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Process IntelligenceJanus Health

Process Intelligence empowers revenue cycle leaders to transform operational performance. By combining our proprietary process mining technology with AI-driven insights, Process Intelligence delivers unparalleled visibility into workflow inefficiencies across teams and systems.

Vendor

Vendor

Janus Health

Company Website

Company Website

Product details

Process Intelligence by Janus Health Technologies is an AI-driven process mining platform designed to transform operational performance across the revenue cycle. It combines proprietary process mining technology with real-time insights to deliver unmatched visibility into workflow inefficiencies across teams and systems. The platform empowers healthcare leaders to make data-backed decisions that result in faster payments, reduced write-offs, improved staff productivity, and measurable cost savings—all within one intuitive interface.

Features

  • Dynamic Process Mapping: Visualize workflows in real time with maps that update dynamically to reflect current operational conditions.
  • Workflow Comparison: Compare snapshots over time to measure performance and identify areas for improvement.
  • Customizable Filters: Drill into specific claim types or workflow segments for targeted analysis.
  • Optimal Path Recommendations: Leverage AI to identify the most efficient workflows and automation opportunities based on actual performance data.
  • Operational Intelligence: Gain insights into team behavior, inefficiencies, and bottlenecks across systems.
  • Scalable Analysis: Analyze thousands of account records to uncover patterns and inconsistencies in workflow execution.

Benefits

  • Improved Staff Productivity: Reduce unnecessary account touches and streamline team workflows.
  • Faster Payments: Optimize processes to accelerate claim resolution and reimbursement.
  • Reduced Write-Offs: Identify and correct inefficiencies that lead to denials and lost revenue.
  • Measurable Time Savings: Example: One pilot customer regained 3,150 hours annually by implementing a single process change.
  • Data-Driven Decision Making: Use real performance data to guide operational improvements.
  • Enhanced Visibility: Understand how workflows vary across users and systems to standardize best practices.