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AIaaS Predictive Analytics Engine for Automated Healthcare Reporting

AIaaS Predictive Analytics Engine for Automated Healthcare Reporting

A multi-location healthcare network based in Boston, USA, managed large volumes of patient, appointment, billing, and operational data across 22 clinics. Their analysts manually generated monthly reports using exported CSVs, which caused delays and inconsistencies. To modernize analytics and eliminate manual reporting, the organization engaged our engineering team to deploy an AIaaS predictive analytics platform capable of generating automated insights, trend reports, and forecast models on demand.

Image representing case study

80%

Reduction in reporting effort

99%

Uptime for AIaaS analytics API

3X

Faster availability of monthly performance insights

About  

Problem Statement

  • Monthly reports required manual data extraction from multiple EHR systems.
  • Analysts spent hours validating metrics due to inconsistent data formats.
  • No automated workflows existed for forecasting appointment load or staffing.
  • Existing BI dashboards lacked AI-driven predictions and anomaly insights.
  • Data pipelines frequently broke, increasing turnaround time.

Industry: Healthcare

Services: AI-as-a-Service (AIaaS), Predictive Analytics, Automation

Region: United States

Our Tech Stack

Tech stack we used

Solution Approach

  • Consolidated all EHR, appointment, and billing datasets into BigQuery using Fivetran connectors.
  • Built forecasting models in Prophet for patient volume, appointment demand, and resource utilization.
  • Designed scheduled ingestion and cleanup workflows in Apache Airflow ensuring consistent data freshness.
  • Developed an AIaaS analytics API using Cloud Functions that generated reports on demand for each clinic.
  • Integrated Looker dashboards displaying predictive insights, anomalies, and operational KPIs.
  • Containerized the service with Docker, allowing scaling across multiple regional data centers.
  • Implemented pipeline error monitoring with Cloud Logging, ensuring high reliability.

Benefits

  • Reporting turnaround time decreased by 80%.
  • All 22 clinics accessed real-time AI-driven analytics without manual effort.
  • Forecasting improved appointment and staffing planning.
  • Eliminated dependency on spreadsheets and manual data stitching.
  • Standardized predictive intelligence across the entire healthcare network.

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