Case Studies
Make an Impact: Partner Health Analytics Platform
Transforming Health Data into Strategic Insights with AI-Accelerated Development
The Challenge
Make an Impact (MAI) brings together 400 community-based organizations (CBOs) in the non-profit sector. The Child Center of NY, MAI's anchor organization, had already demonstrated strong data capabilities through PowerBI dashboards built from their Welligent EHR data and other data sources.
MAI's leadership recognized an opportunity to extend these capabilities across their network and create new partnership models:
- Scaling Success: Valuable processes and insights developed at The Child Center could benefit the entire CBO network with the right infrastructure
- Multi-System Integration: CBOs use various EHR and data systems with different integration approaches, requiring flexible data extraction capabilities
- Infrastructure Vision: Building multi-tenant architecture to serve multiple organizations with varying needs and access levels
MAI sought a platform that could scale their data capabilities while establishing sustainable funding through strategic partnerships.
The Aboard Solution
Using Aboard's AI-accelerated platform, we built the Partner Health Analytics (PHA) application– a shared data platform which surfaces key metrics and actionable insights for CBOs, and aggregates deidentified, benchmarking data to drive efficiency and impact for all partner organizations.
What We Delivered
A platform serving The Child Center plus three pilot CBOs with comprehensive operational dashboards, automated partner onboarding, AI-generated insights, and HIPAA-compliant infrastructure supporting hundreds of organizations with minimal incremental development.
Key Technical Achievements
- Enterprise Multi-Tenant Architecture with organization-level data isolation and automated provisioning
- Flexible EHR Integration Framework accommodating multiple systems including various data extraction methods
- Advanced Analytics Engine with cross-organizational benchmarking, real-time dashboards, and AI-powered conversational querying
Aboard's AI accelerated the entire lifecycle – from analyzing EHR structures to generating dashboard components to implementing isolation patterns – compressing 18-24 months of traditional development into 6 months.
Results & Impacts
AI-Accelerated Development
Four organizations gained sophisticated analytics with automated trend identification, pattern detection, and real-time insights.
Rapid Validation
CBOs can compare performance against anonymized peer data, enabling better operational decisions across the network.
Replicable Pattern
Multi-tenant infrastructure enables rapid partner onboarding. The platform is positioned to serve the broader non-profit sector.
Timeline
6 months from kickoff to production with four live partners – half the time traditional development would require.
Key Takeaways
AI-Accelerated Development
AI generated tenant isolation patterns, integration pipelines, and dashboard components, eliminating months of repetitive coding while maintaining enterprise standards.
Rapid Validation
Launching with four organizations provided real-world multi-tenant validation before scaling, de-risking expansion while proving the business model.
Replicable Pattern
Organizations with valuable data across fragmented networks can rapidly build platform businesses that transform them from service providers to infrastructure players.
© Aboard 2026. All rights reserved
Case Studies
Make an Impact: Partner Health Analytics Platform
Transforming Health Data into Strategic Insights with AI-Accelerated Development
The Challenge
Make an Impact (MAI) brings together 400 community-based organizations (CBOs) in the non-profit sector. The Child Center of NY, MAI's anchor organization, had already demonstrated strong data capabilities through PowerBI dashboards built from their Welligent EHR data and other data sources.
MAI's leadership recognized an opportunity to extend these capabilities across their network and create new partnership models:
- Scaling Success: Valuable processes and insights developed at The Child Center could benefit the entire CBO network with the right infrastructure
- Multi-System Integration: CBOs use various EHR and data systems with different integration approaches, requiring flexible data extraction capabilities
- Infrastructure Vision: Building multi-tenant architecture to serve multiple organizations with varying needs and access levels
MAI sought a platform that could scale their data capabilities while establishing sustainable funding through strategic partnerships.
The Aboard Solution
Using Aboard's AI-accelerated platform, we built the Partner Health Analytics (PHA) application– a shared data platform which surfaces key metrics and actionable insights for CBOs, and aggregates deidentified, benchmarking data to drive efficiency and impact for all partner organizations.
What We Delivered
A platform serving The Child Center plus three pilot CBOs with comprehensive operational dashboards, automated partner onboarding, AI-generated insights, and HIPAA-compliant infrastructure supporting hundreds of organizations with minimal incremental development.
