Explore how predictive analytics transforms healthcare delivery. Utilizing the artificial intelligence solutions, machine learning, and reasoning systems, predictive analytics analyzes historical data to create insights for future events. Discover how your healthcare business can benefit with this Whitepaper.
As risk shifts from payers to providers, prevention-led population health management strategies are becoming key to managing that risk.
According to a recent Forrester survey , 90 percent of healthcare organizations have implemented analytics and/or plan to do so in the next 12 months.
This graphic considers how increased data collection in the healthcare industry necessitates advanced analytics solutions to create valuable patient insights.
Research shows how machine learning can help doctors discern between two very serious heart conditions with very similar symptoms.
Top considerations for implementing the right strategy in the shift to value-based care.
The Predictive Model Toolkits are designed to help make predictive clinical analytics more accessible for healthcare organizations by offering pre-defined models, test data, implementation guides, and data science notebooks. Start developing today.
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One-size-fits-all is out. The healthcare solutions of the future use an individual’s genes and high-powered computing to produce personalized treatments for each patient, identify genetic defects causing different cancers, and develop targeted therapies that kill harmful cells while leaving healthy ones intact.
The more engaged patients are in managing their own care, the better their health outcomes and experience. Learn how Intel makes data more secure, efficient, and accessible, putting collaborative care within reach for healthcare providers and patients.