Health IT: Healthcare Analytics

Data in today's healthcare model is already enormous, and growing every day. From medical records to genomics, providers and payers can garner new insights across a spectrum of applications ranging from better personalized individual care to predictive models for large population cohorts, resulting in better patient outcomes with improved provider and payer resource utilization.

Healthcare Analytics Related Material

Achieving Mission-Critical Performance with InterSystems

Healthcare organizations are optimizing infrastructure to improve efficiency and reduce cost.

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Predictive Clinical Analytics Help Improve Healthcare and Metrics

Brief: See how predictive clinical analytics based on Intel® architecture help healthcare providers get a more complete picture of patient health.

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Transforming Healthcare with Next-Generation Genome Sequencing

Next-generation sequencing (NGS) creates transformative opportunities to expand our understanding of biomedicine, reshape clinical care, and improve human health.

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BioNano Genomics and Intel Advance Next-Generation Mapping

White Paper: The Irys* System from BioNano Genomics delivers the throughput for optical next-generation mapping with the Intel® Xeon Phi™ coprocessor.

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Making Remote Patient Monitoring Simple and Cost-Effective

Thanks to advances in remote patient monitoring technology, healthcare providers have unprecedented opportunities to improve patient outcomes while reducing costs when managing post-acute and chronic conditions.

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Intel Speeds Genomics to Transform Cancer Care

Paper explores Intel's ethnographic research on scaling genomics precision medicine for cancer care in the PRC and the US, which promises new approaches to diagnosing, treating, and preventing cancer and other diseases.

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Genomic Analytics Speed Time to Insights

Explore this solution brief and discover how Intel's reference architecture for genomics clusters designed using Intel® Scalable System Framework can dramatically reduce genome sequencing time as well as significantly reduce total cost of ownership for genomics clusters.

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Using Big Data Analysis of Clinical Records to Improve Cancer Care

White Paper: See how UNICANCER is using next-gen big data analysis to improve clinical trials, health economics, and researcher productivity.

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The Living Heart Project and Intel® Technologies

The Living Heart Project extends the value of the high-performance computing in the life sciences, alongside research and therapies in areas such as genomics, pharmacology, and computational biology.

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SAP, Dell, and Intel Partner for Health Analytics

Using SAP Foundation for Health, built on SAP HANA*, organizations can combine traditional data sources and vital patient data—clinical, research, personal medical, social information, and more for in-depth health analytics.

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The Benefits of Health Analytics and Wearables

Big Cloud Analytics and Intel have partnered to deliver a solution for addressing quality-of-life and cost-of-care issues with Intel® powered wearable fitness trackers and the COVALENCE* Health Analytics Platform.

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Extreme-Scale Computing for Precision Medicine

Sustained innovation in extreme-scale computing will help usher in a transformative era of personalized biomedicine.

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Trusted Analytics Platform Helps Predict Heart Health

The Trusted Analytics Platform provides a predictive solution that helps doctors at Penn Medicine improve treatment and patient heart health.

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Big Data Analytics Helps Improve Patient Care

This paper shows how one healthcare institution—Penn Medicine—is using big data solutions to derive new insights and improve patient care.

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Predicting Drug Characteristics with Big Data

Icahn School of Medicine at Mount Sinai has been working with Intel to use Trusted Analytics Platform to apply data science, graph analytics, and machine learning for faster discovery of new drug therapies.

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Cerner Develops St. John's Sepsis Agent*

The St. John's Sepsis Agent* monitors vital data in real time to predict with a high level of accuracy whether a patient will develop sepsis.

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Shelby’s Story, TGen Genomic Medical Research

The Translational Genomics Research Institute develops early diagnostics to improve the lives of people like Shelby through molecular medicine.

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Solving Practical Problems with Healthcare Analytics

Apixio's blend of healthcare analytics and cognitive computing helps payers and providers achieve practical insights and bottom-line benefits from existing data.

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Accelerating Plant and Animal Genomics

Smithsonian Institute for Biodiversity Genomics halves genome assembly time using Intel® Xeon® processor E7 v3 family and Intel® Solid State Drives.

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Data Analytics for Unstructured Clinical Case Notes

Breakthroughs in analyzing unstructured clinical data show potential to improve the delivery of integrated, resource-efficient patient care.

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Statistical Analysis of Genome Sequencing Data

Read about research efforts around next-generation sequencing (NGS) technologies that generate vast amounts of variant data, posing a big computational challenge.

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Genome-wide Association Test, a Scaling Study

Explore this white paper and discover how in this Genome-wide association study (GWAS), Intel Reference Architecture can be used to efficiently perform analysis on big genome sequencing datasets, like Wellderly and 1000 Genomes.

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OHSU and Intel Collaborate Against Cancer

OHSU Director of Cancer Research Brian Druker and other doctors discuss OHSU’s collaboration with Intel to create computer architectures optimized for sequencing cancer genomes and personalizing cancer care.

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Leading Advances in Using Big Data in the Healthcare Industry

Today, making use of big data is becoming mainstream in various industries and business sectors. The healthcare industry is no exception. In particular, medical facilities, which generate and process huge volumes of medical information and medical device data, have been accelerating big data utilization.

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Intel and GE: Using Analytics to Improve Healthcare

White Paper: See how Intel is working with GE to deliver Predix*, a computing platform that uses big data analytics to improve the quality and efficiency of healthcare through application integration and by sharing and analyzing complex data sets.

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Predictive Analytics Help a Hospital Group Reduce Readmissions

Intel and Cloudera Use Predictive Analytics to Help a Large Hospital Group Reduce Readmission Rates.

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The Changing Data Landscape

The increasing digitization of healthcare information is opening new possibilities for providers and payers to enhance the quality of care, improve healthcare outcomes, and reduce costs. Technology advances, regulatory mandates, and government incentives have accelerated the move from paper to digital health records.

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Dell and Intel Help Accelerate Results for Healthcare at ASU

With nearly USD 450 million annually in research expenditures, Arizona State University is a research leader. ASU partnered with Dell to create the NGCC, ASU's Next Generation Cyber Capability to advance big data and high-performance computing research in complex adaptive systems.

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Leveraging Big Data and Analytics in Healthcare and Life Sciences

Life sciences benefit from big data analytics enabling personalized medicine for high-quality care, and better outcomes. Some management challenges the life sciences face are data security and proper analytics for using data in and efficient and expeditious manner.

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