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Tag: healthcare analytics

Containerized Spark Deployment Pays Dividends

Aug 7, 2017 |

Hadoop has emerged as a general purpose big data operating system that can perform a range of tasks and run all kinds of processing engines. But all that power and flexibility comes with a cost, which is something that one prominent healthcare analytics firm decided it didn’t want to pay anymore. Read more…

How Big Data Can Save Lives at the Hospital

May 16, 2017 |

As a trauma nurse at one of the largest hospitals in the country, Charles Boicey saw his share of sickness and injuries, amazing recoveries and unfortunate deaths. But for all the good he and his fellow clinicians were able to do, Boicey was frustrated that he didn’t have the information to do more. Read more…

Hiding Hadoop: How Data Fabrics Mask Complexity and Empower Users

Feb 6, 2017 |

“The early bird gets the worm,” the old saying goes. What they don’t tell you is sometimes the early bird gets eaten. In the big data world, the rapid evolution of technology is providing maneuvering room for second-movers, and one place where this advantage is becoming evident is in the emerging area of data virtualization and data fabrics. Read more…

Predictor Looks to Reduce Patient No-Shows

Oct 12, 2016 |

Among the reasons for skyrocketing U.S. healthcare costs is the relatively mundane problem of patient no-shows, which end up costing the healthcare sector billions of dollars in lost revenues each year. Read more…

Leveraging Big Data to Predict Death

Sep 28, 2015 |

Chalk “predict death” off the list of “what computers can’t do.” A supercomputer at Beth Israel Deaconess Medical Center in Boston, Mass., can decipher the likelihood of a patient’s imminent demise with uncanny accuracy. Read more…

Analytics Big Role in New Healthcare Model

Jul 28, 2015 |

Big data analytics is having a transformative impact on almost every industry it touches. But when it comes to the $3-trillion healthcare industry, the impact is personal in more ways than one. Read more…

Data Startup Targets Machine Learning for Healthcare

Aug 27, 2014 |

A medical diagnostic startup is attempting to use recent advances in machine learning as a way to make it easier for doctors to sort through medical information in the form of images, unstructured data like notes on a patient’s history and structured laboratory test results. Read more…

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