Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis [5 Cr2 1100 Landislewis]
Ähnlich wie Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis [5 Cr2 1100 Landislewis]
Ähnlich wie Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis [5 Cr2 1100 Landislewis] (20)
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Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis [5 Cr2 1100 Landislewis]
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2. Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis Zach Landis Lewis, MLIS Gerald Douglas, MSIS Valerie Monaco, PhD, MHCI University of Pittsburgh Department of Biomedical Informatics
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4. Background: Malawi 12.4 million 119,282 km 2 Pennsylvania 13.6 million Population (2007 est.) 118,484 km 2 Area Malawi 43.5 77.8 Life expectancy at birth in years 900,000 (14.2%) 18,000 (0.15%) Number of people living with HIV/AIDS
14. Methods: CogTool The five clusters of colored bars represent all the button presses required to perform this task, separated by thinking time. “ 5” “ 8” “ .” “ 3” “ Next”
15. Methods: CogTool This is the final hand movement operator for pressing the button labeled “5”. This pane shows a close-up view of a sequence of cognitive resources being used. Here we see the activities for pressing the button labeled “5”
16. Methods: CogTool This is a “trace” of production rules fired by the ACT-R production rule system during the task performance The highlighted production rules correspond with cognitive activities occurring while a user is pressing the button labeled “5”.