Streamlining Physician & Patient Operations

A leading American healthcare company and national hospital-based physician group faced significant operational challenges. By implementing AI-driven demand forecasting and resource optimization, they enhanced clinician efficiency and patient care.

Healthcare

Artificial Intelligence & Machine Learning
Business Process Automation & Transformation

Business Issue

The client's system, which supported more than 10,000 clinicians, faced several issues. Demand forecasting was inaccurate and inconsistent across facilities, hindering planning and availability. The forecasts lacked hourly granularity, and IT systems were ad-hoc, error-prone, labor-intensive, and expensive to maintain. Additionally, inconsistent system integration hampered scalability and visibility of operations.

Solution

The solution was rolled out for Radiology and Emergency Medicine service lines. Machine Learning (ML) algorithms were designed to predict future volume requirements by the hour for specific provider service lines and facilities. Custom analysis tools used the ML output to predict future resource requirements, optimizing staffing levels.

Legacy enterprise systems were integrated to access a broad set of historical data. The system quickly adapted to recent demand changes, considering past short and long-term fluctuations, thus enhancing data access and resource optimization.

Outcomes

Disparate processes were streamlined into an agile, consistent, accurate, and user-friendly system. Inefficiencies due to manual, laborious efforts were removed, and easy-to-use solution interfaces supported quick onboarding, eliminating the need for elaborate training.

The system accurately predicted fluctuating demand scenarios, providing real-time insights during peak Covid times. Improved reporting with better visual and graphical formats captured gaps in future planning, showing future capacity and helping to identify the optimal mix of clinicians to meet demand.

Related Client Work

Check out more of our work with the world’s most ambitious brands.