Journals Journal of Medical Internet Re...

Journal of Medical Internet Research
Abi Sriharan, Nigar Sekercioglu, Cheryl Mitchell, Senthujan Senkaiahliyan, Attila Hertelendy, Tracy Porter, Jane Banaszak-Holl
BACKGROUND: The leaders of healthcare institutions are grappling with rising expenses and surging demands for medical services. In response, they are increasingly embracing artificial intelligence (AI) technologies to improve patient care processes, alleviate operational burdens, and efficiently improve healthcare quality. OBJECTIVE: In this paper we will review the existing literature and synthesize insights on the role of leadership in driving AI transformation within the healthcare sector...
July 15, 2024: Journal of Medical Internet Research
Laura E Ong, Sarah Speicher, Diana Villasenor, Jamie Kim, Adam Jacobs, Kathryn S Macia, Marylene Cloitre
BACKGROUND: Peer-supported mobile health (mhealth) programs hold the promise of providing a low-burden approach to increasing access to care and improving mental health. While peer support has been shown to improve engagement into care, there is limited investigation about the impact of peers on symptom outcome. Trauma-exposed populations frequently suffer from co-occurring posttraumatic stress and depressive symptoms as well as difficulties in day-to-day functioning. This study evaluated the potential benefits of a peer-supported transdiagnostic mhealth program on symptom outcomes and functioning...
July 9, 2024: Journal of Medical Internet Research
Subin Park, Hui Ju Shin, Hyoeun Kwak, Hyun Joo Lee
BACKGROUND: The adoption of immersive technology in simulation-based nursing education has grown significantly, offering a solution to resource limitations and enabling safe access to clinical environments. Despite its advantages, there are still diverse reports regarding the effectiveness of immersive technology. It is crucial to verify the effectiveness of immersive technology in nursing education to inform future educational programs. OBJECTIVE: This systematic review aimed to identify the contents of immersive technology-based education for undergraduate nursing students and evaluate the effectiveness of immersive technology compared to traditional teaching methods...
July 8, 2024: Journal of Medical Internet Research
Li Zhui, Li Fenghe, Wang Xuehu, Fu Qining, Ren Wei
This viewpoint article first explores the ethical challenges associated with the future application of large language models (LLMs) in the context of medical education. These challenges include not only ethical concerns related to the development of LLMs, such as artificial intelligence (AI) hallucinations, information bias, privacy and data risks, and deficiencies in terms of transparency and interpretability but also issues concerning the application of LLMs, including deficiencies in emotional intelligence, educational inequities, problems with academic integrity, and questions of responsibility and copyright ownership...
July 6, 2024: Journal of Medical Internet Research
S Raquel Ramos, Harmony Reynolds, Constance Johnson, Gail Melkus, Trace Kershaw, Julian Thayer, Allison Vorderstrasse
BACKGROUND: Sexual minority men with HIV are at increased risk of cardiovascular disease (CVD) and have been underrepresented in behavioral research and in clinical trials. OBJECTIVE: To explore perceptions about HIV-related comorbidities and assess the interest and usability of a virtual environment as CVD prevention education in Black and Latinx sexual minority men with HIV. METHODS: This is a 3-phase pilot randomized control behavioral trial...
June 12, 2024: Journal of Medical Internet Research
Yu-Qing Cai, Yue Cai, Li-Ying Tang, Tian-Ci Jing, Mengchun Gong, Hui-Jun Li, Wei Hu, Xingang Zhang, Da-Xin Gong, Guang-Wei Zhang
In recent years, there has been an explosive development of artificial intelligence (AI), which has been widely applied in the healthcare field. As a typical AI technology, machine learning (ML) models have emerged as great potential in predicting cardiovascular diseases (CVDs) by leveraging large amounts of medical data for training and optimization, which are expected to play a crucial role in reducing the incidence and mortality rates of CVDs. Although the field has become a research hotspot, there are still many pitfalls that researchers need to pay close attention to...
June 12, 2024: Journal of Medical Internet Research
Paola Pascual-Ferra, Neil Alperstein, Julia Burleson, Amelia M Jamison, Ananya Bhaktaram, Sidharth Rath, Rohini Ganjoo, Satyanarayan Mohanty, Daniel J Barnett, Rajiv N Rimal
BACKGROUND: During an infodemic, the need for timely, reliable, and accessible information is crucial to combat the proliferation of health misinformation. Message testing can provide vital information to make data-informed decisions, but traditional methods tend to be time and resource intensive. Recognizing this need, we developed the Rapid Message Testing at Scale (RMTS) approach to allow communicators to repurpose existing social media advertising tools and understand the full spectrum of audience engagement...
