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Data Analytics in Healthcare: 7 Real-World Examples and Use Cases

Altexsoft

Receiving patient or operation’s information, the next big step for the healthcare industry are data analytics applied to various processes in patient treatment, equipment maintenance, and diagnostics. Collecting data and making sense of it to predict health conditions of individuals is a primary task of healthcare analytics.

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What Kind of Management Structure Is Needed to Govern a Data Analytics Program?

CTOvision

When thinking about developing a new data analytics program, two questions you need to address are: What services do you need to provide? governed”) differently in order to gain maximum value from improved analytics. Do you need to manage and potentially standardize data from a variety of sources and formats?

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

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Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

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Top Data science books you should definitely read

Apiumhub

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

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How universities are using AI to power operational efficiency

Trigent

The role of technology in the education industry has witnessed some monumental trendsetters, right from 2019, which saw the advent of Big Data , Internet of Things (IoT), and Machine Learning. Placement assistance : AI-powered platforms and digital analytics can help universities to manage placement and alumni efficiently.

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Precision Medicine: How Healthcare Providers Can Prepare for the Future of Medicine

Altexsoft

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. It exists on the pages of peer-reviewed medical journals and research papers. Data analytics infrastructure.