default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJournal of the American Medical Informatics Association, Volume 32
Volume 32, Number 1, 2025
- Suzanne Bakken
:
Advancing a learning health system through biomedical and health informatics. 1-2 - Tiffani J. Bright, Oliver J. Bear Don't Walk IV, Carl E. Johnson, Carolyn Petersen, Patricia C. Dykes, Krista G. Martin, Kevin B. Johnson, Lois Walters-Threat, Catherine K. Craven, Robert J. Lucero, Gretchen P. Jackson, Rubina F. Rizvi:
The journey to building a diverse, equitable, and inclusive American Medical Informatics Association. 3-8 - Aaron S. Eisman, Elizabeth S. Chen, Wen-Chih Wu, Karen Crowley, Dilum P. Aluthge, Katherine A. Brown, Indra Neil Sarkar:
Learning health system linchpins: information exchange and a common data model. 9-19 - Jordan Everson, Chelsea Richwine:
Barriers to obtaining and using interoperable information among non-federal acute care hospitals. 20-27 - Chelsea Richwine, Vaishali Patel, Jordan Everson, Bradley E. Iott:
The role of routine and structured social needs data collection in improving care in US hospitals. 28-37 - Rubin Baskir, Minnkyong Lee, Sydney J. McMaster, Jessica Lee, Faith Blackburne-Proctor, Romuladus Azuine, Nakia Mack, Sheri D. Schully, Martin Mendoza, Janeth Sanchez, Yong Crosby, Erica Zumba, Michael Hahn, Naomi Aspaas, Ahmed Elmi, Shanté Alerté, Elizabeth Stewart, Danielle Wilfong, Meag Doherty, Margaret M. Farrell, Grace B. Hébert, Sula M. Hood, Cheryl M. Thomas, Debra D. Murray, Brendan Lee, Louisa A Stark, Megan A. Lewis, Jennifer D. Uhrig, Laura R. Bartlett, Edgar Gil Rico, Adolph Falcón, Elizabeth Cohn, Mitchell R. Lunn, Juno Obedin-Maliver, Linda Cottler, Milton Eder, Fornessa T. Randal, Jason Karnes, Kitani Lemieux, Nelson Lemieux Jr., Nelson Lemieux III, Lilanta Bradley, Ronnie Tepp, Meredith Wilson, Monica Rodriguez, Chris Lunt, Karriem Watson:
Research for all: building a diverse researcher community for the All of Us Research Program. 38-50 - Jessica Sperling, Whitney Welsh, Erin Haseley, Stella Quenstedt, Perusi B. Muhigaba, Adrian Brown, Patti Ephraim, Tariq Shafi, Michael Waitzkin, David J. Casarett, Benjamin Alan Goldstein:
Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use. 51-62 - Balu Bhasuran, Katharina Schmolly, Yuvraaj Kapoor, Nanditha Lakshmi Jayakumar, Raymond Doan, Jigar Amin, Stephen Meninger, Nathan Cheng, Robert Deering, Karl Anderson, Simon W. Beaven, Bruce Wang, Vivek A. Rudrapatna:
Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning. 63-70 - Nate C. Apathy, A Jay Holmgren, Paige Nong, Julia Adler-Milstein, Jordan Everson:
Trending in the right direction: critical access hospitals increased adoption of advanced electronic health record functions from 2018 to 2023. 71-78 - Andrea M. Storås, Steffen Mæland, Jonas Isaksen, Steven Alexander Hicks, Vajira Thambawita, Claus Graff, Hugo Lewi Hammer, Pål Halvorsen, Michael Alexander Riegler, Jørgen K. Kanters:
Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps. 79-88 - Xubing Hao, Xiaojin Li, Yan Huang, Jay Shi, Rashmie Abeysinghe, Cui Tao, Kirk Roberts, Guo-Qiang Zhang, Licong Cui:
Quantitatively assessing the impact of the quality of SNOMED CT subtype hierarchy on cohort queries. 89-96 - Aubrey Limburg, Nicole Gladish, David H. Rehkopf, Robert L. Phillips, Victoria Udalova:
Linking national primary care electronic health records to individual records from the U.S. Census Bureau's American Community Survey: evaluating the likelihood of linkage based on patient health. 97-104 - Magdalena Z. Raban, Erin Fitzpatrick, Alison Merchant, Bayzidur Rahman, Tim Badgery-Parker, Ling Li, Melissa T. Baysari, Peter Barclay, Michael Dickinson, Virginia Mumford, Johanna I. Westbrook:
Longitudinal study of the manifestations and mechanisms of technology-related prescribing errors in pediatrics. 105-112 - Joshua Trujeque, R. Adams Dudley, Nathan Mesfin, Nicholas E. Ingraham, Isai Ortiz, Ann Bangerter, Anjan Chakraborty, Dalton Schutte, Jeremy Yeung, Ying Liu, Alicia Woodward-Abel, Emma Bromley, Rui Zhang, Lisa A. Brenner, Joseph A. Simonetti:
Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records. 113-118 - Betina Idnay, Gongbo Zhang, Fangyi Chen, Casey N. Ta, Matthew W. Schelke, Karen Marder, Chunhua Weng:
Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features. 119-128 - Arihant Tripathi, Brett Ecker, Patrick Boland, Saum Ghodoussipour, Gregory R. Riedlinger, Subhajyoti De:
Oncointerpreter.ai enables interactive, personalized summarization of cancer diagnostics data. 129-138 - Thomas Savage, John Wang, Robert Gallo, Abdessalem Boukil, Vishwesh Patel, Seyed Amir Ahmad Safavi-Naini, Ali Soroush, Jonathan H. Chen:
Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment. 139-149 - Xiomara T. Gonzalez, Karen Steger-May, Joanna Abraham:
Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians' use of machine learning in perioperative care. 150-162 - Mary S. Kim, Beomseok Park, Genevieve J. Sippel, Aaron H. Mun, Wanzhao Yang, Kathleen H. McCarthy, Emely Fernandez, Marius George Linguraru, Aleksandra Sarcevic, Ivan Marsic, Randall S. Burd:
Comparative analysis of personal protective equipment nonadherence detection: computer vision versus human observers. 163-171 - Anna Northrop, Anika Christofferson, Saumya Umashankar, Michelle Melisko, Paolo Castillo, Thelma Brown, Diane Heditsian, Susie Brain, Carol Simmons, Tina Hieken, Kathryn J. Ruddy, Candace Mainor, Anosheh Afghahi, Sarah E. Tevis, Anne H. Blaes, Irene Kang, Adam Asare, Laura Esserman, Dawn L. Hershman, Amrita Basu:
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. 172-180 - Sukanya Mohapatra, Mirna Issa, Vedrana Ivezic, Rose Doherty, Leonard S. Marks, Esther Lan, Shawn Chen, Keith Rozett, Lauren Cullen, Wren Reynolds, Rose Rocchio, Gregg C. Fonarow, Michael K. Ong, William Speier, Corey W. Arnold:
Increasing adherence and collecting symptom-specific biometric signals in remote monitoring of heart failure patients: a randomized controlled trial. 181-192 - Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren:
Real-world federated learning in radiology: hurdles to overcome and benefits to gain. 193-205 - Jejo D. Koola, Karthik Ramesh, Jialin Mao, Minyoung Ahn, Sharon E. Davis, Usha Govindarajulu, Amy Perkins, Dax M. Westerman, Henry Ssemaganda, Theodore Speroff, Lucila Ohno-Machado, Craig Ramsay, Art Sedrakyan, Frederic S. Resnic, Michael E. Matheny:
A machine learning framework to adjust for learning effects in medical device safety evaluation. 206-217 - Braja Gopal Patra, Lauren A. Lepow, Praneet Kasi Reddy Jagadeesh Kumar, Veer Vekaria, Mohit Manoj Sharma, Prakash Adekkanattu, Brian Fennessy, Gavin Hynes, Isotta Landi, Jorge A. Sanchez-Ruiz, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Ardesheer Talati, Myrna Weissman, Mark Olfson, J. John Mann, Yiye Zhang, Alexander W. Charney, Jyotishman Pathak:
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model. 218-226 - Andrew J. Zimolzak, Sundas P. Khan, Hardeep Singh, Jessica A. Davila:
Application of a digital quality measure for cancer diagnosis in Epic Cosmos. 227-229 - Dong-Gil Ko, Umberto Tachinardi, Eric J. Warm:
Secure messaging telehealth billing in the digital age: moving beyond time-based metrics. 230-234 - Christine A. Sinsky, Lisa S. Rotenstein, A Jay Holmgren, Nate C. Apathy:
