Improved care and better, more efficient practices

As healthcare becomes a bigger and bigger part of the national and world economy, competitive and price pressures are mounting. At the same time, customers are more demanding of their experience as patients, both before, during, and after treatment. Add to that dizzying regulatory uncertainties, and healthcare companies – both providers and insurers – are facing significant challenges. Data science can help healthcare companies keep abreast of these changes by helping to ensure optimal care experiences for patients and efficient operations behind-the-scenes.

Prevent fraudulent claims

Get the right payments to the right people for the right services. Prevent anyone from cheating the system and driving up costs.

Learn more about fraud detection

Personalize healthcare

Get every person the best possible treatment. Better yet, take steps to prevent health issues from arising in the first place.

Discover new treatments

Find new ways to treat disease and other health issues, including identifying which treatments are best for which specific patient types.

Optimize asset utilization

Ensure everything from rooms to bed to equipment to people is utilized optimally. Balance maximizing revenue and ensuring no one gets turned away for care.

Lightning Fast Data Science

Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment. Organizations can build machine learning models and put them into production faster than ever, using RapidMiner’s lightning fast visual workflow designer and automated modeling capabilities. 400,000 analytics professionals use RapidMiner products to drive revenue, reduce costs, and avoid risks.