Review
Health Care Sciences & Services
Ayogeboh Epizitone, Smangele Pretty Moyane, Israel Edem Agbehadji
Summary: The deployment of health information systems has been driven by the ongoing transformation and digitalization in healthcare. The global instability in various sectors has significantly influenced the need and potential of these systems in healthcare. Research studies have highlighted the shortcomings of these systems, which have hindered their ability to revolutionize healthcare.
Article
Health Care Sciences & Services
Seyed Faraz Mahdavi Ardestani, Sasan Adibi, Arman Golshan, Paria Sadeghian
Summary: E-learning has transformed healthcare education by providing professionals with training opportunities regardless of their location, but those in remote areas face challenges. A study was conducted to identify the factors affecting e-learning effectiveness in healthcare. Success, satisfaction, availability, effectiveness, readability, and engagement were identified as important factors. The study highlights the benefits of e-learning, such as increased accessibility and cost efficiency, and provides insights for future e-learning programs.
Article
Public, Environmental & Occupational Health
Hamish R. Graham, Ayobami A. Bakare, Adejumoke Idowu Ayede, Joseph Eleyinmi, Oyaniyi Olatunde, Oluwabunmi R. Bakare, Blessing Edunwale, Eleanor F. G. Neal, Shamim Qazi, Barbara McPake, David Peel, Amy Z. Gray, Trevor Duke, Adegoke G. Falade
Summary: The Nigeria Oxygen Implementation programme has demonstrated medium-term sustainability and cost-effectiveness in improving hospital oxygen systems, leading to improved quality of care and reduced mortality for children with pneumonia.
Review
Medicine, General & Internal
Teumzghi F. Mebrahtu, Sarah Skyrme, Rebecca Randell, Anne-Maree Keenan, Karen Bloor, Huiqin Yang, Deirdre Andre, Alison Ledward, Henry King, Carl Thompson
Summary: This study systematically reviewed the impact of CDSS on the performance and care outcomes of nurses and allied health professionals. The findings suggest that CDSS has a positive impact on care processes and patient care outcomes, but comparative research is generally of low quality and better evaluative research is needed.
Article
Engineering, Industrial
Ying Zhou, Lingling Wang, Yayin Xu, Lieyun Ding, Zhouping Tang
Summary: This paper explores the development and utilization of an intelligent Fangcang shelter hospital system through a case study. The study provides insights on the implementation of such a system and identifies lessons learned. The findings are significant in guiding the operation of COVID-19 field hospitals and the implementation and development of intelligent Fangcang shelter hospitals.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Review
Medicine, General & Internal
Ahmed Alawadhi, Victoria Palin, Tjeerd van Staa
Summary: The overall rate of missed hospital appointments was 22.3%, but varied between clinics. Key predictors included age, sex, service costs, patient's residence distance from hospital, waiting time, and appointment day and season. Substantive variability between clinics in predictors such as service costs and waiting time was observed.
Article
Computer Science, Artificial Intelligence
Michael Guckert, Nils Gumpfer, Jennifer Hannig, Till Keller, Neil Urquhart
Summary: Intelligent information systems with emergent elements face trust issues that can be addressed by user interaction and reflection of human understanding to increase trust in the solution.
COGNITIVE SYSTEMS RESEARCH
(2021)
Article
Medicine, General & Internal
Elizabeth Sapey, Suzy Gallier, Felicity Evison, David McNulty, Katherine Reeves, Simon Ball
Summary: This study found significant variation in the reported metrics related to reason to reside (R2R) in acute hospitals in England. Implementing a standardized data model reduced the variation, but the electronic R2R (eR2R) had poor performance and did not contribute meaningfully to discharge planning.
Article
Health Care Sciences & Services
Bernd Blobel, Pekka Ruotsalainen, Mathias Brochhausen, Edson Prestes, Michael A. Houghtaling
Summary: The global transformation of health systems aims to achieve personalized, preventive, predictive, participatory precision medicine with the support of technology. It takes into account individual health status, conditions, as well as genetic and genomic dispositions in various contexts. This transformation involves understanding the pathology of diseases, turning health and social care from reactive to proactive, and requires the deployment of advanced technologies including autonomous systems and artificial intelligence. However, it also poses important ethical and governance challenges.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Psychology, Multidisciplinary
Huiyan Liao, Yi Liu, Peigong Li
Summary: As strategic assets, information systems are adopted by organizations to enhance knowledge performance. This study explores the relationships between IS adoption, organizational capabilities, IS-enabled absorptive capacity, and organizational knowledge performance. The empirical examination of our model using survey data from 417 IS employees of 21 state governments in the U.S. reveals that IS adoption alone does not generate IS-enabled absorptive capacity, but it is positively influenced by organizational capabilities. Additionally, the synergy between IS adoption and organizational capabilities has a positive impact on IS-enabled absorptive capacity, which in turn significantly drives manager and employee knowledge performance. This research contributes to understanding the relationships among IS adoption, organizational capabilities, and organizational knowledge performance in the U.S. public sectors.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Computer Science, Information Systems
Jacek Kryszyn, Kamil Cywoniuk, Waldemar T. Smolik, Damian Wanta, Przemyslaw Wroblewski, Mateusz Midura
Summary: This article examines the performance of a system based on the openEHR standard and compares it with a proprietary system. The study found that the system based on the proprietary data model had better performance in terms of medical data fetching. However, the openEHR-based system may face performance issues due to the additional software layer introduced.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Mathematics, Interdisciplinary Applications
Zhao Huang, Pavel Stakhiyevich
Summary: This study proposes a time-aware hybrid recommendation approach that can better adapt to user preference changes and improve recommendation performance.
