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ORCIDJournal of the American Medical Informatics Association, Volume 31
Volume 31, Number 1, December 2023
- William W. Stead
, Randolph A. Miller, Lucila Ohno-Machado, Suzanne Bakken:
JAMIA at 30: looking back and forward. 1-9 - Kamran Abbasi, Parveen Ali, Virginia Barbour, Thomas Benfield, Kirsten Bibbins-Domingo, Stephen Hancocks, Richard Horton, Laurie Laybourn-Langton, Robert Mash, Peush Sahni, Wadeia Mohammad Sharief, Paul Yonga, Chris Zielinski:
Time to treat the climate and nature crisis as one indivisible global health emergency. 10-12 - Suzanne Bakken:
User interfaces remain an important area of study. 13-14 - Julia Adler-Milstein, Ariel Linden, Renee Y. Hsia, Jordan Everson:
Electronic connectivity between hospital pairs: impact on emergency department-related utilization. 15-23 - Nusa Faric, Sue Hinder, Robin Williams, Rishi Ramaesh, Miguel O. Bernabeu, Edwin van Beek, Kathrin M. Cresswell:
Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study. 24-34 - Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Lukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney, Justin Guinney:
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. 35-44 - Norina Gasteiger, Sabine N. van der Veer, Paul Wilson, Dawn Dowding:
Virtual reality and augmented reality smartphone applications for upskilling care home workers in hand hygiene: a realist multi-site feasibility, usability, acceptability, and efficacy study. 45-60 - Alvin D. Jeffery, Carrie Reale, Janelle Faiman, Vera Borkowski, Russ Beebe, Michael E. Matheny, Shilo Anders:
Inpatient nurses' preferences and decisions with risk information visualization. 61-69 - Karen Konkel, Nurettin Oner, Abdulaziz Ahmed, S. Christopher Jones, Eta S. Berner, Ferhat D. Zengul:
Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS). 70-78 - Donghwan Yun, Hyun-Lim Yang, Soonil Kwon, So-Ryoung Lee, Kyungju Kim, Kwangsoo Kim, Hyung-Chul Lee, Chul-Woo Jung, Yon Su Kim, Seung Seok Han:
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture. 79-88 - Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller:
Improving model transferability for clinical note section classification models using continued pretraining. 89-97 - Garrett Eickelberg, Lazaro Nelson Sanchez-Pinto, Adrienne S. Kline, Yuan Luo:
Transportability of bacterial infection prediction models for critically ill patients. 98-108 - Clara Mosquera Lopez, Valentina Roquemen-Echeverri, Nichole S. Tyler, Susana R. Patton, Mark A. Clements, Corby K. Martin, Michael C. Riddell, Robin L. Gal, Melanie Gillingham, Leah M. Wilson, Jessica R. Castle, Peter G. Jacobs:
Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections. 109-118 - Anna Ostropolets, George Hripcsak, Syed A Husain, Lauren R. Richter, Matthew E. Spotnitz, Ahmed Elhussein, Patrick B. Ryan:
Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records. 119-129 - Chan Joo Lee, Tyler Hyungtaek Rim, Hyun Goo Kang, Joseph Keunhong Yi, Geunyoung Lee, Marco Yu, Soo-Hyun Park, Jin-Taek Hwang, Yih Chung Tham, Tien Yin Wong, Ching-Yu Cheng, Dong Wook Kim, Sung Soo Kim, Sungha Park:
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI. 130-138 - David J. Schlueter, Lina M. Sulieman, Huan Mo, Jacob M. Keaton, Tracey M. Ferrara, Ariel Williams, Jun Qian, Onajia J. Stubblefield, Chenjie Zeng, Tam C. Tran, Lisa Bastarache, Jian Dai, Anav Babbar, Andrea H. Ramirez, Slavina Goleva, Joshua C. Denny:
Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. 139-153 - Jaleal Sanjak, Jessica Binder, Arjun Singh Yadaw, Qian Zhu, Ewy A Mathé:
Clustering rare diseases within an ontology-enriched knowledge graph. 154-164 - Piaopiao Li, Tianchen Lyu, Khalid Alkhuzam, Eliot Spector, William T. Donahoo, Sarah Bost, Yonghui Wu, William R. Hogan, Mattia Prosperi, Desmond A. Schatz, Mark A Atkinson, Michael J. Haller, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Hui Shao:
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. 165-173 - Catherine J. Staes, Anna C Beck, George Chalkidis, Carolyn H. Scheese, Teresa Taft, Jia-Wen Guo, Michael G. Newman, Kensaku Kawamoto, Elizabeth A. Sloss, Jordan P. McPherson:
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach. 174-187 - Akshay Swaminathan, Iván López, William Wang, Ujwal Srivastava, Edward Tran, Aarohi Bhargava-Shah, Janet Y. Wu, Alexander L. Ren, Kaitlin Caoili, Brandon Bui, Layth Alkhani, Susan Lee, Nathan Mohit, Noel Seo, Nicholas Macedo, Winson Cheng, Charles Liu, Reena Thomas, Jonathan H. Chen, Olivier Gevaert:
Selective prediction for extracting unstructured clinical data. 188-197 - Chaoqi Yang, Junyi Gao, Lucas Glass, Adam Cross, Jimeng Sun:
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus. 198-208 - Erica A. Voss, Clair Blacketer, Sebastiaan van Sandijk, Maxim Moinat, Michael Kallfelz, Michel Van Speybroeck, Daniel Prieto-Alhambra, Martijn J. Schuemie, Peter R. Rijnbeek:
European Health Data & Evidence Network - learnings from building out a standardized international health data network. 209-219 - Carianne Martinez, Drew Levin, Jessica Jones, Patrick D. Finley, Benjamin H. McMahon, Sayera Dhaubhadel, Judith Cohn, David W. Oslin, Nathan A. Kimbrel, Jean C. Beckham:
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans. 220-230 - Jukrin Moon, Jason S. Chladek, Paije Wilson, Michelle A. Chui:
Clinical decision support systems in community pharmacies: a scoping review. 231-239 - Olatunde O. Madandola, Ragnhildur I. Bjarnadottir, Yingwei Yao, Margaret Ansell, Fabiana C. Dos Santos, Hwayoung Cho, Karen Dunn Lopez, Tamara Goncalves Rezende Macieira, Gail M. Keenan:
The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review. 240-255 - Yik-Ki Jacob Wan, Melanie C. Wright, Mary M. McFarland, Deniz Dishman, Mary A Nies, Adriana Rush, Karl Madaras-Kelly, Amanda Jeppesen, Guilherme Del Fiol:
Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review. 256-273 - Sharon E. Davis, Michael E. Matheny, Suresh Balu, Mark P. Sendak:
A framework for understanding label leakage in machine learning for health care. 274-280 - Correction. 281
Volume 31, Number 2, January 2024
- Adriana Arcia, Natalie C. Benda, Danny T. Y. Wu:
Advancing the science of visualization of health data for lay audiences. 283-288 - Pooja M. Desai, Sarah Harkins, Saanjaana Rahman, Shiveen Kumar, Alison Hermann, Rochelle Joly, Yiye Zhang, Jyotishman Pathak, Jessica Kim, Deborah D'angelo, Natalie C. Benda, Meghan Reading Turchioe:
