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Gain insight into areas for process improvement, task prioritization and automation.
Automate key workflows to help ensure data integrity and enable clean claim submission.
Integrate AI and automation to improve claims processing and denials management.
Automate burdensome administrative tasks, saving time and reducing frustration.
Automate the process of logging in and navigating payer portals.
An end-to-end revenue cycle platform. Built by industry experts—specifically for healthcare.
The platform we’ve developed for health systems goes beyond a single point solution; it’s an integrated, end-to-end solution that touches use cases throughout the revenue cycle. That means that we have the tools to do it all—from collecting data on your processes and workflows, to identifying opportunities for efficiency, and ultimately applying interventions and automations.
The best part? It doesn’t end there. Once changes are applied, our platform continues to collect data so that we can continually partner to optimize your processes and implement automations.
Through the use of a simple-to-install desktop agent, we can capture data on all process related actions from your team, including data points from relevant applications that aren’t able to be captured today—allowing us to piece together complete workflows.
The data captured is processed via machine learning, and our technology identifies how work is being performed at the task level and pieces together the optimal path for each workflow. It is here that we can determine opportunities for retraining, process redesign, and automation.
Based on what we’ve learned, we begin to implement automations that will have the greatest impact. Our automations are reusable, and built in a componentized manner, which improves the speed to value, and lowers maintenance.
As adjustments are implemented, we measure and track the impact from those interventions to create a true continuous improvement engine.
Discover how you can collect more cash, accelerate receivables, and reduce your cost—with Janus.