10 Significant Clinical Data Variables in Layman’s Terms
The common concepts that you’ll hear in healthcare data analysis.
I’ve developed an interest in healthcare data analysis recently. Healthcare data analysis is already a common well-established practice. But as the healthcare industry adopts more open interoperable data standards and cloud technologies, which has been happening in the past few years, healthcare data analysis, especially the ones leveraging advanced machine learning, will become ever more ubiquitous.
I believe there is a lucrative future in this space for us technology practitioners. But a barrier entry for people with pure technical background is the medical jargon that comes with the rich set of healthcare data. This blog post intends to provide a crash course on the common and significant clinical measurements that are often involved in healthcare data analysis.
Note: this is a sister blog post to the 16 Common Clinical Conditions in Layman’s Terms.
Disclaimer: this is not medical advice; but a set of concepts that can bootstrap your understanding of the basic measurements in healthcare data analysis.
1. Capillary Refill Time
When you pinch your fingertip for a few seconds, you press the blood out of the capillaries (the far end of your blood vessels) in…
