Megan Hunt

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Step length variability (SLV) increases with age in those without overt neurologic disease, is higher in neurologic patients, is associated with falls, and predicts dementia. Whether higher SLV in older adults without neurologic disease indicates presence of neurologic abnormalities is unknown. Our objective was to identify whether SLV in older adults(More)
When data are sparse and/or predictors multicollinear, current implementation of sparse partial least squares (SPLS) does not give estimates for non-selected predictors nor provide a measure of inference. In response, an approach termed "all-possible" SPLS is proposed, which fits a SPLS model for all tuning parameter values across a set grid. Noted is the(More)
Collecting clinical data directly from clinicians is a challenge. Many standard development environments designed to expedite the creation of user interfaces for electronic healthcare applications do not provide acceptable components for satisfying the requirements for collecting and displaying clinical data at the point of care on the tablet computer.(More)
Capturing the nuances of clinical observations in an electronic format has been a major challenge in implementing electronic health records. In a formative evaluation study using three different methodologies, we identified that the greatest obstacle to point-of-care data entry for eye care was supporting free text annotation of clinical observations. To(More)
Supporting data entry by clinicians is considered one of the greatest challenges in implementing electronic health records. In this paper we describe a formative evaluation study using three different methodologies through which we identified obstacles to point-of-care data entry for eye care and then used the formative process to develop and test solutions(More)
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