BMC Medical Informatics and Decision Making
Displaying 1 - 7 of 7
Michel, A. M., Yi, H., Amenta, J., Collins, N., Vaynrub, A., Umakanth, S., Anderson, G., Arnold, K., Law, C., Pruthi, S., Sandoval-Leon, A., Shirley, R., Perdekamp, M. G., Colonna, S., Krisher, S., King, T., Yee, L. D., Ballinger, T. J., Braun-Inglis, C., … Kukafka, R. (2024). Use of web-based decision support to improve informed choice for chemoprevention: a qualitative analysis of pre-implementation interviews (SWOG S1904). BMC Medical Informatics and Decision Making, 24(1). https://doi.org/10.1186/s12911-024-02691-0
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Columbia Affiliation
Keloth, V. K., Zhou, S., Lindemann, L., Zheng, L., Elhanan, G., Einstein, A. J., Geller, J., & Perl, Y. (2023). Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. BMC Medical Informatics and Decision Making, 23(S1). https://doi.org/10.1186/s12911-023-02136-0
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Columbia Affiliation
Jones, T., Silverman, T., Guzman, A., McGuinness, J. E., Trivedi, M. S., Kukafka, R., & Crew, K. D. (2022). Qualitative analysis of shared decision-making for chemoprevention in the primary care setting: provider-related barriers. BMC Medical Informatics and Decision Making, 22(1). https://doi.org/10.1186/s12911-022-01954-y
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Columbia Affiliation
Sundararajan, V., Le Pogam, M.-A., Southern, D. A., Pincus, H. A., & Ghali, W. A. (2022). Coding mechanisms for diagnosis timing in the International Classification of Diseases, Version 11. BMC Medical Informatics and Decision Making, 21(S6). https://doi.org/10.1186/s12911-022-01990-8
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Columbia Affiliation
Southern, D. A., Harrison, J. E., Romano, P. S., Le Pogam, M.-A., Pincus, H. A., & Ghali, W. A. (2021). The three-part model for coding causes and mechanisms of healthcare-related adverse events. BMC Medical Informatics and Decision Making, 21(S6). https://doi.org/10.1186/s12911-022-01786-w
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Tran, V.-T., Sidorkiewicz, S., Péan, C., & Ravaud, P. (2021). Impact of an interactive web tool on patients’ intention to receive COVID-19 vaccination: a before-and-after impact study among patients with chronic conditions in France. BMC Medical Informatics and Decision Making, 21(1). https://doi.org/10.1186/s12911-021-01594-8
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Columbia Affiliation
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Nichols, E., Abd-Allah, F., Abdoli, A., Abualhasan, A., Abu-Gharbieh, E., Afshin, A., Akinyemi, R. O., Alanezi, F. M., Alipour, V., Almasi-Hashiani, A., Arabloo, J., Ashraf-Ganjouei, A., Ayano, G., Ayuso-Mateos, J. L., Baig, A. A., Banach, M., Barboza, M. A., Barker-Collo, S. L., … Vos, T. (2021). Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study. BMC Medical Informatics and Decision Making, 21(1). https://doi.org/10.1186/s12911-021-01590-y
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