Tag Archives: data science training

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

The Council on Education for Public Health accredits public health educational schools and programs in colleges

What is the CEPH, and how does it relate to the other organizations in US public health? This blog post explains the history and function of the CEPH, and how it connects to the rest of Big Public Health in the US.

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

The Bureau of Primary Healthcare is a United States federal agency that ensures safety net services to poor individuals

The United States (US) Bureau of Primary Healthcare (BPHC) is the federal agency that funds our safety net infrastructure serving patients who can’t get on Medicare or Medicaid. I explain how all that works, and the relationship of BPHC to the rest of the public health infrastructure.

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

Go to the ASPPH web page to search for accredited programs in public health higher education in the United States and around the world

Are you aware of the ASPPH as a public health organization, but you just don’t know what it does, or how it fits into the bigger picture? I give a quick explainer of the ASPPH and its role in public health education.

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

The American Public Health Association is the professional society for the occupation of public health rather than healthcare.

Curious about the American Public Health Association (APHA) – what it does, and where it fits into the bigger picture of public health organizations? I delve into these topics, and explain how you can get involved.

“Bad Blood” Highlights the Issues with No Administrative Barrier between Research and Clinical Data: Part 5 of 5

In order to get approval by the food and drug administration clinical and research data have to be organized

Read my last post in a series on data-related misconduct at startup Theranos outlined in the book, “Bad Blood”, where I discuss their lack of administrative barrier between research and clinical data.

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.

Does the PDSA Model Work? Part 3 of 5

Quality assurance and improvement specialists wonder whether the Plan Do Study Act model works or not

The Plan-Do-Study-Act model is promoted for quality assurance/quality improvement in healthcare. But does it have any peer-reviewed evidence base behind it? I examine that in this blog post.

“Bad Blood” Shows how Theranos was an Abject Failure in Data Stewardship: Part 3 of 5

Data stewardship includes developing policies about cybersecurity, privacy and confidentiality of data

The book “Bad Blood” describes the fall of startup unicorn Theranos, but also provides insight into the company’s abject failure at data stewardship, which I talk about in this blog post.

“Bad Blood” Demonstrates how a Lack of Product Description Leads to Data Science Misconduct: Part 2 of 5

In order to operationalize your data variables, you need to have clear product descriptions

This blog post talks about how lack of product description led to data-related misconduct at Theranos, because they could never nail down exactly what they were trying to do.

The Stages of the PDSA Model: What do they Really Mean? Part 2 of 5

Implementing the Plan Do Study Act model is very cost- and labor-intensive but it is possible to get a return on investment

What are the stages of the PDSA model, and how do they relate to the functions of a QA/QI department in healthcare? The answers are not straightforward. I examine these issues in this blog post.