Title |
Open-source, Rapid Reporting of Dementia Evaluations.
|
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Published in |
Journal of registry management, January 2015
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Pubmed ID | |
Authors |
Rasinio S Graves, Jonathan D Mahnken, Russell H Swerdlow, Jeffrey M Burns, Cathy Price, Brad Amstein, Suzanne L Hunt, Lexi Brown, Bhargav Adagarla, Eric D Vidoni |
Abstract |
The National Institutes of Health Alzheimer's Disease Center consortium requires member institutions to build and maintain a longitudinally characterized cohort with a uniform standard data set. Increasingly, centers are employing electronic data capture to acquire data at annual evaluations. In this paper, the University of Kansas Alzheimer's Disease Center reports on an open-source system of electronic data collection and reporting to improve efficiency. This Center capitalizes on the speed, flexibility and accessibility of the system to enhance the evaluation process while rapidly transferring data to the National Alzheimer's Coordinating Center. This framework holds promise for other consortia that regularly use and manage large, standardized datasets. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 27% |
Student > Ph. D. Student | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Student > Master | 1 | 9% |
Other | 1 | 9% |
Other | 0 | 0% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 2 | 18% |
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Business, Management and Accounting | 1 | 9% |
Mathematics | 1 | 9% |
Other | 0 | 0% |
Unknown | 2 | 18% |