One is the Loneliest Number (Part 2 of 2)
Feb16

One is the Loneliest Number (Part 2 of 2)

As part 2 of 2, this blog post highlights the costs associated with hospital, physician, and prescription drug spending and life expectancy in the US.

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One is the Loneliest Number (Part 1 of 2)
Jan18

One is the Loneliest Number (Part 1 of 2)

One point of data means nothing if it can’t be compared to a benchmark. This post includes some important health statistics and facts to remember as you begin planning for 2017.

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Applying Predictive Analytics: The Role of Artificial Neural Networks in Predicting Alzheimer’s Disease
Dec22

Applying Predictive Analytics: The Role of Artificial Neural Networks in Predicting Alzheimer’s Disease

This monthly blog highlights and discuss emerging trends and challenges related to healthcare data and its ever changing life cycle. By Kapila Monga The phrase “Longevity Revolution,” referring to the increase in human life expectancy by 30 years, isn’t new anymore. Various books have been written on this subject, and it is a widely discussed topic in conferences these days. It is a no-brainer that this increase in life expectancy...

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From the HIE Point of View: When is Data Too Old to Use? It Depends.
Nov16

From the HIE Point of View: When is Data Too Old to Use? It Depends.

We have an opportunity in the electronic world to provide more relevance to the exchange of clinical data and to ask ourselves questions such as, “What information should be pulled from other healthcare organizations?” and “When does ‘old’ become ‘too old’?”

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Data Flow: Connecting The Dots For Trusted Sources
Oct26

Data Flow: Connecting The Dots For Trusted Sources

Today, the idea of a centralized repository storing all components of a patient’s health record is quite elusive. In fact, there can be many “sources of truth” where a user has to access all components of the patient’s legal health record.

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How to Get Started with Data Analytics
Oct19

How to Get Started with Data Analytics

As instructors, one of the most common questions we receive about data analytics is, “How do I get started with data analytics?”

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