CFO’s need a powerful predictive analytics algorithm to measure the net revenue impact of potential change. Our financial modeling does this not only at budget time but also in any season.

Predictive analytics enables you to weigh alternatives and different scenarios with confidence when considering what potential change will do. Here are a few examples of the things to model:

• Various changes in revenue drivers
• Service line volumes and profitability
• A new growth strategy
• A strategy to reconnect with patients who delayed care during the pandemic
• Building out the hospital digital platform
• The addition of new physicians for select service lines
• The impact of a change to the internal process
• The potential impact of market charge
• The addition of more Retail services
• An ‘Upstream Medicine’ initiative
• A new digital branding and marketing campaign

Robust predictive analytics are a critical tool for enhanced decision support.

See what ‘Q’ can do for you!