Schnall, R., Sanabria, G., Jia, H., Cho, H., Bushover, B., Reynolds, N. R., Gradilla, M., Mohr, D. C., Ganzhorn, S., & Olender, S. (2022). Efficacy of an mHealth self-management intervention for persons living with HIV: the WiseApp randomized clinical trial. Journal of the American Medical Informatics Association, 30(3), 418–426. https://doi.org/10.1093/jamia/ocac233

Zhang, T. M., Millery, M., Aguirre, A. N., & Kukafka, R. (2022). A randomized controlled trial of generic and localized MedlinePlus-based information resources for hard-to-reach urban Hispanic community. Journal of the American Medical Informatics Association, 30(2), 282–291. https://doi.org/10.1093/jamia/ocac213

Bakken, S. (2023). Advancing phenotyping through informatics innovation. Journal of the American Medical Informatics Association, 30(2), 211–212. https://doi.org/10.1093/jamia/ocac247

Ta, C. N., Zucker, J. E., Chiu, P.-H., Fang, Y., Natarajan, K., & Weng, C. (2022). Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records. Journal of the American Medical Informatics Association, 30(2), 256–272. https://doi.org/10.1093/jamia/ocac208

Bakken, S. (2022). Meeting the information and communication needs of health disparate populations. Journal of the American Medical Informatics Association, 29(11), 1827–1828. https://doi.org/10.1093/jamia/ocac164

Mangal, S., Park, L., Reading Turchioe, M., Choi, J., Niño de Rivera, S., Myers, A., Goyal, P., Dugdale, L., & Masterson Creber, R. (2022). Building trust in research through information and intent transparency with health information: representative cross-sectional survey of 502 US adults. Journal of the American Medical Informatics Association, 29(9), 1535–1545. https://doi.org/10.1093/jamia/ocac084

Fang, Y., Idnay, B., Sun, Y., Liu, H., Chen, Z., Marder, K., Xu, H., Schnall, R., & Weng, C. (2022). Combining human and machine intelligence for clinical trial eligibility querying. Journal of the American Medical Informatics Association, 29(7), 1161–1171. https://doi.org/10.1093/jamia/ocac051

Suri, A., Askari, M., Calder, J., Branas, C., & Rundle, A. (2022). A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership. Journal of the American Medical Informatics Association, 29(5), 958–963. https://doi.org/10.1093/jamia/ocac025

Hobensack, M., Ojo, M., Barrón, Y., Bowles, K. H., Cato, K., Chae, S., Kennedy, E., McDonald, M. V., Rossetti, S. C., Song, J., Sridharan, S., & Topaz, M. (2022). Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians. Journal of the American Medical Informatics Association, 29(5), 805–812. https://doi.org/10.1093/jamia/ocac023

Grauer, A., Kneifati-Hayek, J., Reuland, B., Applebaum, J. R., Adelman, J. S., Green, R. A., Lisak-Phillips, J., Liebovitz, D., Byrd, T. F., Kansal, P., Wilkes, C., Falck, S., Larson, C., Shilka, J., VanDril, E., Schiff, G. D., Galanter, W. L., & Lambert, B. L. (2021). Indication alerts to improve problem list documentation. Journal of the American Medical Informatics Association, 29(5), 909–917. https://doi.org/10.1093/jamia/ocab285

Landau, A. Y., Blanchard, A., Cato, K., Atkins, N., Salazar, S., Patton, D. U., & Topaz, M. (2022). Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study. Journal of the American Medical Informatics Association, 29(3), 512–519. https://doi.org/10.1093/jamia/ocab275

Landau, A. Y., Ferrarello, S., Blanchard, A., Cato, K., Atkins, N., Salazar, S., Patton, D. U., & Topaz, M. (2022). Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions. Journal of the American Medical Informatics Association, 29(3), 576–580. https://doi.org/10.1093/jamia/ocab286

Pho, A. T., Bakken, S., Lunn, M. R., Lubensky, M. E., Flentje, A., Dastur, Z., & Obedin-Maliver, J. (2021). Online health information seeking, health literacy, and human papillomavirus vaccination among transgender and gender-diverse people. Journal of the American Medical Informatics Association, 29(2), 285–295. https://doi.org/10.1093/jamia/ocab150

