Contribution and legacy: a qualitative study of older people’s attitudes about sharing their routinely collected health data for research purposes in New Zealand by Engelina Groenewald, Jasmine Appleton, Brendan Hallam, Cristian Gonzalez-Prieto, Susan Yates, Daniel Wilson, Gillian Dobbie, Rosie Dobson, Sarah Cullum

“…Data were analysed using thematic analysis. Results Themes identified were: 1) Benefits: participants believed that there were benefits to sharing their health data such as helping others, improving health services, advancing scientific knowledge, and giving back to the health system; sharing health data was also seen as a reflection of good character, and people felt that their pre-existing views about whether they wished to share health data should be respected even if they were no longer able to consent. 2) Concerns: participants had concerns about sharing data with private companies, the use of inaccurate data, and the potential personal and societal consequences of sharing health data. 3) Expectations: participants encouraged collaboration between institutions in New Zealand, but expected data privacy to be maintained, processes to be transparent and cultural values around data to be respected; there was an expectation those sharing health data (patients or institutions) should benefit from any private sector gains. …”
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Big Data–Driven Health Portraits for Personalized Management in Noncommunicable Diseases: Scoping Review by Haoyang Du, Jianing Yu, Dandan Chen, Jingjie Wu, Erxu Xue, Yufeng Zhou, Xiaohua Pan, Jing Shao, Zhihong Ye

“…In terms of volume, structured data were widely used (64.29%-100% depending on portrait type), while unstructured data usage varied significantly (19.05%-93.33%). …”
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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…The feasibility of the pipeline will be demonstrated with the available data through research and clinical use cases. Furthermore, privacy, safety, data quality, and environmental impact are carefully considered in the cloud storage transition. …”
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Barriers impeding research data sharing on chronic disease prevention among the older adults in low-and middle-income countries: a systematic review by Neema Florence Vincent Mosha, Patrick Ngulube

“…A PRISMA flow chart was used to map out the number of studies that were identified, included, and excluded.ResultsFive main barriers were consistently highlighted, including a lack of necessary resources (9, 69%), dealing with complex and sensitive research data (2,15%), lack of policies, procedures, guidelines (5,38%), medical big data processing and integration (2,15%), and inadequate ethical considerations, legal compliance, and privacy protection (6,46%). …”
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The impact of algorithm awareness training on competent interaction with intelligent voice assistants by André Markus, Maximilian Baumann, Jan Pfister, Andreas Hotho, Astrid Carolus, Carolin Wienrich

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THE USE OF SOCIAL MEDIA FOR LEARNING ENGLISH: STUDENTS PERSPECTIVE by Muetia Safitri, Atik Yuliyani, Farida Hamid, Aminah Suriaman

“…Basic statistical analysis was used to analyze data from the questionnaire, and the data from interviews were analyzed using the flow model by Miles and Huberman. …”
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Chatbots in medicine: certification process and applied use case by Mayssam Nehme, Franck Schneider, Esther Amruthalingam, Elio Schnarrenberger, Raphaël Trëmeaud, Idris Guessous

“…However, their application in medicine and healthcare has been limited due to concerns over data privacy, ther risk of providing medical diagnoses, and ensuring regulatory and legal compliance. …”
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SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY by Mohammed A. Al-Doghan, Shaxnoza Abdulhaeva

“… This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. …”
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…However, these advancements generate vast datasets requiring effective data stewardship and curation practices to maintain data integrity, privacy, and accessibility. …”
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SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY by Mohammed A. Al-Doghan, Shaxnoza Abdulhaeva

“… This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. …”
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Patient Perspective on Use of an Interactive Website for Sleep Apnea by Carl Stepnowsky, Christine Edwards, Tania Zamora, Robert Barker, Zia Agha

“…The goal of this paper is to report on CPAP adherence, internet use, privacy concerns and user satisfaction in using the website. …”
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A practical guide to apply AI in childhood cancer: Data collection and AI model implementation by Shuping Wen, Stefan Theobald, Pilar Gangas, Karina C. Borja Jiménez, Johannes H.M. Merks, Reineke A. Schoot, Marcel Meyerheim, Norbert Graf

“…This review also outlines the rules and criteria for collecting, processing, and sharing these data. Informed consent and re-consent are required for data collection and re-use, and data quality, privacy, and security as well as data standardisation, harmonisation and interoperability are important for data processing. …”
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An efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios by Jun-Feng Tian, Hao-Ning Wang

“…With the widespread use of fog-to-cloud computing–based Internet of things devices, how to ensure the integrity of the data uploaded to the cloud has become one of the most important security issues. …”
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Blockchain-enabled Zero Trust-based Secure and Energy Efficient scheme for 6G-enabled UASNs by Altaf Hussain, Shuaiyong Li, Tariq Hussain, Razaz Waheeb Attar, Ahmed Alhomoud, Reem Alsagri, Ahmad Ali Alzubi

“…Using blockchain ensures secure and trustworthy communication, transparency in data sharing, maintenance of trust among nodes, and protection of user privacy. …”
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Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials? by ProfMD Mohan Pammi, Prakesh S Shah, MD, Liu K Yang, PhD, Joseph Hagan, ScD, Nima Aghaeepour, PhD, ProfMD Josef Neu, PhD

“…However, such digital innovations have been rarely used in paediatric trials. In this Viewpoint, we propose using virtual patient data to empower paediatric trials. …”
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Secure Blockchain Integration Approach for Knowledge Discovery in Industrial Internet of Things by Rohan Tripathi, Ritam Rao, Vivekananda Bhat K., Abhishek Kumar Pandey, Ashok Kumar Das

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Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm. by Yonggang Huang, Teng Teng, Yuanyuan Li, Minghao Zhang

“…However, when dealing with high-dimensional medical data, the inherent transparency of blockchain conflicts with the necessity of protecting patient privacy. …”
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Securing LLM Workloads With NIST AI RMF in the Internet of Robotic Things by Hassan Karim, Deepti Gupta, Sai Sitharaman

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Harnessing multi-source data for AI-driven oncology insights: Productivity, trend, and sentiment analysis by Wissal EL HABTI, Abdellah AZMANI

“…The most prominent article emphasized the Explainability of AI methods (XAI) with a profound discussion of their potential implications and privacy in data fusion contexts. Current trends involve the utilization of supervised learning methods such as CNN, Bayesian networks, and extreme learning machines for various cancers, particularly breast, lung, brain, and skin cancer. …”
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Mapping the landscape of government data breaches: A bibliometric analysis of literature from 2006 to 2023 by Supardi Hamid, Mohammad Nurul Huda

“…Data breaches in the government sector are severe threats to cybersecurity and illegal acts that flagrantly violate security and privacy laws. …”
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