OptimAIzer: AI-enabled Population Health Management

What is OptimAIzer™

Artificial Intelligence enabled population health management

OptimAIzer™ is an AI-based solution designed to streamline the authorization processes, enhancing physician and nurse efficiency while reducing operational costs. It integrates seamlessly into existing systems, offering improved prediction accuracy and compliance.

0%

Of physician capacity unlocked for better utilization

~$0M

Saved in physician review time per 1 million lives

0%

Increased nurse efficiency

Group of care managers looking at data. Care management, predictive analytics, provider, clinicians

OptimAIzer™: Smarter Care Management

Enhance care management with predictive analytics and clinical insights, helping providers identify high-risk patients, refine care plans, and improve outcomes.

OptimAIzer™'s Decision Support uses an advanced ML model to recommend authorization decisions in real-time. It is trained on millions of prior authorization review data (structured and unstructured) and customized for each client

Key Benefits

OptimAIzer™ users have found:

Increased efficiency and productivity – Increases physician capacity by 50% and nurse capacity by 25%
Reduced cost- Every 1M lives managed generates an average savings of $4M in UM operations costs
Improved Turnaround – Improves review turnaround times, enhancing service delivery
Increased Compliance – Boosts compliance, ensuring adherence to standards and regulations

Healthcare providers analyzing artificial intelligence platform. OptimAIzer solution, provider efficiency, care management

Key Features

AI-based solution gives real-time decision recommendations for approval or denial prior to physician review
Customized to accept approval only or approval and denial decisions
Saves physicians and nurses time through review automation
Integrates seamlessly into the current solution and operations model
Utilizes AI/ML to streamline the decision making. Customized for each client specific data
Efficient operational workflows by enhancing overall turnaround time for review processes
Tailored to individual client needs based on prior authorization datasets

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Bengaluru, India

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