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Journal of Medical Internet Research - Impact of Internet Hospital ...
Feb 26, 2024 · Background: Internet hospital consultations are emerging in China as a new channel for patients to access health care services. Unlike third-party health care platforms such as Haodf, Teladoc Health, and MDLive, internet hospitals seamlessly integrate patients’ offline medical records with online consultations, offering a …
Journal of Medical Internet Research - The Evolution of Health ...
Apr 29, 2024 · Background: Health information technology (health IT) has revolutionized health care in the United States through interoperable clinical care data exchange, e-prescribing, electronic public health reporting, and electronic patient access to health information. Objective: This study aims to examine progress in health IT adoption and its alignment with the Office of the Assistant Secretary for ...
Journal of Medical Internet Research - 2025 Volume
Journal of Medical Internet Research 9312 articles ; JMIR Research Protocols 4439 articles ; JMIR Formative Research 3232 articles ; JMIR mHealth and uHealth 2754 articles ; Online Journal of Public Health Informatics 1722 articles
Journal of Medical Internet Research
The Journal of Medical Internet Research (JMIR) is the pioneer open access eHealth journal, and is the flagship journal of JMIR Publications. It is a leading health services and digital health journal globally in terms of quality/visibility (Journal Impact Factor™ 5.8 (Clarivate, 2024)), ranking Q1 in both the 'Medical Informatics' and 'Health Care Sciences & Services' categories, and is ...
Using ChatGPT-4 to Create Structured Medical Notes From Audio ...
Nov 9, 2023 · Background: Medical documentation plays a crucial role in clinical practice, facilitating accurate patient management and communication among health care professionals. However, inaccuracies in medical notes can lead to miscommunication and diagnostic errors. Additionally, the demands of documentation contribute to physician burnout. Although intermediaries like medical scribes and speech ...
Journal of Medical Internet Research - Electronic Health Record ...
Nov 3, 2023 · Background: The medical knowledge graph provides explainable decision support, helping clinicians with prompt diagnosis and treatment suggestions. However, in real-world clinical practice, patients visit different hospitals seeking various medical services, resulting in fragmented patient data across hospitals. With data security issues, data fragmentation limits the application of knowledge ...
The Impact of Patient Access to Electronic Health Records on …
Jan 16, 2024 · Background: Health information technologies, including electronic health records (EHRs), have revolutionized health care delivery. These technologies promise to enhance the efficiency and quality of care through improved patient health information management. Despite the transformative potential of EHRs, the extent to which patient access contributes to increased engagement with health care ...
Transformers for Neuroimage Segmentation: Scoping Review
Jan 29, 2025 · Journal of Medical Internet Research 9310 articles ; JMIR Research Protocols 4439 articles ; JMIR Formative Research 3229 articles ; JMIR mHealth and uHealth 2754 articles ; Online Journal of Public Health Informatics 1722 articles
Fitbit-Based Interventions for Healthy Lifestyle Outcomes: …
Dec 10, 2020 · Background: Unhealthy behaviors, such as physical inactivity, sedentary lifestyle, and unhealthful eating, remain highly prevalent, posing formidable challenges in efforts to improve cardiovascular health. While traditional interventions to promote healthy lifestyles are both costly and effective, wearable trackers, especially Fitbit devices, can …
The Use of Deep Learning and Machine Learning on Longitudinal ...
Aug 20, 2024 · Background: Electronic health records (EHRs) contain patients’ health information over time, including possible early indicators of disease. However, the increasing amount of data hinders clinicians from using them. There is accumulating evidence suggesting that machine learning (ML) and deep learning (DL) can assist clinicians in analyzing these large-scale EHRs, as algorithms thrive on ...