In a previous post, I described how to format typical physician productivity data to enable further analyses, finding useful insight. I dig deeper to find more actionable insights in this post. Refresher: we had office visit data for 3 doctors over 2 month period; we added RVUs to the office visit procedure codes; we added … Continue reading Confessions of health data -2
Month: March 2018
Just the Statistics you need
In this post, I describe the statistical concepts that I have found most relevant in health data analytics. First and foremost, I’m not a fan of using advanced statistical techniques for the sake of using them. In healthcare, the audience of your analysis is often non-statisticians (bio statistics research arena aside), so advanced statistical concepts … Continue reading Just the Statistics you need
Types of healthcare data – Drug codes
This is the third post in a series in which I describe the common types of healthcare data you will come across, namely, diagnoses, procedures, demographic, drug, laboratory result data, clinical notes and financial data. In previous posts, I described diagnosis and procedure codes. Here, I describe drug codes. Drug codes primarily record clinical/dosage information of … Continue reading Types of healthcare data – Drug codes
Ugly side of healthcare data
This post describes some of the commonly seen types of errors in healthcare data. Occasionally, memories flash across my mind, of the days I spent in maths lectures, of being amazed at the clean, efficient and elegant proofs that demonstrate the logical integrity of abstract maths theorems. Fast forward to today, I more often than … Continue reading Ugly side of healthcare data
Confessions of health data – 1
This is the first in a series of posts to illustrate analytic methods of getting insights out of healthcare data: Please download the companion workbook here. Context: Medical practice managers are often requested to track physician productivity, whether against targets or identify areas of improvements, for example through practice dashboards. Below is an example of how … Continue reading Confessions of health data – 1
The Health Analytics Guru 