June 11, 2024: Journal of Medical Internet Research
Xi Chen, Li Wang, MingKe You, WeiZhi Liu, Yu Fu, Jie Xu, Shaiting Zhang, Gang Chen, Kang Li, Jian Li
BACKGROUND: Evaluating and Enhancing Large Language Models' Performance in Domain-specific Medicine: Explainable LLM with DocOA. OBJECTIVE: This study focused on evaluating and enhancing the clinical capabilities and explainability of LLMs in specific domains, using osteoarthritis (OA) management as a case study. METHODS: A domain specific benchmark framework was developed, which evaluate LLMs across a spectrum from domain-specific knowledge to clinical applications in real-world clinical scenarios...
June 3, 2024: Journal of Medical Internet Research
Linger Li, Pengfei Li, Kun Wang, Liang Zhang, Hongqin Zhao, Hongwei Ji
Migraine, a frequent and highly disabling disorder, necessitates enhanced education of individuals with migraine to mitigate this global burden. The rapidly evolving field of large language models (LLMs) presents a promising avenue for assisting in migraine patient education. This study aims to assess the potential of LLMs in this context by evaluating the accuracy of responses from five leading LLMs, including OpenAI's ChatGPT 3.5 and 4.0, Google Bard, Meta Llama2, and Anthropic Claude2, in addressing 30 commonly asked migraine-related queries...
May 29, 2024: Journal of Medical Internet Research
Xufei Luo, Fengxian Chen, Di Zhu, Ling Wang, Zijun Wang, Hui Liu, Meng Lyu, Ye Wang, Qi Wang, Yaolong Chen
Large language models (LLMs) like ChatGPT have become widely applied in the field of medical research. In the process of conducting systematic reviews, similar tools can be employed to expedite various steps, including defining clinical questions, literature search, document screening, information extraction, and language refinement, etc, thereby conserving resources and enhancing efficiency. However, when utilizing LLMs, attention should be given to transparent reporting, distinguishing between genuine and false content, and avoiding academic misconduct...
May 29, 2024: Journal of Medical Internet Research
Andreas Meer, Philipp Rahm, Markus Schwendinger, Michael Vock, Bettina Grunder, Jacopo Demurtas, Jonas Rutishauser
BACKGROUND: Symptom-checkers have become important tools for self-triage, assisting patients to determine the urgency of medical care. To be safe and effective, these tools must be validated, particularly to avoid potential hazardous undertriage without leading to inefficient overtriage. Only limited safety data from studies including small sample sizes have been available so far. OBJECTIVE: The objective of our study was to prospectively investigate the safety of patients' self-triage in a large patient sample...
May 29, 2024: Journal of Medical Internet Research
Hongxun Jiang, Ziyue Mi, Wei Xu
BACKGROUND: Online health communities (OHCs) have given rise to a new e-service known as online medical consultation (OMC), enabling remote interactions between physicians and patients. To address challenges such as patient information overload and uneven distribution of physician visits, OHCs should develop OMC-oriented recommenders. OBJECTIVE: We aimed to comprehensively investigate what paradigms lead to the success of OMC-oriented recommendations. METHODS: A literature search conducted through e-databases, including PubMed, ACM Digital Library, Springer, and ScienceDirect from January 2011 to December 2023...
May 21, 2024: Journal of Medical Internet Research
Wen-Yi Shau, Handoko Santoso, Vincent Jip, Sajita Setia
BACKGROUND: Asia consists of diverse nations with extremely variable healthcare systems and socio-economic intricacies. Integrated real-world data (RWD) research warehouses provide vast interconnected datasets that uphold statistical rigor. However, their intricate details remain underexplored, restricting their broader application in healthcare research, policies and partnerships. OBJECTIVE: Building on our prior research that analyzed integrated RWD warehouses in India, Thailand and Taiwan, this study is an extension to seven distinct Asian healthcare systems: Hong Kong, Indonesia, Malaysia, Pakistan, the Philippines, Singapore, and Vietnam...
