Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis [5 Cr2 1100 Landislewis]
•Download as PPT, PDF•
1 like•923 views
1. The document summarizes a study that used CogTool, a predictive modeling software, to analyze the efficiency of users completing tasks in a web-based electronic medical records (EMR) system developed for Malawi. 2. CogTool was used to predict the time skilled users would take to complete 31 tasks in the EMR. Novice users' actual task completion times were then measured and compared to the CogTool predictions. 3. The results showed that novices had a low error rate and generally completed tasks faster than CogTool predicted, possibly because CogTool's assumptions did not account for how users interleaved tasks. The study aims to update the CogTool model and further analyze
![Landis Lewis, Z. et al.: Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis ,[object Object],[object Object],[object Object]](https://image.slidesharecdn.com/5cr21100landislewis-1224876765415965-8/85/Measuring-Efficiency-of-Use-in-a-Web-based-EMR-Developed-for-Malawi-Lessons-Learned-From-Performing-a-Preliminary-CogTool-Analysis-5-Cr2-1100-Landislewis-1-320.jpg)
Recommended
More Related Content
Similar to Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis [5 Cr2 1100 Landislewis]
Similar to 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)
More from Gunther Eysenbach
More from Gunther Eysenbach (20)
Recently uploaded
Recently uploaded (20)
Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons Learned From Performing a Preliminary CogTool Analysis [5 Cr2 1100 Landislewis]
- 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
- 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
- 6. Background: Baobab Anti-Retroviral Therapy system (BART)
- 12. Methods: CogTool
- 13. Methods: CogTool
- 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”.
- 19. Results: Comparison of CogTool Prediction with Novice Performance