Tag Archives: data quality

CDC Wonder for Studying Vaccine Adverse Events: The Shameful State of US Open Government Data

The open government data movements in many countries have resulted in government data being available online.

CDC Wonder is an online query portal that serves as a gateway to many government datasets. Although antiquated, it still works for extracting data, and my blog post shows you how.

Front-end Decisions Impact Back-end Data (and Your Data Science Experience!)

How the front-end and back-end are connected can impact how data are stored in the application. So if you extract the data, you can have data quality problems caused by the front-end.

Front-end decisions are made when applications are designed. They are even made when you design a survey in SurveyMonkey. What health data analysts often don’t realize is that these decisions have a profound impact on the quality and accuracy of the data that are collected through these front-ends, which is the focus of this blog […]

US Public Health Alphabet Soup Explained: What is the SAMHSA?

The Substance Abuse and Mental Health Services Administration or SAMHSA is an agency that separates mental health from physical health.

What does the SAMHSA actually do for mental health and substance abuse patients in the US? The answer is, “nothing directly” – however, indirectly, SAMHSA has had a profound impact on behavioral health patients, and the result has not always been positive, as you can read in my blog post.

Data Curation Solution to Confusing Options in R Package UpSetR

It is possible to use data curation to solve the problem of a confusion vector containing options.

Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.

Presentation on Data Collection for Healthcare QA/QI in Chronic Disease

Quality improvement and assurance departments in healthcare do many functions all at once, including monitoring and research

Watch a video of my presentation on data collection from chronic disease patients for healthcare quality control and quality improvement – and download the slides!

US Public Health Alphabet Soup Explained: What is the AHRQ?

The Agency for Healthcare Quality Research gives out grants to study ways to improve healthcare through research and application

Want to know what AHRQ stands for, what it does, and how all that relates to US public health? AHRQ is a main player in public health – even though it is technically supposed to be focused on healthcare.

Alternative to the PDSA Model for QA/QI in Healthcare? Old-fashioned Epidemiology and Biostatistics! Part 4 of 5

The Plan Do Study Act model does not take into account all functions of a healthcare quality improvement and assurance department

Want an alternative to the Plan-Do-Study-Act (PDSA) model for quality assurance/quality improvement (QA/QI) in healthcare? I recommend approaching QA/QI a different way, by thinking about the various functions of the QA/QI department.

“Bad Blood” is a Lesson in How Bad Leadership Leads to Bad Data: Part 4 of 5

If you work in a chaotic environment, you will notice that there is a lack of leadership, and people do not have management skills.

As a data science leader, what should you put in place so your organization doesn’t end up a data mess like startup Theranos? This blog posts provides guidance.

Data Science of Data Collection: Free Course and Course Series!

“Understanding Research Forms, Surveys and Instruments” is a 6-course online tutorial series aimed at graduate students and new researchers so they learn how to collect data properly, and do not make mistakes that can cost them their degree or job promotion!

Learn the “data science of data collection” through my free introductory course! If you want to learn more, continue with the whole six-course series. Great for graduate students and QA/QI professionals!

Verified by MonsterInsights