Article
Computer Science, Artificial Intelligence
Mona Sloane, Ian Rene Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich
Summary: As automated decision systems (ADS) become more integrated into global business processes, the need for practical methods of establishing meaningful transparency is growing. This article introduces the concept of contextual transparency, which combines social science, engineering, and information design to improve ADS transparency for specific professions, business processes, and stakeholders. The applicability of contextual transparency is demonstrated through a case study on the use of nutritional labels for ADS-driven rankers in recruiting processes, and suggestions for future work are provided.
NATURE MACHINE INTELLIGENCE
(2023)
Article
Health Care Sciences & Services
Pooya Kazemi, Francis Lau, Clyde Matava, Allan F. Simpao
Summary: Anesthesia Information Management Systems (AIMS) are specialized electronic medical records used by anesthesiologists to collect and present perioperative patient data. A recent study identified 13 commercially available AIMS in the American and Canadian marketplace, with 10 systems described in detail. Different AIMS offer varying features and functionalities, allowing anesthesia departments to choose a system that best fits their needs.
JOURNAL OF MEDICAL SYSTEMS
(2021)
Article
Health Care Sciences & Services
Kimberly Arellano Carmona, Deepti Chittamuru, Richard L. Kravitz, Steven Ramondt, A. Susana Ramirez
Summary: This study surveyed users of a web-based AI-powered symptom checker to understand their usage patterns and effects. The results demonstrate that users generally have high confidence in the tool, find it useful and easy to understand, and feel less anxious and more empowered to seek medical help. There were differences in perceptions and intentions among users of different races and genders.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Yan Qiu, Shuai Ding, Ningguang Yao, Dongxiao Gu, Xiaojian Li
Summary: This paper introduces a novel prediction model (HFS-LightGBM) to evaluate the probability and frequency of ICU patient readmissions more accurately. By combining filter and wrapper methods, optimizing hyperparameters, and feature selection, the model outperforms current prevailing models.
Article
Health Care Sciences & Services
Yiming Ma, Changyong Liang, Dongxiao Gu, Shuping Zhao, Xuejie Yang, Xiaoyu Wang
Summary: The study shows that the use of social media at work by older workers can improve information support, emotional support, and self-efficacy, with information support having the greatest impact on the self-efficacy of older workers.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Environmental Sciences
Xiaoxiang Li, Shuhan Zhang, Rong Chen, Dongxiao Gu
Summary: The positive hospital climate induces internal attribution tendency, which positively affects peer report intention. Contract reward also increases peer report intention, especially for health professionals with internal attribution tendency.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Business
Xuejie Yang, Dongxiao Gu, Jiao Wu, Changyong Liang, Yiming Ma, Jingjing Li
Summary: This paper explores the factors that lead to health anxiety in the context of easy access to e-health information. Utilizing the S-O-R framework, a theoretical model is proposed, which is empirically examined with self-reported data points. The study findings indicate positive impacts of anxiety sensitivity and physical symptoms on metacognitive beliefs and catastrophic misinterpretation, which in turn influence health anxiety.
Article
Medicine, General & Internal
Kaixiang Su, Jiao Wu, Dongxiao Gu, Shanlin Yang, Shuyuan Deng, Aida K. Khakimova
Summary: A new machine learning model combining Deep Ensemble Model (DEM) and tree-structured Parzen Estimator (TPE) was proposed for dynamic evolving diagnostic task scenarios, focusing on aggregating simple models more easily understood by physicians and requiring less training data. The model can choose the optimal number of layers and basic learners to achieve the best performance based on data distribution and task characteristics, outperforming baseline models on different datasets. The findings suggest important implications for the application of machine learning models in computer-aided diagnosis tasks with variable datasets and feature sets.
Article
Social Issues
Liyan Lu, Changyong Liang, Dongxiao Gu, Yiming Ma, Yuguang Xie, Shuping Zhao
Summary: The study found that relative advantage, corporate social responsibility, top management support, and organizational readiness have a positive impact on blockchain adoption intention in the elderly care industry, while the effects of competitive pressure and government support are insignificant.
