Review
Public, Environmental & Occupational Health
Ingridy M. P. Barbalho, Felipe Fernandes, Daniele M. S. Barros, Jailton C. Paiva, Jorge Henriques, Antonio H. F. Morais, Karilany D. Coutinho, Giliate C. Coelho Neto, Arthur Chioro, Ricardo A. M. Valentim
Summary: This paper presents an audit of the main approaches used for Electronic Health Records (EHR) development in Brazil, discussing prospects, challenges, and existing gaps. The analysis highlights the importance of interoperability, data security, and defined development methodologies.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Health Care Sciences & Services
Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
Summary: This study develops a large clinical language model and evaluates it on five clinical NLP tasks. By scaling up the number of parameters and increasing the size of the training data, the model improves accuracy and shows potential for enhancing medical AI systems.
NPJ DIGITAL MEDICINE
(2022)
Review
Health Care Sciences & Services
Hao Sen Andrew Fang, Teng Hwee Tan, Yan Fang Cheryl Tan, Chun Jin Marcus Tan
Summary: Blockchain technology in the healthcare sector has matured over the past 5 years, with a growing trend towards publications describing prototypes and implementations. Most articles on blockchain PHRs are found in engineering or computer science publications, with common design choices being permissioned blockchains and off-chain storage. Although interest in blockchain PHRs is increasing, the technology is largely in the conceptual stage.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Review
Health Care Sciences & Services
Timothy Charles Kariotis, Megan Prictor, Shanton Chang, Kathleen Gray
Summary: This paper conducted a scoping review to explore the impact of electronic health records (EHRs) on information practices in mental health contexts, as well as how sensitive information, data standardization, and therapeutic relationships are managed when using EHRs. The review included 40 articles and found that EHRs improved the documentation of information compared to paper, but mental health-related information was often missing, especially sensitive information. EHRs introduced standardized documentation practices that raised issues in the mental health context. EHRs also disrupted information workflows and had usability issues. The management of sensitive information in EHRs was problematic. The study highlighted the need for EHRs to better reflect the complexity and sensitivity of information practices and workflows in mental health contexts.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Geriatrics & Gerontology
Claire M. Campbell, Daniel R. Murphy, George E. Taffet, Anita B. Major, Christine S. Ritchie, Bruce Leff, Aanand D. Naik
Summary: The paper discusses a conceptual model for EHR implementation of quality measures, successfully implemented a depression screening quality measure in a home-based medical care setting. Additional components of early leadership, clinician buy-in, strong IT relationships, and simplified implementation processes were necessary for success.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2021)
Article
Computer Science, Information Systems
Morten Hertzum, Gunnar Ellingsen, Asa Cajander
Summary: This study analyzes the implementation of the Epic electronic health record (EHR) system in Denmark and Finland. The results show that there are still issues with the Epic implementations, including low usability and unstable system integrations. Although the technical performance has improved for physicians and nurses, they experience decreased usability and work support compared to their previous EHR system.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Chunxia Jia, Chunyan Jia, Lingzhen Kong, Wenmin Lin, Lianyong Qi
Summary: With the rapid development of information technology, the application of information systems in the healthcare field has become significant for the clinical management of hospitals and patient information sharing. Electronic medical records have emerged as an important part of hospital information construction. However, the generation of a large number of electronic medical records has led to the problem of information overload and the need for privacy preservation. In this paper, a privacy-aware retrieval approach using fuzzy keyword search and Simhash technology is proposed to address these issues.
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
(2022)
Article
Business
Zheming Zuo, Jie Li, Han Xu, Noura Al Moubayed
Summary: Disruptive technologies play a crucial role in pervasive healthcare, with machine learning widely utilized in patient-centric solutions. The feature selection method CFS has shown outstanding performance in analyzing EHR data.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Medicine, General & Internal
Michiel J. M. Niesen, Colin Pawlowski, John C. O'Horo, Doug W. Challener, Eli Silvert, Greg Donadio, Patrick J. Lenehan, Abinash Virk, Melanie D. Swift, Leigh L. Speicher, Joel E. Gordon, Holly L. Geyer, John D. Halamka, A. J. Venkatakrishnan, Venky Soundararajan, Andrew D. Badley
Summary: This study evaluated the safety of the third dose of FDA-approved COVID-19 mRNA vaccines. The findings suggest that although the third dose is associated with an increased reporting of low-severity adverse events, the risk of severe adverse events remains comparable to the standard two-dose regime. This study provides evidence for the safety of third vaccination doses in eligible individuals for booster vaccination.
