Determine true utilization cost with our flagship hospital decision support solution

Gain clear visibility into key volume, cost and profitability measures across the continuum of care

As healthcare continues to shift to more data-driven decision making, having clear visibility into key volume, cost and profitability measures across the continuum of care will become increasingly important for both long-range and tactical planning activities.

“We have used ADS at CHOMP for more than 25 years. Periodically we’ll demo other systems, but we always come back to the heart of what we appreciate about ADS. The system is just a work horse that does what we need it to do. It provides the flexibility of creating our own user-defined fields rather than having to pay to have changes made. Continued improvement over the years has allowed it to consistently meet our needs as the industry changes.”

Tiffany Allen, Montage Health/CHOMP (Community Hospital of the Monterey Peninsula)

Financial Support Benefits

A truly effective hospital decision support solution meets these needs by combining workflow tools, business intelligence and services that tangibly help you identify performance gaps and pinpoint meaningful areas for clinical and operational healthcare improvement.

The financial savings realized by determining the true cost of care using Harris Affinity Decision Support (ADS) will give you the means to reinvest in your hospital or healthcare organization – thereby saving time and improving efficiencies that will ultimately help to improve patient care.

ADS integrates disparate applications together to enhance daily operational decisions. ADS combines budget, cost accounting, contract management, population health and business intelligence functionality. It incorporates existing relative value units (RVU) and history during conversion while simplifying ongoing updates using online RVU worksheets and web-based modelling features. ADS enables your healthcare organization to model a variety of scenarios so that you can evaluate multiple decision paths.