Healthcare LLMs Go to Market: A Realist Review of Product Launch News.

We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare industry. Through a systematic search in the Factiva database and the application of a Context, Intervention, Mechanism, Outcome (CIMO) framework, we identified and assessed 23 significant records, representing 17 unique product launches between January 2023 and February 2024. This manuscript contributes to the emerging literature on health LLMs and Generative AI by focusing on actual product launches of healthcare LLM products-a less explored aspect than theoretical potential.

Unpacking Sociotechnical Discourses on Telehealth Use and Data Protection: A Path Towards Digital Health Value Creation.

Background: Telehealth uptake will remain sub-optimal without consumer trust. Safeguarding the security and privacy of health information plays an important role in building trust and acceptance of telehealth.

Objectives: This study seeks to unpack the sociotechnical discourses on the use of telehealth with a focus on privacy and security in the context of United States health services.

Exploring public opinion about telehealth during COVID-19 by social media analytics.

While COVID-19 catalyzed the acceptance and use of telehealth, our understanding of how it is perceived by multi-stakeholders such as patients, clinicians, and health authorities is limited. Drawing on social media analytics, this research examines social media discourses and users' opinions about telehealth during the COVID-19 pandemic. It applies natural language processing and deep learning to explore word of mouth on telehealth with a contextualized focus on the COVID-19 pandemic.

Data privacy concerns and use of telehealth in the aged care context: An integrative review and research agenda.

Objective: Effective use of telehealth offers substantial benefits to older persons and aged care providers. However, data privacy concerns challenge the effective use of telehealth and subsequent business value. Through developing a theoretical model, we explain how privacy concerns can influence the adoption ad use of telehealth in this complex context.

Infodemic, Misinformation and Disinformation in Pandemics: Scientific Landscape and the Road Ahead for Public Health Informatics Research.

In response to epidemics and pandemics, access to authentic sources of information plays a critical role in informing public health practices. However, infodemic, i.e.

Health Data Privacy in the COVID-19 Pandemic Context: Discourses on HIPAA.

Background: Considering the impacts of the COVID-19 pandemic on health service delivery, the US Office for Civil Rights (OCR) updated the policies on health data processing, and Health Insurance Portability and Accountability Act (HIPAA).

Objectives: In this study, we investigated discourses on HIPAA in relation to COVID-19.

Methods: Through a search of media sources in the Factiva database, relevant texts were identified.

Profiling adopters (and non-adopters) of a contact tracing mobile application: Insights from Australia.

Objective: Many governments are using contact tracing mobile applications (CTMAs) yet public adoption of such systems has been relatively low. The main objective of this paper is to profile adopters (and non-adopters) of Australia's COVIDSafe CTMA.

Materials And Methods: We use latent profile analysis to examine predictors of CTMA download behaviour.

Health Data Privacy: Research Fronts, Hot Topics and Future Directions.

Health data privacy is an important research stream due to the high impacts on the success of digital health transformation and implementation. Neglecting to safeguard data confidentially and integrity and mitigate risks associated with unauthorized access will lead to failures in materializing benefit from digital health. This study aims to present a bibliometric analysis of health data privacy and provide a platform for future directions.

Individuals' privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspective.

Objective: The study sought to develop and empirically validate an integrative situational privacy calculus model for explaining potential users' privacy concerns and intention to install a contact tracing mobile application (CTMA).

Materials And Methods: A survey instrument was developed based on the extant literature in 2 research streams of technology adoption and privacy calculus. Survey participants (N = 853) were recruited from all 50 U.

Towards a contextual theory of Mobile Health Data Protection (MHDP): A realist perspective.

Background: With the introduction of privacy regulations such as the California Consumer Privacy Act and the European Union General Data Protection Regulation (GDPR), effective data protection in mobile health (mHealth) is rapidly becoming a concern. However, we have a limited understanding of the contexts and mechanisms that affect the likelihood of failures and successes in mHealth data protection, and their subsequent impacts. In this review and theory development paper, we aim to address this critical knowledge gap.

General Data Protection Regulation (GDPR) in Healthcare: Hot Topics and Research Fronts.

General Data Protection Regulation came into effect across the European Union in May 2018 but its implications in healthcare are yet to be fully understood. The aim of this study was to identify the fronts and hot topics in research on GDPR in healthcare. We analyzed the relevant records in Scopus through bibliometric and scientometric approach and visualization techniques.

Coevolution in management fashion: an agent-based model of consultant-driven innovation.

The rise of management consultancy has been accompanied by increasingly marked faddish cycles in management techniques, but the mechanisms that underlie this relationship are not well understood. The authors develop a simple agent-based framework that models innovation adoption and abandonment on both the supply and demand sides. In opposition to conceptions of consultants as rhetorical wizards who engineer waves of management fashion, firms and consultants are treated as boundedly rational actors who chase the secrets of success by mimicking their highest-performing peers.

Health information technologies in geriatrics and gerontology: a mixed systematic review.

Objective: To review, categorize, and synthesize findings from the literature about the application of health information technologies in geriatrics and gerontology (GGHIT).

Materials And Methods: This mixed-method systematic review is based on a comprehensive search of Medline, Embase, PsychInfo and ABI/Inform Global. Study selection and coding were performed independently by two researchers and were followed by a narrative synthesis.