May 7, 2024: Journal of Medical Internet Research
Laura Campbell, Jonathan Quicke, Kay Stevenson, Zoe Paskins, Krysia Dziedzic, Laura Swaithes
BACKGROUND: Twitter (now X) is a virtual social network commonly used by healthcare professionals. Little is known about whether it helps healthcare professionals to share, mobilise and co-create knowledge, or reduce the time between research knowledge being created and used in clinical practice (the evidence-to-practice gap). Musculoskeletal First Contact Physiotherapists (FCPs) are primary care specialists who diagnose and treat people with musculoskeletal conditions without needing to see their General Practitioner (family physician) first...
May 6, 2024: Journal of Medical Internet Research
Vladimir Adrien, Nicolas Bosc, Claire Peccia Galletto, Thomas Diot, Damien Claverie, Nicco Reggente, Marion Trousselard, Eric Bui, Thierry Baubet, Félix Schoeller
Posttraumatic stress disorder (PTSD) is a significant public health concern, with only a third of patients recovering within a year of treatment. While PTSD often disrupts the sense of body ownership and the sense of agency (SA), attention to SA in trauma has been lacking. This perspective article explores the loss of SA in PTSD and its relevance in the development of symptoms. Trauma is viewed as a breakdown of SA, related to a freeze response, with peritraumatic dissociation increasing the risk of PTSD. Drawing from embodied cognition, we propose an "enactive" perspective of PTSD, suggesting therapies that restore the SA through direct engagement with the body and environment...
May 2, 2024: Journal of Medical Internet Research
Roberto Vagnetti, Nicola Camp, Matthew Story, Khaoula Ait-Belaid, Suvo Mitra, Massimiliano Zecca, Alessandro Di Nuovo, Daniele Magistro
BACKGROUND: Numerous user-related psychological dimensions can significantly influence the dynamics between humans and robots. For developers and researchers, it is crucial to have a comprehensive understanding of the psychometric properties of the available instruments used to assess these dimensions, as they indicate the reliability and validity of the assessment. OBJECTIVE: This study aims to provide a systematic review of the instruments available for assessing the psychological aspects between people and social and domestic robots, offering a summary of their psychometric properties and the quality of the evidence...
April 25, 2024: Journal of Medical Internet Research
Jiaqi Fan, Hanyi Dai, Yuchao Guo, Jianguo Xu, Lihan Wang, Jubo Jiang, Xinping Lin, Cheng Li, Dao Zhou, Huajun Li, Xianbao Liu, Jian'an Wang
BACKGROUND: There are limited data available on the development of arrhythmias in patients at risk of high-degree atrioventricular block (HAVB) or complete heart block (CHB) following transcatheter aortic valve replacement (TAVR). OBJECTIVE: This study aimed to explore the incidence and evolution of arrhythmias by monitoring patients at risk of HAVB or CHB after TAVR using smartwatches. METHODS: We analyzed 188 consecutive patients in the prospective SMART TAVR (smartwatch-facilitated early discharge in patients undergoing TAVR) trial...
July 19, 2024: Journal of Medical Internet Research
Felix Busch, Tianyu Han, Marcus R Makowski, Daniel Truhn, Keno K Bressem, Lisa Adams
[This corrects the article DOI: 10.2196/54948.].
July 19, 2024: Journal of Medical Internet Research
Melissa Oldham, Larisa-Maria Dina, Gemma Loebenberg, Olga Perski, Jamie Brown, Colin Angus, Emma Beard, Robyn Burton, Matt Field, Felix Greaves, Matthew Hickman, Eileen Kaner, Susan Michie, Marcus R Munafò, Elena Pizzo, Claire Garnett
BACKGROUND: The extent to which interventions are perceived as acceptable to users impacts engagement and efficacy. OBJECTIVE: In this study, we evaluated the acceptability of (1) the smartphone app Drink Less (intervention) and (2) the National Health Service (NHS) alcohol advice web page (usual digital care and comparator) among adult drinkers in the United Kingdom participating in a randomized controlled trial evaluating the effectiveness of the Drink Less app...
July 18, 2024: Journal of Medical Internet Research
Dan-Ping Chao
BACKGROUND: The popularization of the internet and rapid development of mobile devices have led to an increased inclination and opportunities to obtain health-related information online. The eHealth Literacy Scale (eHEALS), widely used for measuring eHealth literacy, assesses an individual's ability to search, understand, appraise, and use eHealth information. However, the Chinese version of the eHEALS multiple-factor model remains to be validated, and the correlation between eHEALS and the health-promoting lifestyle profile (HPLP) among university students is rarely explored in Taiwan...
July 18, 2024: Journal of Medical Internet Research
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