Digging into Inpatient Radiology Patterns from Scratch

There is an ever increasing push in radiology towards value-based imaging. In the US, many inpatient stays are reimbursed as diagnostic related groups (DRG), which means inpatient radiology can become a costly medical service. Unfortunately, institutional-wide ordering patterns can be very difficult to evaluate.

In this post, we’ll take a look at different ways to take low-level input data and create compelling visualizations on inpatient radiology ordering patterns.

To follow along, set up your computer using the following Python tutorials: Alternatively, start a free Jupyter notebook from Azure Notebooks.
Howard Chen
(Howard) Po-Hao Chen, MD MBA is a radiology chief resident at Hospital of the University of Pennsylvania. He has an interest in data-driven radiology, quality improvement, and innovation.

Howard will finish training with fellowships in musculoskeletal radiology and nuclear medicine in June 2018 from University of Pennsylvania.

Trackbacks & Pings

Leave a Reply

Your email address will not be published. Required fields are marked *