Smart Workflow Command
Defragmentize your workflow with military-grade task intelligence. Use the RCMOS command center to reduce denial resolution time, enhance collector productivity, and prevent high-collar claim aging. Take your revenue operations to the next level with predictive alerts, smart task routing, and real-time nudges.
The Woes Of Disconnected RCM
The lack of intelligent revenue command can lead to a productivity crisis in enterprise healthcare establishments. The top challenges include:
Alert overload
Legacy systems do generate alerts about denials, rejections, and coding errors. But there is no prioritization. As a result, teams get busy finding high-value tasks, leading to a significant waste of working time.
Aging AR spikes:
A non-intelligent system assigns tasks without considering the staff's skills. This increases the likelihood of unqualified team members getting assigned high-value denials and rejections. The result: piled-up ARs aging above 45 days.
Productivity black holes:
This means an absence or lack of performance metrics. It results in managers finding it extremely difficult to spot bottlenecks within the processes and provide appropriate coaching.
Revenue leaks:
This one is intertwined with all the above challenges. When your systems are inefficient, they result in a high number of avoidable denials. The possible causes include siloed operations and a lack of real-time prevention.
These challenges keep health systems from growing beyond reactive task management, causing severe revenue losses.
Meet Your Revenue Cycle War Room
The RCMOS’ workflow command center is where intelligence becomes action. It’s a dynamic hub that uses the system’s insights to prioritize tasks for all the staffers.
Role-Specific Command Dashboards
The workflow command uses the system’s AI and operational data to create customizable dashboards for each role. The factors it analyzes include workflow patterns, user permissions, and relevant KPIs. The examples include specialized dashboards for billing clerks (whose job is to analyze task queues and coding alerts) and dashboards for the CFO (who monitors cash flow forecasts and denial trends).
Predictive Alert Engine
This feature is a major upgrade over the basic notification system, which only issues somewhat obvious alerts. It is an AI-driven engine that uses the industry’s statistical data to identify looming threats. Its ML looks into historical denial patterns, payer behavior, and claim characteristics to flag high-risk transactions. And most importantly, it prescribes appropriate action.
Autonomous Task Routing
The role of this sub-engine is to assign tasks to optimal staffers. And for that, it uses three AI-weighted factors:
- Skill matching (e.g., assigning Medicare appeals to senior collectors with a success rate of over 85%)
- Workload balancing (capping active tasks per user to prevent burnout)
- Historical performance (comparing staffers’ performances and selecting the most appropriate one before assigning a high-value task)
Real-Time Collector Nudges
This feature is like an AI coach that uses micro-prompts to guide your workflows. Its guidance is hyper-contextual, meaning that it looks at the entire workflow and suggests the next best step in the form of a nudge. Here is how it works:
- Timing intelligence (e.g., a notification to call a payer at a specific time)
- Process optimization (e.g., suggesting the appropriate template for a particular type of appeal)
- Data-driven reminders (e.g., a reminder to update a patient’s insurance after a change in their medical record)
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Why Legacy Workflows Don’t Suffice
Capability
| Legacy Systems
| RCMOS Command
|
|---|---|---|
Real-Time AR Aging Mitigation
| (none) | Continuous monitoring |
Specialty-Specific Intelligence
| Static rules | 22 specialty AI models |
EHR-Embedded Workflows
| Bolt-on | Native Epic/Cerner |
Predictive Staff Optimization
| (none) | 30-day capacity forecasting |
Transform reactive chaos into proactive control with AltuMED’s smart workflow command.