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. 289-297 - Bahareh Ansari, Erika G. Martin:
Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State. 298-305 - Aimiel Casillan, Michelle E. Florido, Jamie Galarza-Cornejo, Suzanne Bakken, John A Lynch, Wendy K. Chung, Kathleen F. Mittendorf, Eta S. Berner, John J. Connolly, Chunhua Weng, Ingrid A. Holm, Atlas Khan, Krzysztof Kiryluk, Nita A Limdi, Lynn Petukhova, Maya Sabatello, Julia Wynn:
Participant-guided development of bilingual genomic educational infographics for Electronic Medical Records and Genomics Phase IV study. 306-316 - Lynne M. Cotter, Sijia Yang:
Are interactive and tailored data visualizations effective in promoting flu vaccination among the elderly? Evidence from a randomized experiment. 317-328 - Samantha Stonbraker, Gabriella Sanabria, Christine Tagliaferri Rael, Maureen George, Silvia Amesty, Ana F. Abraído-Lanza, Tawandra Rowell-Cunsolo, Sophia Centi, Bryan McNair, Suzanne Bakken, Rebecca Schnall:
A pilot test of an infographic-based health communication intervention to enhance patient education among Latino persons with HIV. 329-341 - Riley Cullen, Elizabeth M. Heitkemper, Uba Backonja, Betty Bekemeier, Ha Kyung Kong:
Designing an infographic webtool for public health. 342-353 - Maeve Brin, Paul Trujillo, Ming-Chun Huang, Patricia Cioe, Huan Chen, Wenyao Xu, Rebecca Schnall:
Development and evaluation of visualizations of smoking data for integration into the Sense2Quit app for tobacco cessation. 354-362 - Emily Ruzich, Jason Ritchie, France Ginchereau Sowell, Aliyah Mansur, Pip Griffiths, Hannah Birkett, Diane Harman, Jayne Spink, David James, Matthew Reaney:
A powerful partnership: researchers and patients working together to develop a patient-facing summary of clinical trial outcome data. 363-374 - Surabhi Datta, Kyeryoung Lee, Hunki Paek, Frank J. Manion, Nneka Ofoegbu, Jingcheng Du, Ying Li, Liang-Chin Huang, Jingqi Wang, Bin Lin, Hua Xu, Xiaoyan Wang:
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models. 375-385 - Monika E. Grabowska, Sara L. Van Driest, Jamie R. Robinson, Anna E. Patrick, Chris Guardo, Srushti Gangireddy, Henry H. Ong, QiPing Feng, Robert J. Carroll, Prince J. Kannankeril, Wei-Qi Wei:
Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. 386-395 - Yanfei Wang, Weiling Zhao, Angela Ross, Lei You, Hongyu Wang, Xiaobo Zhou:
Revealing chronic disease progression patterns using Gaussian process for stage inference. 396-405 - Peter Graffy, Lindsay P. Zimmerman, Yuan Luo, Jingzhi Yu, Yuni Choi, Rachel Zmora, Donald Lloyd-Jones, Norrina B. Allen:
Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study. 406-415 - Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo, Jason Baron:
Using machine learning to develop smart reflex testing protocols. 416-425 - Huixue Zhou, Robin Austin, Sheng-Chieh Lu, Greg M. Silverman, Yuqi Zhou, Halil Kilicoglu, Hua Xu, Rui Zhang:
Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition. 426-434 - Maryam Zolnoori, Sridevi Sridharan, Ali Zolnour, Sasha Vergez, Margaret V. McDonald, Zoran Kostic, Kathryn H. Bowles, Maxim Topaz:
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare. 435-444 - Wei Feng, Honghan Wu, Hui Ma, Zhenhuan Tao, Mengdie Xu, Xin Zhang, Shan Lu, Cheng Wan, Yun Liu:
Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study. 445-455 - Wei-Chun Lin, Aiyin Chen, Xubo Song, Nicole Gray Weiskopf, Michael F. Chiang, Michelle R. Hribar:
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data. 456-464 - Ching-Tzu Tsai, Gargi Rajput, Andy Gao, Yue Wu, Danny T. Y. Wu:
Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study. 465-471 - Sarah K. Savage, Jonathan Lotempio, Erica D. Smith, E. Hallie Andrew, Gloria Mas, Amanda H. Kahn-Kirby, Emmanuèle Délot, Andrea J. Cohen, Georgia Pitsava, Robert Nussbaum, Vincent A. Fusaro, Seth Berger, Eric Vilain:
Using a chat-based informed consent tool in large-scale genomic research. 472-478 - Darren Chau, José Parra, Maricel G. Santos, María José Bastías, Rebecca Kim, Margaret A. Handley:
Community engagement in the development of health-related data visualizations: a scoping review. 479-487 - Maxene Graze, Jonathan A. Schwabish:
Building color palettes in your data visualization style guides. 488-498 - Nichole Pereira, Jonathan P. Duff, Tracy Hayward, Tamizan Kherani, Nadine Moniz, Chrystale Champigny, Andrew Carson-Stevens, Paul Bowie, Rylan Egan:
Methods for studying medication safety following electronic health record implementation in acute care: a scoping review. 499-508 - Anton H. van der Vegt, Victoria Campbell, Imogen Mitchell, James Malycha, Joanna Simpson, Tracy Flenady, Arthas Flabouris, Paul J. Lane, Naitik Mehta, Vikrant R. Kalke, Jovie A Decoyna, Nicholas Es'haghi, Chun-Huei Liu, Ian A Scott:
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. 509-524 - Jessica S. Ancker, Natalie C. Benda, Brian J. Zikmund-Fisher:
Do you want to promote recall, perceptions, or behavior? The best data visualization depends on the communication goal. 525-530 - Allyson Ferguson, Denise Goldsmith, Patricia Flatley Brennan:
Visualization of health information within immersive virtual reality environments. 531-535 - Nephi A. Walton, Radhakrishnan Nagarajan, Chen Wang, Murat Sincan, Robert R. Freimuth, David B. Everman, Derek C. Walton, Scott P. McGrath, Dominick J. Lemas, Panayiotis V. Benos, Alexander V. Alekseyenko, Qianqian Song, Ece D. Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas N. Person, Nadav Rappoport, Zhongming Zhao, Marc S. Williams:
Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup. 536-541 - Sabrina Mangal, Lauren Berger, Jean-Marie Bruzzese, Alexandra de la Cruz, Maichou Lor, Imama A Naqvi, Eugenio Solis de Ovando, Nicole Spiegel-Gotsch, Samantha Stonbraker, Adriana Arcia:
Seeing things the same way: perspectives and lessons learned from research-design collaborations. 542-547 - Correction to: Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS). 548
Volume 31, Number 3, February 2024
- Suzanne Bakken, James J. Cimino, Sue S. Feldman, Nancy M. Lorenzi:
Celebrating Eta Berner and her influence on biomedical and health informatics. 549-551 - Tad T. Brunyé, Kelsey Booth, Dalit D. Hendel, Kathleen F. Kerr, Hannah Shucard, Donald L. Weaver, Joann G. Elmore:
Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies. 552-562 - Max Kasun, Katie Ryan, Jodi Paik, Kyle Lane-McKinley, Laura Bodin Dunn, Laura Weiss Roberts, Jane Paik Kim:
Academic machine learning researchers' ethical perspectives on algorithm development for health care: a qualitative study. 563-573 - Joshua C. Smith, Brian D. Williamson, David J. Cronkite, Daniel Park, Jill M. Whitaker, Michael F. McLemore, Joshua Osmanski, Robert Winter, Arvind Ramaprasan, Ann Kelley, Mary Shea, Saranrat Wittayanukorn, Danijela Stojanovic, Yueqin Zhao, Sengwee Toh, Kevin B. Johnson, David Aronoff, David S. Carrell:
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. 574-582 - Christian G. Reich, Anna Ostropolets, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie, Alexander Davydov, Dmitry Dymshyts, George Hripcsak:
OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization. 583-590 - Junbo Wu, Christina T. Yuan, Rachel Moyal-Smith, Elizabeth C. Wick, Michael A. Rosen:
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care. 591-599 - Joanna Lawrence, Mike South, Harriet Hiscock, Daniel Capurro, Anurag Sharma, Jemimah Ride:
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital. 600-610 - Amelia K. Barwise, Susan Curtis, Daniel Diedrich, Brian W. Pickering:
Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives. 611-621 - Sigall K. Bell, Maelys J. Amat, Timothy S. Anderson, Mark D. Aronson, James C. Benneyan, Leonor Fernandez, Dru A Ricci, Talya Salant, Gordon D. Schiff, Umber Shafiq, Sara J. Singer, Scot B. Sternberg, Cancan Zhang, Russell S. Phillips:
Do patients who read visit notes on the patient portal have a higher rate of "loop closure" on diagnostic tests and referrals in primary care? A retrospective cohort study. 622-630 - Caitlin G. Allen, Grace Neil, Chanita Halbert-Hughes, Katherine Sterba, Paul J. Nietert, Brandon M. Welch, Leslie Lenert:
Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices. 631-639 - Jianhui Gao, Clara-Lea Bonzel, Chuan Hong, Paul Varghese, Karim Zakir, Jessica L. Gronsbell:
Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms. 640-650 - Louis Mullie, Jonathan Afilalo, Patrick M. Archambault, Rima Bouchakri, Kip Brown, David L. Buckeridge, Yiorgos Alexandros Cavayas, Alexis F. Turgeon, Denis Martineau, François Lamontagne, Martine Lebrasseur, Renald Lemieux, Jeffrey Li, Michaël Sauthier, Pascal St-Onge, An Tang, William Witteman, Michael Chassé:
CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data. 651-665 - Sarah B. May, Thomas P. Giordano, Assaf Gottlieb:
Generalizable pipeline for constructing HIV risk prediction models across electronic health record systems. 666-673 - Marcy G. Antonio, Tiffany C. Veinot:
From illness management to quality of life: rethinking consumer health informatics opportunities for progressive, potentially fatal illnesses. 674-691 - Aaron M. Cohen, Jolie Kaner, Ryan Miller, Jeffrey W. Kopesky, William R. Hersh:
Automatically pre-screening patients for the rare disease aromatic l-amino acid decarboxylase deficiency using knowledge engineering, natural language processing, and machine learning on a large EHR population. 692-704 - Nicoleta J. Economou-Zavlanos, Sophia Bessias, Michael P. Cary, Armando Bedoya, Benjamin Goldstein, John Eric Jelovsek, Cara O'Brien, Nancy Walden, Matthew Elmore, Amanda B. Parrish, Scott Elengold, Kay S. Lytle, Suresh Balu, Michael E. Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y. Ming, David M. Gallagher, Michael J. Pencina, Eric G. Poon:
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. 705-713 - Bradley E. Iott, Samantha Rivas, Laura M. Gottlieb, Julia Adler-Milstein, Matthew S. Pantell:
Structured and unstructured social risk factor documentation in the electronic health record underestimates patients' self-reported risks. 714-719 - Heath A. Davis, Donna A. Santillan, Chris E. Ortman, Asher A. Hoberg, Joseph P. Hetrick, Charles W. McBrearty, Erliang Zeng, Mary S. Vaughan Sarrazin, Karen Dunn Lopez, Cole G. Chapman, Ryan M. Carnahan, Jacob J. Michaelson, Boyd M. Knosp:
The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem. 720-726 - Kimberly F. McManus, Johnathon Michael Stringer, Neal Corson, Samah J. Fodeh, Steven Steinhardt, Forrest L. Levin, Asqar S. Shotqara, Joseph D'auria, Elliot M. Fielstein, Glenn T. Gobbel, John Scott, Jodie Trafton, Tamar H. Taddei, Joseph Erdos, Suzanne R. Tamang:
Deploying a national clinical text processing infrastructure. 727-731 - Mashael Alowais, Georgina Rudd, Victoria Besa, Hamde Nazar, Tejal Shah, Clare L. Tolley:
Digital literacy in undergraduate pharmacy education: a scoping review. 732-745 - Hang Ding, Joshua Simmich, Atiyeh Vaezipour, Nicole Andrews, Trevor Russell:
Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. 746-761 - Vishal Anand Shetty, Shauna Durbin, Meghan S. Weyrich, Airín Denise Martínez, Jing Qian, David L. Chin:
A scoping review of empathy recognition in text using natural language processing. 762-775 - Trista M. Benítez, Yueyuan Xu, J. Donald Boudreau, Alfred Wei Chieh Kow, Fernando Bello, Le Van Phuoc, Xiaofei Wang, Xiaodong Sun, Gilberto Ka-Kit Leung, Yanyan Lan, Yaxing Wang, Davy Cheng, Yih Chung Tham, Tien Yin Wong, Kevin C. Chung:
Harnessing the potential of large language models in medical education: promise and pitfalls. 776-783 - Adam Rule, Thomas George Kannampallil, Michelle R. Hribar, Adam C. Dziorny, Robert Thombley, Nate C. Apathy, Julia Adler-Milstein:
Guidance for reporting analyses of metadata on electronic health record use. 784-789 - Julian Tugaoen, Alana Becker, Chenmeinian Guo, Efthimios Parasidis, Shaileshh Bojja Venkatakrishnan, José Javier Otero:
Web3-based storage solutions for biomedical research and clinical data exchange. 790-793
Volume 31, Number 4, 2024
- Suzanne Bakken:
Engaging knowers in the design and implementation of digital health innovations. 795-796 - Robert F. Lario, Richard Soley, Stephen White, John Butler, Guilherme Del Fiol, Karen Eilbeck, Stanley M. Huff, Kensaku Kawamoto:
The Business Process Management for Healthcare (BPM+ Health) Consortium: motivation, methodology, and deliverables for enabling clinical knowledge interoperability (CKI). 797-808 - Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan, M. Elle Saine, Lifeng Lin, Yifan Peng, Yiwen Lu, Anchita Batra, Anni Pan, Olivia Wang, Ruowang Li, Arielle Marks-Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen:
