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.

The application streamlines medication reconciliation workflows for both patient admission and discharge. This platform synthesizes critical medication data from various Epic EHR sources, processes it through an AI model, and generates a comprehensive, reconciled "Gold Standard Output" document. The solution aims to enhance accuracy, reduce manual effort, and ensure seamless integration with existing hospital systems, ultimately improving patient safety and doctor efficiency.

This project involves creating analytical reports and dashboards for retail sales and healthcare metrics. The store sales report tracks sales performance using key metrics such as total sales, targets, and period-based sales comparisons, with filters for date and location. The repair summary report provides insights into repair activities with visual charts and multiple filters. The top sales report highlights salesperson performance, while the top sellers report lists best-selling products. In healthcare, dashboards focus on patient-related metrics, engagement, and group analysis, offering insights into appointments, measures, and patient interactions with various filtering options for effective data analysis and decision-making.