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Description

In this study, we proposed an analytic approach to measure variation in use of personalized electronics order sets by physicians. To measure the variation, we adopted the concept of Hamming distance and revised it to represent how an order set is used differently than designed. We used data from a computerized provider order entry system in a local healthcare delivery system that provides both standard and personalized order entry functions. We conducted a comparative analysis between the two groups. The result of analysis demonstrates that the proposed method was feasible to measure the level of personalization and find distinguishing factors between the groups.

Learning Objective: To learn a systematic method to understand personalized use of electronic order sets

Authors:

Jaehoon Lee (Presenter)
Intermountain Healthcare

Nathan Hulse, Intermountain Healthcare

Presentation Materials:

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