Steven Rick
University of California, San Diego
12 Papers
20 Citations
Steven Rick is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Computer science & Patient participation. The author has an hindex of 8, co-authored 12 publications. Previous affiliations of Steven Rick include Veterans Health Administration.
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Papers
LAB-IN-A-BOX: semi-automatic tracking of activity in the medical office
Nadir Weibel,Steven Rick,Colleen Emmenegger,Shazia Ashfaq,Alan Calvitti,Zia Agha +5 more
- 01 Feb 2015
TL;DR: The Lab-in-a-Box solution that enables the capture of multimodal activity in real-world settings, and exploits a range of sensors to track computer-based activity, speech interaction, visual attention and body movements, and automatically synchronize and segment this data.
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Physician activity during outpatient visits and subjective workload
Alan Calvitti,Harry Hochheiser,Shazia Ashfaq,Kristin Bell,Yunan Chen,Robert El Kareh,Mark T. Gabuzda,Lin Liu,Sara Mortensen,Braj Pandey,Steven Rick,Richard L. Street,Nadir Weibel,Charlene R. Weir,Zia Agha +14 more
TL;DR: It was found that visit activity was highly variable across individual physicians, and the observed activity metrics ranged widely as correlates to subjective work-load as measured by the task load survey.
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•Proceedings Article
Validating free-text order entry for a note-centric EHR.
Adam Rule,Steven Rick,Michael Chiu,Phillip Rios,Shazia Ashfaq,Alan Calvitti,Wesley S. Chan,Nadir Weibel,Zia Agha +8 more
- 05 Nov 2015
TL;DR: This study presents the design and subsequent testing with eight clinicians of a core element of this envisioned note: free-text order entry, and aims to develop an interactive progress note that unifies entry, access, and retrieval of structured and unstructured health information.
11
NeuroPose: geriatric rehabilitation in the home using a webcam and pose estimation
Steven Rick,Shubha Bhaskaran,Yajie Sun,Sarah McEwen,Nadir Weibel +4 more
- 16 Mar 2019
TL;DR: This work seeks to reduce the barrier to entry for patients through a portable application which enables fall risk prevention assessment and rehabilitation anywhere and leverages the latest in machine learning and computer vision, accomplishing pose estimation and body tracking with a simple and ubiquitous web cam.
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Eyes on the clinic: accelerating meaningful interface analysis through unobtrusive eye tracking
Steven Rick,Alan Calvitti,Zia Agha,Nadir Weibel +3 more
- 20 May 2015
TL;DR: An unobtrusive eye tracker is deployed in outpatient clinics to observe how physicians use their EMRs and the results highlight multiple applications for the quantitative and qualitative assessment of EMR interfaces from eye tracking data collected in situ.