Timothy J. Spittle
Education
M.A., information and data science, UC Berkeley School of Information; B.A., business administration, Northeastern University
Summary of Experience
Mr. Spittle applies his expertise in data analysis, economic modeling, and data science to consulting engagements across a range of industries, including computer software and technology, energy, health economics and outcomes research (HEOR), pharmaceuticals, and health insurance. He has led teams analyzing large datasets, developing novel tools and software for data analysis, reviewing source code for potential patent and copyright infringement, reviewing research methodologies, and modeling the dynamics of markets. One such model was an energy market simulation model used to examine potential economic impact of new products and pricing. Mr. Spittle has also developed several custom data collection and management tools, including real-world data (RWD) collection in a health clinic. In other health care engagements, he has executed numerous budget-impact, cost-effectiveness, and harm-reduction models, which he has presented at conferences worldwide. His work on opioid misuse has spanned the creation of suspicious order monitoring (SOM) algorithms and the publication of articles on harm-reduction models and cost assessments of opioid misuse. Mr. Spittle has also consulted pro bono on several health care analytics projects in Haiti.
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Cost-per-remitter with esketamine nasal spray versus standard of care for treatment-resistant depression
Journal of Comparative Effectiveness Research, 2021
2021Desai U, Kirson NY, Guglielmo A, Le HH, Spittle T, Tseng-Tham J, Shawi M, Sheehan JJ
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Assessment of Work Loss Associated With Prescription-Related Opioid Use Disorder: A Retrospective Analysis of Claims Data
Journal of Occupational and Environmental Medicine, 2020
2020White AG, Spittle T, Fernan C, Billmyer E, Marrett E, Kwong WJ, Rossiter LF
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September 19, 2024
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May 23, 2024
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November 14, 2023
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June 28, 2022