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Yulong Gu

Researcher at RMIT University

Publications -  48
Citations -  536

Yulong Gu is an academic researcher from RMIT University. The author has contributed to research in topics: Health care & Shared care. The author has an hindex of 9, co-authored 43 publications receiving 379 citations. Previous affiliations of Yulong Gu include National Institutes of Health & Richard Stockton College of New Jersey.

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Journal ArticleDOI

Mobile phone text messaging and app‐based interventions for smoking cessation

TL;DR: There is moderate-certainty evidence that automated text message-based smoking cessation interventions result in greater quit rates than minimal smoking cessation support and moderate- Certainty evidence of the benefit of text messaging interventions in addition to other smoking cessation supported interventions.
Journal ArticleDOI

Development of an Evidence-Based mHealth Weight Management Program Using a Formative Research Process.

TL;DR: This study develops an evidence-based mHealth weight management program (Horizon) using formative research and a structured content development process that aligns with participants’ needs and could be used as a basis for other m health weight management programs.
Journal ArticleDOI

Influencing factors for adopting personal health record (PHR).

TL;DR: The aim was to find a baseline for PHR research using the Technology Acceptance Model, after which emerging topics will be pursued with constant comparison to this first study and subsequent studies.
Journal ArticleDOI

Introduction of Electronic Referral from Community Associated with More Timely Review by Secondary Services

TL;DR: The period of eReferral uptake was associated with significant speed-up in referral processing without changes in staffing levels, and provides a foundation for further innovation in the community-secondary interface.
Proceedings ArticleDOI

A System Architecture Design for Knowledge Management (KM) in Medical Genetic Testing (MGT) Laboratories

TL;DR: An information system (IS) architecture is proposed to establish process automation and content management of the distributed workflow of knowledge generation and knowledge management (KG&KM) during MGT result interpretation to significantly improve MGT lab researchers' KG &KM performance.