Niam Yaraghi is an assistant professor of Operations and Information Management at the University of Connecticut’s School of Business and a non-resident fellow in the Brookings Institution’s Center for Technology Innovation. His research is focused on the economics of health information technologies. In particular, Niam studies the business models and policy structures that incentivize transparency, interoperability and sharing of health information among patients, providers, payers and regulators. He empirically examines the subsequent impact of such efforts on cost and quality of care. Niam’s ongoing research topics include health information exchange platforms, patient privacy, and healthcare evaluation and rating systems.
He has a B.Sc in Industrial Engineering from the Isfahan University of Technology in Iran, and a M.Sc from the Royal Institute of Technology in Sweden. He received his Ph.D. in Management Science & Systems from the State University of New York at Buffalo.
Areas of Expertise (4)
State University of New York at Buffalo: Ph.D.
Royal Institute of Technology: M.Sc.
Isfahan University of Technology: B.Sc.
Privacy Scholars Fellowship, Antonin Scalia Law School (professional)
George Mason University
Young Researcher Award (professional)
Workshop on Health Information Technology & Economics
Fifty Leaders in Health IT (professional)
Becker’s Health IT and CIO Review
Media Appearances (6)
Grindr provided users’ information — including HIV status — to analytics companies
New York Daily News print
Niam Yaraghi, an assistant professor at the University of Connecticut's School of Business and a nonresident fellow at the Brookings Institution who has examined the sharing of patients' health care information, said Grindr likely didn't break the law.
He said federal Health Insurance Portability and Accountability Act — or HIPAA — bars medical providers and their business associates from disclosing patients' health records. However, that law doesn't apply to private businesses who aren't in the medical world, he said.
Still he said there were ramifications for Grindr.
"The breach of trust of the user is the most important thing here," Yaraghi said.
When choosing a doctor, patients prefer online reviews to government ratings
Brookings Institute online
While the government has expended substantial resources on clinical quality ratings, our study indicates a need to acknowledge the importance of non-clinical measures also. This is consistent with the recent CMS efforts and policy recommendations to tie reimbursements to patient satisfaction, writes Niam Yaraghi.
Gig workers: Your paycheck could be in bitcoin sooner than you think
Gig economy workers are often in financially uncertain situations to begin with, and paychecks in bitcoin will make life more risky for them, said Niam Yaraghi, assistant professor at the University of Connecticut's business school and co-author of a recent report on the sharing economy.
"If I say this year I'm spending one-tenth of a bitcoin on office supplies, how much will I be spending next year in bitcoin?" said Yaraghi. "I don't think there's anyone in the world who can answer that question. It's very, very dangerous."
Widespread use of HIEs would save Medicare $63M
Fierce Healthcare online
The study, authored by Niam Yaraghi, a fellow at The Brookings Institution, and several colleagues at the University of Connecticut and the State University of New York at Buffalo, evaluated data from HEALTHeLINK, a regional HIE in western New York. (...)
Using Patient Fingerprints to Break Down Medical Record Silos
MIT Technology review online
Niam Yaraghi, a fellow at the Brookings Institution who studies healthcare IT, says that CrossChx has made impressive progress on a longtime problem for the U.S. health system. (...)
Why Anti-Obamacare Ads Actually Increased Obamacare Enrollment
The Atlantic online
Niam Yaraghi, a researcher at the Brookings Institution recently tried to determine the impacts these ads had on enrollment. (...)
