Datatheta

AI/ML/GenAIServices12 weeksDuration$10,000 - $25,000Project cost

Situation & Objective A healthcare organization needed daily operational insights related to hospital performance, including patient admissions, discharges, bed occupancy, and claim volumes. Data required for reporting was spread across multiple transactional systems and refreshed through manual or semi-automated processes. This resulted in: • Delayed operational reports • Inconsistent metrics across departments • Limited visibility for leadership to make timely decisions Objective: To build a reliable analytics platform that delivers accurate, near real-time operational reports and enables healthcare leadership and operations teams to monitor key performance metrics efficiently. Approach • Integrated operational data from source systems such as admissions, billing, and claims platforms into a centralized data platform. • Built automated data pipelines to ingest and transform data on a scheduled basis. • Modeled analytics-ready datasets, including fact tables for admissions and claims and dimension tables for time, facility, and patient. • Optimized data transformations to support frequent refresh cycles. • Enabled standardized metrics and definitions to ensure consistency across reports. • Supported downstream BI tools by providing clean, well-structured datasets. Impact • Reduced report generation time from several hours to under 30 minutes • Improved data refresh frequency from once daily to every 1–2 hours • Increased accuracy and consistency of operational metrics by approximately 25–30% • Enabled leadership to identify operational bottlenecks faster, improving response time by ~20% • Reduced manual reporting effort by nearly 50% Conclusion The healthcare analytics solution provided timely and consistent operational visibility across the organization. By centralizing data and enabling frequent, automated refreshes, the platform improved decision-making speed, reporting reliability, and operational efficiency, helping healthcare teams respond more effectively to daily operational demands.