Difference between revisions of "Assessing performance of an Electronic Health Record (EHR) using Cognitive Task Analysis."
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== Methods == | == Methods == | ||
| − | This study used a Cognitive Task Analysis method called GOMS (Goals, Operators, Methods and Selection rules) and a method developed by Chung et al | + | This study used a Cognitive Task Analysis method called GOMS (Goals, Operators, Methods and Selection rules) and a method developed by Chung et al <ref name="Chung"> An Extended Hierarchical Task Analysis for Error Prediction in Medical Devices http://digitalcommons.library.tmc.edu/uthshis_docs/24//ref> analyze human cognition factors across task performance with the time required to accomplish task measured using KLM (Key-stroke Level Model) to evaluate the AHLTA system. |
=== The KLM Method === | === The KLM Method === | ||
Revision as of 04:33, 4 October 2015
This is a review of the article titled Assessing performance of an Electronic Health Record (EHR) using Cognitive Task Analysis.
Himali Saitwal , Xuan Feng, Muhammad Walji , Vimla Patel, Jiajie Zhang
International Journal of Medical Informatics 79 (2010) 501–506
Introduction
This objective of this study was to analyze the user interface of the AHLTA (Armed Forces Health Longitudinal Technology Application) EHR system used by the US Military in order to evaluate its usability and identify any possible areas for improvement.
The AHLTA system was considered difficult to use because of the effort needed to learn and navigate the system, according to Dr Cassells, Assistant Secretary of Defense of Health Affairs, which led longer workdays for clinicians who were also then able to only see fewer patients. EHRs can have slow performance usually down to two factors; design of the GUI(Graphical User Interface and system response times. This study investigated the AHLTA GUI independent of system response time.
Methods
This study used a Cognitive Task Analysis method called GOMS (Goals, Operators, Methods and Selection rules) and a method developed by Chung et al [1]
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