
AI Cloud for Healthcare
AI Cloud 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 Cloud 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.
- Patient Care
- Staffing and Operations
- Customer Retention and Satisfaction
- Claims Management
- Research, Prevention and Innovation
Improve Medication Adherence
Predict in advance which patients are likely to be non-adherent to their medication to intervene and improve adherence.
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 Which Patients Will Admit
Predict which patients are likely to be admitted to proactively improve their health.
Read moreImprove Procurement to Fulfill Medical Resource Needs
Fulfill the medical resource needs of your clinicians while limiting on-hand inventory of non-essential items to secure levels.
Read morePredict Outpatient Appointment No Shows
Predict in advance which patients are likely to miss their appointments to reduce clinician downtime.
Read morePredict Equipment Failure
Predict equipment failure using age and equipment usage to prevent downtime.
Read moreImprove Medical Representatives Performance (i.e. Sellers)
Improve medical rep performance by personalizing approach.
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 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 Nonadherence / Leakage in Provider Facilities
Foresee which patients are likely to churn before completing their course of care.
Read moreImprove Patient Engagement with Case Managers
Discover the underlying reasons behind why patients may refuse to engage with care managers.
Read moreImprove Patient Satisfaction Scores
Increase patient satisfaction scores by predicting which patients are likely to submit poor scores and the primary reasons. Design interventions to improve their satisfaction.
Read morePredict 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 moreIdentify Members Who Will Become High Cost Claimants
Predict how likely health care members will be to go over a certain cost threshold in the next 12-month period.
Read moreUCSF: Predicting Patient Outcomes Using OR Data
UCSF-BASIC uses DataRobot and operating room data to predict the outcomes of patients with traumatic spinal cord injuries.
Read morePredict Opioid Abuse
Improve the care you offer by predicting which patients with opioid prescriptions are likely to suffer from opioid abuse.
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 morePredict Hospital Acquired Conditions
Bolster prevention procedures even by predicting which patients are likely to develop HACs.
Read morePredict Churn for Clinical Trials
Predict churn in order to improve the success rate of clinical trials.
Read moreDataRobot AI Cloud Partner Ecosystem
See how our partners utilize DataRobot AI Cloud 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.
Frequently Asked Questions
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