January 2018
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346 Reads
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9 Citations
IBM Journal of Research and Development
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January 2018
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346 Reads
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9 Citations
IBM Journal of Research and Development
August 2015
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53 Reads
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17 Citations
Studies in Health Technology and Informatics
As the volume and variety of healthcare related data continues to grow, the analysis and use of this data will increasingly depend on the ability to appropriately collect, curate and integrate disparate data from many different sources. We describe our approach to and highlight our experiences with the development of a robust data collection, curation and integration infrastructure that supports healthcare analytics. This system has been successfully applied to the processing of a variety of data types including clinical data from electronic health records and observational studies, genomic data, microbiomic data, self-reported data from surveys and self-tracked data from wearable devices from over 600 subjects. The curated data is currently being used to support healthcare analytic applications such as data visualization, patient stratification and predictive modeling.
... data, health systems are also collecting and attempting to incorporate disparate data sources such as insurance claims data, genomic data, socioeconomic data, and patient-generated health data. 6 The growth of health data has placed an undue burden on our providers and health care workers. They are responsible for a large percentage of the data entered into the EHR. ...
January 2018
IBM Journal of Research and Development
... The approach described is only one instance of how user-generated health-related data could add value to research and support public health measures [3]. Moreover, this kind of real-world data can support the development of pharmaceutical innovation, accelerate rare disease diagnosis, and improve chronic disease treatment [4][5][6][7][8][9][10]. ...
August 2015
Studies in Health Technology and Informatics