Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Touchscreen task efficiency and learnability in an electronic medical record at the point-of-care.

Lewis, Zach Landis and Douglas, Gerald P and Monaco, Valerie and Crowley, Rebecca S (2010) Touchscreen task efficiency and learnability in an electronic medical record at the point-of-care. Stud Health Technol Inform, 160 (Pt 1). 101 - 105. ISSN 0926-9630

Published Version
Available under License Creative Commons Attribution.

Download (650kB) | Preview
[img] Plain Text (licence)
Download (1kB)


The objective of this study was to determine the relative efficiency of novices compared to a prediction of skilled use when performing tasks using the touchscreen interface of an EMR developed in Malawi. We observed novice users performing touchscreen tasks and recorded timestamp data from their performances. Using a predictive human performance modeling tool, the authors predicted the skilled task performance time for each task. Efficiency and rates of error were evaluated with respect to user interface design. Nineteen participants performed 31 EMR tasks seven times for a total of 4,123 observed performances. We analyzed twelve representative tasks leaving 1,596 performances featuring six user interface designs. Mean novice performance time was significantly slower than mean predicted skilled performance time (p<0.001). However, novices performed faster than the predicted skilled level in 208 (13%) of successful task performances. These findings suggest the user interface design supports a primary design goal of the EMR--to allow novice users to perform tasks efficiently and effectively.


Social Networking:
Share |


Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Lewis, Zach Landis
Douglas, Gerald P
Monaco, Valerie
Crowley, Rebecca S
Date: 2010
Date Type: Publication
Journal or Publication Title: Stud Health Technol Inform
Volume: 160
Number: Pt 1
Page Range: 101 - 105
Schools and Programs: School of Medicine > Biomedical Informatics
Refereed: Yes
Uncontrolled Keywords: Computer Terminals, Electronic Health Records, Humans, Malawi, Man-Machine Systems, Point-of-Care Systems, Professional Competence, Task Performance and Analysis, Touch, User-Computer Interface
ISSN: 0926-9630
Funders: NLM NIH HHS (5T15LM007059-22)
MeSH Headings: Computer Terminals--statistics & numerical data; Electronic Health Records--instrumentation; Electronic Health Records--statistics & numerical data; Humans; Malawi; Man-Machine Systems; Point-of-Care Systems--statistics & numerical data; Professional Competence--statistics & numerical data; Task Performance and Analysis; Touch; User-Computer Interface
PubMed ID: 20841658
Date Deposited: 29 Aug 2012 20:58
Last Modified: 03 Feb 2021 17:09


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item