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. 809-819 - Alexia Giannoula, Mercè Comas, Xavier Castells, Francisco Estupiñán-Romero, Enrique Bernal-Delgado, Ferran Sanz, Maria Sala:
Exploring long-term breast cancer survivors' care trajectories using dynamic time warping-based unsupervised clustering. 820-831 - Alicia Williamson, Marcy G. Antonio, Sage Davis, Vaishnav Kameswaran, Tawanna R. Dillahunt, Lorraine R. Buis, Tiffany C. Veinot:
Human technology intermediation to reduce cognitive load: understanding healthcare staff members' practices to facilitate telehealth access in a Federally Qualified Health Center patient population. 832-845 - Chenjie Zeng, David J. Schlueter, Tam C. Tran, Anav Babbar, Thomas Cassini, Lisa Bastarache, Joshua C. Denny:
Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank. 846-854 - Veer Sangha, Akshay Khunte, Gregory Holste, Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou, Rohan Khera:
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. 855-865 - Wesley Barker, Natalya Maisel, Catherine E. Strawley, Grace K. Israelit, Julia Adler-Milstein, Benjamin I. Rosner:
A national survey of digital health company experiences with electronic health record application programming interfaces. 866-874 - Brock Daniels, Christina McGinnis, Leah Shafran Topaz, Peter W. Greenwald, Meghan Reading Turchioe, Ruth M. Masterson Creber, Rahul Sharma:
Bridging the digital health divide - patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity. 875-883 - Ellen Kim, Melissa Van Cain, Jonathan D. Hron:
Job search strategies and early careers of clinical informatics fellowship alumni (2016-2022). 884-892 - Paige Nong, Julia Adler-Milstein, Sharon L. R. Kardia, Jodyn Platt:
Public perspectives on the use of different data types for prediction in healthcare. 893-900 - Dylan Phelan, Daniel Gottlieb, Joshua C. Mandel, Vladimir Ignatov, James Jones, Brett Marquard, Alyssa Ellis, Kenneth D. Mandl:
Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface. 901-909 - Dinah Foer, David M. Rubins, Vi Nguyen, Alex McDowell, Meg Quint, Mitchell Kellaway, Sari L. Reisner, Li Zhou, David W. Bates:
Utilization of electronic health record sex and gender demographic fields: a metadata and mixed methods analysis. 910-918 - Konstantinos Sideris, Charlene R. Weir, Carsten Schmalfuss, Heather Hanson, R. Matthew Pipke, Po-He Tseng, Neil Lewis, Karim Sallam, Biykem Bozkurt, Thomas Hanff, Richard Schofield, Karen A. Larimer, Christos P. Kyriakopoulos, Iosif Taleb, Lina Brinker, Tempa Curry, Cheri Knecht, Jorie M. Butler, Josef Stehlik:
Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial. 919-928 - Katherine K. Kim, Uba Backonja:
Perspectives of community-based organizations on digital health equity interventions: a key informant interview study. 929-939 - Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman:
Evaluating the ChatGPT family of models for biomedical reasoning and classification. 940-948 - Malvika Pillai, José D. Posada, Rebecca M. Gardner, Tina Hernandez-Boussard, Yair Bannett:
Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models. 949-957 - Seung-Yup (Joshua) Lee, Mohammed Alzeen, Abdulaziz Ahmed:
Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing. 958-967 - Siru Liu, Allison B. McCoy, Josh F. Peterson, Thomas A Lasko, Dean F. Sittig, Scott D. Nelson, Jennifer Andrews, Lorraine Patterson, Cheryl M. Cobb, David Mulherin, Colleen T. Morton, Adam Wright:
Leveraging explainable artificial intelligence to optimize clinical decision support. 968-974 - Tyler Haberle, Courtney Cleveland, Greg L. Snow, Chris Barber, Nikki Stookey, Cari Thornock, Laurie Younger, Buzzy Mullahkhel, Diego Ize-Ludlow:
The impact of nuance DAX ambient listening AI documentation: a cohort study. 975-979 - Moshe Zisser, Dvir Aran:
Transformer-based time-to-event prediction for chronic kidney disease deterioration. 980-990 - Ari Z. Klein, Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez:
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. 991-996 - Brian Kwan, John F. Bell, Christopher A. Longhurst, Nicole H. Goldhaber, Brian J. Clay:
Implementation of an electronic health record-integrated instant messaging system in an academic health system. 997-1000 - Steven E. Labkoff, Yuri Quintana, Leon Rozenblit:
Identifying the capabilities for creating next-generation registries: a guide for data leaders and a case for "registry science". 1001-1008 - Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall:
Question answering systems for health professionals at the point of care - a systematic review. 1009-1024 - Dmitry Scherbakov, Abolfazl Mollalo, Leslie Lenert:
Stressful life events in electronic health records: a scoping review. 1025-1035 - Wei-Qi Wei, Robb Rowley, Angela M. Wood, Jacqueline Macarthur, Peter J. Embí, Spiros C. Denaxas:
Improving reporting standards for phenotyping algorithm in biomedical research: 5 fundamental dimensions. 1036-1041 - Clifford S. Mitchell, Tim Callahan, Eamon Flynn:
A messaging standard for environmental inspections: is it time? 1042-1046 - Correction to: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes. 1047
- Correction to: Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study. 1048
Volume 31, Number 5, 2024
- Suzanne Bakken:
Moving forward on the science of informatics and predictive analytics. 1049-1050 - Behzad Naderalvojoud, Catherine M. Curtin, Chen Yanover, Tal El-Hay, Byungjin Choi, Rae Woong Park, Javier Gracia-Tabuenca, Mary Pat Reeve, Thomas Falconer, Keith Humphreys, Steven M. Asch, Tina Hernandez-Boussard:
Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network. 1051-1061 - Betina Ross S. Idnay, Jianfang Liu, Yilu Fang, Alex Hernandez, Shivani Kaw, Alicia Etwaru, Janeth Juarez Padilla, Sergio Ozoria Ramirez, Karen Marder, Chunhua Weng, Rebecca Schnall:
Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias. 1062-1073 - François Grolleau, François Petit, Stéphane Gaudry, Élise Diard, Jean-Pierre Quenot, Didier Dreyfuss, Viet-Thi Tran, Raphaël Porcher:
Personalizing renal replacement therapy initiation in the intensive care unit: a reinforcement learning-based strategy with external validation on the AKIKI randomized controlled trials. 1074-1083 - Meng Zhang, Yipeng Wang, Robert Jakob, Shanna Su, Xue Bai, Xiaotong Jing, Xin Xue, Aimin Liao, Naishi Li, Yi Wang:
Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China. 1084-1092 - Markus Haug, Marek Oja, Maarja Pajusalu, Kerli Mooses, Sulev Reisberg, Jaak Vilo, Antonio Fernández Giménez, Thomas Falconer, Ana Danilovic, Filip Maljkovic, Dalia Dawoud, Raivo Kolde:
Markov modeling for cost-effectiveness using federated health data network. 1093-1101 - Dazheng Zhang, Jiayi Tong, Naimin Jing, Yuchen Yang, Chongliang Luo, Yiwen Lu, Dimitri A. Christakis, Diana Güthe, Mady Hornig, Kelly J. Kelleher, Keith E. Morse, Colin M. Rogerson, Jasmin Divers, Raymond J. Carroll, Christopher B. Forrest, Yong Chen:
Learning competing risks across multiple hospitals: one-shot distributed algorithms. 1102-1112 - Nasir Wabe, Isabelle Meulenbroeks, Guogui Huang, Sandun Malpriya Silva, Leonard C. Gray, Jacqueline C. T. Close, Stephen Lord, Johanna I. Westbrook:
Development and internal validation of a dynamic fall risk prediction and monitoring tool in aged care using routinely collected electronic health data: a landmarking approach. 1113-1125 - Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Michael Murray, Ashley Galloway, David Heise, Keith Connatser, Laura Davies, Jeffrey Gosian, Monika Maripuri, John Russo, Rahul Sangar, Vidisha Tanukonda, Edward Zielinski, Maureen Dubreuil, Andrew J. Zimolzak, Vidul Ayakulangara Panickan, Su-Chun Cheng, Stacey B. Whitbourne, David R. Gagnon, Tianxi Cai, Katherine P. Liao, Rachel B. Ramoni, J. Michael Gaziano, Sumitra Muralidhar, Kelly Cho:
Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users. 1126-1134 - Henian Chen, Jinyong Pang, Yayi Zhao, Spencer Giddens, Joseph Ficek, Matthew J. Valente, Biwei Cao, Ellen Daley:
A data-driven approach to choosing privacy parameters for clinical trial data sharing under differential privacy. 1135-1143 - James R. Jones, Daniel Gottlieb, Andrew J. McMurry, Ashish Atreja, Pankaja M. Desai, Brian E. Dixon, Philip R. O. Payne, Anil J. Saldanha, Prabhu R. V. Shankar, Yauheni Solad, Adam B. Wilcox, Momeena S. Ali, Eugene Kang, Andrew M. Martin, Elizabeth Sprouse, David E. Taylor, Michael Terry, Vladimir Ignatov, Kenneth D. Mandl:
Real world performance of the 21st Century Cures Act population-level application programming interface. 1144-1150 - Eleanore Rae Scheer, Nicole E. Werner, Ryan J. Coller, Carrie L. Nacht, Lauren E. Petty, Mengwei Tang, Mary Ehlenbach, Michelle M. Kelly, Sara Finesilver, Gemma Warner, Barbara Katz, Jessica Keim-Malpass, Christopher D. Lunsford, Lisa Letzkus, Shaalini S. Desai, Rupa S. Valdez:
Designing for caregiving networks: a case study of primary caregivers of children with medical complexity. 1151-1162 - Gongbo Zhang, Yiliang Zhou, Yan Hu, Hua Xu, Chunhua Weng, Yifan Peng:
A span-based model for extracting overlapping PICO entities from randomized controlled trial publications. 1163-1171 - Feng Chen, Liqin Wang, Julie Hong, Jiaqi Jiang, Li Zhou:
Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models. 1172-1183 - Darren Johnson, Guilherme Del Fiol, Kensaku Kawamoto, Katrina M. Romagnoli, Nathan Sanders, Grace Isaacson, Elden Jenkins, Marc S. Williams:
Genetically guided precision medicine clinical decision support tools: a systematic review. 1183-1194 - Sharon E. Davis, Peter J. Embí, Michael E. Matheny:
Sustainable deployment of clinical prediction tools - a 360° approach to model maintenance. 1195-1198 - Nadine Shehab, Liora Alschuler, Sean McIlvenna, Zabrina Gonzaga, Andrew Laing, David deRoode, Raymund B. Dantes, Kristina Betz, Shuai Zheng, Sheila Abner, Elizabeth Stutler, Rick Geimer, Andrea L. Benin:
The National Healthcare Safety Network's digital quality measures: CDC's automated measures for surveillance of patient safety. 1199-1205 - Howard R. Strasberg, Gretchen Purcell Jackson, Suzanne R. Bakken, Aziz A. Boxwala, Joshua E. Richardson, Jon D. Morrow:
Perspectives on the role of industry in informatics research and authorship. 1206-1210 - Kathrin M. Cresswell, Clair Sullivan, Jeremy Theal, Hajar Mozaffar, Robin Williams:
Concerted adoption as an emerging strategy for digital transformation of healthcare - lessons from Australia, Canada, and England. 1211-1215
Volume 31, Number 6, 2024
- Suzanne Bakken:
What can you do with a large language model? 1217-1218 - Jean Noël Nikiema, Djeneba Thiam, Azadeh Bayani, Alexandre Ayotte, Nadia Sourial, Michèle Bally:
Assessing the impact of transitioning to 11th revision of the International Classification of Diseases (ICD-11) on comorbidity indices. 1219-1226 - Hamed Javidi, Arshiya Mariam, Lina Alkhaled, Kevin M. Pantalone, Daniel M. Rotroff:
An interpretable predictive deep learning platform for pediatric metabolic diseases. 1227-1238 - Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo:
Generalizing Parkinson's disease detection using keystroke dynamics: a self-supervised approach. 1239-1246 - Katrina M. Romagnoli, Zachary M. Salvati, Darren Johnson, Heather M. Ramey, Alexander R. Chang, Marc S. Williams:
Genomics in nephrology: identifying informatics opportunities to improve diagnosis of genetic kidney disorders using a human-centered design approach. 1247-1257 - Yifan Liu, Rochelle Joly, Meghan Reading Turchioe, Natalie C. Benda, Alison Hermann, Ashley Beecy, Jyotishman Pathak, Yiye Zhang:
Preparing for the bedside - optimizing a postpartum depression risk prediction model for clinical implementation in a health system. 1258-1267 - Xin Dong, Chenxi Zhao, Xinpeng Song, Lei Zhang, Yu Liu, Jun Wu, Yiran Xu, Ning Xu, Jialing Liu, Haibin Yu, Kuo Yang, Xuezhong Zhou:
PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning. 1268-1279 - Thomas Petit-Jean, Christel Gérardin, Emmanuelle Berthelot, Gilles Chatellier, Marie Frank, Xavier Tannier, Emmanuelle Kempf, Romain Bey:
Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions. 1280-1290 - Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy A. Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar:
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. 1291-1302 - Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen:
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. 1303-1312 - Gondy Leroy, Jennifer G. Andrews, Madison Kealohi-Preece, Ajay Jaswani, Hyunju Song, Maureen K. Galindo, Sydney A Rice:
