AI-Powered Analytics for Healthcare Provider

Reduced operational costs by 30% with predictive analytics solution

Healthcare Completed: June 2024

Overview

A major regional healthcare provider was facing challenges with rising operational costs and inefficiencies in resource allocation. Their existing systems lacked predictive capabilities, making it difficult to anticipate patient volumes and optimize staff scheduling.

Dhansol was engaged to implement an AI-powered analytics solution that would leverage historical data to predict patient admissions and optimize resource allocation across their network of hospitals and clinics.

The Challenge

The healthcare provider was experiencing:

  • Overstaffing during low-volume periods leading to unnecessary labor costs
  • Understaffing during peak times resulting in decreased patient satisfaction
  • Inefficient allocation of medical supplies and equipment
  • Lack of visibility into future patient volumes

Their existing reporting systems were reactive rather than predictive, making it impossible to proactively address these challenges.

Our Solution

Dhansol implemented a comprehensive AI-powered predictive analytics platform that included:

Predictive Modeling

Machine learning models trained on 5 years of historical patient data to forecast daily admission rates with 92% accuracy.

Staff Optimization

Automated staff scheduling system that adjusts based on predicted patient volumes and required skill sets.

Resource Allocation

Dynamic inventory management that anticipates needs for medical supplies and equipment.

Real-time Dashboards

Interactive dashboards providing visibility into current and predicted operational metrics.

Implementation

The project was completed in three phases over 6 months:

Phase 1: Data Integration

2 months

Consolidated data from 12 different source systems into a unified data warehouse. Established data governance protocols and quality checks.

Phase 2: Model Development

3 months

Developed and trained predictive models using machine learning algorithms. Conducted extensive testing and validation with historical data.

Phase 3: Deployment & Training

1 month

Deployed the solution across all facilities. Conducted training sessions for administrators and department heads.

Results & Impact

The AI-powered analytics solution delivered significant improvements across multiple operational areas:

30%

Reduction in operational costs

92%

Accuracy in patient volume predictions

25%

Improvement in staff satisfaction scores

"Dhansol's predictive analytics solution has transformed how we manage our operations. We've been able to significantly reduce costs while improving patient care and staff satisfaction. The system pays for itself many times over."

Technologies Used

AWS AWS
Snowflake Snowflake
Power BI Power BI
Python Python
TensorFlow TensorFlow

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