Maurits, M. P., Korsunsky, I., Raychaudhuri, S., Murphy, S. N., Smoller, J. W., Weiss, S. T., Petukhova, L. M., Weng, C., Wei, W.-Q., Huizinga, T. W. J., Reinders, M. J. T., Karlson, E. W., van den Akker, E. B., & Knevel, R. (2022). A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history. Journal of the American Medical Informatics Association, 29(5), 761–769. https://doi.org/10.1093/jamia/ocac008

Huang, Y., Liu, Y., Steel, P. A. D., Axsom, K. M., Lee, J. R., Tummalapalli, S. L., Wang, F., Pathak, J., Subramanian, L., & Zhang, Y. (2021). Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups. Journal of the American Medical Informatics Association, 28(12), 2641–2653. https://doi.org/10.1093/jamia/ocab203

Idnay, B., Dreisbach, C., Weng, C., & Schnall, R. (2021). A systematic review on natural language processing systems for eligibility prescreening in clinical research. Journal of the American Medical Informatics Association, 29(1), 197–206. https://doi.org/10.1093/jamia/ocab228

Franks, L., Liu, H., Elkind, M. S. V., Reilly, M. P., Weng, C., & Lee, S. M. (2021). Misalignment between COVID-19 hotspots and clinical trial sites. Journal of the American Medical Informatics Association, 28(11), 2461–2466. https://doi.org/10.1093/jamia/ocab167

Rudin, R. S., Perez, S., Rodriguez, J. A., Sousa, J., Plombon, S., Arcia, A., Foer, D., Bates, D. W., & Dalal, A. K. (2021). User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care. Journal of the American Medical Informatics Association, 28(11), 2433–2444. https://doi.org/10.1093/jamia/ocab157

Patra, B. G., Sharma, M. M., Vekaria, V., Adekkanattu, P., Patterson, O. V., Glicksberg, B., Lepow, L. A., Ryu, E., Biernacka, J. M., Furmanchuk, A., George, T. J., Hogan, W., Wu, Y., Yang, X., Bian, J., Weissman, M., Wickramaratne, P., Mann, J. J., Olfson, M., … Pathak, J. (2021). Extracting social determinants of health from electronic health records using natural language processing: a systematic review. Journal of the American Medical Informatics Association, 28(12), 2716–2727. https://doi.org/10.1093/jamia/ocab170

Pichon, A., Jackman, K. B., Winkler, I. T., Bobel, C., & Elhadad, N. (2021). The messiness of the menstruator: assessing personas and functionalities of menstrual tracking apps. Journal of the American Medical Informatics Association, 29(2), 385–399. https://doi.org/10.1093/jamia/ocab212

Kim, E. Y., Grossestreuer, A. V., Safran, C., Nathanson, L. A., & Horng, S. (2021). A visual representation of microbiological culture data improves comprehension: a randomized controlled trial. Journal of the American Medical Informatics Association, 28(9), 1826–1833. https://doi.org/10.1093/jamia/ocab056

Perelman, S. C., Erde, S., Torre, L., & Ansari, T. (2021). Rapid deployment of an algorithm to triage dental emergencies during COVID-19 pandemic. Journal of the American Medical Informatics Association, 28(9), 1996–2001. https://doi.org/10.1093/jamia/ocab045

Fu, L.-H., Knaplund, C., Cato, K., Perotte, A., Kang, M.-J., Dykes, P. C., Albers, D., & Collins Rossetti, S. (2021). Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. Journal of the American Medical Informatics Association, 28(9), 1955–1963. https://doi.org/10.1093/jamia/ocab111

Ostropolets, A., Zachariah, P., Ryan, P., Chen, R., & Hripcsak, G. (2021). Data Consult Service: Can we use observational data to address immediate clinical needs? Journal of the American Medical Informatics Association, 28(10), 2139–2146. https://doi.org/10.1093/jamia/ocab122