Bakken, S. (2025). Beyond the individual. Journal of the American Medical Informatics Association, 32(3), 415–416. https://doi.org/10.1093/jamia/ocaf020

Campbell, E., Bear Don’t Walk, O. J., Fraser, H., Gichoya, J., Wagholikar, K. B., Kanter, A. S., Holl, F., & Craig, S. (2025). Principles and implementation strategies for equitable and representative academic partnerships in global health informatics research. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocaf015

Dos Santos, F. C., Batey, D. S., Kay, E. S., Jia, H., Wood, O. R., Abua, J. A., Olender, S. A., & Schnall, R. (2025). The effect of a combined mHealth and community health worker intervention on HIV self-management. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae322

Bakken, S. (2024). Advancing a learning health system through biomedical and health informatics. Journal of the American Medical Informatics Association, 32(1), 1–2. https://doi.org/10.1093/jamia/ocae307

Conover, M. M., Ryan, P. B., Chen, Y., Suchard, M. A., Hripcsak, G., & Schuemie, M. J. (2025). Objective study validity diagnostics: a framework requiring pre-specified, empirical verification to increase trust in the reliability of real-world evidence. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae317

Zolnoori, M., Zolnour, A., Vergez, S., Sridharan, S., Spens, I., Topaz, M., Noble, J. M., Bakken, S., Hirschberg, J., Bowles, K., Onorato, N., & McDonald, M. V. (2024). Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae300

Bakken, S., Sang, E., & de Brujin, B. (2024). Returning value to communities from the All of Us Research Program through innovative approaches for data use, analysis, dissemination, and research capacity building. Journal of the American Medical Informatics Association, 31(12), 2773–2780. https://doi.org/10.1093/jamia/ocae276

Scroggins, J. K., Hulchafo, I. I., Harkins, S., Scharp, D., Moen, H., Davoudi, A., Cato, K., Tadiello, M., Topaz, M., & Barcelona, V. (2024). Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae290

Schnall, R., Scherr, T. F., Kuhns, L. M., Janulis, P., Jia, H., Wood, O. R., Almodovar, M., & Garofalo, R. (2024). Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae261

Xu, Z., Scharp, D., Hobensek, M., Ye, J., Zou, J., Ding, S., Shang, J., & Topaz, M. (2024). Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae278

Idnay, B., Zhang, G., Chen, F., Ta, C. N., Schelke, M. W., Marder, K., & Weng, C. (2024). Mini-mental status examination phenotyping for Alzheimer’s disease patients using both structured and narrative electronic health record features. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae274

Patra, B. G., Lepow, L. A., Kasi Reddy Jagadeesh Kumar, P., Vekaria, V., Sharma, M. M., Adekkanattu, P., Fennessy, B., Hynes, G., Landi, I., Sanchez-Ruiz, J. A., Ryu, E., Biernacka, J. M., Nadkarni, G. N., Talati, A., Weissman, M., Olfson, M., Mann, J. J., Zhang, Y., Charney, A. W., & Pathak, J. (2024). Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae260

Xu, Z., Evans, L., Song, J., Chae, S., Davoudi, A., Bowles, K. H., McDonald, M. V., & Topaz, M. (2024). Exploring home healthcare clinicians’ needs for using clinical decision support systems for early risk warning. Journal of the American Medical Informatics Association, 31(11), 2641–2650. https://doi.org/10.1093/jamia/ocae247

Bakken, S. (2024). Firearm injury risk detection and prevention. Journal of the American Medical Informatics Association, 31(10), 2163–2164. https://doi.org/10.1093/jamia/ocae245

Koleck, T. A., Dreisbach, C., Zhang, C., Grayson, S., Lor, M., Deng, Z., Conway, A., Higgins, P. D. R., & Bakken, S. (2024). User guide for Social Determinants of Health Survey data in the All of Us Research Program. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae214

Krithara, A., Nentidis, A., Vandorou, E., Katsimpras, G., Almirantis, Y., Arnal, M., Bunevicius, A., Farre-Maduell, E., Kassiss, M., Konstantakos, V., Matis-Mitchell, S., Polychronopoulos, D., Rodriguez-Pascual, J., Samaras, E. G., Samiotaki, M., Sanoudou, D., Vozi, A., & Paliouras, G. (2024). BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae232

Northrop, A., Christofferson, A., Umashankar, S., Melisko, M., Castillo, P., Brown, T., Heditsian, D., Brain, S., Simmons, C., Hieken, T., Ruddy, K. J., Mainor, C., Afghahi, A., Tevis, S., Blaes, A., Kang, I., Asare, A., Esserman, L., Hershman, D. L., & Basu, A. (2024). Implementation and impact of an electronic patient reported outcomes system in a phase II multi-site adaptive platform clinical trial for early-stage breast cancer. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae190

