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An Interface-driven Analysis of User Interactions with an Electronic Health Records System
Author(s) -
Kai Zheng,
Rema Padman,
Michael P. Johnson,
Herbert S. Diamond
Publication year - 2008
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1197/jamia.m2852
Subject(s) - health records , computer science , interface (matter) , user interface , electronic health record , human–computer interaction , software , world wide web , health care , operating system , bubble , maximum bubble pressure method , economics , economic growth
This study sought to investigate user interactions with an electronic health records (EHR) system by uncovering hidden navigational patterns in the EHR usage data automatically recorded as clinicians navigated through the system's software user interface (UI) to perform different clinical tasks.

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