Key Technical Achievements
- Enterprise Multi-Tenant Architecture with organization-level data isolation and automated provisioning
- Flexible EHR Integration Framework accommodating multiple systems including various data extraction methods
- Advanced Analytics Engine with cross-organizational benchmarking, real-time dashboards, and AI-powered conversational querying
Aboard's AI accelerated the entire lifecycle – from analyzing EHR structures to generating dashboard components to implementing isolation patterns – compressing 18-24 months of traditional development into 6 months.
Results & Impacts
Enhanced Analytics Capabilities
Four organizations gained sophisticated analytics with automated trend identification, pattern detection, and real-time insights.
Industry-First Benchmarking
CBOs can compare performance against anonymized peer data, enabling better operational decisions across the network.
Proven Scalability
Multi-tenant infrastructure enables rapid partner onboarding. The platform is positioned to serve the broader non-profit sector.
Timeline
6 months from kickoff to production with four live partners – half the time traditional development would require.
Key Takeaways
AI-Accelerated Development
AI generated tenant isolation patterns, integration pipelines, and dashboard components, eliminating months of repetitive coding while maintaining enterprise standards.
Rapid Validation
Launching with four organizations provided real-world multi-tenant validation before scaling, de-risking expansion while proving the business model.
Replicable Pattern
Organizations with valuable data across fragmented networks can rapidly build platform businesses that transform them from service providers to infrastructure players.
© Aboard 2026. All rights reserved
Case Studies
Make an Impact: Partner Health Analytics Platform
Transforming Health Data into Strategic Insights with AI-Accelerated Development
The Challenge
Make an Impact (MAI) brings together 400 community-based organizations (CBOs) in the non-profit sector. The Child Center of NY, MAI's anchor organization, had already demonstrated strong data capabilities through PowerBI dashboards built from their Welligent EHR data and other data sources.
MAI's leadership recognized an opportunity to extend these capabilities across their network and create new partnership models:
- Scaling Success: Valuable processes and insights developed at The Child Center could benefit the entire CBO network with the right infrastructure
- Multi-System Integration: CBOs use various EHR and data systems with different integration approaches, requiring flexible data extraction capabilities
- Infrastructure Vision: Building multi-tenant architecture to serve multiple organizations with varying needs and access levels
MAI sought a platform that could scale their data capabilities while establishing sustainable funding through strategic partnerships.
The Aboard Solution
Using Aboard's AI-accelerated platform, we built the Partner Health Analytics (PHA) application– a shared data platform which surfaces key metrics and actionable insights for CBOs, and aggregates deidentified, benchmarking data to drive efficiency and impact for all partner organizations.
What We Delivered
A platform serving The Child Center plus three pilot CBOs with comprehensive operational dashboards, automated partner onboarding, AI-generated insights, and HIPAA-compliant infrastructure supporting hundreds of organizations with minimal incremental development.
Key Technical Achievements
- Enterprise Multi-Tenant Architecture with organization-level data isolation and automated provisioning
- Flexible EHR Integration Framework accommodating multiple systems including various data extraction methods
- Advanced Analytics Engine with cross-organizational benchmarking, real-time dashboards, and AI-powered conversational querying
Aboard's AI accelerated the entire lifecycle – from analyzing EHR structures to generating dashboard components to implementing isolation patterns – compressing 18-24 months of traditional development into 6 months.
Results & Impacts
Enhanced Analytics Capabilities
Four organizations gained sophisticated analytics with automated trend identification, pattern detection, and real-time insights.
Industry-First Benchmarking
CBOs can compare performance against anonymized peer data, enabling better operational decisions across the network.
Proven Scalability
Multi-tenant infrastructure enables rapid partner onboarding. The platform is positioned to serve the broader non-profit sector.
Timeline
6 months from kickoff to production with four live partners – half the time traditional development would require.
Key Takeaways
AI-Accelerated Development
AI generated tenant isolation patterns, integration pipelines, and dashboard components, eliminating months of repetitive coding while maintaining enterprise standards.
Rapid Validation
Launching with four organizations provided real-world multi-tenant validation before scaling, de-risking expansion while proving the business model.
Replicable Pattern
Organizations with valuable data across fragmented networks can rapidly build platform businesses that transform them from service providers to infrastructure players.
© Aboard 2026. All rights reserved