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes. 1313-1321 - Fereshteh S. Bashiri, Kyle A. Carey, Jennie Martin, Jay L. Koyner, Dana P. Edelson, Emily R. Gilbert, Anoop M. Mayampurath, Majid Afshar, Matthew M. Churpek:
Development and external validation of deep learning clinical prediction models using variable-length time series data. 1322-1330 - Velma L. Payne, Usman Sattar, Melanie C. Wright, Elijah Hill, Jorie M. Butler, Brekk C. Macpherson, Amanda Jeppesen, Guilherme Del Fiol, Karl Madaras-Kelly:
Clinician perspectives on how situational context and augmented intelligence design features impact perceived usefulness of sepsis prediction scores embedded within a simulated electronic health record. 1331-1340 - Usman Iqbal, Leon Tsung-Ju Lee, Annisa Ristya Rahmanti, Leo Anthony Celi, Yu-Chuan (Jack) Li:
Can large language models provide secondary reliable opinion on treatment options for dermatological diseases? 1341-1347 - Kevin Xie, William K. S. Ojemann, Ryan S. Gallagher, Russell T. Shinohara, Alfredo Lucas, Chloe E. Hill, Roy H. Hamilton, Kevin B. Johnson, Dan Roth, Brian Litt, Colin A. Ellis:
Disparities in seizure outcomes revealed by large language models. 1348-1355 - Mullai Murugan, Bo Yuan, Eric Venner, Christie M. Ballantyne, Katherine M. Robinson, James C. Coons, Liwen Wang, Philip E. Empey, Richard A. Gibbs:
Empowering personalized pharmacogenomics with generative AI solutions. 1356-1366 - Siru Liu, Allison B. McCoy, Aileen P. Wright, Babatunde Carew, Julian Z. Genkins, Sean S. Huang, Josh F. Peterson, Bryan D. Steitz, Adam Wright:
Leveraging large language models for generating responses to patient messages - a subjective analysis. 1367-1379 - Timotej Knez, Slavko Zitnik:
Multimodal learning for temporal relation extraction in clinical texts. 1380-1387 - Siru Liu, Allison B. McCoy, Aileen P. Wright, Scott D. Nelson, Sean S. Huang, Hasan B. Ahmad, Sabrina E. Carro, Jacob Franklin, James Brogan, Adam Wright:
Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support. 1388-1396 - Hyeoneui Kim, Hyewon Park, Sunghoon Kang, Jinsol Kim, Jeongha Kim, Jinsun Jung, Ricky K. Taira:
Evaluating the validity of the nursing statements algorithmically generated based on the International Classifications of Nursing Practice for respiratory nursing care using large language models. 1397-1403 - Onkar Litake, Brian H. Park, Jeffrey L. Tully, Rodney A. Gabriel:
Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes. 1404-1410 - Jetske Graafsma, Rachel M. Murphy, Ewoudt M. W. van de Garde, Fatma Karapinar-Çarkit, Hieronymus J. Derijks, Rien H. L. Hoge, Joanna E. Klopotowska, Patricia M. L. A van den Bemt:
The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review. 1411-1422 - Roger Lacson, Yufei Yu, Tsung-Ting Kuo, Lucila Ohno-Machado:
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review. 1423-1435 - Satvik Tripathi, Rithvik Sukumaran, Tessa S. Cook:
Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care. 1436-1440 - Jenelle A. Jindal, Matthew P. Lungren, Nigam H. Shah:
Ensuring useful adoption of generative artificial intelligence in healthcare. 1441-1444 - Correction to: Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices. 1445
- Correction to: Evaluating the ChatGPT family of models for biomedical reasoning and classification. 1446
- Correction to: From illness management to quality of life: rethinking consumer health informatics opportunities for progressive, potentially fatal illnesses. 1447
Volume 31, Number 7, 2024
- Suzanne Bakken:
Addressing methodological and logistical challenges of using electronic health record (EHR) data for research. 1449-1450 - Thomas Beaney, Sneha Jha, Asem Alaa, Alexander Smith, Jonathan Clarke, Thomas Woodcock, Azeem Majeed, Paul Aylin, Mauricio Barahona:
Comparing natural language processing representations of coded disease sequences for prediction in electronic health records. 1451-1462 - Ziqing Ji, Siyan Guo, Yujie Qiao, Robert A. McDougal:
Automating literature screening and curation with applications to computational neuroscience. 1463-1470 - Erika Rasnick Manning, Qing Duan, Stuart Taylor, Sarah Ray, Alexandra M. S. Corley, Joseph Michael, Ryan Gillette, Ndidi Unaka, David Hartley, Andrew F. Beck, Cole Brokamp, Chidiogo Anyigbo, Lori Crosby, Magdely Diaz de Leon, John Egbo, Ben Foley, Adrienne Henize, Margaret Jones, Nana-Hawa Yayah Jones, Robert Kahn, Landon Krantz, Lauren Lipps, Alexandra Power-Hayes, Charles Quinn, Elizabeth Quinonez, Carley Riley, Laura Sandoval, Lisa Shook, Jeffrey Steller:
Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes. 1471-1478 - Maxwell Salvatore, Ritoban Kundu, Xu Shi, Christopher R. Friese, Seunggeun Lee, Lars G. Fritsche, Alison M. Mondul, David A. Hanauer, Celeste Leigh Pearce, Bhramar Mukherjee:
To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice. 1479-1492 - Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn:
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. 1493-1502 - Jorie M. Butler, Teresa Taft, Peter Taber, Elizabeth Rutter, Megan Fix, Alden Baker, Charlene R. Weir, McKenna Nevers, David C. Classen, Karen Cosby, Makoto Jones, Alec B. Chapman, Barbara E. Jones:
Pneumonia diagnosis performance in the emergency department: a mixed-methods study about clinicians' experiences and exploration of individual differences and response to diagnostic performance feedback. 1503-1513 - Egill A. Fridgeirsson, Ross D. Williams, Peter R. Rijnbeek, Marc A. Suchard, Jenna Marie Reps:
Comparing penalization methods for linear models on large observational health data. 1514-1521 - Thomas R. Campion Jr., Catherine K. Craven, David A. Dorr, Elmer V. Bernstam, Boyd M. Knosp:
Understanding enterprise data warehouses to support clinical and translational research: impact, sustainability, demand management, and accessibility. 1522-1528 - Helge Brandberg, Carl Johan Sundberg, Jonas Spaak, Sabine Koch, Thomas Kahan:
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. 1529-1539 - Minwook Kim, Donggil Kang, Min Sun Kim, Jeong Cheon Choe, Sun-Hack Lee, Jin-Hee Ahn, Jun-Hyok Oh, Jung Hyun Choi, Han Cheol Lee, Kwang Soo Cha, Kyungtae Jang, Woor I Bong, Giltae Song, Hyewon Lee:
Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system. 1540-1550 - Shiyao Xie, Wenjing Zhao, Guanghui Deng, Guohua He, Na He, Zhenhua Lu, Weihua Hu, Mingming Zhao, Jian Du:
