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Buildathon Track

AI for Healthcare Systems & Delivery

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70–80%
Deaths from NCDs
Reactive
Care Model
Fragmented
Patient Records
Siloed
Systems

70–80% of deaths in the Caribbean come from non-communicable diseases (NCDs) — primarily diabetes, hypertension, and related conditions.

Care is reactive. Specialist access is uneven. Patient records are fragmented. Systems operate in silos.

Patients still leave the region for treatment in Miami or London. Meanwhile, insurance models are built on outdated assumptions.

The problem is not capability.
It is coordination.

The Problem

Systems under pressure

The Caribbean is managing a growing NCD burden across distributed populations and fragmented infrastructure.

There is no coordination layer connecting detection, access, and treatment across the region.


Why This Track Exists

The opportunity

Small island systems operate under real constraints.

If healthcare coordination systems can function across fragmented island environments, they can function anywhere.

The Caribbean is the testbed.


What to Build

What to build

Focus on systems that coordinate care across the region, not isolated tools.

01

Pan-Caribbean Telemedicine Network

A shared specialist layer across all islands.

Build

  • Cross-island specialist marketplace
  • Teleconsultation infrastructure
  • Capacity-aware scheduling
  • Referral + routing system

Outcome

  • Access to specialists without leaving the region
  • Reduced reliance on care in Miami or London
  • Better utilization of regional medical talent
02

AI Chronic Disease Management (WhatsApp-first)

Continuous care for diabetes and hypertension at population scale.

Build

  • Daily monitoring (BP, glucose, medication)
  • AI coaching (diet, activity, adherence)
  • Alerts + escalation to clinicians
  • Integration with clinics and insurers

Outcome

  • Lower cost care at scale
  • Higher compliance
  • Direct reduction in NCD burden

Delivered through WhatsApp.

03

Early Detection & Risk Scoring Systems

Identify risk before disease progression.

Build

  • AI screening tools (mobile + clinic)
  • Population risk scoring models
  • Predictive alerts for health systems

Outcome

  • Earlier intervention
  • Reduced long-term healthcare costs
  • Improved outcomes
04

Telemedicine Triage & Routing Engine

Route patients based on need and system capacity.

Build

  • Symptom intake (chat or voice)
  • Severity classification
  • Real-time routing to care providers
  • Specialist availability mapping

Outcome

  • Reduced wait times
  • Better allocation of limited specialist capacity
05

Patient Record Interoperability Layer

A unified backbone for fragmented systems.

Build

  • Cross-island health record exchange
  • Longitudinal patient profiles
  • Consent + permissions infrastructure
  • APIs for providers and insurers

Outcome

  • Continuity of care across jurisdictions
  • Better clinical decision-making
  • Foundation for all other systems
06

Health System Coordination Dashboard

Real-time visibility across the region.

Build

  • Hospital capacity tracking
  • Medication and supply alerts
  • Telemedicine queue monitoring
  • Disease trend analytics

Outcome

  • System-wide coordination
  • Faster response to bottlenecks and shortages
  • Data-driven decision making
07

Caribbean Health Data Cooperative

Turn regional data into a structured asset.

Build

  • Consent-driven data collection
  • Anonymization + governance layer
  • Research access for pharma and institutions

Outcome

  • New revenue streams
  • Better public health insights
  • Global research partnerships
08

Digital-First Health Insurance Engine

Modernize risk pricing.

Build

  • Dynamic underwriting using real-time health data
  • Integration with wearables and health systems
  • Incentive models for preventive behavior

Outcome

  • More accurate pricing
  • Lower premiums for healthier users
  • Stronger insurer margins
09

Clinical Workflow & Capacity Optimization

Fix internal inefficiencies in care delivery.

Build

  • Staff and resource scheduling systems
  • Bed and equipment allocation
  • Patient flow optimization

Outcome

  • Reduced system strain
  • Increased throughput without new infrastructure

Live System

Healthcare coordination dashboard

Real-time health system alerts and AI-powered analysis. This is the kind of coordination layer teams will build.

Health System Alerts

Loading health alerts...

Healthcare Intelligence AI

Submit Health System Report


Data

Data layer

Teams will work with publicly available and ethically sourced data. The challenge is not access — it is coordination.

Relevant data includes:

Public health and epidemiological data
Disease prevalence and NCD statistics
Hospital and clinic capacity data
Demographic and population health data
Geographic access to healthcare facilities
Global health datasets and research data
Pharmaceutical supply chain data
Mental health service utilization data

Data may be sourced from ministries of health, multilateral institutions, and global public health databases.


How AI Works

AI is not replacing healthcare systems

It is improving coordination across them.

Teams may build systems that identify risk earlier through pattern detection and predictive modeling, route patients more efficiently based on need and available capacity, connect fragmented patient records into usable longitudinal views, support clinical triage and decision-making, and improve population-level health planning and resource allocation.

The goal is to shift from reactive care to coordinated, proactive systems.


If You Want to Win

Build a single integrated system

This becomes the front door to healthcare in the Caribbean.


Why This Matters

The Caribbean is the testbed

If healthcare coordination systems can function across fragmented island environments, they can function anywhere.

Apply to this track
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