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Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future

Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future

FHIR builds upon its predecessor, the HL7 Consolidated Clinical Document Architecture (C-CDA) [25], a document-based standard used to capture a “point-in-time” snapshot of a consumer health record. Unlike C-CDA, FHIR uses modern web technology, such as RESTful APIs, JSON, and XML to enable consistent data exchange. Importantly, FHIR APIs allow for “real-time” data exchange through their discrete resource design.

James C

J Particip Med 2025;17:e68261

Extending Signaling Theory in Online Health Communities to Address Medical Information Asymmetry: Systematic Review With Narrative Synthesis

Extending Signaling Theory in Online Health Communities to Address Medical Information Asymmetry: Systematic Review With Narrative Synthesis

Wang et al [40], 2020 Gong et al [36], 2021 Liu et al [8], 2022 Yang et al [12], 2021 Chen et al [27], 2015 Liu et al [37], 2022 Shah et al [19], 2019 Chen et al [27], 2015 Yang et al [41], 2021 Yang et al [42], 2018 Wang et al [40], 2020 Xia [44], 2023 Li et al [95] (2021) Chen and Walker [45] (2023) Li et al [95] (2021) Cao et al [9], 2017 Diviani et al [109], 2015 Diviani et al [110], 2016 Chen et al [45], 2023 Heponiemi et al [111], 2023 Heponiemi et al [112], 2022 Bol et al [46], 2016 Meppelink et al [113

Shanshan Guo, Kaichao Wang, Lizhen Yang, Yuanyuan Dang

J Med Internet Res 2025;27:e73208

Impact of Patient Engagement on Blood Pressure Control Among Older Individuals With Hypertension in a Mobile Health Intervention: Longitudinal Analysis Using Latent Growth Curve Modeling

Impact of Patient Engagement on Blood Pressure Control Among Older Individuals With Hypertension in a Mobile Health Intervention: Longitudinal Analysis Using Latent Growth Curve Modeling

(C) Assignment to health care provider: each patient is linked with a health care provider and receives a personalized management plan. (D) Patient engagement: patients use the app to track blood pressure and plan adherence. (E) Data storage: all collected data are securely stored on the Sevenguards server. (F) Provider support: providers monitor data and use We Chat to communicate, conduct follow-ups, and assist in blood pressure control.

Nanxiang Zhang, Hai Lin, Xichun Wu, Yongjun Zheng, Jianan Yin, Chonglong Ding, Qi Pan, Shuo Yang, Hao Luo, Xinyan Zou, Yingfeng Ge, Jinxin Zhang

J Med Internet Res 2025;27:e71668

Visualization of FDA Adverse Drug Reaction Reports: Development and Usability Study of the VisDrugs Web Server

Visualization of FDA Adverse Drug Reaction Reports: Development and Usability Study of the VisDrugs Web Server

For Paxlovid, from the pie chart and forest plot (Figure 2 A and C), we observe that in the top 15 ADRs, 12 ADRs occur more frequently in Paxlovid compared to other drugs. Patients using Paxlovid are more frequently reported to experience disease recurrence, dysgeusia (COVID-19), and taste disorder (Figure 2 C). In fact, the presence of COVID-19 is consistent with Paxlovid’s indication, and disease recurrence is a very common phenomenon in COVID-19 cases [27,28].

Renjun Yang, Nuoya Yin, Yang Zhang, Francesco Faiola

JMIR Form Res 2025;9:e71519