The West Health Institute has developed substantial in-house, multi-disciplinary expertise in data-driven methods for decision-making through its data science core team, now featuring more than 8.9 billion rows of data with more than 181 trillion searchable data elements.
Bringing together access to major healthcare-related databases with core skills and resources, capabilities include everything from database administration to economic analysis to statistics to data visualization.
The data science core consolidates these skills and resources into a team that provides a unique end-to-end quantitative perspective on the Institute’s mission to help the nation’s seniors age successfully.
Our key areas of research and relevant databases include (but are not limited to) the following:
|Home-Based Primary Care||Geriatric Emergency Care|
|Supportive Services||Oral Healthcare and Care Coordination|
The diagram shows the general workflow, tools, and AWS architecture. The private cloud designed and implemented by the data science team provides secure, encrypted, elastic storage and computation. Analysts access the data via a secure web-interface that provides statistical analysis and visualization tools across the relevant data. These software tools run on cloud-hosted virtual machines and are easy to customize for specific research purposes so both computational and data resources are marshaled within the same elastic framework. The data science team additionally maintains all relevant data dictionaries and documentation on a comprehensive internal collaboration site.
Kinosian, B, Kronick, R, Norman, G, Kent, T, Kubisiak, J. (2018). Independence at home qualified elders who receive home based primary care have higher costs than all IAH-Qualified Medicare beneficiaries. Journal of the American Geriatrics Society, Vol 66 (Suppl S2), S3.
Kinosian, B, Kronick, R, Norman, G, Kent, T, Kubisiak, J. (2018). Home based primary care reduces hospitalizations to produce savings in the independence at home (IAH) demonstration. Journal of the American Geriatrics Society, Vol 66 (Suppl S2), S166.
Lesser, A., Israni, J., Kent, T. & Ko, K.J. (2018, e-pub ahead of print). Association between physical therapy in the emergency department and emergency department revisits for older adult fallers: A nationally representative analysis. Journal of the American Geriatrics Society.
Israni J, Lesser A, Kent T. & Ko, K.J. (2018). Delirium as a predictor of mortality in US Medicare beneficiaries discharged from the emergency department: a national claims-level analysis up to 12 months. BMJ Open, 8:e021258. doi: 10.1136/bmjopen-2017-021258
Kent, T., Lesser, A., Howard, J., Israni, J. & Ko, K.J. (May, 2018). 30-day emergency department revisit rates among Medicare beneficiaries with dementia. Oral Presentation at the Society for Academic Emergency Medicine annual meeting. Indianapolis, IN.
Israni, J., Lesser, A., Kent, T. & Ko, K.J. (May, 2018). Utilizing business intelligence (BI) tools in healthcare analytics. Poster presented at the American Medication Informatics Association Clinical Informatics Conference, Scottsdale, AZ.