TECHNOLOGY IN SOCIETY
(2021)
Article
Computer Science, Artificial Intelligence
Jinxin Yang, Dongxiao Gu, Shanlin Yang, Kongchun Mei, Yunxia Cao
Summary: In this paper, a new linguistic fuzzy model called HIVPLZN is proposed, which combines a linguistic fuzzy set and a linguistic Z-number. It enhances the reliability of decision-making information, reflects the fuzziness, flexibility, and practicability of decision-making information, and has wide applications in various fields. The paper presents a method to solve multi-attribute group decision-making problems and introduces related operators, aggregation operator, and score functions of HIVPLZN. The feasibility and validity of the method are verified through an example and comparison with existing methods.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2022)
Article
Computer Science, Information Systems
Dongxiao Gu, Min Li, Xuejie Yang, Yadi Gu, Yu Zhao, Changyong Liang, Hu Liu
Summary: This study constructs an intelligent method for identifying psychological cognitive change based on natural language processing technology, and it incorporates emotion information from reply text to determine whether such change has occurred. The experimental results show that the proposed classification model performs better than traditional methods, achieving precision of 84.38%, recall rate of 84.09%, and F1 value of 84.17%.
INFORMATION PROCESSING & MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Jian Xu, Hemant K. Jain, Dongxiao Gu, Changyong Liang
Summary: This paper discusses the challenges of selecting and assembling cloud services to support multiple related business processes and proposes a multi-factor cloud service composition optimal selection model and an improved differential evolution algorithm for solution.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Health Care Sciences & Services
Qi Wei, Xiaoyu Wang, Gongrang Zhang, Xingguo Li, Xuejie Yang, Dongxiao Gu
Summary: Internet healthcare is crucial for the digital transformation of the healthcare industry and plays a vital role in achieving China's Healthy China strategy. This study analyzes current policy texts to identify potential issues and inadequacies and reveals that while policies are generally well-formulated, there are imbalances in their implementation. It is important to optimize the amalgamation and implementation of policy instruments and refine the policy content to maximize policy utility.
Article
Health Care Sciences & Services
Qingxiu Ding, Yadi Gu, Gongrang Zhang, Xingguo Li, Qin Zhao, Dongxiao Gu, Xuejie Yang, Xiaoyu Wang
Summary: The paper discusses the factors leading to health-information avoidance and how they combine to produce this behavior. The study reveals that health-information avoidance is not solely caused by one factor, but rather a combination of various factors working together.
Article
Health Care Sciences & Services
Chutong Qiu, Yuting Zhang, Xiaoyu Wang, Dongxiao Gu
Summary: Medical service is a special credit commodity, and trust plays a crucial role in patients' online medical choice behavior. Factors such as the medical title, department's reputation, number of gifts received, and number of registered patients after diagnosis significantly influence the behavior of choosing doctors.
Article
Health Care Sciences & Services
Yi Xie, Dongxiao Gu, Xiaoyu Wang, Xuejie Yang, Wang Zhao, Aida K. Khakimova, Hu Liu
Summary: This paper uncovers the research hotspots and development directions of case-based reasoning in healthcare, proposing a framework and key technologies for medical knowledge service systems based on case-based reasoning in the big data environment. The study shows that the system, which provides case-based explanations for predicted results, has good interpretability and better acceptance compared to common intelligent decision support systems, supporting physicians in diagnosis, treatment, and teaching.
Article
Management
Yan Qiu, Dongxiao Gu, Hongmin Zhang, Hua Tang, Yunxia Cao
Summary: Emphasizing the importance of medical service matching between suppliers and demanders, a two-stage matching decision-making method is proposed which considers patient similarity and bilateral preferences. Specific rules are used to calculate the integrated preference difference values between patients and doctors. The proposed method is verified through a case study on an online health platform.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2022)
Article
Health Care Sciences & Services
Dongxiao Gu, Gunay Humbatova, Yi Xie, Xuejie Yang, Oleg Zolotarev, Gongrang Zhang
Summary: This study examines the impact of telehealth and telemedicine on patient satisfaction and willingness to travel in the context of medical tourism. Through an empirical study in Azerbaijan, results show that communication quality and information quality have positive influences on medical travel willingness. The study also highlights the importance of understanding the differences between telehealth and telemedicine in relation to medical tourism.
Article
Computer Science, Information Systems
Karen Renaud, Merrill Warkentin, Ganna Pogrebna, Karl van der Schyff
Summary: Insider threats can cause significant damage due to insiders' access and trust. To mitigate these threats, organizations must understand different types of insider threats and employ tailored measures.
INFORMATION & MANAGEMENT
(2024)
Article
Computer Science, Information Systems
Quirin Demlehner, Sven Laumer
Summary: This article discusses the challenges brought by the rapid development of artificial intelligence in the adoption of technology at an individual level. It focuses on the role of biases and examines their impact on user decision making. Through a case study of three German car manufacturers, the article highlights the importance of the pre-announcement phase in information systems adoption and provides a comprehensive analysis of biases caused by individuals' cognitive limitations. It also reveals a notable spillover effect of users' experiences and opinions on AI from their personal lives to their professional lives, which contradicts previous findings in IS research.
INFORMATION & MANAGEMENT
(2024)
Article
Computer Science, Information Systems
Xinyu Sun, Yan Zhang, Juan Feng
Summary: This study investigates the impact of online information on brand reputation and brand premium in the online market. The findings suggest that the presence of online information may change the situation of brand premium, and firms with lower reputation can potentially earn higher profits under certain conditions. Additionally, as the gap in brand reputation increases, the profits of both firms may also increase, leading to a win-win situation in brand competition.
INFORMATION & MANAGEMENT
(2024)
