• Hospitals and health systems face staggering staff shortages across the revenue cycle, disrupting collections and ultimately their capacity to treat patients. There’s a clear imperative for revenue cycle leaders to do more with fewer people, but spotting workflow inefficiencies across a distributed workforce and IT landscape is an enormous challenge. Add to that a lack of in-house expertise to analyze and prioritize potential interventions, and leaders are tasked with the impossible.
• Part of Janus Health’s Operational Intelligence suite, Process Intelligence uses our proprietary process mining tool, Observe, to measure the complexities of your workflows and then applies AI to that data, identifying and quantifying areas for improvement. Process Intelligence surfaces those insights in a user-friendly application, empowering revenue cycle leaders to confidently recognize, implement, and measure meaningful process changes.

Janus Health is fundamentally transforming the future of revenue cycle work with our groundbreaking end-to-end artificial intelligence platform. Our rich history in healthcare and technology allows us to instinctively understand what it is about revenue cycle management that creates significant challenges for healthcare organizations. We’ve developed Operational Intelligence and Intelligent Automation solutions to aid revenue cycle teams in optimizing their workflows, so they can do more with less and ultimately collect more cash.

Process Intelligence captures actions taken both in and outside the EHR, providing a more complete picture of workflows across systems and teams.

Traditionally health systems employed over-the-shoulder consultants for this workflow data. Process Intelligence is superior in a few ways:

• It’s unobtrusive and unlikely to affect user behavior, leading to a more accurate representation of workflows and activities.
• It’s deployable to all system-owned, Windows machines, regardless of work location.
• It’s measuring today and for as long as it’s installed, allowing you to compare time periods and measure the effectiveness of interventions.