Predictive Clinical Analytics Improve Healthcare Resource Allocation and Care Delivery Models

Intel - 2016
PDF 7 Min

As healthcare systems around the world transition from paper-based to digital workflows, they now have access to data that can be used to improve the quality of patient care, while achieving greater cost and resource efficiencies. Recent innovations in predictive clinical analytics are progressing clinical operations with unique and timely connection of evolving risk factors in a dynamic way. These self-learning predictions improve an organization's ability to deliver high-touch clinical resources where they are needed most. An innovative predictive clinical analytics solution based on Intel architecture and software from industry leaders enables providers to consolidate information from a wide range of sources--including structured and unstructured data--to give a more complete picture of health and risk factors.

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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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Taxonomy term: Healthcare
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