Bakken, S. (2024). Standards and frameworks. Journal of the American Medical Informatics Association, 31(8), 1629–1630. https://doi.org/10.1093/jamia/ocae163

Reading Turchioe, M., Kisselev, S., Fan, R., & Bakken, S. (2024). Returning value from the All of Us research program to PhD-level nursing students using ChatGPT as programming support: results from a mixed-methods experimental feasibility study. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae208

Beaton, M., Jiang, X., Minto, E., Lau, C. Y., Turner, L., Hripcsak, G., Chaudhari, K., & Natarajan, K. (2024). Using patient portals for large-scale recruitment of individuals underrepresented in biomedical research: an evaluation of engagement patterns throughout the patient portal recruitment process at a single site within the All of Us Research Program. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae135

Liu, Y., Joly, R., Reading Turchioe, M., Benda, N., Hermann, A., Beecy, A., Pathak, J., & Zhang, Y. (2024). Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system. Journal of the American Medical Informatics Association, 31(6), 1258–1267. https://doi.org/10.1093/jamia/ocae056

Dos Santos, F. C., Johnson, L. G., Madandola, O. O., Priola, K. J. B., Yao, Y., Macieira, T. G. R., & Keenan, G. M. (2024). An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae116

Zhang, D., Tong, J., Jing, N., Yang, Y., Luo, C., Lu, Y., Christakis, D. A., Güthe, D., Hornig, M., Kelleher, K. J., Morse, K. E., Rogerson, C. M., Divers, J., Carroll, R. J., Forrest, C. B., & Chen, Y. (2024). Learning competing risks across multiple hospitals: one-shot distributed algorithms. Journal of the American Medical Informatics Association, 31(5), 1102–1112. https://doi.org/10.1093/jamia/ocae027

Idnay, B., Liu, J., Fang, Y., Hernandez, A., Kaw, S., Etwaru, A., Juarez Padilla, J., Ramírez, S. O., Marder, K., Weng, C., & Schnall, R. (2024). Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias. Journal of the American Medical Informatics Association, 31(5), 1062–1073. https://doi.org/10.1093/jamia/ocae032

Daniels, B., McGinnis, C., Topaz, L. S., Greenwald, P., Turchioe, M. R., Creber, R. M. M., & Sharma, R. (2024). Bridging the digital health divide—patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity. Journal of the American Medical Informatics Association, 31(4), 875–883. https://doi.org/10.1093/jamia/ocae007

Haug, M., Oja, M., Pajusalu, M., Mooses, K., Reisberg, S., Vilo, J., Giménez, A. F., Falconer, T., Danilović, A., Maljkovic, F., Dawoud, D., & Kolde, R. (2024). Markov modeling for cost-effectiveness using federated health data network. Journal of the American Medical Informatics Association, 31(5), 1093–1101. https://doi.org/10.1093/jamia/ocae044

Bakken, S., Cimino, J. J., Feldman, S., & Lorenzi, N. M. (2024). Celebrating Eta Berner and her influence on biomedical and health informatics. Journal of the American Medical Informatics Association, 31(3), 549–551. https://doi.org/10.1093/jamia/ocae011

Stonbraker, S., Sanabria, G., Tagliaferri Rael, C., George, M., Amesty, S., Abraído-Lanza, A. F., Rowell-Cunsolo, T., Centi, S., McNair, B., Bakken, S., & Schnall, R. (2023). A pilot test of an infographic-based health communication intervention to enhance patient education among Latino persons with HIV. Journal of the American Medical Informatics Association, 31(2), 329–341. https://doi.org/10.1093/jamia/ocad157

Arcia, A., Benda, N. C., & Wu, D. T. Y. (2024). Advancing the science of visualization of health data for lay audiences. Journal of the American Medical Informatics Association, 31(2), 283–288. https://doi.org/10.1093/jamia/ocad255

Brin, M., Trujillo, P., Huang, M.-C., Cioe, P., Chen, H., Xu, W., & Schnall, R. (2023). Development and evaluation of visualizations of smoking data for integration into the Sense2Quit app for tobacco cessation. Journal of the American Medical Informatics Association, 31(2), 354–362. https://doi.org/10.1093/jamia/ocad162

Ancker, J. S., Benda, N. C., & Zikmund-Fisher, B. J. (2023). Do you want to promote recall, perceptions, or behavior? The best data visualization depends on the communication goal. Journal of the American Medical Informatics Association, 31(2), 525–530. https://doi.org/10.1093/jamia/ocad137