The number of patient scheduled hours resulting in a 40-hour work week by physician specialty and setting: a cross-sectional study using electronic health record event log data. 235-240 - Zidu Xu, Danielle Scharp, Mollie Hobensack, Jiancheng Ye, Jungang Zou, Sirui Ding, Jingjing Shang, Maxim Topaz:
Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review. 241-252 - Melissa Gunderson, Peter J. Embí, Charles P. Friedman, Genevieve B. Melton:
Opportunities for the informatics community to advance learning health systems. 253-257 - Partha Pratim Ray:
Is ChatGPT worthy enough for provisioning clinical decision support? 258-259 - Correction to: Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review. 260
- Correction to: Are medical history data fit for risk stratification of patients with chest pain in emergency care? Comparing data collected from patients using computerized history taking with data documented by physicians in the electronic health record in the CLEOS-CPDS prospective cohort study. 261-263
- Correction to: Measuring interpersonal firearm violence: natural language processing methods to address limitations in criminal charge data. 264
Volume 32, Number 2, 2025
- Suzanne Bakken, Eric Poon:
Hot topics in artificial intelligence. 265-267 - Kiran Malhotra, Batia Mishan Wiesenfeld, Vincent J. Major, Himanshu Grover, Yindalon Aphinyanaphongs, Paul A. Testa, Jonathan S. Austrian:
Health system-wide access to generative artificial intelligence: the New York University Langone Health experience. 268-274 - Rebecca Schnall, Thomas Scherr, Lisa M. Kuhns, Patrick Janulis, Haomiao Jia, Olivia Wood, Michael Almodovar, Robert Garofalo:
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology. 275-284 - Wonjin Yoon, Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller:
LCD benchmark: long clinical document benchmark on mortality prediction for language models. 285-295 - Yufei Yu, Maxim E. Edelson, Anh Pham, Jonathan E. Pekar, Brian Johnson, Kai W. Post, Tsung-Ting Kuo:
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network. 296-307 - Jihye Kim Scroggins, Ismael I Hulchafo, Sarah Harkins, Danielle Scharp, Hans Moen, Anahita Davoudi, Kenrick Cato, Michele Tadiello, Maxim Topaz, Veronica Barcelona:
Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing. 308-317 - Catherine E. Strawley, Julia Adler-Milstein, A Jay Holmgren, Jordan Everson:
New indices to track interoperability among US hospitals. 318-327 - Maryam Zolnoori, Ali Zolnour, Sasha Vergez, Sridevi Sridharan, Ian Spens, Maxim Topaz, James M. Noble, Suzanne Bakken, Julia Hirschberg, Kathryn H. Bowles, Nicole Onorato, Margaret V. McDonald:
Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications. 328-340 - Ana María Maitín, Alberto Nogales, Sergio Fernández-Rincón, Enrique Aranguren, Emilio Cervera-Barba, Sophia Denizon-Arranz, Alonso Mateos-Rodríguez, Álvaro J. García-Tejedor:
Application of large language models in clinical record correction: a comprehensive study on various retraining methods. 341-348 - Maryam Rahafrooz, Danne C. Elbers, Jay R. Gopal, Junling Ren, Nathan H. Chan, Cenk Yildirim, Akshay S. Desai, Abigail A. Santos, Karen Murray, Thomas Havighurst, Jacob A. Udell, Michael E. Farkouh, Lawton Cooper, J. Michael Gaziano, Orly Vardeny, Lu Mao, KyungMann Kim, David R. Gagnon, Scott D. Solomon, Jacob Joseph:
Effectiveness of electronic medical record-based strategies for death and hospital admission endpoint capture in pragmatic clinical trials. 349-356 - Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar:
Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. 357-364 - Andrew L. Walker, Annie Thorne, Sudeshna Das, Jennifer Love, Hannah Cooper, Melvin Livingston III, Abeed Sarker:
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation. 365-374 - Shreya J. Shah, Anna Devon-Sand, Stephen P. Ma, Yejin Jeong, Trevor Crowell, Margaret Smith, April S. Liang, Clarissa Delahaie, Caroline Hsia, Tait D. Shanafelt, Michael A. Pfeffer, Christopher D. Sharp, Steven Lin, Patricia Garcia:
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden. 375-380 - Stephen P. Ma, April S. Liang, Shreya J. Shah, Margaret Smith, Yejin Jeong, Anna Devon-Sand, Trevor Crowell, Clarissa Delahaie, Caroline Hsia, Steven Lin, Tait D. Shanafelt, Michael A. Pfeffer, Christopher D. Sharp, Patricia Garcia:
Ambient artificial intelligence scribes: utilization and impact on documentation time. 381-385 - Robert Gallo, Michael T. M. Baiocchi, Thomas Savage, Jonathan H. Chen:
Establishing best practices in large language model research: an application to repeat prompting. 386-390 - Kellie M. Walters, Marshall Clark, Sofia Dard, Stephanie S. Hong, Elizabeth Kelly, Kristin Kostka, Adam M. Lee, Robert T. Miller, Michele Morris, Matvey B. Palchuk, Emily R. Pfaff, Adam B. Wilcox, Alexis Graves, Alfred (Jerrod) Anzalone, Amin Manna, Amit Saha, Amy Olex, Andrea Zhou, Andrew E. Williams, Andrew Southerland, Andrew T. Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin R. C. Amor, Benjamin Bates, Brian Hendricks, Brijesh Patel, Caleb Alexander, Carolyn T. Bramante, Cavin Ward-Caviness, Charisse R. Madlock-Brown, Christine Suver, Christopher G. Chute, Christopher Dillon, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A. Eichmann, Diego Mazzotti, Don Brown, Eilis Boudreau, Elaine L. Hill, Elizabeth Zampino, Emily Carlson Marti, Evan French, Farrukh M. Koraishy, Federico Mariona, Fred W. Prior, George Sokos, Greg Martin, Harold P. Lehmann, Heidi Spratt, Hemalkumar Mehta, Hongfang Liu, Hythem Sidky, J. W. Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel Gagnier, Joel H. Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol P. Mathew, Joni L. Rutter, Julie A. McMurry, Justin Guinney, Justin Starren, Karen Crowley, Katie Rebecca Bradwell, Ken Wilkins, Kenneth R. Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lesley Cottrell, Lili M. Portilla, Mariam Deacy, Mark M. Bissell, Mary Emmett, Mary Morrison Saltz, Melissa A. Haendel, Meredith C. B. Adams, Meredith Temple-O'Connor, Michael G. Kurilla, Nabeel Qureshi, Nasia Safdar, Nicole Garbarini, Noha Sharafeldin, Ofer Sadan, Patricia A. Francis, Penny Wung Burgoon, Peter N. Robinson, Philip R. O. Payne, Rafael Fuentes, Randeep Jawa, Rebecca Erwin-Cohen, Rena Patel, Richard A. Moffitt, Richard L. Zhu, Rishi Kamaleswaran, Robert Hurley, Saiju Pyarajan, Sam G. Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, Shawn T. O'Neil, Soko Setoguchi, Steve Johnson, Tellen D. Bennett, Tiffany Callahan, Umit Topaloglu, Usman Sheikh, Valery Gordon, Vignesh Subbian, Warren A. Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang:
National COVID Cohort Collaborative data enhancements: a path for expanding common data models. 391-397 - Laura G. Militello, Julie Diiulio, Debbie L. Wilson, Khoa A. Nguyen, Christopher A. Harle, Walid Gellad, Wei-Hsuan Lo-Ciganic:
Using human factors methods to mitigate bias in artificial intelligence-based clinical decision support. 398-403 - Brian R. Jackson, Mark P. Sendak, Anthony Solomonides, Suresh Balu, Dean F. Sittig:
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model. 404-407 - Philip R. O. Payne, Kevin B. Johnson, Thomas M. Maddox, Peter J. Embí, Kenneth D. Mandl, Deven McGraw, Suchi Saria, Laura Adams:
Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community. 408-412 - Correction to: Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review. 413
Volume 32, Number 3, 2025
- Suzanne Bakken:
Beyond the individual. 415-416 - Fabienne C. Bourgeois, Amrita Sinha, Gaurav Tuli, Marvin B. Harper, Virginia K. Robbins, Sydney Jeffrey, John S. Brownstein, Shahla M. Jilani:
The substance-exposed birthing person-infant/child dyad and health information exchange in the United States. 417-425 - Olga Yakusheva, Lara Khadr, Kathryn A. Lee, Hannah C. Ratliff, Deanna J. Marriott, Deena Kelly Costa:
An electronic health record metadata-mining approach to identifying patient-level interprofessional clinician teams in the intensive care unit. 426-434 - Xiayuan Huang, Jatin Arora, Abdullah Mesut Erzurumluoglu, Stephen A. Stanhope, Daniel Lam, Pierre Khoueiry, Jan N. Jensen, James Cai, Nathan Lawless, Jan Kriegl, Zhihao Ding, Johann de Jong, Hongyu Zhao, Zuoheng Wang:
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. 435-446 - Alban Bornet, Philipp Khlebnikov, Florian Meer, Quentin Haas, Anthony Yazdani, Boya Zhang, Poorya Amini, Douglas Teodoro:
Analysis of eligibility criteria clusters based on large language models for clinical trial design. 447-458 - Junbo Shen, Bing Xue, Thomas George Kannampallil, Chenyang Lu, Joanna Abraham:
A novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients. 459-469 - Asad Aali, Dave Van Veen, Yamin Ishraq Arefeen, Jason Hom, Christian Bluethgen, Eduardo Pontes Reis, Sergios Gatidis, Namuun Clifford, Joseph Daws, Arash S. Tehrani, Jangwon Kim, Akshay S. Chaudhari:
A dataset and benchmark for hospital course summarization with adapted large language models. 470-479 - Helena Klara Jambor, Julian Ketges, Anna Lea Otto, Malte Von Bonin, Karolin Trautmann-Grill, Raphael Teipel, Jan Moritz Middeke, Maria Uhlig, Martin Eichler, Sebastian Pannasch, Martin Bornhäuser:
Communicating cancer treatment with pictogram-based timeline visualizations. 480-491 - Anton H. van der Vegt, Victoria Campbell, Shuyi Wang, James Malycha, Ian A Scott:
Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals and researchers. 492-509 - Fabiana C. Dos Santos, D. Scott Batey, Emma S. Kay, Haomiao Jia, Olivia Wood, Joseph A. Abua, Susan Olender, Rebecca Schnall:
The effect of a combined mHealth and community health worker intervention on HIV self-management. 510-517 - Mitchell Conover, Patrick B. Ryan, Yong Chen, Marc A. Suchard, George Hripcsak, Martijn J. Schuemie:
Objective study validity diagnostics: a framework requiring pre-specified, empirical verification to increase trust in the reliability of real-world evidence. 518-525 - Shahram Yazdani, Ronald Claude Henry, Avery Byrne, Isaac Claude Henry:
Utility of word embeddings from large language models in medical diagnosis. 526-534 - Matthew Steven Farmer, Mihail Popescu, Kimberly Powell:
Development and evaluation of a 4M taxonomy from nursing home staff text messages using a fine-tuned generative language model. 535-544 - Zaifu Zhan, Shuang Zhou, Mingchen Li, Rui Zhang:
RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements. 545-554 - Fangyi Chen, Gongbo Zhang, Yilu Fang, Yifan Peng, Chunhua Weng:
Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition. 555-565 - Bani Tamraz, Jaekyu Shin, Raman Khanna, Jessica Van Ziffle, Susan Knowles, Susan Stregowski, Eunice Wan, Rajesh Kamath, Christopher Collins, Choeying Phunsur, Benjamin Tsai, Patsy Kong, Clari Calanoc, Aleta Pollard, Rajeev Sawhney, Jennifer Pleiman, Walter Patrick Devine, Rhiannon Croci, Aparna Sashikanth, Lisa Kroon, Russell J. Cucina, Aleks Rajkovic:
Clinical implementation of preemptive pharmacogenomics testing for personalized medicine at an academic medical center. 566-571 - Steven Crook, Glenn Rosenbluth, David V. Glidden, Alicia Fernandez, Chuan-Mei Lee, Lizette Avina, Leslie Magana, Kiana Washington, Naomi S. Bardach:
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity. 572-578 - Drenen J. Magee, Sierra Kicker, Aeisha Thomas:
Descriptive epidemiology demonstrating the All of Us database as a versatile resource for the rare and undiagnosed disease community. 579-585 - Madelena Y. Ng, Jarrod Helzer, Michael A. Pfeffer, Tina Seto, Tina Hernandez-Boussard:
Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center. 586-588 - Shalmali Joshi, Iñigo Urteaga, Wouter A. C. van Amsterdam, George Hripcsak, Pierre A. Elias, Benjamin R. C. Amor, Noémie Elhadad, James C. Fackler, Mark P. Sendak, Jenna Wiens, Kaivalya Deshpande, Yoav Wald, Madalina Fiterau, Zachary C. Lipton, Daniel Malinsky, Madhur Nayan, Hongseok Namkoong, Soojin Park, Julia E. Vogt, Rajesh Ranganath:
AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation. 589-594 - Agata Foryciarz, Nicole Gladish, David H. Rehkopf, Sherri Rose:
Incorporating area-level social drivers of health in predictive algorithms using electronic health record data. 595-601
Volume 32, Number 4, 2025
- Suzanne Bakken:
Advancing the application and evaluation of large language models in health and biomedicine. 603-604 - Siru Liu, Allison B. McCoy, Adam Wright:
Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines. 605-615 - Ying Li, Surabhi Datta, Majid Rastegar-Mojarad, Kyeryoung Lee, Hunki Paek, Julie Glasgow, Chris Liston, Long He, Xiaoyan Wang, Yingxin Xu:
Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation. 616-625 - Chuan Hong, Anand Chowdhury, Anthony D. Sorrentino, Haoyuan Wang, Monica Agrawal, Armando Bedoya, Sophia Bessias, Nicoleta J. Economou-Zavlanos, Ian Wong, Christian Pean, Fan Li, Kathryn I. Pollak, Eric G. Poon, Michael J. Pencina:
Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments. 626-637 - Muhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi, Kaneez Zahra Rubab Khakwani, Zaryab bin Riaz Sipra, Ammad Raina, Sihan Zhou, Huan He, Amir Saeidi, Bashar Hasan, Robert Bryan Rumble, Danielle S. Bitterman, Jeremy L. Warner, Jia Zou, Amye J. Tevaarwerk, Konstantinos Leventakos, Kenneth L. Kehl, Jeanne M. Palmer, Mohammad Hassan Murad, Chitta Baral, Irbaz Bin Riaz:
Collaborative large language models for automated data extraction in living systematic reviews. 638-647 - Suzanne V. Blackley, Ying-Chih Lo, Sheril Varghese, Frank Y. Chang, Oliver D. James, Diane L. Seger, Kimberly G. Blumenthal, Foster R. Goss, Li Zhou:
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records. 648-655 - C. Jason Liang, Chongliang Luo, Henry R. Kranzler, Jiang Bian, Yong Chen:
Communication-efficient federated learning of temporal effects on opioid use disorder with data from distributed research networks. 656-664 - Jordan Everson, Daniel Healy:
Information-blocking trends following regulatory action. 665-674 - Susan H. Fenton, Cassandra Ciminello, Vickie M. Mays, Mary H. Stanfill, Valerie Watzlaf:
An examination of ambulatory care code specificity utilization in ICD-10-CM compared to ICD-9-CM: implications for ICD-11 implementation. 675-681 - Swaminathan Kandaswamy, Julia K. W. Yarahuan, Elizabeth A Dobler, Matthew J. Molloy, Lindsey A. Knake, Sean Hernandez, Anne A Fallon, Lauren M. Hess, Allison B. McCoy, Regine M. Fortunov, Eric S. Kirkendall, Naveen Muthu, Evan W. Orenstein, Adam C. Dziorny, Juan D. Chaparro:
Alert design in the real world: a cross-sectional analysis of interruptive alerting at 9 academic pediatric health systems. 682-688 - Chunlong Miao, Jingjing Luo, Yan Liang, Hong Liang, Yuhui Cen, Shijie Guo, Hongliu Yu:
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach. 689-701 - Ashwini Nagappan, Xi Zhu:
Patterns of willingness to share health data with key stakeholders in US consumers: a latent class analysis. 702-711 - Brian James McInnis, Ramona Pindus, Daniah Kareem, Julie Cakici, Daniela G. Vital, Eric B. Hekler, Camille Nebeker:
Using dataflow diagrams to support research informed consent data management communications: participant perspectives. 712-723 - Philipp Röchner, Franz Rothlauf:
Evaluating robustly standardized explainable anomaly detection of implausible variables in cancer data. 724-735 - Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin:
Fast and interpretable mortality risk scores for critical care patients. 736-747 - Sripriya Rajamani, Jonathon P. Leider, Divya Rupini Gunashekar, Brian E. Dixon:
Public health informatics specialists in state and local public health workforce: insights from public health workforce interests and needs survey. 748-754 - Dean F. Sittig, Trisha Flanagan, Patricia Sengstack, Rosann T. Cholankeril, Sara Ehsan, Amanda Heidemann, Daniel R. Murphy, Hojjat Salmasian, Jason S. Adelman, Hardeep Singh:
Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) Guides to update national recommendations for safe use of electronic health records. 755-760 - Shuyan Cheng, Yishu Wei, Yiliang Zhou, Zihan Xu, Drew N. Wright, Jinze Liu, Yifan Peng:
Deciphering genomic codes using advanced natural language processing techniques: a scoping review. 761-772
Volume 32, Number 5, 2025
- Suzanne Bakken:
Diversity, equity, and inclusion matter for biomedical and health informatics. 773-774 - Magdalena T. Weber, Richard Noll, Alexandra Marchl, Carlo Facchinello, Achim Grünewaldt, Christian Hügel, Khader Musleh, Thomas O. F. Wagner, Holger Storf, Jannik Schaaf:
MedBot vs RealDoc: efficacy of large language modeling in physician-patient communication for rare diseases. 775-783 - Rohan Khera, Mitsuaki Sawano, Frederick Warner, Andreas Coppi, Aline F. Pedroso, Erica S. Spatz, Sharon Saydah, Kari A. Stephens, Kristin L. Rising, Joann G. Elmore, Mandy J. Hill, Ahamed H. Idris, Juan Carlos C. Montoy, Arjun Venkatesh, Robert A. Weinstein, Michelle Santangelo, Katherine Koo, Antonia Derden, Michael Gottlieb, Kristyn Gatling, Zohaib Ahmed, Chloe Gomez, Diego Guzman, Minna Hassaballa, Ryan Jerger, Amro Marshall Kaadan, Zhenqiu Lin, Shu-Xia Li, Huihui Yu, Imtiaz Ebna Mannan, Zimo Yang, Mengni Liu, Andrew Ulrich, Jeremiah Kinsman, Caitlin Malicki, Jocelyn Dorney, Senyte Pierce, Xavier Puente, Wafa Salah, Graham Nichol, Kari A Stephens, Jill Anderson, Mary Schiffgens, Dana Morse, Karen Adams, Tracy Stober, Zenoura Maat, Kelli N. O'laughlin, Nikki Gentile, Rachel E. Geyer, Michael Willis, Zihan Zhang, Gary Chang, Victoria Lyon, Robin E. Klabbers, Luis Ruiz, Kerry Malone, Jasmine Park, Kristin Rising, Efrat Kean, Anna Marie Chang, Nicole Renzi, Phillip Watts, Morgan Kelly, Kevin Schaeffer, Dylan Grau, David Cheng, Carly Shutty, Alex Charlton, Lindsey Shughart, Hailey Shughart, Grace Amadio, Jessica Miao, Paavali Hannikainen, Lauren E. Wisk, Michelle L'Hommedieu, Chris Chandler, Megan M. Eguchi, Kate Diaz Roldan, Raul Moreno, Robert Rodriguez, Ralph C. Wang, Juan Carlos Montoy, Robin Kemball, Virginia Chan, Cecilia Lara Chavez, Angela Wong, Mireya Arreguin, Ryan Huebinger Site, Arun Kane, Peter Nikonowicz, Sarah Sapp, Samuel McDonald, David Gallegos, Katherine Riley Martin, Ian D. Plumb, Aron J. Hall, Melissa Briggs-Hagen:
Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study. 784-794 - Paige Nong, Molin Ji:
Expectations of healthcare AI and the role of trust: understanding patient views on how AI will impact cost, access, and patient-provider relationships. 795-799 - Sungho Shim, Min-Soo Kim, Che Gyem Yae, Yong Koo Kang, Jae Rock Do, Hong Kyun Kim, Hyun-Lim Yang:
Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification. 800-810 - Katherine E. Brown, Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin X. Collins, You Chen, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
Large language models are less effective at clinical prediction tasks than locally trained machine learning models. 811-822 - Vincent Lam, Sonali Gupta, I. King Jordan, Leonardo Mariño-Ramírez:
Associations of perceived discrimination with health outcomes and health disparities in the All of Us cohort. 823-834 - Anne Fu, Trong Shen, Surain B. Roberts, Weihan Liu, Shruthi Vaidyanathan, Kayley-Jasmin Marchena-Romero, Yuen Yu Phyllis Lam, Kieran Shah, Denise Y. F. Mak, Stephen Chin, Seth J. Stern, Radha Koppula, Lisa F. Joyce, Nicholas Pellegrino, Nancy Harris, Vivian Ng, Siddhartha Srivastava, Nathaniel Manikan, Amelia Wilkinson, Jenny Gastmeier, Jason C. Kwan, Hapiloe Byaruhanga, Linia Shaji, Siji George, Stephanie Handsor, Reshma Anna Roy, Chong Sung Kim, Selam Mequanint, Fahad Razak, Amol A. Verma:
Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset. 835-844 - Sharon E. Davis, Chad Dorn, Daniel J. Park, Michael E. Matheny:
Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability. 845-854 - Serena Jinchen Xie, Carolin Spice, Patrick Wedgeworth, Raina Langevin, Kevin Lybarger, Angad P. Singh, Brian R. Wood, Jared W. Klein, Gary Hsieh, Herbert Duber, Andrea L. Hartzler:
Patient and clinician acceptability of automated extraction of social drivers of health from clinical notes in primary care. 855-865 - Thomas E. Ueland, Samuel A Younan, Parker T. Evans, Jessica Sims, Megan M. Shroder, Alexander T. Hawkins, Richard Peek, Xinnan Niu, Lisa Bastarache, Jamie R. Robinson:
Unmet social needs and diverticulitis: a phenotyping algorithm and cross-sectional analysis. 866-875 - Cheligeer Cheligeer, Danielle A. Southern, Jun Yan, Guosong Wu, Jie Pan, Seungwon Lee, Elliot A. Martin, Hamed Jafarpour, Cathy A. Eastwood, Yong Zeng, Hude Quan:
Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism. 876-884 - Yao-Shun Chuang, Atiquer Rahman Sarkar, Yu-Chun Hsu, Noman Mohammed, Xiaoqian Jiang:
Robust privacy amidst innovation with large language models through a critical assessment of the risks. 885-892 - Rohan Sanghera, Arun James Thirunavukarasu, Marc El Khoury, Jessica O'Logbon, Yuqing Chen, Archie Watt, Mustafa Mahmood, Hamid Butt, George Nishimura, Andrew A. S. Soltan:
High-performance automated abstract screening with large language model ensembles. 893-904 - Fahad Kamran, Donna Tjandra, Thomas S. Valley, Hallie C. Prescott, Nigam H. Shah, Vincent X. Liu, Eric Horvitz, Jenna Wiens:
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis. 905-913 - Sahil Sandhu, Michael Liu, Laura M. Gottlieb, A Jay Holmgren, Lisa S. Rotenstein, Matthew S. Pantell:
Interoperability of health-related social needs data at US hospitals. 914-919 - S. Momsen Reincke, Camilo Espinosa, Philip Chung, Tomin James, Eloïse Berson, Nima Aghaeepour:
Mitigation of outcome conflation in predicting patient outcomes using electronic health records. 920-927 - Joshua M. Biro, Jessica L. Handley, James Mickler, Sahithi Reddy, Varsha Kottamasu, Raj M. Ratwani, Nathan K. Cobb:
The value of simulation testing for the evaluation of ambient digital scribes: a case report. 928-931 - Katherine K. Kim, Uba Backonja:
Digital health equity frameworks and key concepts: a scoping review. 932-944 - Tom Arthur, Sophie Robinson, Samuel J. Vine, Lauren Asare, G. J. Melendez-Torres:
Equity implications of extended reality technologies for health and procedural anxiety: a systematic review and implementation-focused framework. 945-957 - Elizabeth Campbell, Oliver J. Bear Don't Walk IV, Hamish S. F. Fraser, Judy Gichoya, Kavishwar B. Wagholikar, Andrew S. Kanter, Felix Holl, Sansanee Craig:
Principles and implementation strategies for equitable and representative academic partnerships in global health informatics research. 958-963 - Anjum Khurshid, Indra Neil Sarkar:
The health data utility and the resurgence of health information exchanges as a national resource. 964-967 - Leslie A. Lenert:
How the National Library of Medicine should evolve in an era of artificial intelligence. 968-970 - Titus Schleyer, Manijeh Berenji, Monica Deck, Hana Chung, Joshua Choi, Theresa A. Cullen, Timothy E. Burdick, Amanda Zaleski, Kelly Jean Thomas Craig, Oluseyi Fayanju, Muhammad Muinul Islam:
A call for the informatics community to define priority practice and research areas at the intersection of climate and health: report from 2023 mini-summit. 971-979 - Correction to: Inpatient nurses' preferences and decisions with risk information visualization. 980
- Correction to: Development and evaluation of a training curriculum to engage researchers on accessing and analyzing the All of Us data. 981
Volume 32, Number 6, 2025
- Suzanne Bakken:
Harnessing the power of large language models for clinical tasks and synthesis of scientific literature. 983-984 - Nidhi Soley, Ilia Rattsev, Traci J. Speed, Anping Xie, Kadija S. Ferryman, Casey Overby Taylor:
Predicting postoperative chronic opioid use with fair machine learning models integrating multi-modal data sources: a demonstration of ethical machine learning in healthcare. 985-997 - Gibong Hong, Veronica Hindle, Nadine M. Veasley, Hannah D. Holscher, Halil Kilicoglu:
DiMB-RE: mining the scientific literature for diet-microbiome associations. 998-1006 - Chao Yan, Monika E. Grabowska, Rut Thakkar, Alyson L. Dickson, Peter J. Embí, QiPing Feng, Joshua C. Denny, Vern Eric Kerchberger, Bradley A. Malin, Wei-Qi Wei:
Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records. 1007-1014 - Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Lisa C. Adams, Keno K. Bressem:
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks. 1015-1024 - Catina O'leary, Milton Eder, Sumana Goli, Sam Pettyjohn, Elizabeth Rattine-Flaherty, Yousra Jatt, Linda Cottler:
Assessing health literacy and diversity within the All of Us Research Program. 1025-1031 - Siru Liu, Aileen P. Wright, Allison B. McCoy, Sean S. Huang, Bryan D. Steitz, Adam Wright:
Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation. 1032-1039 - Adam Rule, Phillip Vang, Mark A Micek, Brian G. Arndt:
Primary care staff members' experiences with managing electronic health record inbox messages. 1040-1049 - Emma Croxford, Yanjun Gao, Nicholas Pellegrino, Karen K. Wong, Graham Wills, Elliot First, Miranda Schnier, Kyle Burton, Cris G. Ebby, Jillian Gorskic, Matthew Kalscheur, Samy Khalil, Marie Pisani, Tyler Rubeor, Peter D. Stetson, Frank J. Liao, Cherodeep Goswami, Brian W. Patterson, Majid Afshar:
Development and validation of the provider documentation summarization quality instrument for large language models. 1050-1060 - John P. Powers, Samyuktha Nandhakumar, Sofia Z. Dard, Paul Kovach, Peter Leese:
Recovering missing electronic health record mortality data with a machine learning-enhanced data linkage process. 1061-1065 - Mehdi Nourelahi, Eugene Mathew Sadhu, Malarkodi J. Samayamuthu, Shyam Visweswaran:
A resource for Logical Observation Identifiers Names and Codes terms that may be associated with identifying information. 1066-1070 - Dmitry Scherbakov, Nina C. Hubig, Vinita Jansari, Alexander Bakumenko, Leslie A. Lenert:
The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review. 1071-1086 - Ethan Layne, Francesco Cei, Giovanni E. Cacciamani:
Letter to the editors in response to "Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency". 1087-1088 - Cathy Shyr, Paul A. Harris:
Reply to Layne et al.'s Letter to the Editor. 1089
Volume 32, Number 7, 2025
- Suzanne Bakken:
Biomedical and health informatics Potpourri. 1091-1092 - Eric G. Poon, Christy Harris Lemak, Juan C. Rojas, Janet Guptill, David C. Classen:
Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges. 1093-1100 - Sirui Ding, Yafen Liang, Chia-Yuan Chang, Cheryl Brown, Xiaoqian Jiang, Xia Ben Hu, Na Zou:
Discover important donor-recipient risk factors and interactions in heart transplant primary graft dysfunction with machine learning. 1101-1109 - Erica Frechman, Byron C. Jaeger, Marc Kowalkowski, Jeff D. Williamson, Kristin M. Lenoir, Jessica A Palakshappa, Brian J. Wells, Kathryn E. Callahan, Nicholas M. Pajewski, Jennifer L. Gabbard:
External validation of a proprietary risk model for 1-year mortality in community-dwelling adults aged 65 years or older. 1110-1119 - Elham Mahmoudi, Sanaz Vahdati, Chieh-Ju Chao, Bardia Khosravi, Ajay Misra, Francisco Lopez-Jimenez, Bradley J. Erickson:
A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis. 1120-1129 - Yan Wang, Jimin Huang, Huan He, Vincent Zhang, Yujia Zhou, Xubing Hao, Pritham Ram, Lingfei Qian, Qianqian Xie, Ruey-Ling Weng, Fongci Lin, Yan Hu, Licong Cui, Xiaoqian Jiang, Hua Xu, Na Hong:
CDEMapper: enhancing National Institutes of Health common data element use with large language models. 1130-1139 - Hao Fan, Sarah Collins Rossetti, Jennifer Thate, Rosemary Mugoya, Albert M. Lai, Po-Yin Yen:
Semi-automated pipeline to accelerate multi-site flowsheet alignment and concept mapping in electronic health records. 1140-1148 - Alex C. Cheng, Stephany N. Duda, Kyle McGuffin, Mark McEver, Robert Taylor, Günther A Rezniczek, Andrew Martin, Eduardo Morales, Paul A. Harris:
Supporting rapid innovation in research data capture and management: the REDCap external module framework. 1149-1156 - James L. McCormack, Tracey L. Thomas, Chrystal Barnes, Victoria Sanchez, Erin S. Kenzie, Jennifer Coury, Brigit A Hatch, Tiffany Weekley, Maya A Singh, Melinda M. Davis:
Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest. 1157-1163 - Kurt Miller, Steven Bedrick, Qiuhao Lu, Andrew Wen, William R. Hersh, Kirk Roberts, Hongfang Liu:
Dynamic few-shot prompting for clinical note section classification using lightweight, open-source large language models. 1164-1173 - Kaifeng Liu, Zhiyan Sun, Xinyuan Ren, Da Tao:
Effects of information framing cues and age on the comprehension of personal health records for self-care behaviors: an eye-tracking study. 1174-1185 - Kelly Williams, Cara Nikolajski, Samantha Rodriguez, Elaine Kwok, Priya Gopalan, Hyagriv Simhan, Tamar Krishnamurti:
Incorporating end-user perspectives into the development of a machine learning algorithm for first time perinatal depression prediction. 1186-1198 - Clair A. Kronk, Os Keyes, Megh Marathe:
Towards an estimate of the impact of censorship on biomedical literature. 1199-1205 - Marcy G. Antonio, Jennylee Swallow, Rachel L. Richesson, Christine Carethers, Antoinette B. Coe, Divya Jahagirdar, Yung-Yi Huang, Tammy Toscos, Mindy E. Flanagan, Tiffany C. Veinot:
The administrative burden of medication affordability resources: an environmental scan with implications for health informatics to advance health equity. 1206-1218 - Chen He, Yuelin Xia, Ying Shan Cheung, Sze Tung Lam, Suephy C. Chen, Jose M. Valderas, Ellie Choi:
Electronic patient-reported outcome measures for triaging and scheduling outpatient appointments: a systematic review and meta-analysis. 1219-1226 - Xingran Chen, Zhenke Wu, Xu Shi, Hyunghoon Cho, Bhramar Mukherjee:
Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software. 1227-1240 - Gregory Vial, Aude Motulsky, Mickael Ringeval, Louis Raymond, Guy Paré:
Tensions in large-scale electronic health record implementations: insights from a meta-synthesis. 1241-1253
Volume 32, Number 8, 2025
- Suzanne Bakken:
People and organizations: the human side of biomedical and health informatics. 1253-1254 - Christopher L. F. Sun, Martin S. Copenhaver, Ana Cecilia Zenteno Langle, Bruno Viscomi, Ed Raeke, Bethany J. Daily, Peter F. Dunn, Retsef Levi:
Improved intrahospital transport time via proximity-based staff assignments. 1255-1266 - Melda Yeghaian, Zuhir Bodalal, Daan van den Broek, John B. A G. Haanen, Regina G. H. Beets-Tan, Stefano Trebeschi, Marcel A. J. van Gerven:
Multimodal integration of longitudinal noninvasive diagnostics for survival prediction in immunotherapy using deep learning. 1267-1275 - Elaine C. Khoong, Jeanette Wong, Faviola Garcia, Kristan Olazo, Mahal Miles, Billy Zeng, Courtney R. Lyles, Urmimala Sarkar:
Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study. 1276-1285 - Aude Motulsky, Susan Usher, Pascale Lehoux, Catherine Régis, Trish Reay, Paul Hebert, Lise Gauvin, Alain Biron, G. Ross Baker, Marie-Pierre Moreault, Johanne Préval, Jean-Louis Denis:
Policy context and digital development: a comparative study of trajectories in 4 Canadian academic health centers over 30 years. 1286-1298 - Xiaotan Sun, Makiya Nakashima, Christopher Nguyen, Po-Hao Chen, W. H. Wilson Tang, Deborah Kwon, David Chen:
FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction. 1299-1309 - Chang Liu, Zhangdaihong Liu, Jingjing Liu, Chenglai Cai, David A Clifton, Hui Wang, Yang Yang:
Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identification. 1310-1319 - Sumin Lee, Hyeok-Hee Lee, Hokyou Lee, Kyu Sun Yum, Jang-Hyun Baek, Jaewon Khil, Jaeyong Lee, Sojung Shin, Minsung Cho, Na Yeon Ahn, Seng Chan You, Hyeon Chang Kim:
Confidence-linked and uncertainty-based staged framework for phenotype validation using large language models. 1320-1327 - Mehrdad A. Mizani, Aziz Sheikh, Amitava Banerjee:
An empirical assessment of differential privacy in real-world observational data: a case-control study of asthma exacerbation in UK Biobank linked with electronic health records. 1328-1339 - Zeming Li, Xufei Luo, Zhenhua Yang, Huayu Zhang, Bingyi Wang, Long Ge, Zhaoxiang Bian, James Zou, Yaolong Chen, Lu Zhang, Ye Wang, Haodong Li, Di Zhu, Yuanyuan Yao, Dongrui Peng, Honghao Lai, Jie Zhang, Fan Wang, Minjie Duan, Yueyan Li, Shilin Tang:
RAPID: Reliable and efficient Automatic generation of submission rePortIng checklists with large language moDels. 1340-1349 - Robin Quillivic, Yann Auxéméry, Frédérique Gayraud, Jacques Dayan, Salma Mesmoudi:
Linguistic markers for identifying post-traumatic stress disorder and associated symptoms: a systematic literature review. 1350-1363 - Sadaf Kazi, Zoe Pruitt, Ella S. Franklin, Aaron Z. Hettinger, Raj M. Ratwani, Charlene R. Weir:
The impact of inpatient medication administration technologies on nursing autonomy and practice: a meta-ethnographic synthesis of the qualitative literature. 1364-1379 - Oliver J. Bear Don't Walk IV, Shefali Haldar, Duo Helen Wei, Hu Huang, Rebecca L. Rivera, Jungwei W. Fan, Vipina Kuttichi Keloth, Tiffany I. Leung, Pooja M. Desai, Diane M. Korngiebel, Lisa Grossman Liu, Adrienne Pichon, Vignesh Subbian, Anthony Solomonides, Laura K. Wiley, Omolola Ogunyemi, Gretchen P. Jackson, Irene Dankwa-Mullan, Lisa G. Dirks, Avery Rose Everhart, Andrea G. Parker, Bradley E. Iott, Clair A. Kronk, Randi E. Foraker, Krista G. Martin, Tara Anand, Salvatore G. Volpe, Nathan Yung, Rubina F. Rizvi, Robert Lucero, Tiffani J. Bright:
Developing and sustaining inclusive language in biomedical informatics communications: an AMIA Board of Directors endorsed paper on the Inclusive Language and Context Style Guidelines. 1380-1387 - Sarah E. Soppe, Eman Metwally, Caroline A. Thompson:
Letter to the Editor in response to "Application of a digital quality measure for cancer diagnosis in Epic Cosmos". 1388-1389 - Yu Wang, Xin Ye, Huiping Luo, Wei Feng:
Large language models for identifying depression concerns in cancer patients. 1390-1391 - Correction to: Smart Imitator: Learning from Imperfect Clinical Decisions. 1392
- Correction to: Returning value to communities from the All of Us Research Program through innovative approaches for data use, analysis, dissemination, and research capacity building. 1393
Volume 32, Number 9, 2025
- Suzanne Bakken:
Clinical decision-making and artificial intelligence. 1395-1396 - Rory Davidson, Will Hardman, Guy Amit, Yonatan Bilu, Vincenzo Della Mea, Aleksandr Galaida, Irena Girshovitz, Mikhail Kulyabin, Mihai Horia Popescu, Kevin Roitero, Gleb Sokolov, Chen Yanover:
SNOMED CT entity linking challenge. 1397-1406 - John Mayer, Brooke Delgoffe, Scott J. Hebbring:
Identifying family structures from obituaries and matching them to patients in an electronic heath record. 1407-1414 - Yaling Luo, Zerui Zhao, Xiaojuan Xu, Yueyan Zhao, Feng Yang:
The influence of recommendation algorithms on users' intention to adopt health information: does trust belief play a role? 1415-1424 - Florian Kücking, Ursula H. Hübner, Dorothee Busch:
Diagnostic accuracy differences in detecting wound maceration between humans and artificial intelligence: the role of human expertise revisited. 1425-1433 - Clair Blacketer, Frank J. DeFalco, Mitchell M. Conover, Patrick B. Ryan, Martijn J. Schuemie, Peter R. Rijnbeek:
Evaluation of the impact of defining observable time in real-world data on outcome incidence. 1434-1444 - Samuel Nycklemoe, Sriharsha Devarapu, Yanjun Gao, Kyle A. Carey, Nicholas Kuehnel, Neil Munjal, Priti Jani, Matthew M. Churpek, Dmitriy Dligach, Majid Afshar, Anoop M. Mayampurath:
Explaining alerts from a pediatric risk prediction model using clinical text. 1445-1453 - Victor M. Castro, Vivian S. Gainer, Danielle M. Crookes, Shawn N. Murphy, Justin Manjourides:
Comparing patient-reported symptoms and structured clinician documentation in electronic health records. 1454-1461 - Seunghwan Kim, Robert Thombley, Elise Eiden, Sunny S. Lou, Julia Adler-Milstein, Thomas George Kannampallil, A Jay Holmgren:
Differences in physician electronic health record use by telemedicine intensity: evidence from 2 academic medical centers. 1462-1470 - Diego A. Forero, Sandra E. Abreu, Blanca E. Tovar, Marilyn H. Oermann:
Automated analyses of risk of bias and critical appraisal of systematic reviews (ROBIS and AMSTAR 2): a comparison of the performance of 4 large language models. 1471-1476 - Jenny M. Bauer, Martin Michalowski:
Human-centered explainability evaluation in clinical decision-making: a critical review of the literature. 1477-1484 - Hao Fan, Angela Hardi, Po-Yin Yen:
Supporting clinical reasoning through visual summarization and presentation of patient data: a systematic review. 1485-1498 - Harry Hochheiser, Shyam Visweswaran:
In defense of empathic informatics. 1499-1502
Volume 32, Number 10, 2025
- Suzanne Bakken:
Harnessing data to advance health and health equity. 1503-1504 - Zaifu Zhan, Jun Wang, Shuang Zhou, Jiawen Deng, Rui Zhang:
MMRAG: multi-mode retrieval-augmented generation with large language models for biomedical in-context learning. 1505-1516 - Behnaz Eslami, Majid Afshar, Samie Tootooni, Timothy A. Miller, Matthew M. Churpek, Yanjun Gao, Dmitriy Dligach:
Toward digital twins in the intensive care unit: a medication management case study. 1517-1525 - Jinhong Lv, Yangyang Xu, Mengzhu Jiang, Yuanhao Lv, Jialu Sun, Jinming Lu, Lina Wang, Hongru Wang:
A DeepSeek-powered locally deployed closed-loop system for enhancing quality control in electronic nursing documentation: development and clinical validation. 1526-1532 - Swaminathan Kandaswamy, Evan W. Orenstein, Naveen Muthu, Andrea McCarter, Nikolay Braykov, Jonathan M. Beus, Edwin Ray, Tal Senior, Sara Brown, Rebekah Carter, Marybeth Gleeson, Hannah Thummel, John Cheng, Thuy Bui, Reena Blanco, Kiran Hebbar, James Fortenberry, Srikant Iyer, Mark V. Mai:
Early clinical evaluation of a vendor developed pediatric artificial intelligence sepsis model in the emergency department. 1542-1551 - Swaminathan Kandaswamy, Naveen Muthu, Nikolay Braykov, Rebekah Carter, Reena Blanco, Thuy Bui, Evan Orenstein, Mark V. Mai:
Human performance evaluation of a pediatric artificial intelligence sepsis model. 1552-1561 - Tony K. W. Hung, Jun J. Mao, Alan L. Ho, Eric J. Sherman, Mark Robson, Jae Park, Eytan M. Stein, Gilad J. Kuperman, David G. Pfister:
Real-world evaluation of user engagement with an artificial intelligence-powered clinical trial application in oncology. 1562-1569 - Zifan Gu, Lesi He, Awais Naeem, Pui Man Chan, Asim Mohamed, Hafsa Khalil, Yujia Guo, Jingwei Huang, Ismael Villanueva-Miranda, Ying Ding, Wenqi Shi, Matthew E. Dupre, Guanghua Xiao, Eric D. Peterson, Yang Xie, Ann Marie Navar, Donghan M. Yang:
SBDH-Reader: a large language model-powered method for extracting social and behavioral determinants of health from clinical notes. 1570-1580 - Yousra Javed, Saaketh Bhojanam:
Evaluating privacy policies of AI-powered mHealth iOS applications. 1581-1588 - Tony Y. Sun, Mika Baugh, Emily R. Gordon, Cameron Ekanayake, Nathalie Moise, Noemie Elhadad, Maya Sabatello:
Negative descriptors in electronic health records of patients with diabetes. 1589-1597 - Robert H. Dolin, Nicolae-Mihai Todor, James Shalaby, Huda Arsalan, Eshani Shah, Nedah Basravi, Ammar Husami, Akash Rampersad, Bret S. E. Heale, Srikar Chamala:
Genetic data normalization for genomic medicine: a Fast Healthcare Interoperability Resources Genomics reference implementation. 1598-1608 - Marcin J. Domagalski, Yin Lu, Alexander Pilozzi, Alicia Williamson, Padmini Chilappagari, Emma Luker, Courtney D. Shelley, Anya Dabic, Michael A Keller, Rebecca M. Rodriguez, Sharon Lawlor, Ratna R. Thangudu:
Preparing clinical research data for artificial intelligence readiness: insights from the National Institute of Diabetes and Digestive and Kidney Diseases data centric challenge. 1609-1616 - Anne M. Holbrook, Jessyca Matos Silva, Junaid Ahmed Yaser Faruque, Jiawen Deng, Tyler Schneider, Aliya Jaffer:
Effect of electronic drug-drug interaction alerts on patient and clinician outcomes: a systematic review. 1617-1628 - William R. Harris, Marianna S. Hernandez, Khanh N. H. Ngo, Anne Fladger, Charles A Brunette, Sulaiman R. Hamarneh, Joshua W. Knowles, Matthew S. Lebo, Jason Vassy:
Electronic health records-based algorithms to screen for U.S. Centers for Disease Control and Prevention tier 1 genetic diseases: a scoping review. 1629-1637
Volume 32, Number 11, 2025
- Suzanne Bakken:
Bias, artificial intelligence, and humans. 1639-1640 - Zijun Wang, Xi Liu, Kaitai Han, Lixin Lei, Chaojing Shi, Wu Liu, Qianjin Guo:
Multimodal deep learning for immunotherapy response prediction and biomarker discovery in non-small cell lung cancer. 1641-1653 - Jiayi Tong, Yifei Sun, Rebecca A. Hubbard, M. Elle Saine, Hua Xu, Xu Zuo, Lifeng Lin, Chunhua Weng, Christopher H. Schmid, Stephen E. Kimmel, Craig A. Umscheid, Adam Cuker, Yong Chen:
Incorporating preprints in systematic reviews: a preliminary study of a novel method for rapid evidence synthesis. 1654-1663 - Levi Kaster, Ethan Hillis, Inez Y. Oh, Elizabeth C. Cordell, Randi E. Foraker, Albert M. Lai, Stephanie M. Morris, David H. Gutmann, Philip R. O. Payne, Aditi Gupta:
Comparison of rule- and large language model-based phenotype extraction from clinical notes for neurofibromatosis type 1. 1663-1673 - Lina Tieu, Courtney R. Lyles, Hyunjin Cindy Kim, Isabel Luna, Jeanette Wong, Naomi Lopez-Solano, Junhong Li, Andersen Yang, Jorge A. Rodríguez, Oanh Kieu Nguyen, Alejandra Casillas, Emilia H. De Marchis, Anita L. Stewart, Torsten B. Neilands, Elaine C. Khoong:
A self-report measure of digital skills needed to use digital health tools among older adults - the Skills Measurement and Readiness Training for Digital Health (SMART Digital Health) Scale. 1674-1684 - Shivani Mehta, William Brown III, Urmimala Sarkar, Nathan Tran, Yulin Hswen, Matthew S. Pantell:
Examining housing insecurity and transportation barriers in pediatric hospital readmissions: insights from structured and unstructured data. 1685-1692 - Raina Langevin, Deepthi Mohanraj, Libby Shah, Janice Sabin, Brian R. Wood, Wanda Pratt, Nadir Weibel, Andrea L. Hartzler:
Envisioning the future of primary care: intervention strategies to support patient-centered communication feedback technology. 1693-1705 - Hugo A. Guillen-Ramirez, Daniel Sánchez-Taltavull, Stéphanie Perrodin, Sarah Peisl, Karen Triep, Christophe Gaudet-Blavignac, Olga Endrich, Guido Beldi:
Prediction of postoperative infections by strategic data imputation and explainable machine learning. 1706-1717 - Rui Yang, Jiayi Tong, Haoyuan Wang, Hui Huang, Ziyang Hu, Peiyu Li, Nan Liu, Christopher J. Lindsell, Michael J. Pencina, Yong Chen, Chuan Hong:
Enabling inclusive systematic reviews: incorporating preprint articles with large language model-driven evaluations. 1718-1725 - Julia Adler-Milstein, Ariel Linden, Renee Y. Hsia, Jordan Everson:
Electronic connectivity between hospital pairs: impact on emergency department-related utilization. 1726-1734 - Natalia S. Dellavalle, Jessica R. Ellis, Annie A Moore, Marlee Akerson, Matt Andazola, Eric G. Campbell, Matthew Decamp:
What patients want from healthcare chatbots: insights from a mixed-methods study. 1735-1745 - Eileen Koski, Amar K. Das, Pei-Yun Sabrina Hsueh, Anthony Solomonides, Amanda L. Joseph, Gyana Srivastava, Carl Erwin Johnson, Joseph L. Kannry, Bilikis Oladimeji, Amy Price, Steven E. Labkoff, Gnana Bharathy, Baihan Lin, Douglas B. Fridsma, Lee A Fleisher, Monica Lopez-Gonzalez, Reva Singh, Mark G. Weiner, Robert Stolper, Russell Baris, Suzanne Sincavage, Tristan Naumann, Tayler Williams, Tien Thi Thuy Bui, Yuri Quintana:
Towards responsible artificial intelligence in healthcare - getting real about real-world data and evidence. 1746-1755 - Ibrahim Serhat Karakus, Inna Strechen, Ankita Gupta, Keivan Nalaie, Christine L. Chen, Leslie C. Hassett, Amelia K. Barwise:
Bridging language gaps in healthcare: a systematic review of the practical implementation of neural machine translation technologies in clinical settings. 1756-1766 - Anastasia Chan, Hania Rahimi-Ardabili, Wendy A. Rogers, Enrico W. Coiera:
The real-world impact of artificial intelligence ethics frameworks across a decade in healthcare: a scoping review. 1767-1777 - Ada H. Tsoi, Gary Gartner, Steven W. Cotten, John Kim, John Nazarian, Joseph Thomas, Steven David McSwain, Rachini Ahmadi-Moosavi, Ram Rimal:
Establishing and implementing a responsible artificial intelligence framework: a 1-year review. 1778-1784 - Laleh Jalilian, Paul J. Lukac, Meghan Lane-Fall:
Enhancing Structured Team Communication in Acute Care Settings with Ambient AI Scribes. 1785-1789 - Retraction and replacement of: Electronic connectivity between hospital pairs: impact on emergency department-related utilization. 1789
Volume 32, Number 12, 2025
- Suzanne Bakken:
Frameworks and methods. 1791-1792 - Merlin Engelke, Giulia Baldini, Jens Kleesiek, Felix Nensa, Amin Dada:
FHIR-Former: enhancing clinical predictions through Fast Healthcare Interoperability Resources and large language models. 1793-1801 - Sinan L. Aktay, Ozan A Aktay, Samia Menon, Shuo Jim Huang, Rozalina G. McCoy:
Supporting public transit research in healthcare settings: testing a free, fast, and secure method for routing public transit from patient address to the point of care. 1802-1810 - Raheel Sayeed, David A. Kreda, Joshua C. Mandel, Bryan Larson, William J. Gordon, Kenneth D. Mandl, Isaac S. Kohane:
A standards-based approach to digital health research: implementing the people heart study. 1811-1821 - Samrachana Adhikari, Tyrel Stokes, Xiyue Li, Yunan Zhao, Cassidy Fitchett, Nathalia Ladino, Steven Lawrence, Min Qian, Young S. Cho, Carine Hamo, John A Dodson, Rumi Chunara, Ian M. Kronish, Amrita Mukhopadhyay, Saul Blecker:
Machine learning based prediction of medication adherence in heart failure using large electronic health record cohort with linkages to pharmacy-fill and neighborhood-level data. 1822-1832 - Ekaterina Redekop, Zichen Wang, Rushikesh Kulkarni, Mara Pleasure, Aaron Chin, Hamid Reza Hassanzadeh, Brian L. Hill, Melika Emami, William Speier, Corey W. Arnold:
Zero-shot medical event prediction using a generative pretrained transformer on electronic health records. 1833-1842 - Lisa Pilgram, Samer El Kababji, Dan Liu, Khaled El Emam:
Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data. 1843-1854 - Thibaut Fabacher, Erik-André Sauleau, Emmanuelle Arcay, Bineta Faye, Maxime Alter, Archia Chahard, Nathan Miraillet, Adrien Coulet, Aurélie Névéol:
Efficient extraction of medication information from clinical notes: an evaluation in 2 languages. 1855-1864 - Fateme Nateghi Haredasht, Iván López, Steven Tate, Pooya Ashtari, Min Min Chan, Deepali Kulkarni, Chwen-Yuen Angie Chen, Maithri Vangala, Kira Griffith, Bryan Bunning, Adam S. Miner, Tina Hernandez-Boussard, Keith Humphreys, Anna Lembke, L. Alexander Vance, Jonathan H. Chen:
Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features. 1865-1876 - Shelly Soffer, Mahmud Omar, Moran Gendler, Benjamin S. Glicksberg, Patricia H. Kovatch, Orly Efros, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang:
A scalable framework for benchmark embedding models in semantic health-care tasks. 1877-1887 - Vijeeth Guggilla, Mengjia Kang, Melissa J. Bak, Steven D. Tran, Anna Pawlowski, Prasanth Nannapaneni, Luke V. Rasmussen, Daniel Schneider, Helen K. Donnelly, Ankit Agrawal, David M. Liebovitz, Alexander V. Misharin, G. R. Scott Budinger, Richard G. Wunderink, Theresa L. Walunas, Catherine A. Gao, Alan R. Hauser, Alec Peltekian, Alexis Rose Wolfe, Alison L. Szabo, Alok N. Choudhary, Amy Ludwig, Anahid Amani Moghadam, Anjana V. Yeldandi, Ankit Bharat, Anna E. Pawlowski, Anthony M. Joudi, Arjun Prakash Tambe, Ashley J. Smith-Nunez, Benjamin D. Singer, Benjamin J. Ulrich, Betty Tran, Cara J. Gottardi, Chao Qi, Chiagozie O. Pickens, Clara J. Schroedl, Daniel Meza, Dulce Sarai Garcia, Egon A Ozer, Elen Gusman, Elisheva D. Shanes, Emily Mower Provost, Emily M. Olson, Erica Marie Hartmann, Erin A Korth, Estefani Diaz, Estefany R. Guzman, Francisco J. Martinez, Gabrielle Matias, Hiam Abdala-Valencia, Jack T. Sumner, Jacob I Sznajder, Jacqueline M. Kruser, Jakub Glowala, James M. Walter, Jamie H. Rowell, Jason M. Arnold, John Coleman, Jon W. Lomasney, Joseph Isaac Bailey, Judd Hultquist, Justin A Fiala, Justin Starren, Karen M. Ridge, Karolina Senkow, Kathryn A Helmin, Khalilah L. Gates, Lacy Simmons, Lesley Pinzon, Lindsey D. Gradone, Lisa F. Wolfe, Lucy Luo, Luisa Morales-Nebreda, Manu Jain, Marc Sala, Maxwell Schleck, Melissa H. Ross, Melissa Querrey, Michael J. Cuttica, Michelle Hinsch Prickett, Nandita R. Nadig, Nathaniel Rhodes, Navdeep S. Chandel, Nikolay S. Markov, Peter H. S. Sporn, Qianli Liu, Rachel B. Kadar, Rachel L. Medernach, Ramon Lorenzo-Redondo, Ravi Kalhan, Rebecca K. Clepp, Richard I Morimoto, Rogan A Grant, Ruben J. Mylvaganam, Samuel Fenske, Scott A Laurenzo, Sean Smith, Seung Hye Han, Sophia Nozick, Srinivas Panchamukhi, Stephanie C. Eisenbarth, Suchitra Swaminathan, Susan R. Russell, Taylor A Poor, Thaddeus Cybulski, Theresa A Lombardo, Thomas Bolig, Thomas Stoeger, Tien Doan, Timothy Rowe, Wan-Ting Liao, Yuan Luo, Yuliana Sokolenko, Zhan Yu, Ziyan Lu:
Large language models accurately identify immunosuppression in intensive care unit patients. 1888-1898 - Sameh N. Saleh, Kevin B. Johnson:
Development and application of desiderata for automated clinical ordering. 1899-1907 - Dimitrios Bounias, Lina Simons, Michael Baumgartner, Chris Ehring, Peter Neher, Lorenz A. Kapsner, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Lena Maier-Hein, Michael Uder, Evelyn Wenkel, Klaus H. Maier-Hein, Sebastian Bickelhaupt:
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload. 1908-1915 - Yudong Wang, Dazheng Zhang, Jiayi Tong, Xing He, Liang Li, Lichao Sun, Ashutosh M. Shukla, Jiang Bian, David A. Asch, Yong Chen:
A communication-efficient federated learning algorithm to assess racial disparities in post-transplantation survival time. 1916-1926 - Brian H. Park, Chun-Nan Hsu, Austin Nguyen, Ying Q. Zhou, Rodney A. Gabriel:
Improving postoperative length of stay forecasting with retrieval-augmented prediction. 1927-1935 - Mengman Wei, Qian Peng:
Hillclimb-Causal Inference: a data-driven approach to identify causal pathways among parental behaviors, genetic risk, and externalizing behaviors in children. 1936-1946 - Jessica J. Pourian, Ben Michaels, Anh Vo, A Jay Holmgren, Augusto Garcia-Agundez, Valerie Flaherman:
A SNAPpy use of large language models: using large language models to classify treatment plans in pediatric acute otitis media. 1947-1951
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-02-17 22:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