Utilizing ChatGPT as a scientific reasoning engine to differentiate conflicting evidence and summarize challenges in controversial clinical questions. 1551-1560 - Yukinobu Kawakami, Takuya Matsuda, Noriaki Hidaka, Mamoru Tanaka, Eizen Kimura:
Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts. 1561-1568 - Yining Hua, Jiageng Wu, Shixu Lin, Minghui Li, Yujie Zhang, Dinah Foer, Siwen Wang, Peilin Zhou, Jie Yang, Li Zhou:
Streamlining social media information retrieval for public health research with deep learning. 1569-1577 - Sharon Jiang, Barbara D. Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag:
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. 1578-1582 - Jorge Alberto Rodriguez, Michelle Zelen, Jessica Szulak, Katie Moore, Lee Park:
A system-wide approach to digital equity: the Digital Access Coordinator program in primary care. 1583-1587 - Danielle Kato, Joe Lucas, Dean F. Sittig:
Implementation of a health information technology safety classification system in the Veterans Health Administration's Informatics Patient Safety Office. 1588-1595 - Yishu Wei, Yu Deng, Cong Sun, Mingquan Lin, Hongmei Jiang, Yifan Peng:
Deep learning with noisy labels in medical prediction problems: a scoping review. 1596-1607 - Cornelius Born, Romy Schwarz, Timo Phillip Böttcher, Andreas Hein, Helmut Krcmar:
The role of information systems in emergency department decision-making - a literature review. 1608-1621 - Mark P. Sendak, Vincent X. Liu, Ashley Beecy, David E. Vidal, Keo Shaw, Mark Lifson, Danny Tobey, Alexandra Valladares, Brenna Loufek, Murtaza Mogri, Suresh Balu:
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety. 1622-1627
Volume 31, Number 8, 2024
- Suzanne Bakken:
Standards and frameworks. 1629-1630 - Kin Wah Fung, Julia Xu, Hazel Brear, Alana Lane, Maggie Lau, Austen Wong, Arabella D'Havé:
Promoting interoperability between SNOMED CT and ICD-11: lessons learned from the pilot project mapping between SNOMED CT and the ICD-11 Foundation. 1631-1637 - Andrew J. McMurry, Daniel Gottlieb, Timothy A. Miller, James R. Jones, Ashish Atreja, Jennifer Crago, Pankaja M. Desai, Brian E. Dixon, Matthew Garber, Vladimir Ignatov, Lyndsey A Kirchner, Philip R. O. Payne, Anil J. Saldanha, Prabhu R. V. Shankar, Yauheni Solad, Elizabeth Sprouse, Michael Terry, Adam B. Wilcox, Kenneth D. Mandl:
Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence. 1638-1647 - Li Zhang, Ningyuan Song, Sisi Gui, Keye Wu, Wei Lu:
Bridging the gap in author names: building an enhanced author name dataset for biomedical literature system. 1648-1656 - Nate C. Apathy, Joshua Biro, A Jay Holmgren:
Consistency is key: documentation distribution and efficiency in primary care. 1657-1664 - Siru Liu, Aileen P. Wright, Allison B. McCoy, Sean S. Huang, Julian Z. Genkins, Josh F. Peterson, Yaa A. Kumah-Crystal, William Martinez, Babatunde Carew, Dara Mize, Bryan D. Steitz, Adam Wright:
Using large language model to guide patients to create efficient and comprehensive clinical care message. 1665-1670 - Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong:
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. 1671-1681 - Dean F. Sittig, Aziz A. Boxwala, Adam Wright, Courtney Zott, Nicole A Gauthreaux, James Swiger, Edwin A. Lomotan, Prashila Dullabh:
Patient-centered clinical decision support challenges and opportunities identified from workflow execution models. 1682-1692 - Jason Patterson, Nicholas P. Tatonetti:
KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy. 1693-1703 - Xander Jacquemyn, Jef Van den Eynde, Bhargava K. Chinni, David M. Danford, Shelby Kutty, Cedric Manlhiot:
Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach. 1704-1713 - Yang Ren, Yuqi Wu, Jungwei W. Fan, Aditya Khurana, Sunyang Fu, Dezhi Wu, Hongfang Liu, Ming Huang:
Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models. 1714-1724 - Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Peter R. Rijnbeek:
Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools. 1725-1734 - Ali S. Tejani, Brian Bialecki, Kevin O'Donnell, Teri Sippel Schmidt, Marc D. Kohli, Tarik Alkasab:
Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures. 1735-1742 - Xiao Luo, Fattah Muhammad Tahabi, Tressica Marc, Laura Ann Haunert, Susan Storey:
Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using large language models. 1743-1753 - Nathaniel Hendrix, Natalya Maisel, Jordan Everson, Vaishali Patel, Andrew W. Bazemore, Lisa S. Rotenstein, A Jay Holmgren, Alex H. Krist, Julia Adler-Milstein, Robert L. Phillips:
Impact of response bias in three surveys on primary care providers' experiences with electronic health records. 1754-1762 - Yajun Lu, Thanh Duong, Zhuqi Miao, Thanh Thieu, Jivan Lamichhane, Abdulaziz Ahmed, Dursun Delen:
A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring. 1763-1773 - Thomas J. S. Durant, Elizabeth Knight, Brent G. Nelson, Sarah Dudgeon, Seung J. Lee, Dominic Walliman, Hobart P. Young, Lucila Ohno-Machado, Wade L. Schulz:
A primer for quantum computing and its applications to healthcare and biomedical research. 1774-1784 - David S. Carrell, James S. Floyd, Susan Gruber, Brian L. Hazlehurst, Patrick J. Heagerty, Jennifer C. Nelson, Brian D. Williamson, Robert Ball:
A general framework for developing computable clinical phenotype algorithms. 1785-1796 - Aaron Lawson McLean:
Constructing knowledge: the role of AI in medical learning. 1797-1798 - Correction to: De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository. 1799
Volume 31, Number 9, 2024
- Zhiyong Lu, Yifan Peng, Trevor Cohen, Marzyeh Ghassemi, Chunhua Weng, Shubo Tian:
Large language models in biomedicine and health: current research landscape and future directions. 1801-1811 - Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu:
Improving large language models for clinical named entity recognition via prompt engineering. 1812-1820 - Hieu Tran, Zhichao Yang, Zonghai Yao, Hong Yu:
BioInstruct: instruction tuning of large language models for biomedical natural language processing. 1821-1832 - Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, Ya Zhang, Weidi Xie, Yanfeng Wang:
PMC-LLaMA: toward building open-source language models for medicine. 1833-1843 - François Remy, Kris Demuynck, Thomas Demeester:
BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights. 1844-1855 - Angeela Acharya, Sulabh Shrestha, Anyi Chen, Joseph Conte, Sanja Avramovic, Siddhartha Sikdar, Antonios Anastasopoulos, Sanmay Das:
Clinical risk prediction using language models: benefits and considerations. 1856-1864 - Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen, Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, Dinghao Pan, Jiru Li, Hao Li, Wenduo Feng, Senbo Tu, Yuqi Liu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Hongfei Lin:
Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks. 1865-1874 - Maxime Griot, Coralie Hemptinne, Jean Vanderdonckt, Demet Yüksel:
Impact of high-quality, mixed-domain data on the performance of medical language models. 1875-1883 - Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Parastoo Falakaflaki, Elena Kayayan, Guanyu Tao, Mahta Haghighat Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo:
The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant. 1884-1891 - Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu:
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. 1892-1903 - Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S. Diala, Kirk E. Roberts, Cui Tao, Xiaoqian Jiang, W. Jim Zheng, Hua Xu:
Ensemble pretrained language models to extract biomedical knowledge from literature. 1904-1911 - Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu:
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs. 1912-1920 - Benjamin S. Glicksberg, Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut, Alexander W. Charney, Donald Apakama, Brendan G. Carr, Robert Freeman, Girish N. Nadkarni, Eyal Klang:
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. 1921-1928 - Mingchen Li, Huixue Zhou, Han Yang, Rui Zhang:
RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition. 1929-1938 - Opeoluwa Akinseloyin, Xiaorui Jiang, Vasile Palade:
A question-answering framework for automated abstract screening using large language models. 1939-1952 - Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh:
Distilling large language models for matching patients to clinical trials. 1953-1963 - Mary M. Lucas, Justin Yang, Jon K. Pomeroy, Christopher C. Yang:
Reasoning with large language models for medical question answering. 1964-1975 - Jodyn Platt, Paige Nong, Renée Smiddy, Reema Hamasha, Gloria Carmona Clavijo, Joshua E. Richardson, Sharon L. R. Kardia:
Public comfort with the use of ChatGPT and expectations for healthcare. 1976-1982 - Kar-mun C. Woo, Gregory W. Simon, Olumide Akindutire, Yindalon Aphinyanaphongs, Jonathan S. Austrian, Jung G. Kim, Nicholas Genes, Jacob A Goldenring, Vincent J. Major, Chloé S. Pariente, Edwin G. Pineda, Stella K. Kang:
Evaluation of GPT-4 ability to identify and generate patient instructions for actionable incidental radiology findings. 1983-1993 - Chao Yan, Henry H. Ong, Monika E. Grabowska, Matthew S. Krantz, Wu-Chen Su, Alyson L. Dickson, Josh F. Peterson, QiPing Feng, Dan M. Roden, C. Michael Stein, Vern Eric Kerchberger, Bradley A. Malin, Wei-Qi Wei:
Large language models facilitate the generation of electronic health record phenotyping algorithms. 1994-2001 - Katerina Andreadis, Devon R. Newman, Chelsea Twan, Amelia Shunk, Devin M. Mann, Elizabeth R. Stevens:
Mixed methods assessment of the influence of demographics on medical advice of ChatGPT. 2002-2009 - Huixue Zhou, Mingchen Li, Yongkang Xiao, Han Yang, Rui Zhang:
LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction. 2010-2018 - Rui Hua, Xin Dong, Yu Wei, Zixin Shu, Pengcheng Yang, Yunhui Hu, Shuiping Zhou, He Sun, Kaijing Yan, Xijun Yan, Kai Chang, Xiaodong Li, Yuning Bai, Runshun Zhang, Wenjia Wang, Xuezhong Zhou:
Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models. 2019-2029 - Yiming Li, Jeff Zhao, Manqi Li, Yifang Dang, Evan Yu, Jianfu Li, Zenan Sun, Usama Hussein, Jianguo Wen, Ahmed M. Abdelhameed, Junhua Mai, Shenduo Li, Yue Yu, Xinyue Hu, Daowei Yang, Jingna Feng, Zehan Li, Jianping He, Wei Tao, Tiehang Duan, Yanyan Lou, Fang Li, Cui Tao:
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization. 2030-2039 - Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Disambiguation of acronyms in clinical narratives with large language models. 2040-2046 - Michelle Bak, Jessie Chin:
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change. 2047-2053 - Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang:
Large language models leverage external knowledge to extend clinical insight beyond language boundaries. 2054-2064 - Yilu Fang, Patrick Ryan, Chunhua Weng:
Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels. 2065-2075 - Andy Wang, Cong Liu, Jingye Yang, Chunhua Weng:
Fine-tuning large language models for rare disease concept normalization. 2076-2083 - Anjun Chen, Drake O. Chen, Lu Tian:
Benchmarking the symptom-checking capabilities of ChatGPT for a broad range of diseases. 2084-2088 - Fabiana C. Dos Santos, Lisa G. Johnson, Olatunde O. Madandola, Karen Priola, Yingwei Yao, Tamara Goncalves Rezende Macieira, Gail M. Keenan:
An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer. 2089-2096 - Akhil Vaid, Son Q. Duong, Joshua Lampert, Patricia H. Kovatch, Robert Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N. Nadkarni:
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. 2097-2102 - Milton Pividori, Casey S. Greene:
A publishing infrastructure for Artificial Intelligence (AI)-assisted academic authoring. 2103-2113 - Satya S. Sahoo, Joseph M. Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane M. Meystre, Yanshan Wang:
Large language models for biomedicine: foundations, opportunities, challenges, and best practices. 2114-2124 - Javad Pool, Marta Indulska, Shazia Wasim Sadiq:
Large language models and generative AI in telehealth: a responsible use lens. 2125-2136 - Guillem García Subies, Álvaro Barbero Jiménez, Paloma Martínez Fernández:
A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks. 2137-2146 - Jorge Alberto Rodriguez, Emily Alsentzer, David W. Bates:
Leveraging large language models to foster equity in healthcare. 2147-2150 - Dimitris Spathis, Fahim Kawsar:
The first step is the hardest: pitfalls of representing and tokenizing temporal data for large language models. 2151-2158 - William R. Hersh:
Search still matters: information retrieval in the era of generative AI. 2159-2161
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