Article
Pharmacology & Pharmacy
Pierpaolo Pellicori, Alex McConnachie, Christopher Carlin, Ann Wales, John G. F. Cleland
Summary: Using electronic health records, a pragmatic and parsimonious multivariable model was developed to predict 90-day mortality in patients hospitalized with chronic obstructive pulmonary disease (COPD). The model, based on a small number of variables including age, sex, length of hospital stay, prior diagnosis, prescription, and laboratory data, showed excellent calibration and reasonable discrimination. The risk-calculator can be useful for service-evaluation, clinical management, risk-stratification, and patient selection for clinical research.
PHARMACOLOGICAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Trung Kien Dang, Xiang Lan, Jianshu Weng, Mengling Feng
Summary: Multi-center studies are preferred in data-driven medical research, but challenges in data sharing persist. Federated Learning offers a solution to data isolation.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2022)
Review
Health Care Sciences & Services
Martijn R. Brands, Samantha C. Gouw, Molly Beestrum, Robert M. Cronin, Karin Fijnvandraat, Sherif M. Badawy
Summary: This study systematically reviewed the effects of patient-centered digital health records on patients with chronic conditions and found that they have significant beneficial effects on health care utilization, treatment adherence, and self-management or self-efficacy. However, more high-quality studies are needed to draw firm conclusions.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Multidisciplinary Sciences
Youngran Kim, Liang Zhu, Huili Zhu, Xiaojin Li, Yan Huang, Chunhui Gu, Heather Bush, Caroline Chung, Guo-Qiang Zhang
Summary: This study analyzed 314,004 COVID-19 patients and found that individuals with cancer, especially those diagnosed within 1 year and receiving treatment, had higher risks for worse COVID-19 outcomes, including 30-day mortality and hospitalization.
Article
Computer Science, Information Systems
Silvia P. Canelon, Heather H. Burris, Lisa D. Levine, Mary Regina Boland
Summary: The study developed an algorithm named MADDIE to infer patient delivery dates and delivery-specific details from EHRs with high accuracy, and validated the results against a birth log, demonstrating its effectiveness in accurately identifying multiple deliveries per patient and augmenting the EHR with delivery-specific details.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2021)
Article
Multidisciplinary Sciences
Yikuan Li, Shishir Rao, Abdelaali Hassaine, Rema Ramakrishnan, Dexter Canoy, Gholamreza Salimi-Khorshidi, Mohammad Mamouei, Thomas Lukasiewicz, Kazem Rahimi
Summary: The study combines deep Bayesian learning with deep kernel learning to provide a more comprehensive uncertainty estimation for clinical decision making. Experimental results demonstrate that the method outperforms traditional Gaussian processes and deep Bayesian neural networks in capturing uncertainty and shows comparable generalization performance.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Software Engineering
Xuanzhe Liu, Huoran Li, Xuan Lu, Tao Xie, Qiaozhu Mei, Feng Feng, Hong Mei
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2018)
Article
Computer Science, Information Systems
Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2018)
Article
Medical Informatics
David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2019)
Article
Medical Informatics
Xuedong Li, Yue Wang, Dongwu Wang, Walter Yuan, Dezhong Peng, Qiaozhu Mei
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2019)
Article
Management
Wei Ai, Yan Chen, Qiaozhu Mei, Jieping Ye, Lingyu Zhang
Summary: The gig economy offers autonomy and flexibility to workers, but it may lead to a loss of work identity and coworker bonds. This study conducted a field experiment on a ride-sharing platform to explore the impact of team formation and interteam contests. The findings show that team identity and contests can increase revenue and worker engagement in a gig economy.
MANAGEMENT SCIENCE
(2023)
Article
Health Care Sciences & Services
Danny T. Y. Wu, David Hanauer, Paul Murdock, V. G. Vinod Vydiswaran, Qiaozhu Mei, Kai Zheng
Summary: Medical IR systems should consider incorporating a semantically based query recommendation (SBQR) as a user-controlled option or a semiautomated feature to shape users' positive perceptions of system performance.
JMIR FORMATIVE RESEARCH
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Kai Zheng, Yunan Chen, Julia Adler-Milstein, Andrew L. Rosenberg, Danny T. Y. Wu, Qiaozhu Mei, David A. Hanauer
MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019)
(2019)
Article
Computer Science, Information Systems
Qiang Wei, Yukun Chen, Mandana Salimi, Joshua C. Denny, Qiaozhu Mei, Thomas A. Lasko, Qingxia Chen, Stephen Wu, Amy Franklin, Trevor Cohen, Hua Xu
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2019)
Proceedings Paper
Computer Science, Software Engineering
Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu
ESEC/FSE'2019: PROCEEDINGS OF THE 2019 27TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu
WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Qiaozhu Mei
COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 )
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Shan Jiang, Chengxiang Zhai, Qiaozhu Mei
2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
(2018)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei
WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)
(2018)
Proceedings Paper
Computer Science, Information Systems
Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei
ACM/SIGIR PROCEEDINGS 2018
(2018)