Success Stories

LACOE COVID-19 Data Visualization Tool

LACOE COVID-19 Data Visualization Tool

IHI built a real-time, AI-powered dashboard for LACOE to track COVID-19’s impact on students and schools. The tool unified statewide data, enabled predictive insights, and improved decision-making for resource allocation and student support.

Overview

The Los Angeles County Office of Education (LACOE) required an AI-powered data visualization platform to analyze and respond to COVID-19’s impact on education. Decision-makers needed a centralized tool to track student wellness, learning loss, and community health trends, ensuring data-driven resource allocation.

IHI developed a geospatial dashboard powered by AI and predictive analytics, enabling real-time decision-making for school districts and statewide education policymakers.

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Client

Sector

Education

ProjectType

B2C

Services Provided

==The Challenge==

LACOE faced critical challenges in addressing the COVID-19 crisis:

  • Fragmented Data Sources: Information on student wellness, school closures, and pandemic trends was scattered across multiple agencies and databases.
  • Lack of Real-Time Decision Insights: Educators lacked AI-driven forecasting models to predict learning loss, attendance trends, and student support needs.
  • Inefficiencies in Resource Allocation: Without a centralized analytics dashboard, funding and interventions were not strategically distributed.‍
  • Geospatial Blind Spots: Decision-makers needed GIS-integrated insights to map infection rates and educational disruption by region.

==The Solution==

IHI developed a geospatial, AI-powered COVID-19 impact dashboard that provided real-time analytics, predictive modeling, and visual data intelligence.

Key Features Implemented:

  • ‍AI-Driven Geospatial Mapping – Integrated real-time COVID-19 case data with school closures and district-specific learning loss metrics.‍
  • Predictive Analytics for Student Performance – Modeled future trends to anticipate learning recovery needs and optimize interventions.‍
  • Customizable Data Layers & Role-Based Access – Enabled policymakers, educators, and administrators to filter and analyze data relevant to their roles.‍
  • Automated Funding Allocation Insights – Provided data-backed recommendations for distributing state and federal pandemic relief funding.‍
  • Secure, Cloud-Based Infrastructure – Hosted on a scalable cloud environment, ensuring high availability and accessibility across agencies.

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==The Outcome==

The LACOE COVID-19 Data Visualization Tool delivered significant improvements in decision-making, funding distribution, and student wellness tracking:

  • ‍40% faster data analysis turnaround, allowing for quicker policy responses and intervention planning.
  • Enhanced visibility into learning loss trends, improving support program targeting.
  • ‍Increased funding efficiency, ensuring resources reached high-impact areas based on real-time needs.
  • ‍Seamless data integration, unifying statewide pandemic data for education stakeholders.