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Health Information Exchanges in Post-Pandemic Healthcare

GAVS Technology

HIE enables electronical movement of clinical information among different healthcare information systems. The goal is to facilitate access to and retrieval of clinical data to provide safer and more timely, efficient, effective, and equitable patient-centered care. This brings us to the important discussion of HIE data models.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. These industries accumulate ridiculous amounts of data on a daily basis.

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Deep Dive into Predictive Analytics Models and Algorithms

Marutitech

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Top 5 Predictive Analytics Models.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

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What Is The Difference Between Business Intelligence And Analytics?

Data Pine

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. Business Intelligence And Analytics Examples.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

For example, if you’re passionate about healthcare reform, you can work as a BI professional who specializes in using data and online BI tools to make hospitals run more smoothly and effectively thanks to healthcare analytics. A data scientist has a similar role as the BI analyst, however, they do different things.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Data Pine

Now that we’ve put the misuse of statistics in context, let’s look at various digital age examples of statistics that are misleading across five distinct, but related, spectrums: media and politics, news, advertising, science, and healthcare. 2) Examples of misleading statistics in healthcare. 3) Data fishing.

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