
AI Platform for Healthcare
AI Platform for Healthcare has the power to unlock true value from healthcare system data to optimize patient care, accelerate research in disease prevention and treatment, and accurately forecast staffing and operational needs, while optimizing payer operations — all which saves lives and improves the quality of care for all patients, regardless of socioeconomic status.
AI in Healthcare
The ability to access and understand patient data and improve health outcomes is stronger than ever before. Stronger data-driven insights are critical for healthcare organizations across the board to confidently respond to the changing dynamics of the social determinants of health, staffing and operations, and disrupted care. AI Platform for Healthcare gives the ability to harness data to optimize patient care, accelerate research in disease prevention and treatment, accurately forecast staffing and operational needs, optimize financial performance, and enable equitable service provision. The power of machine learning can transform consumer health.

AI Use Cases in Healthcare
In the wake of the global pandemic, supply chain disruptions, and tense economic environments around the world, the healthcare industry is facing unprecedented demand for patient and consumer health services alongside historically complex challenges. The healthcare industry needs to find new ways to address critical needs.
Predict Overpaid Medical Claims (Fraud, Waste, Abuse)
Predict if a physician is submitting an overpaid claim based on historical data and the drugs they are prescribing.
Read morePredict Member or Employer Disenrollment
Reduce disenrollment, either on the member or employer level, by predicting ahead of time which are likely to churn.
Read morePredict Patient Propensity to Have Certain Diseases
Supplement the existing medical diagnostic process to identify high risk patients that may be overlooked.
Read morePredict Suicide Warning Signs
Provide a supplementary assessment that helps prevent suicides and save lives by predicting ahead of time who is likely to commit suicide.
Read moreReduce 30-Day Readmissions Rate
Proactively reduce 30-day readmissions rate by predicting in advance which patients are likely to readmit and understanding the top reasons why
Read moreReduce Patient Length of Stay
Reduce patient length of stay (LOS) without sacrificing quality of care by understanding the barriers to a timely and effective discharge.
Read moreForecast Patient Volume to Improve Staffing
Census or patient admission forecasting helps healthcare providers optimize their staffing and resource needs.
Read moreImprove Medical Representatives Performance (i.e. Sellers)
Improve medical rep performance by personalizing approach.
Read morePredict Patient Nonadherence / Leakage in Provider Facilities
Foresee which patients are likely to churn before completing their course of care.
Read morePredict Churn for Clinical Trials
Predict churn in order to improve the success rate of clinical trials.
Read moreForecast Daily Demand by Store
Demand forecasting / sales forecasting with AI/ML helps reduce overstocks and out of stocks, helping you optimize your supply chain and working capital.
Read moreForecast the Demand of New Products
Forecasting the demand of to-be-launched products enables retailers to optimize inventory, logistics, and working capital, and be better prepared to serve their customers.
Read moreImprove In-Store Product Assortment
Remove products predicted to perform poorly to leave a more targeted assortment for your customers.
Read moreDataRobot AI Platform Partner Ecosystem
See how our partners utilize DataRobot AI Platform to activate the full potential of healthcare solutions.

demo
AI Cloud for Healthcare Demo: Predicting Hospital Readmissions
See how AI Cloud for Healthcare can be used to solve healthcare challenges such as decreasing the likelihood of patient readmission.