Published Papers
2025
Jonassen, Z., Lawrence, K., Wiesenfeld, B.M., Feuerriegel, S., Mann, D. (2025). A qualitative analysis of remote patient monitoring: How a paradox mindset can support balancing emotional tensions in the design of healthcare technologies. Proceedings of the ACM on Human Computer Interaction. Vol. 9 No. CSCW2 November 2025.
2024
Mendel, T., Nov, O., Wiesenfeld, B.M. (2024). Advice from a doctor or AI? Understanding willingness to disclose information through remote patient monitoring to receive health advice. Proceedings of the ACM on Human Computer Interaction. Vol. 8 No. CSCW2 Article 386.
Malhotra, K., Wiesenfeld, B., Major, V.J., Grover, H., Aphinyanaphongs, Y., Testa, P., Austrian, J.S. (2024). Health system-wide access to generative artificial intelligence: The NYU Langone Health experience. Journal of American Medical Informatics Association.
Genes, N., Simon, G., Koziatek, C., Koesmahargyo, V., Mbachu, C., Wiesenfeld, B., ... & Wittman, I. (2024). 5 Generative AI Summaries to Facilitate Emergency Department Handoff. Annals of Emergency Medicine, 84(4), S3.
Small, W. R., Wiesenfeld, B., Brandfield-Harvey, B., Jonassen, Z., Mandal, S., Stevens, E. R., ... & Mann, D. (2024). Large Language Model–Based Responses to Patients’ In-Basket Messages. JAMA Network Open, 7(7), e2422399-e2422399.
Mandal, S., Wiesenfeld, B.M., Mann, D., Szerencsy, A.D., Iturrate, E., Nov, O. (2024). Quantifying the impact of telemedicine and patient medical advice requests on physicians’ work outside work. NPJ Digital Medicine, 7, 1, 35.
Small, W.R., Malhotra, K., Major, V.J., Wiesenfeld, B., Lewis, M., Grover, H., Tang, H., Banerjee, A., Jabbour, M.J., Aphinyanaphongs, Y. and Testa, P. (2024). The first generative AI Prompt-A-Thon in healthcare: A novel approach to workforce engagement with a private instance of ChatGPT. PLOS Digital Health, 3(7), p.e0000394.
Coff, J., Yang, E., Assavabhokhin, A., & Wiesenfeld, B.M. (2024). Molded by the Ghost: How Physicians Use–and Cease Using–Predictive AI to Learn a Mental Model. In Academy of Management Proceedings (Vol. 2024, No. 1, p. 15509). Valhalla, NY 10595: Academy of Management.
Dickstein, M.J., Ho, K. and Mark, N., 2024. Market segmentation and competition in health insurance. Journal of Political Economy, 132(1), pp.96-148.
Gupta, A., Howell, S.T., and Yannelis, C., 2024. Owner incentives and performance in healthcare: Private equity investment in nursing homes. The Review of Financial Studies, 37(4), pp.1029-1077.
2023
Lebovitz, S., Lifshitz-Assaf, H. and Levina, N., 2023. The No. 1 question to ask when evaluating AI tools. MIT Sloan Management Review.
Baek, J., Boutilier, J.J., Farias, V.F., Jonasson, J.O. and Yoeli, E., 2023. Policy optimization for personalized interventions in behavioral health. arXiv preprint arXiv:2303.12206.
2022
Wiesenfeld, B.M., Aphinyannaphongs, Y.A., Nov, O. (2022). Model transferability in healthcare: A sociotechnical perspective. Nature Machine Intelligence, 4(10), 807-809.
Mandal, S., Wiesenfeld, B., Mann, D., Lawrence, K., Chunara, R., Testa, P., Nov, O. (2022). Evidence for telemedicine’s ongoing transformation of healthcare delivery since the onset of Covid-19: A retrospective observational study. JMIR Formative Research, 6(10), e38661.
Lawrence, K., Nov, O., Mann, D., Mandal, S., Iturrate, E., & Wiesenfeld, B. (2022). The Impact of Telemedicine on Physicians’ After-hours Electronic Health Record “Work Outside Work” During the COVID-19 Pandemic: Retrospective Cohort Study. JMIR Medical Informatics, 10(7), e34826.
Lebovitz, S., Lifshitz-Assaf, H. and Levina, N., 2022. To engage or not to engage with AI for critical judgments: How professionals deal with opacity when using AI for medical diagnosis. Organization science, 33(1), pp.126-148.
Desai, S.M., Chen, A.Z., Wang, J., Chung, W.Y., Stadelman, J., Mahoney, C., Szerencsy, A., Anzisi, L., Mehrotra, A. and Horwitz, L.I., 2022. Effects of real-time prescription benefit recommendations on patient out-of-pocket costs: a cluster randomized clinical trial. JAMA Internal Medicine, 182(11), pp.1129-1137.
2021
Nov, O., Dove, G., Balestra, M., Lawrence, K., Mann, D., Wiesenfeld, B.M. (2021). Preferences and patterns of response to public health advice during the COVID-19 pandemic. Scientific Reports. 11(1), 1-7.
Nov, O., Aphinyanaphongs, Y., Lui, Y., Mann, D., Porfiri, M., Riedl, M., Rizzo, J.R., Wiesenfeld, B.M. (2021). The transformation of patient-clinician relationships with AI-based medical advice. Communications of the ACM, 64, 3, 41-43.
Lebovitz, S., Levina, N. and Lifshitz-Assaf, H., 2021. Is AI Ground Truth Really True? The Danger of Training and Evaluating AI Tools Based on Expert's Know-What. MIS quarterly, 45(3).
Desai, S.M., Shambhu, S. and Mehrotra, A., 2021. Online Advertising Increased New Hampshire Residents’ Use Of Provider Price Tool But Not Use Of Lower-Price Providers: Study examines results of online advertising campaign to increase consumer awareness about price information available on New Hampshire’s public price transparency website. Health Affairs, 40(3), pp.521-528.
2019
Chan, D., Dickstein, M. (2019) “Industry Input in Policymaking: Evidence from Medicare” Quarterly Journal of Economics, Volume 13 (3), 1299-1342.
2018
Desai, S. and McWilliams, J.M., 2018. Consequences of the 340B drug pricing program. New England Journal of Medicine, 378(6), pp.539-548.
2016
Schilling, M.A., 2016. Unraveling Alzheimer’s: making sense of the relationship between diabetes and Alzheimer’s disease. Journal of Alzheimer's disease, 51(4), pp.961-977.
Desai, S., Hatfield, L.A., Hicks, A.L., Chernew, M.E. and Mehrotra, A., 2016. Association between availability of a price transparency tool and outpatient spending. Jama, 315(17), pp.1874-1881.
2015
Dickstein, M.J., Duggan, M., Orsini, J. and Tebaldi, P., 2015. The impact of market size and composition on health insurance premiums: Evidence from the first year of the affordable care act. American Economic Review, 105(5), pp.120-125.