These dashboards enable a deeper, more thorough understanding of the new reimbursement model to be implemented on October 1, 2019. Demonstrating the impact of PDPM on your facility through various comparisons to RUG-IV as well as allowing multiple levels of simulations with real data enables the user to understand how changes on the MDS directly impact reimbursement through PDPM and how reimbursement under PDPM compares to today's RUG-IV methodology.

See more about the PDPM-Specific Dashboard Modules.

Using data science principles, we analyze and model the patient population on a facility level to enable predictability relative to patient readmission risk. By identifying those characteristics associated with readmit patients in your facility, we can help you identify those at a higher risk upon admission and therefore potentially lower the overall readmission rate which could lead to better incentive payment multipliers. 

By integrating with the client's time-keeping software, we can provide daily views of staffing levels across all staff types, monitor for days without RN coverage, and compare to thresholds for star ratings in real-time.

Using CMS provided data, visualize and track your readmit patient population characteristics to determine the clinical areas associated with higher readmit rates and track these over time to determine if clinical intervention has an impact. Monitor your readmissions rate and determine the impact on incentive payments.

Using MDS-related data, we can provide more near real-time monitoring of a patient population to "flag" those patients that have a high probability of being included in the CMS quality measures numerator. Providing this earlier can initiate actionable intervention that might reduce the number of patients who fall within any particular quality measure category

A compilation of CMS publicly available data integrated into one location and allowing cross-facility comparisons for all star ratings, health inspections, staffing, and quality measures. Compare facility level scores with state and national data and view trends over time. Simulate staffing levels and evaluate necessary staffing levels for 5 star ratings in the staffing simulator.