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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 2 of 2 Research Studies DisplayedMelnick ER, Hess EP, Guo G
Patient-centered decision support: formative usability evaluation of integrated clinical decision support with a patient decision aid for minor head injury in the emergency department.
The study’s objective was to formatively evaluate an electronic tool that not only helps clinicians at the bedside to determine the need for CT use based on the Canadian CT Head Rule but also promotes evidence-based conversations between patients and clinicians regarding patient-specific risk and patients' specific concerns. It concluded that the Concussion or Brain Bleed app is a useful and usable final product integrating clinical decision support with a patient decision aid.
AHRQ-funded; HS021271.
Citation: Melnick ER, Hess EP, Guo G .
Patient-centered decision support: formative usability evaluation of integrated clinical decision support with a patient decision aid for minor head injury in the emergency department.
J Med Internet Res 2017 May 19;19(5):e174. doi: 10.2196/jmir.7846.
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Keywords: Brain Injury, Shared Decision Making, Emergency Department, Health Information Technology (HIT), Patient-Centered Healthcare
Chen W, Wheeler KK, Lin S
Computerized "Learn-As-You-Go" classification of traumatic brain injuries using NEISS narrative data.
This study evaluated a "Learn-As-You-Go" machine-learning program. When using this program, the user trains classification models and interactively checks on accuracy until a desired threshold is reached. It found that the time frame to classify tens of thousands of narratives was reduced from a few days to minutes after approximately sixty minutes of training.
AHRQ-funded; HS022277.
Citation: Chen W, Wheeler KK, Lin S .
Computerized "Learn-As-You-Go" classification of traumatic brain injuries using NEISS narrative data.
Accid Anal Prev 2016 Apr;89:111-7. doi: 10.1016/j.aap.2016.01.012.
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Keywords: Brain Injury, Health Information Technology (HIT)