Automated development of order sets and corollary orders by data mining in an ambulatory computerized physician order entry system

Article Review

Wright, A., & Sittig, D. F. (2006). Automated Development of Order Sets and Corollary Orders by Data Mining in an Ambulatory Computerized Physician Order Entry System. AMIA Annual Symposium Proceedings, 2006, 819–823.

Introduction

This article presents two alternate techniques to create order sets and corollary orders utilizing data mining of past ordering behavior. Order sets are collections of related items which are commonly ordered together; typically used to treat specific clinical conditions. Corollary orders are orders triggered as a consequence of another order.

Method

Two complementary data mining techniques were used:

1. Frequent itemset mining (market basket analysis)

2. Association rule mining