Overview

Healfirst Group, a healthcare service provider firm, wanted a real-time reporting system that could monitor key operational metrics, predict trends, and make quicker, insights-driven decisions. Bacancy’s team of developers presented the client with a unified platform for multiple predictive models served by model infrastructure combined with interactive Tableau-based dashboards. The provided solution will automate data consolidation and provide actionable insights in real time, thus allowing leadership to track performance efficiently, identify potential risks, and optimize resource utilization.

Technical Stack

  • Python
  • TensorFlow
  • FastAPI
  • Tableau
  • PostgreSQ
  • Docker

    • Industry

    Healthcare

  • region

    • Region

    USA

  • project-size

    • Project Size

    Non- Disclosable

Highlights

Real-time dashboards with actionable healthcare metrics

Predictive models for patient volume and operational forecasting

Reduced reporting time by 50% with automated data consolidation

Interactive Tableau dashboards for executive and operational teams

Challenges & Solutions

Disconnected Data Sources and Slow Reporting

  • Solution: Bacancy integrated a host of data sources, including operational databases and spreadsheets, into a single central warehouse. Automated ETL pipelines constantly cleaned and standardized data for accurate and timely reporting. Since it eliminates manual consolidation, it provides the team with real-time access and presents insights efficiently.

Lack of Predictive Knowledge

  • Solution: Designed predictive models with Python and TensorFlow for forecasting patient volumes, staffing needs, and operational bottlenecks. Serving these models with FastAPI yielded real-time predictions to be used in daily decision-making. Leadership can now proactively plan and optimize resources based on reliable forecasts.

Non-interactive, Static Reporting

  • Solution: Bacancy’s Tableau developers designed Tableau dashboards to reimagine interactive, mobile-friendly dashboard access to key metrics. Users can drill down, filter, and analyze data dynamically, quickly identifying trends and patterns to support informed executive and managerial decisions without relying on static reports.

Scaling Model Infrastructure for Real-Time Predictions

  • Solution: The solution included setting up a scalable containerized infrastructure using Docker and AWS that efficiently handled real-time prediction requests. Monitoring and automated failover ensure the high availability of the platform, allowing it to provide predictive insights seamlessly without delays or downtime.

Core Features

  • Predictive models that forecast operational trends
  • Centralized automated data pipelines and ETL processes
  • Drill-down and real-time access to Tableau dashboards
  • Real-time notifications and reporting for healthcare operations
  • no.-of-resources

    • 6

    No. of Resources

  • time-frame

    • Time Frame

    March 2025 - October 2025

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