Event Appearances (3)
Optimizing the Nursing Homes’ Rating System
Workshop on Information Technologies & Systems Seoul, Korea
Designing Incentive-Pricing Mechanisms to Promote Health Information Exchange
Workshop on Information Technologies & Systems Seoul, Korea
Non-Clinical Ratings Provided by Commercial Websites and Clinical Ratings Provided by the Government are Equally Important for Online Users: A Controlled Experimental Survey Study
Conference on Health IT and Analytics Washington, D.C
Saeede Eftekhari, Niam Yaraghi, Ram Gopal, Ram Ramesh
The objective of this study is to identify the value that Health Information Exchanges (HIE) implemented in the U.S. healthcare system brings for physicians in referral processes. Mainly, we argue that a primary care physician who has adopted HIE is connected with more specialists in the referral network than another physician who has not adopted HIE. This enables her to make a better decision in a referral process with regards to selecting an appropriate specialist. Second, we argue that HIE brings a competitive advantage for specialists; a specialist who has adopted HIE becomes more popular in the referral network than other specialists. We further argue that a primary care physician who has adopted HIE tends to refer to the specialists who have also adopted HIE. This study provides an insight on the benefits of HIE to physicians in referral processes which in turn encourage more physicians to adopt it.
Saeede Eftekhari, Niam Yaraghi, Ranjit Singh, Ram D Gopal, Ram Ramesh
Repetition of medical services by providers is one of the major sources of healthcare costs. The lack of access to previous medical information on a patient at the point of care often leads a physician to perform medical procedures that have already been done. Multiple healthcare initiatives and legislation at both the federal and state levels have mandated Health Information Exchange (HIE) systems to address this problem. This study aims to assess the extent to which HIE could reduce these repetitions, using data from Centers for Medicare 8 Medicaid Services and a regional HIE organization. A 2-Stage Least Square model is developed to predict the impact of HIE on repetitions of two classes of procedures: diagnostic and therapeutic. The first stage is a predictive analytic model that estimates the duration of tenure of each HIE member-practice. Based on these estimates, the second stage predicts the effect of providers’ HIE tenure on their repetition of medical services. The model incorporates moderating effects of a federal quality assurance program and the complexity of medical procedures with a set of control variables. Our analyses show that a practice's tenure with HIE significantly lowers the repetition of therapeutic medical procedures, while diagnostic procedures are not impacted. The medical reasons for the effects observed in each class of procedures are discussed. The results will inform healthcare policymakers and provide insights on the business models of HIE platforms.
Niam Yaraghi, Raj Sharman, Ram Gopal, Ranjit Singh, R Ramesh
The objective of this research is to empirically explore the drivers of patients’ consent to sharing of their medical records on health information exchange (HIE) platforms.
To examine the impact of health information exchange (HIE) on reducing laboratory tests and radiology examinations performed in an emergency department (ED).
Niam Yaraghi, Anna Ye Du, Raj Sharman, Ram D Gopal, Ram Ramesh
Health Information Exchanges (HIE) are becoming integral parts of the national healthcare reform efforts, chiefly because of their potential impact on cost reduction and quality enhancement in healthcare services. However, the potential of an HIE platform can only be realized when its multiple constituent users actively participate in using its variety of services. In this research, we model HIE systems as multisided platforms that incorporate self-service technologies whose value to the users depends on both user-specific and network-specific factors. We develop a model of adoption, use, and involvement of clinical practices in the coproduction of the HIE services. This model is grounded in social network theory, service operations theory, and institutional isomorphism theory. A longitudinal study of actual adoption and use behaviors of 2,054 physicians within 430 community medical practices in Western New York over a three-year period has been carried out to evaluate the proposed model. This study has been supported by HEALTHeLINK, the Regional Health Information Organization of Western New York, which has an extensive database comprising over half a million transactions on patient records by the HIE users. We extracted panel data on adoption, use, and service coproduction behaviors from this database and carried out a detailed analysis using metrics derived from the foundational theories. Positioning practices within two distinct but interrelated networks of patients and practitioners, we show that adoption, use, and service coproduction behaviors are influenced by the topographies of the two networks, isomorphic effects of large practices on the smaller ones, and practice labor inputs in HIE use. Our findings provide a comprehensive view of the drivers of HIE adoption and use at the level of medical practices. These results have implications for marketing and revenue management of HIE platforms, as well as public health and national/regional healthcare policy making.