Men Aren’t from Mars, and Women Aren’t from Venus, but Big Data in Healthcare Can See Differences

admin Healthcare Analytics, Healthcare Technology

There has been a lot of talk in the media and online lately about gender bias: what is real, and what is just a perception. That’s why I like data. Data is just an “it”. Big data is just an “IT”. However, doing analysis on that data can provide insights into medical differences between the genders. As this article explains “male …

How Can Cognitive Systems Support Healthcare?

admin Healthcare Analytics, Healthcare Technology, Our Thots

I have always been fascinated by cognition. My master’s degree in Computer Education and Cognitive Systems at the University of North Texas gave me a lot of opportunities to learn about machine learning, artificial intelligence and how technology can support cognitive processes. There is only so much that one mind can retain about all of the different symptoms and criteria …

Diving into Data Validation with the ANIA

admin Analytics Competencies, Healthcare Analytics

Last week, in the middle of National Health IT Week, the American Nursing Informatics Association (ANIA) launched the peer-reviewed Journal of Informatics Nursing (JIN). To celebrate the birth of a new source of scholarly content, the first issue is free for all! The article “Data Validation: Swimming in the Depths of Data” supports individuals who are implementing a systematic process …

Quench the Quest for New Knowledge & Skills

admin Analytics Competencies, Analytics roles, Healthcare Analytics

Since joining ThotWave earlier this month, I have been immersing myself in the industry standards for analytical professionals.  As we have been building our Healthcare Analytics Competency Model, we have been aligning our knowledge, skills, and behaviors to the Certified Analytics Professional® (https://www.certifiedanalytics.org/ ).  Connecting learning to national standards provides not only the validation of the content but it allows …

Google DeepMind in Deep Doo

Greg Nelson Healthcare Analytics

DeepMind is a pretty heady name for a company.  Nonetheless, it is one of Google’s recent acquisitions designed to position Google as king-of-the-hill in healthcare apps, data analytics and artificial intelligence .  To date, they have demonstrated a healthy appetite for solving really interesting problems that include: A kidney monitoring app called Streams Some machine learning projects for the detection of …

The Importance of Interoperability in Healthcare Data

Greg Nelson Healthcare Analytics

Working with data is hard. Working with Big Data is harder. Working with Big Data that has to connect to other Big Data is the hardest. We know that data is never clean, which is why working with data is hard. The more volumes of data, the more this problem is exacerbated. When combining that data with other data from …

Pitfalls of Excel

Greg Nelson Analytics Competencies, Healthcare Analytics

We all rely on Excel from time to time. Depending on your job role, you may use it for simple calculations, or more advanced analysis. This article in the Washington Post points out the dangers of Excel and how common abbreviations in your industry may be misinterpreted as dates or random numbers in Excel. When you are working with large …

Bad Data Equals Bad Analysis

Greg Nelson Healthcare Analytics

  As early as 1957 (according to Wikipedia) there has been the phrase “Garbage in, garbage out” when referring to computer data. Bad data coming in means poor and inaccurate analysis which leads to misleading reports. I was taught that there are four aspects to programming and working with data. 1. Data access 2. Data management 3. Data analysis 4. …

Learning is better with the “Why”

Greg Nelson Analytics training, Healthcare Analytics

As the classic song goes “Why do fools fall in love?”. Not “How do fools fall in love?”. Why do people yawn, not How do people yawn. The three year old that’s always asking “Why, why, why” not “how, how, how”. So “why” is this? The “why” provides deeper understanding, insight, and motivation behind the “what”.  In technical training it’s …