encounters.
Care management & population health
Quality & performance measurement
Value-based care analytics
Rural health & health equity
Mae gives rural and underserved families a voice-first way to communicate concerns in more than 55 languages.
From fee-for-service to value-based care
Value-based care requires evidence that families engaged, risks were recognized, decisions improved, appropriate care followed, outcomes changed, and avoidable cost was reduced. Mae's Evidence Engine connects those steps.
Track engagement, follow-through, care access, experience, escalation safety, and outcomes.
Evaluate changes in avoidable emergency, urgent-care, clinic, and follow-up utilization.
Measure rural access, language needs, health-literacy barriers, and differences in follow-through.
Translate measured outcomes into ROI, shared savings, quality incentives, and sustainable PMPM partnerships.
Mae helps prove whether pediatric support created value.Connect better care decisions to quality, utilization, outcomes, and total cost.
Build the value caseDesigned for responsible data use
Mae works with each healthcare partner to establish appropriate requirements for data exchange, access, governance, clinical review, and evaluation.
Birth through age 12 · childhood between the visits
Mae helps capture what happens during that missing time. By connecting caregiver observations, longitudinal child history, authorized clinical data, care decisions, and outcomes, Mae creates a pediatric evidence layer that helps families make better decisions and helps healthcare organizations understand whether care is becoming more accessible, timely, equitable, and effective.
Turn pediatric data into better decisions
Mae provides the evidence healthcare organizations need to improve care, measure outcomes, and support sustainable value-based programs.
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