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Evaluating the Applications of Health Information Technologies in China During the Past 11 Years: Consecutive Survey Data Analysis

Jun Liang, Ying Li, Zhongan Zhang, Dongxia Shen, Jie Xu, Gang Yu, Siqi Dai, Fangmin Ge, Jianbo Lei

JMIR Med Inform 2020;8(2):e17006

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Correction: Technology-Based Interventions in Oral Anticoagulation Management: Meta-Analysis of Randomized Controlled Trials

The authors wish to change the order of the first and second authors so that Hengfen Dai is first author and Caiyun Zheng is second author.The previous order of authorship was as follows:Caiyun Zheng, Hengfen Dai, Chun Lin, Yan Zhang, Hong Zhang, Fan Chen,

Hengfen Dai, Caiyun Zheng, Chun Lin, Yan Zhang, Hong Zhang, Fan Chen, Yunchun Liu, Jingwen Xiao, Chaoxin Chen

J Med Internet Res 2020;22(8):e22761

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Application of Low-Cost Methodologies for Mobile Phone App Development

Zhang MWB et al [7] recently shared two methodologies of app development using a blogging site as well as an online app builder.

Melvyn Zhang, Enquan Cheow, Cyrus SH Ho, Beng Yeong Ng, Roger Ho, Christopher Cheng Soon Cheok

JMIR Mhealth Uhealth 2014;2(4):e55

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Performance of Computer-Aided Diagnosis in Ultrasonography for Detection of Breast Lesions Less and More Than 2 cm: Prospective Comparative Study

Liang Yongping, Ping Zhou, Zhang Juan, Zhao Yongfeng, Wengang Liu, Yifan Shi

JMIR Med Inform 2020;8(3):e16334

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Evaluation of the Quadri-Planes Method in Computer-Aided Diagnosis of Breast Lesions by Ultrasonography: Prospective Single-Center Study

Liang Yongping, Zhang Juan, Ping Zhou, Zhao Yongfeng, Wengang Liu, Yifan Shi

JMIR Med Inform 2020;8(5):e18251

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Using a Web-Based App to Improve Hand Hygiene Compliance Rates

App to Improve Hand Hygiene Compliance RatesHaleTimothyRomeBenjaminMD1ZhangHaipengDO1Brigham and Women's HospitalBoston, MA,United Stateshzhang37@mgh.harvard.eduLandmanAdamMD11Brigham and Women's HospitalBoston, MAUnited StatesCorresponding Author: Haipeng Zhang

Benjamin Rome, Haipeng Zhang, Adam Landman

iproc 2018;4(2):e11812

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Hazards of the Cytokine Storm and Cytokine-Targeted Therapy in Patients With COVID-19: Review

Zhang et al [4] explored risk factors among patients with COVID-19 who are at higher risk of adverse events such as admission to an intensive care unit (ICU), mechanical ventilation dependence, or death among three hospitals in Wuhan, China from January 13,

Miguel Quirch, Jeannie Lee, Shabnam Rehman

J Med Internet Res 2020;22(8):e20193

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Developing Embedded Taxonomy and Mining Patients’ Interests From Web-Based Physician Reviews: Mixed-Methods Approach

Therefore, recent studies on physician reviews focused more on the rich information embedded in the review text; for example, Hao and Zhang [9] automatically extracted hidden topics from Web-based physician reviews using text mining techniques to examine what

Jia Li, Minghui Liu, Xiaojun Li, Xuan Liu, Jingfang Liu

J Med Internet Res 2018;20(8):e254

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Determining Survey Satisficing of Online Longitudinal Survey Data in the Multicenter AIDS Cohort Study: A Group-Based Trajectory Analysis

Zhang and Conrad [25] suggested speeding was positively related to straightlining. Malhotra [26] found that speeding made respondents more likely to choose the options presented earlier regardless of the content.

Junrui Di, Ying Li, M Reuel Friedman, Susheel Reddy, Pamela J Surkan, Steven Shoptaw, Michael Plankey

JMIR Public Health Surveill 2016;2(2):e150

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Determining Factors Affecting Nurses’ Acceptance of a Care Plan System Using a Modified Technology Acceptance Model 3: Structural Equation Model With Cross-Sectional Data

Zhang et al [15] conducted a study on the determinants of PU in the context of mobile homecare nursing to better understand the acceptance of a technology.After reviewing the literature on user acceptance of a nursing information system, we noted that most

Kuei-Fang Ho, Pi-Chen Chang, Maria Dyah Kurniasari, Sri Susanty, Min-Huey Chung

JMIR Med Inform 2020;8(5):e15686

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