Casillan, A., Florido, M. E., Galarza-Cornejo, J., Bakken, S., Lynch, J. A., Chung, W. K., Mittendorf, K. F., Berner, E. S., Connolly, J. J., Weng, C., Holm, I. A., Khan, A., Kiryluk, K., Limdi, N. A., Petukhova, L., Sabatello, M., & Wynn, J. (2023). Participant-guided development of bilingual genomic educational infographics for Electronic Medical Records and Genomics Phase IV study. Journal of the American Medical Informatics Association, 31(2), 306–316. https://doi.org/10.1093/jamia/ocad207

Mangal, S., Berger, L., Bruzzese, J.-M., de la Cruz, A., Lor, M., Naqvi, I. A., Solis de Ovando, E., Spiegel-Gotsch, N., Stonbraker, S., & Arcia, A. (2023). Seeing things the same way: perspectives and lessons learned from research-design collaborations. Journal of the American Medical Informatics Association, 31(2), 542–547. https://doi.org/10.1093/jamia/ocad124

Zolnoori, M., Sridharan, S., Zolnour, A., Vergez, S., McDonald, M. V., Kostic, Z., Bowles, K. H., & Topaz, M. (2023). Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare. Journal of the American Medical Informatics Association, 31(2), 435–444. https://doi.org/10.1093/jamia/ocad195

Desai, P. M., Harkins, S., Rahman, S., Kumar, S., Hermann, A., Joly, R., Zhang, Y., Pathak, J., Kim, J., D’Angelo, D., Benda, N. C., & Reading Turchioe, M. (2023). Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. Journal of the American Medical Informatics Association, 31(2), 289–297. https://doi.org/10.1093/jamia/ocad198

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

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

Dunn Lopez, K., Heermann Langford, L., Kennedy, R., McCormick, K., Delaney, C. W., Alexander, G., Englebright, J., Carroll, W. M., & Monsen, K. A. (2023). Future advancement of health care through standardized nursing terminologies: reflections from a Friends of the National Library of Medicine workshop honoring Virginia K. Saba. Journal of the American Medical Informatics Association, 30(11), 1878–1884. https://doi.org/10.1093/jamia/ocad156

Song, J., Min, S. H., Chae, S., Bowles, K. H., McDonald, M. V., Hobensack, M., Barrón, Y., Sridharan, S., Davoudi, A., Oh, S., Evans, L., & Topaz, M. (2023). Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care. Journal of the American Medical Informatics Association, 30(11), 1801–1810. https://doi.org/10.1093/jamia/ocad101

Zolnoori, M., Vergez, S., Sridharan, S., Zolnour, A., Bowles, K., Kostic, Z., & Topaz, M. (2023). Is the patient speaking or the nurse? Automatic speaker type identification in patient–nurse audio recordings. Journal of the American Medical Informatics Association, 30(10), 1673–1683. https://doi.org/10.1093/jamia/ocad139

Chae, S., Davoudi, A., Song, J., Evans, L., Hobensack, M., Bowles, K. H., McDonald, M. V., Barrón, Y., Rossetti, S. C., Cato, K., Sridharan, S., & Topaz, M. (2023). Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model. Journal of the American Medical Informatics Association, 30(10), 1622–1633. https://doi.org/10.1093/jamia/ocad129

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

Grauer, A., Rosen, A., Applebaum, J. R., Carter, D., Reddy, P., Dal Col, A., Kumaraiah, D., Barchi, D. J., Classen, D. C., & Adelman, J. S. (2023). Examining medication ordering errors using AHRQ network of patient safety databases. Journal of the American Medical Informatics Association, 30(5), 838–845. https://doi.org/10.1093/jamia/ocad007

Ostropolets, A., Albogami, Y., Conover, M., Banda, J. M., Baumgartner, W. A., Blacketer, C., Desai, P., DuVall, S. L., Fortin, S., Gilbert, J. P., Golozar, A., Ide, J., Kanter, A. S., Kern, D. M., Kim, C., Lai, L. Y. H., Li, C., Liu, F., Lynch, K. E., … Ryan, P. B. (2023). Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. Journal of the American Medical Informatics Association, 30(5), 859–868. https://doi.org/10.1093/jamia/ocad009

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

Dougherty, K., Hobensack, M., & Bakken, S. (2022). Scoping review of health information technology usability methods leveraged in Africa. Journal of the American Medical Informatics Association, 30(4), 726–737. https://doi.org/10.1093/jamia/ocac236

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