Bernstam, Elmer V.

Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

Hersh, W. R., Weiner, M. G., Embi, P. J., Logan, J. R., Payne, P. R. O., Bernstam, E. V., Lehmann, H. P., Hripcsak, G., Hartzog, T. H., Cimino, J. J., et al. (2013) · Medical Care

Electronic Health Records SystemsMedical Coding and Health Information

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Social support in an Internet weight loss community

Hwang, K. O., Ottenbacher, A. J., Green, A. P., Cannon-Diehl, M. R., Richardson, O., Bernstam, E. V., & Thomas, E. J. (2010) · International Journal of Medical Informatics

Health Literacy and Information AccessibilityMobile Health and mHealth Applications

Cited by 338

Accuracy and self correction of information received from an internet breast cancer list: content analysis

Esquivel, A., Meric-Bernstam, F., & Bernstam, E. V. (2006) · BMJ

Health Literacy and Information AccessibilityMisinformation and Its Impacts

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A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk

Blair, D. R., Lyttle, C. S., Mortensen, J. M., Bearden, C. F., Jensen, A. B., Khiabanian, H., Melamed, R., Rabadan, R., Bernstam, E. V., Brunak, S., et al. (2013) · Cell

Genetic Associations and EpidemiologyGenomics and Rare Diseases

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A Day in the Life of PubMed: Analysis of a Typical Day's Query Log

Herskovic, J. R., Tanaka, L. Y., Hersh, W., & Bernstam, E. V. (2007) · Journal of the American Medical Informatics Association

Information Retrieval and Search BehaviorLibrary Science and Information Literacy

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Biases introduced by filtering electronic health records for patients with “complete data.”

Weber, G. M., Adams, W. G., Bernstam, E. V., Bickel, J. P., Fox, K. P., Marsolo, K., Raghavan, V. A., Turchin, A., Zhou, X., Murphy, S. N., et al. (2017) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

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SCOR: A secure international informatics infrastructure to investigate COVID-19

Raisaro, J. L., Marino, F., Troncoso-Pastoriza, J., Beau-Lejdstrom, R., Bellazzi, R., Murphy, R., Bernstam, E. V., Wang, H., Bucalo, M., Chen, Y., et al. (2020) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataCOVID-19 Digital Contact Tracing

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Predicting Health‐Related Social Needs in Medicaid and Medicare Populations Using Machine Learning

Holcomb, J., Oliveira, L. C., Highfield, L., Hwang, K. O., Giancardo, L., & Bernstam, E. V. (2022) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare

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Forecasting acute kidney injury and resource utilization in ICU patients using longitudinal, multimodal models

Tan, Y., Dede, M., Mohanty, V., Dou, J., Hill, H., Bernstam, E., & Chen, K. (2024) · Journal of Biomedical Informatics

Machine Learning in HealthcareAcute Kidney Injury Research

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Chasm Between Cancer Quality Measures and Electronic Health Record Data Quality

Schorer, A. E., Moldwin, R., Koskimaki, J., Bernstam, E. V., Venepalli, N. K., Miller, R. S., & Chen, J. L. (2022) · JCO Clinical Cancer Informatics

Electronic Health Records SystemsMedical Coding and Health Information

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