Description
Understanding how effectively healthcare providers use Electronic Health Records (EHRs) to find relevant patient information is an active area of clinical informatics research. In the primary care setting, prior work has used cognitive task analysis to understand challenges in the efficiency and comprehensiveness of chart review. This research is unclear, however, whether specific categories of search patterns exist, and, if so, whether these patterns are typical to a provider’s use of the EHR or are related to a focus of disease management. In our work, we use grounded theory to identify distinct categories of search used by primary care physicians (PCPs) reviewing charts of patients with diabetes and/or hypertension. We present a cognitive workflow model that can visually illustrate PCP information seeking patterns. We discuss the implications of our study results on EHR interface design and future work.
Learning Objective: 1. Understand how to use ethnographic research to assess a healthcare provider's mental model during EHR chart review
2. Learn how network representations can be used to model information seeking behaviors in EHR chart review
Authors:
Morgan Foreman (Presenter)
IBM Research
Yoonyoung Park, IBM Research
Jeff Sokolov, IBM Watson Health
Sarah Miller, IBM Watson Health
Paul Tang, IBM Watson Health
Amar Das, IBM Research
Presentation Materials: