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Journal 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 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 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 Shanafelt, Michael A. Pfeffer, Christopher 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 Shanafelt, Michael A. Pfeffer, Christopher 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 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 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

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