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.
DataRobot AI Cloud Partner Ecosystem
See how our partners utilize DataRobot AI Cloud to activate the full potential of healthcare solutions.
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
How is AI used in healthcare?
Using AI, healthcare organizations can develop and deploy breakthrough preventative treatments, improve medical procedures, and even design new pharmaceutical solutions. According to one global study, 78 percent of businesses, including the healthcare industry, use AI in at least one business unit.
What are examples of artificial intelligence in healthcare?
Three significant areas of impact for AI in healthcare:
- Social Determinants of Health (SDOH): Predict disease outbreak and spread
- Staffing and retention: Predict which members (in any capacity, including staff) are at risk of churn and identify opportunities for retention
- Disrupted care: Identify patients in need of preventative care
What are the upcoming tools of artificial intelligence in healthcare?
Trends in the healthcare industry show AI being leveraged in the following areas:
- Enhanced Operations
- Clinical decision support
- Predictive and prescriptive medicine
- Funding of care (including payers)
- Population health
What are the Benefits of AI in Healthcare?
With trusted, explainable AI, healthcare providers can deliver high-impact business results that unify human intuition and machine intelligence to empower confident decision-making. As security, regulatory, and operational challenges keep on growing, stronger insights into data are critical for healthcare professionals to deliver quality patient care.