Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11606-024-09072-3 | DOI Listing |
J Gen Intern Med
October 2024
Division of Geriatrics, University of California San Francisco and the San Francisco VA Medical Center, San Francisco, CA, USA.
JMIR Hum Factors
August 2023
Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, United States.
Background: Electronic health record (EHR) data from multiple providers often exhibit important but convoluted and complex patterns that patients find hard and time-consuming to identify and interpret. However, existing patient-facing applications lack the capability to incorporate automatic pattern detection robustly and toward supporting making sense of the patient's EHR data. In addition, there is no means to organize EHR data in an efficient way that suits the patient's needs and makes them more actionable in real-life settings.
View Article and Find Full Text PDFDigit Health
June 2023
Research Center of Finance, Shanghai Business School, Shanghai, China.
Objective: In online health communities (OHCs), patients often list their physicians' expertise by user-generated tags based on their consulted diseases. These expertise tags play an essential role in recommending the match of physicians to future patients. However, few studies have examined the impact of the accessibility of e-consults on patient assessments using marking of the physicians' expertise in OHCs.
View Article and Find Full Text PDFSensors (Basel)
February 2023
School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD 4000, Australia.
People with diabetes-related foot ulcers (DFUs) need to perform self-care consistently over many months to promote healing and to mitigate risks of hospitalisation and amputation. However, during that time, improvement in their DFU can be hard to detect. Hence, there is a need for an accessible method to self-monitor DFUs at home.
View Article and Find Full Text PDFJ Med Internet Res
April 2022
Centre for Digital Transformation of Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.
Background: Patient-generated health data are increasingly used to record health and well-being concerns and engage patients in clinical care. Patient-generated photographs and videos are accessible and meaningful to patients, making them especially relevant during the current COVID-19 pandemic. However, a systematic review of photos and videos used by patients across different areas of health and well-being is lacking.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!