Celebrating Eta Berner and her influence on biomedical and health informatics.
Author(s): Bakken, Suzanne, Cimino, James J, Feldman, Sue, Lorenzi, Nancy M
DOI: 10.1093/jamia/ocae011
Author(s): Bakken, Suzanne, Cimino, James J, Feldman, Sue, Lorenzi, Nancy M
DOI: 10.1093/jamia/ocae011
Conduct a scoping review to identify the approaches used to integrate digital literacy into undergraduate pharmacy programs across different countries, focusing on methods for education, training, and assessment.
Author(s): Alowais, Mashael, Rudd, Georgina, Besa, Victoria, Nazar, Hamde, Shah, Tejal, Tolley, Clare
DOI: 10.1093/jamia/ocad223
Surgical outcome prediction is challenging but necessary for postoperative management. Current machine learning models utilize pre- and post-op data, excluding intraoperative information in surgical notes. Current models also usually predict binary outcomes even when surgeries have multiple outcomes that require different postoperative management. This study addresses these gaps by incorporating intraoperative information into multimodal models for multiclass glaucoma surgery outcome prediction.
Author(s): Lin, Wei-Chun, Chen, Aiyin, Song, Xubo, Weiskopf, Nicole G, Chiang, Michael F, Hribar, Michelle R
DOI: 10.1093/jamia/ocad213
To construct an exhaustive Complementary and Integrative Health (CIH) Lexicon (CIHLex) to help better represent the often underrepresented physical and psychological CIH approaches in standard terminologies, and to also apply state-of-the-art natural language processing (NLP) techniques to help recognize them in the biomedical literature.
Author(s): Zhou, Huixue, Austin, Robin, Lu, Sheng-Chieh, Silverman, Greg Marc, Zhou, Yuqi, Kilicoglu, Halil, Xu, Hua, Zhang, Rui
DOI: 10.1093/jamia/ocad216
Developing targeted, culturally competent educational materials is critical for participant understanding of engagement in a large genomic study that uses computational pipelines to produce genome-informed risk assessments.
Author(s): Casillan, Aimiel, Florido, Michelle E, Galarza-Cornejo, Jamie, Bakken, Suzanne, Lynch, John A, Chung, Wendy K, Mittendorf, Kathleen F, Berner, Eta S, Connolly, John J, Weng, Chunhua, Holm, Ingrid A, Khan, Atlas, Kiryluk, Krzysztof, Limdi, Nita A, Petukhova, Lynn, Sabatello, Maya, Wynn, Julia
DOI: 10.1093/jamia/ocad207
In the United States, over 12 000 home healthcare agencies annually serve 6+ million patients, mostly aged 65+ years with chronic conditions. One in three of these patients end up visiting emergency department (ED) or being hospitalized. Existing risk identification models based on electronic health record (EHR) data have suboptimal performance in detecting these high-risk patients.
Author(s): Zolnoori, Maryam, Sridharan, Sridevi, Zolnour, Ali, Vergez, Sasha, McDonald, Margaret V, Kostic, Zoran, Bowles, Kathryn H, Topaz, Maxim
DOI: 10.1093/jamia/ocad195
Due to insufficient smoking cessation apps for persons living with HIV, our study focused on designing and testing the Sense2Quit app, a patient-facing mHealth tool which integrated visualizations of patient information, specifically smoking use.
Author(s): Brin, Maeve, Trujillo, Paul, Huang, Ming-Chun, Cioe, Patricia, Chen, Huan, Xu, Wenyao, Schnall, Rebecca
DOI: 10.1093/jamia/ocad162
Pediatric patients have different diseases and outcomes than adults; however, existing phecodes do not capture the distinctive pediatric spectrum of disease. We aim to develop specialized pediatric phecodes (Peds-Phecodes) to enable efficient, large-scale phenotypic analyses of pediatric patients.
Author(s): Grabowska, Monika E, Van Driest, Sara L, Robinson, Jamie R, Patrick, Anna E, Guardo, Chris, Gangireddy, Srushti, Ong, Henry H, Feng, QiPing, Carroll, Robert, Kannankeril, Prince J, Wei, Wei-Qi
DOI: 10.1093/jamia/ocad233
The objective of this scoping review is to map methods used to study medication safety following electronic health record (EHR) implementation. Patterns and methodological gaps can provide insight for future research design.
Author(s): Pereira, Nichole, Duff, Jonathan P, Hayward, Tracy, Kherani, Tamizan, Moniz, Nadine, Champigny, Chrystale, Carson-Stevens, Andrew, Bowie, Paul, Egan, Rylan
DOI: 10.1093/jamia/ocad231
Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space.
Author(s): Walton, Nephi A, Nagarajan, Radha, Wang, Chen, Sincan, Murat, Freimuth, Robert R, Everman, David B, Walton, Derek C, McGrath, Scott P, Lemas, Dominick J, Benos, Panayiotis V, Alekseyenko, Alexander V, Song, Qianqian, Gamsiz Uzun, Ece, Taylor, Casey Overby, Uzun, Alper, Person, Thomas Nate, Rappoport, Nadav, Zhao, Zhongming, Williams, Marc S
DOI: 10.1093/jamia/ocad211