Eye-Tracking and Retrospective Verbal Protocol to Support Information Systems Design. Issue 1 (June 2013)
- Record Type:
- Journal Article
- Title:
- Eye-Tracking and Retrospective Verbal Protocol to Support Information Systems Design. Issue 1 (June 2013)
- Main Title:
- Eye-Tracking and Retrospective Verbal Protocol to Support Information Systems Design
- Authors:
- Wright, Melanie C.
Dunbar, Sherry
Moretti, Eugene W
Schroeder, Rebecca A
Taekman, Jeffrey
Segall, Noa - Abstract:
- As capabilities for storing and sharing electronic health data expand, it becomes increasingly important to classify, prioritize, and contextually link patient health data. Providers using electronic health records (EHR) complain that it is difficult for them to rapidly find information they need and that key information can be missed. Unfortunately, phases of human-centered design that support defining information needs and developing an understanding of the work environment are sometimes shortchanged. We present a knowledge elicitation approach for the purposes of supporting EHR design that combines the rich contextual data gained through recording information use activities during actual patient care followed by retrospective verbal protocol interviews of the provider as they watch and listen to playback of their information use activities. As a means of analyzing qualitative data collected through techniques such as these, we apply grounded theory based content analysis techniques. The goal of our research is the development of principles to support better organization and prioritization in the presentation of electronic health data. As a secondary objective, we also seek to identify criteria that, with computational algorithms, may be used to prioritize specific data in context to support intelligent contextualized information display. In this paper, we present details of our methods (data collection and analyses), preliminary findings that have resulted from theseAs capabilities for storing and sharing electronic health data expand, it becomes increasingly important to classify, prioritize, and contextually link patient health data. Providers using electronic health records (EHR) complain that it is difficult for them to rapidly find information they need and that key information can be missed. Unfortunately, phases of human-centered design that support defining information needs and developing an understanding of the work environment are sometimes shortchanged. We present a knowledge elicitation approach for the purposes of supporting EHR design that combines the rich contextual data gained through recording information use activities during actual patient care followed by retrospective verbal protocol interviews of the provider as they watch and listen to playback of their information use activities. As a means of analyzing qualitative data collected through techniques such as these, we apply grounded theory based content analysis techniques. The goal of our research is the development of principles to support better organization and prioritization in the presentation of electronic health data. As a secondary objective, we also seek to identify criteria that, with computational algorithms, may be used to prioritize specific data in context to support intelligent contextualized information display. In this paper, we present details of our methods (data collection and analyses), preliminary findings that have resulted from these efforts, and specific advantages and disadvantages to our approach. … (more)
- Is Part Of:
- Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. Volume 2:Issue 1(2013)
- Journal:
- Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare
- Issue:
- Volume 2:Issue 1(2013)
- Issue Display:
- Volume 2, Issue 1 (2013)
- Year:
- 2013
- Volume:
- 2
- Issue:
- 1
- Issue Sort Value:
- 2013-0002-0001-0000
- Page Start:
- 30
- Page End:
- 37
- Publication Date:
- 2013-06
- Subjects:
- Human engineering -- Periodicals
Medical care -- Periodicals
620.8 - Journal URLs:
- http://hcs.sagepub.com/ ↗
http://www.sagepublications.com/ ↗ - DOI:
- 10.1177/2327857913021007 ↗
- Languages:
- English
- ISSNs:
- 2327-8579
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23900.xml