Jeremy Nighohossian, Ph.D. is an expert in analytics and modeling, providing support to clients on issues related to the intersection of health economics and public policy.
Dr. Nighohossian has conducted many analyses using discrete choice methods to help predict where patients would seek treatment among several alternatives. He has done so within the context of antitrust analysis to estimate bargaining power, damages analysis to calculate revenues lost from changes in payer networks and in areas where falling demand threatened to close hospitals.
Dr. Nighohossian also has extensive experience with demand modeling. He used time series methods to forecast demand for hospitals in the UK and microsimulation to predict the prevalence of cancer and the eventual demand for medical services that those patients would require. In several of those projects, he conducted research into the payments involved in order to project the revenue that those facilities could expect.
Dr. Nighohossian has experience applying a multitude of econometric and forecasting techniques to provide insights to hospitals and communities about healthcare. In addition to those mentioned above, he has used stochastic frontier estimation and conditional and multinomial logit models.
Dr. Nighohossian has worked extensively on New York DSRIP projects and led the analysis team that supported the Niagara Falls PPS’s grant application and continued in that role supporting the Millennium PPS’s DSRIP application. In doing so, he worked extensively with NY SPARCS data as well as became especially familiar with the structure of the DSRIP initiative and the metrics involved.
As part of that experience, Dr. Nighohossian also worked with many of NY’s data sources in order to extract relevant information for the region including additional calculations using the data when needed. These sources included CAHPS data, the New York Vital Statistics, and the Expanded Behavioral Risk Factor Surveillance System.
These NY sources augmented other sources including the US Census, which is used often to obtain a number of metrics for various geographies, including ZIP, county, and state level data using the ACS 1-, 3-, and 5- year estimates. Dr. Nighohossian has worked in general topics such as population estimates and the more granular information provided within the surveys and the census itself.
Dr. Nighohossian has also conducted research using the Medicare Beneficiary Survey and the Medicare Standard Analytic File, which provide IP discharge data and outpatient visit information for the entirety of the Medicare population. He has worked extensively on projects involving analyses of state-wide inpatient and outpatient data including SPARCS for assessment of market shares and potential opportunities from transactions or partnerships.
Dr. Nighohossian has used SPARCS and other state discharge data in consumer discrete choice models to understand how patients would react to hospital closures or service line reconfigurations in NY. He has set up and maintained SPARCS data held onsite, including inpatient and the full outpatient files from 2011 to 2014 and has worked extensively with modeling of larger datasets from other states.
Dr. Nighohossian completed his Ph.D. at Texas A&M University under Dr. Li Gan. His dissertation focused on various topics at the intersection of Health Economics and Public Policy—how ownership affects hospital efficiency, how ownership influences insurance companies’ participation in the Medicare Advantage market, and the consumer welfare benefits of the Medicare Advantage program.
Before Dr. Nighohossian began his graduate program in Economics, he earned a degree in Chemical Engineering at the University of Illinois Urbana Champaign.