New York’s Montefiore Health System needed to serve its diverse patient population better and more efficiently. Partnering with Intel, Montefiore deployed AI and predictive analytics systems to see patterns in enormous amounts of patient data. Now they identify patients at risk of developing acute conditions and intervene earlier, improving care and lowering costs.
When Danielle Collins’s brain was bleeding, her doctors quickly created a 360-degree VR model of her brain to explore the best treatment approach and let her experience it as well. High performance computing powered by Intel allows Surgical Theater to deliver compute-intensive immersive experiences that improve the patient experience and prepare surgeons for the best outcomes.
After surgery, chemotherapy, and radiation didn't work, Bryce Olson went outside the lines to fight his cancer. Genomic sequencing pinpointed the genesis of his disease, leading to the right treatment at the right time. Intel and the Broad Institute are accelerating the compute-intensive biomedical research behind precision medicine and AI-based discovery.
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.
Revolutionizing Drug Discovery Pipelines with 3D Proteins Imaged at Near-Atomic Resolutions with Intel® Scalable System Framework (Intel® SSF).
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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