Why Custom Software Development Is Better Than Off-The-Shelf Solutions

The goal of Innoid is to create a centralized, HIPAA-compliant healthcare data warehouse that unifies clinical and operational data from multiple systems. The platform standardizes structured, semi-structured, and unstructured inputs into a single repository, enabling advanced analytics, business intelligence, and AI-powered insights. It directly tackles the challenge of disconnected healthcare data sources, giving organizations the ability to make faster, evidence-based decisions.

To develop a FHIR EHR Builder Application that maps database data to FHIR server resources. This enables EHR systems to efficiently share, retrieve, and post healthcare data using standardized FHIR-compliant APIs. The system ensures seamless interoperability between healthcare applications, supporting EPIC and Allscripts EHR platforms.

This project delivers an integrated AI and analytics platform for the Foundation for Sickle Cell Disease Research (FSCDR). It connects ECW (eClinicalWorks) EHR data with advanced AI-based predictive models to identify high-risk patients, automate follow-ups, and streamline state grant reporting (CMO99, CMOAE Tasks 5–13).
The goal is to transform static EHR data into actionable insights — improving research visibility, compliance, and patient outcomes while cutting down manual reporting workloads. The solution supports predictive ER-risk modeling, AI-based outreach automation, and Power BI-driven compliance dashboards across FSCDR’s Centers of Excellence.