Association of Health Record Visualizations With Physicians’ Cognitive Load When Prioritizing Hospitalized Patients | Zendy

Ari H. Pollack | Zendy; Wanda Pratt | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Association of Health Record Visualizations With Physicians’ Cognitive Load When Prioritizing Hospitalized Patients

Author(s) -

Ari H. Pollack,

Wanda Pratt

Publication year - 2020

Publication title -

jama network open

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.278

H-Index - 39

ISSN - 2574-3805

DOI - 10.1001/jamanetworkopen.2019.19301

Subject(s) - workload , interquartile range , cognition , medicine , computer science , psychiatry , operating system

Key Points Question Can information visualization tools within electronic health records reduce the cognitive workload for physicians when identifying which patients have the highest-priority care needs? Findings In this cross-sectional study of 29 physicians, information visualization tools that identified and highlighted clinically meaningful patterns were associated with a significantly lower cognitive workload compared with tools that required physicians to spend more time searching for similar information. Meaning Electronic health records that use well-designed information visualization tools have the potential to reduce cognitive workload among physicians.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research