Impact of Health Information Technology in Healthcare

Displaying 1 - 13 of 13CSV
Reich, C., Ostropolets, A., Ryan, P., Rijnbeek, P., Schuemie, M., Davydov, A., Dymshyts, D., & Hripcsak, G. (2024). OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization. Journal of the American Medical Informatics Association, 31(3), 583–590. https://doi.org/10.1093/jamia/ocad247
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Ostropolets, A., Hripcsak, G., Husain, S. A., Richter, L. R., Spotnitz, M., Elhussein, A., & Ryan, P. B. (2023). Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records. Journal of the American Medical Informatics Association, 31(1), 119–129. https://doi.org/10.1093/jamia/ocad202
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Kim, J. S., Vivas, A., Arvind, V., Lombardi, J., Reidler, J., Zuckerman, S. L., Lee, N. J., Vulapalli, M., Geng, E. A., Cho, B. H., Morizane, K., Cho, S. K., Lehman, R. A., Lenke, L. G., & Riew, K. D. (2022). Can Natural Language Processing and Artificial Intelligence Automate The Generation of Billing Codes From Operative Note Dictations? Global Spine Journal, 13(7), 1946–1955. https://doi.org/10.1177/21925682211062831
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Moy, A. J., Withall, J., Hobensack, M., Yeji Lee, R., Levy, D. R., Rossetti, S. C., Rosenbloom, S. T., Johnson, K., & Cato, K. (2023). Eliciting Insights From Chat Logs of the 25X5 Symposium to Reduce Documentation Burden: Novel Application of Topic Modeling. Journal of Medical Internet Research, 25, e45645. https://doi.org/10.2196/45645
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Kneifati-Hayek, J. Z., Applebaum, J. R., Schechter, C. B., Dal Col, A., Salmasian, H., Southern, W. N., & Adelman, J. S. (2023). Effect of restricting electronic health records on clinician efficiency: substudy of a randomized clinical trial. Journal of the American Medical Informatics Association, 30(5), 953–957. https://doi.org/10.1093/jamia/ocad025
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Moy, A. J., Hobensack, M., Marshall, K., Vawdrey, D. K., Kim, E. Y., Cato, K. D., & Rossetti, S. C. (2023). Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments. Journal of the American Medical Informatics Association, 30(5), 797–808. https://doi.org/10.1093/jamia/ocad038
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Elias, J., Gossey, J. T., Xi, W., Sharko, M., Robbins, L., Bostwick, S., Chang, J., Lorenzi, V., Giatzikis, V., Scofi, J., Trepp, R., & Lewis, R. (2023). Sharing Clinical Notes while Protecting Adolescent Confidentiality and Maintaining Parental Insight. Applied Clinical Informatics, 14(03), 555–565. CLOCKSS. https://doi.org/10.1055/a-2084-4650
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Nekrasova, E., Fiks, A. G., Wynn, C., Torres, A., Griffith, M., Shone, L. P., Localio, R., Shults, J., Unger, R., Ware, L. A., & Stockwell, M. S. (2023). Pediatric Practices’ Perceptions of Text Message Communication with Families: An American Academy of Pediatrics (AAP), Pediatric Research in Office Settings (PROS) Study. ACI Open, 07(01), e8–e15. CLOCKSS. https://doi.org/10.1055/s-0043-1763270
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Ramirez, A. H., Sulieman, L., Schlueter, D. J., Halvorson, A., Qian, J., Ratsimbazafy, F., Loperena, R., Mayo, K., Basford, M., Deflaux, N., Muthuraman, K. N., Natarajan, K., Kho, A., Xu, H., Wilkins, C., Anton-Culver, H., Boerwinkle, E., Cicek, M., Clark, C. R., … Zwick, M. E. (2022). The All of Us Research Program: Data quality, utility, and diversity. Patterns, 3(8), 100570. https://doi.org/10.1016/j.patter.2022.100570
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Hobensack, M., Levy, D. R., Cato, K., Detmer, D. E., Johnson, K. B., Williamson, J., Murphy, J., Moy, A., Withall, J., Lee, R., Rossetti, S. C., & Rosenbloom, S. T. (2022). 25 × 5 Symposium to Reduce Documentation Burden: Report-out and Call for Action. Applied Clinical Informatics, 13(02), 439–446. CLOCKSS. https://doi.org/10.1055/s-0042-1746169
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Touson, J. C., Azad, N., Beirne, J., Depue, C. R., Crimmins, T. J., Overdevest, J., & Long, R. (2022). Application of the Consolidated Framework for Implementation Research Model to Design and Implement an Optimization Methodology within an Ambulatory Setting. Applied Clinical Informatics, 13(01), 123–131. CLOCKSS. https://doi.org/10.1055/s-0041-1741479
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Senathirajah, Y., Cho, H., Fawcett, J., Mondejar, K. M., Cato, K., Broadwell, P., & Yoon, S. (2022). Application of Natural Language Processing to Learn Insights on the Clinician’s Lived Experience of Electronic Health Records. Informatics and Technology in Clinical Care and Public Health. https://doi.org/10.3233/shti210864
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