Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Patient Experiences and Perspectives When MyChart is Introduced in a Large Community Hospital: Mixed Methods Study.
J Med Internet Res
January 2025
Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.
Background: Patient portals, or secure websites linked to electronic medical records, have emerged as tools to provide patients with timely access to their health information. To support the potential benefits of patient portals such as improved engagement in health care, it is essential to understand how patients and caregivers experience these portals.
Objective: This study aimed to explore patient and caregiver experiences, facilitators, and barriers to accessing and using a patient portal called MyChart during the initial stages of its implementation.
Evaluation of the Transition-to-Practice Arrangements for Novice Perioperative Nurses: Protocol for a Mixed Methods Study.
JMIR Res Protoc
January 2025
School of Nursing, Midwifery & Social Sciences, CQUniversity, Brisbane, Australia.
Background: Transitioning into the first year of clinical practice as a nurse or changing specialties in the nursing career presents a critical phase for novice nurses characterized by excitement, apprehension, and the phenomenon of "transition shock." Within perioperative nursing, this transition phase takes on distinctive challenges. However, there is a lack of empirical evidence on transition programs and arrangements.
View Article and Find Full Text PDFA Novel Artificial Intelligence-Enhanced Digital Network for Prehospital Emergency Support: Community Intervention Study.
J Med Internet Res
January 2025
Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background: Efficient emergency patient transport systems, which are crucial for delivering timely medical care to individuals in critical situations, face certain challenges. To address this, CONNECT-AI (CONnected Network for EMS Comprehensive Technical-Support using Artificial Intelligence), a novel digital platform, was introduced. This artificial intelligence (AI)-based network provides comprehensive technical support for the real-time sharing of medical information at the prehospital stage.
View Article and Find Full Text PDFUse of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study.
JMIR Res Protoc
January 2025
Decipher Health, Delhi, India.
Background: Type 2 diabetes (T2D) is a leading cause of premature morbidity and mortality globally and affects more than 100 million people in the world's most populous country, India. Nutrition is a critical and evidence-based component of effective blood glucose control and most dietary advice emphasizes carbohydrate and calorie reduction. Emerging global evidence demonstrates marked interindividual differences in postprandial glucose response (PPGR) although no such data exists in India and previous studies have primarily evaluated PPGR variation in individuals without diabetes.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!