Leading hospitals are using data analytics, machine learning and artificial intelligence to identify which patients are most at risk so they can respond more swiftly to life-threatening events.
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.
Data-driven healthcare organizations gain insights for more proactive decision making by leveraging predictive models induced from clinical data sources.
Solution Brief: Describes how an innovative predictive clinical analytics solution based on Intel® architecture helps providers and payers improve patient safety, increase operational efficiency, and boost patient satisfaction.
This graphic considers how increased data collection in the healthcare industry necessitates advanced analytics solutions to create valuable patient insights.
Five essential changes healthcare organizations need to make to get the most from data analytics.
Research shows how machine learning can help doctors discern between two very serious heart conditions with very similar symptoms.
Improving patient outcomes and lowering costs will take the right blend of human intervention and technological prowess.
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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