Theme Issue: Medical Informatics and COVID-19

Optimal Triage for COVID-19 Patients Under Limited Health Care Resources With a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation: Development Study

Jeongmin Kim, Hakyung Lim, Jae-Hyeon Ahn, Kyoung Hwa Lee, Kwang Suk Lee, Kyo Chul Koo

JMIR Med Inform 2021 (Nov 02); 9(11):e32726

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Harnessing the Electronic Health Record and Computerized Provider Order Entry Data for Resource Management During the COVID-19 Pandemic: Development of a Decision Tree

Hung S Luu, Laura M Filkins, Jason Y Park, Dinesh Rakheja, Jefferson Tweed, Christopher Menzies, Vincent J Wang, Vineeta Mittal, Christoph U Lehmann, Michael E Sebert

JMIR Med Inform 2021 (Oct 18); 9(10):e32303

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COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

Saranya Sankaranarayanan, Jagadheshwar Balan, Jesse R Walsh, Yanhong Wu, Sara Minnich, Amy Piazza, Collin Osborne, Gavin R Oliver, Jessica Lesko, Kathy L Bates, Kia Khezeli, Darci R Block, Margaret DiGuardo, Justin Kreuter, John C O’Horo, John Kalantari, Eric W Klee, Mohamed E Salama, Benjamin Kipp, William G Morice, Garrett Jenkinson

J Med Internet Res 2021 (Sep 28); 23(9):e30157

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Factors to Effective Telemedicine Visits During the COVID-19 Pandemic: Cohort Study

Kristin Nicole Gmunder, Jose W Ruiz, Dido Franceschi, Maritza M Suarez

JMIR Med Inform 2021 (Aug 27); 9(8):e27977

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Digital Orientation of Health Systems in the Post–COVID-19 “New Normal” in the United States: Cross-sectional Survey

Jiban Khuntia, Xue Ning, Rulon Stacey

J Med Internet Res 2021 (Aug 16); 23(8):e30453

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US Physicians’ Perspective on the Sudden Shift to Telehealth: Survey Study

Bhavneet Walia, Anshu Shridhar, Pratap Arasu, Gursimar Kaur Singh

JMIR Hum Factors 2021 (Aug 12); 8(3):e26336

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Development, Acceptance, and Concerns Surrounding App-Based Services to Overcome the COVID-19 Outbreak in South Korea: Web-Based Survey Study

Jihwan Park, Jinhyun Han, Yerin Kim, Mi Jung Rho

JMIR Med Inform 2021 (Jul 30); 9(7):e29315

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Social Media Opinions on Working From Home in the United States During the COVID-19 Pandemic: Observational Study

Ziyu Xiong, Pin Li, Hanjia Lyu, Jiebo Luo

JMIR Med Inform 2021 (Jul 30); 9(7):e29195

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Experiences With Internet Triaging of 9498 Outpatients Daily at the Largest Public Hospital in Taiwan During the COVID-19 Pandemic: Observational Study

Ding-Heng Lu, Chia-An Hsu, Eunice J Yuan, Jun-Jeng Fen, Chung-Yuan Lee, Jin-Lain Ming, Tzeng-Ji Chen, Wui-Chiang Lee, Shih-Ann Chen

JMIR Med Inform 2021 (Jul 27); 9(7):e20994

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COVID-19 and Open Notes: A New Method to Enhance Patient Safety and Trust

Charlotte Blease, Liz Salmi, Maria Hägglund, Deborah Wachenheim, Catherine DesRoches

JMIR Ment Health 2021 (Jun 21); 8(6):e29314

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Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study

Catherine C Pollack, Diane Gilbert-Diamond, Jennifer A Alford-Teaster, Tracy Onega

J Med Internet Res 2021 (Jun 21); 23(6):e28648

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The Interplay Between Policy and COVID-19 Outbreaks in South Asia: Longitudinal Trend Analysis of Surveillance Data

Sarah B Welch, Dinushi Amanda Kulasekere, P V Vara Prasad, Charles B Moss, Robert Leo Murphy, Chad J Achenbach, Michael G Ison, Danielle Resnick, Lauren Singh, Janine White, Tariq Z Issa, Kasen Culler, Michael J Boctor, Maryann Mason, James Francis Oehmke, Joshua Marco Mitchell Faber, Lori Ann Post

JMIR Public Health Surveill 2021 (Jun 17); 7(6):e24251

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Physicians’ Attitudes Toward Telemedicine Consultations During the COVID-19 Pandemic: Cross-sectional Study

Noora Alhajri, Mecit Can Emre Simsekler, Buthaina Alfalasi, Mohamed Alhashmi, Majd AlGhatrif, Nahed Balalaa, Maryam Al Ali, Raghda Almaashari, Shammah Al Memari, Farida Al Hosani, Yousif Al Zaabi, Shereena Almazroui, Hamed Alhashemi, Ovidiu C Baltatu

JMIR Med Inform 2021 (Jun 01); 9(6):e29251

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Physicians’ Perspectives of Telemedicine During the COVID-19 Pandemic in China: Qualitative Survey Study

Jialin Liu, Siru Liu, Tao Zheng, Yongdong Bi

JMIR Med Inform 2021 (Jun 01); 9(6):e26463

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Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

Jose Luis Izquierdo, Joan B Soriano

J Med Internet Res 2021 (May 26); 23(5):e29405

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Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

Francisco Martos Pérez, Ricardo Gomez Huelgas, María Dolores Martín Escalante, José Manuel Casas Rojo

J Med Internet Res 2021 (May 26); 23(5):e27142

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Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool

Ana Belen Espinosa-Gonzalez, Ana Luisa Neves, Francesca Fiorentino, Denys Prociuk, Laiba Husain, Sonny Christian Ramtale, Emma Mi, Ella Mi, Jack Macartney, Sneha N Anand, Julian Sherlock, Kavitha Saravanakumar, Erik Mayer, Simon de Lusignan, Trisha Greenhalgh, Brendan C Delaney

JMIR Res Protoc 2021 (May 25); 10(5):e29072

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Returning to a Normal Life via COVID-19 Vaccines in the United States: A Large-scale Agent-Based Simulation Study

Junjiang Li, Philippe Giabbanelli

JMIR Med Inform 2021 (Apr 29); 9(4):e27419

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Application of Artificial Intelligence for Screening COVID-19 Patients Using Digital Images: Meta-analysis

Tahmina Nasrin Poly, Md Mohaimenul Islam, Yu-Chuan Jack Li, Belal Alsinglawi, Min-Huei Hsu, Wen Shan Jian, Hsuan-Chia Yang

JMIR Med Inform 2021 (Apr 29); 9(4):e21394

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Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort Study

André Patrício, Rafael S Costa, Rui Henriques

J Med Internet Res 2021 (Apr 28); 23(4):e26075

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