Linked Life Data

17911877

Source:http://linkedlifedata.com/resource/pubmed/id/17911877

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 2
pubmed:dateCreated
2007-10-3
pubmed:abstractText
Many information technology-enabled healthcare applications have failed because their interfaces are difficult to use. Unfortunately, little attention has been paid in the health informatics community to designing effective user interfaces that are acceptable to healthcare professionals. This paper illustrates a method for improving application interface usability by applying sequential pattern analysis to analyze temporal event sequences recorded in an electronic medical record system. Such event sequences, or clickstreams, reflect clinicians' navigation patterns in their everyday interactions with the computer system. The identified patterns have been used by software developers to calibrate the user interface of the system, so that the within-application workflow is better aligned with clinicians' mental model of medical problem-solving. Such inferred patterns may also help to modify clinicians' suboptimal practice behavior components, as manifested through their actual usage of this point-of-care electronic system.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
129
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1058-62
pubmed:dateRevised
2008-7-10
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
User interface optimization for an electronic medical record system.
pubmed:affiliation
School of Public Health and School of Information, University of Michigan, Ann Arbor 48109-2029, USA. kzheng@umich.edu
pubmed:publicationType
Journal Article