Data Science

Data Science Research at West Health

Using Data Science and secure machine learning to power quantitative research on lowering costs and improving care for seniors.

Using Data Science to Address Healthcare Costs and Improved Care for Seniors

West Health Institute has developed substantial in-house, multi-disciplinary expertise in data-driven research and decision-making through its Data Science Team, which is focused on using data to demonstrate improved care at a lower cost for a variety of West Health’s research programs.

By collaborating with leading institutions like <<collaborators X,Y and Z>>, West Health’s Data Science team has powered innovative healthcare research into areas like home-based healthcare for seniors, improving emergency care and reducing falls and delirium, resulting in research publications and presentations like the Journal of the American Geriatrics Society and the Society for Academic Emergency Medicine.

Bringing together access to major healthcare-related databases with extensive data analysis expertise and secure resources, capabilities include everything from database administration, economic analysis, and statistics to data visualization.

The Data Science Team consolidates these skills and resources to provide a unique, end-to-end, quantitative perspective on West Health’s mission to lower healthcare costs to help the nation’s seniors age successfully.

Please see below for technical information about the Data Science Team and how you and your organization can collaborate with them to address healthcare costs and improve care for seniors.

The Mission of Data Science at West Health

Provide secure, timely, and innovative Data Science support for West Health researchers and collaborators to help lower the cost of healthcare to enable successful aging.

West Health Data Science provides a unique integrated stack of services and technologies that enable deep quantitative perspectives and research on the institute’s mission.

Manuscripts & Presentations

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.