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Abstract: Obesity is a continuing national epidemic and the condition can have physical, psychological as well as a social impact on one’s well-being . Consequently, it is critical to accurately diagnose and document obesity in an electronic medical record (EMR), so that the information can be used and shared to improve clinical decision making and health communication, and in turn, the patient’s prognosis. It is therefore worthwhile to identify the various factors that play a role in documenting obesity diagnosis and methods to improve current documentation practices. We examine existing electronic medical records of obese patients to assess documentation of their obesity in the problem list and identify factors associated with the omission of diagnosis.

Learning Objective 1: Formulate strategies to reduce obesity underdiagnosis by determining variables that are associated with EMR problem list omissions

Authors:

Akshat Kapoor (Presenter)
East Carolina University

Juhee Kim, East Carolina University
Xiaoming Zeng, East Carolina University
Andrew Anderson, East Carolina University

Presentation Materials:

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